Ms. Haitong Yang | Renewable Energy | Women Researcher Award

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Ms. Haitong Yang | Renewable Energy | Women Researcher Award

Ms. Haitong Yang | China university of geosciences | China

Ms. Haitong Yang is a joint Ph.D. student at the China University of Geosciences (Beijing) specializing in Oil and Gas Engineering, with research focusing on advanced interpretation methods for production profiling based on microbial DNA sequencing. His academic background includes a Master’s degree in Oil and Gas Engineering from the China University of Petroleum (Beijing), where his work centered on production dynamic monitoring using microbial DNA sequencing, and a Bachelor’s degree in Oil and Gas Storage and Transportation Engineering from Northeast Petroleum University. Haitong has been recognized with multiple national and international awards, including the National Scholarship for Chinese Graduate Students, first prizes in the China Doctoral Academic Forum and the Asia Pacific Cup in Mathematical Modeling, as well as honors in innovation and entrepreneurship competitions. His technical expertise encompasses DNA extraction experiments, Mothur, CMG, Petrel, and MATLAB, applied to major projects in Shengli and Changqing Oilfields, where his work integrates microbial genomics with petroleum engineering to optimize reservoir evaluation, water flow path tracking, and fluid biomarker analysis. His contributions have resulted in 9 published documents, 51 citations by 47 documents, and an h-index of 3, reflecting his growing impact in the field of intelligent oil and gas engineering and reservoir characterization.

Profile: Scopus

Featured Publication

Yang, H., Kang, Z., Wang, S., & Jiang, H. (2025). DNA-sequencing method maps subsurface fluid flow paths for enhanced monitoring. Communications Earth and Environment.

 

Dr. Kun-Ying Li | Sustainable Engineering | Best Researcher Award

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Dr. Kun-Ying Li | Sustainable Engineering | Best Researcher Award

Dr. Kun-Ying Li | National Chin-Yi University of Technology | Taiwan

Dr. Kun-Ying Li is an accomplished researcher in sustainable engineering and intelligent manufacturing, focusing on low-carbon technologies and energy-efficient machine tools. His research encompasses ISO14064-1:2018 greenhouse gas inventory, industrial energy-saving methods, intelligent thermal error analysis, cooling optimization, multi-objective optimization, and precision machinery design. His work emphasizes the integration of reliability engineering, applied mathematics, smart manufacturing systems, and computer-assisted engineering within the framework of Industry 4.0. He has contributed to several industry-academic collaboration projects aimed at optimizing cooling systems for multi-axis machine tools and implementing carbon inventory strategies in manufacturing transformation programs. These projects have involved partnerships with precision machinery and metal manufacturing companies, supported by national funding agencies. His expertise extends to developing innovative approaches for reducing energy consumption, enhancing process reliability, and improving the performance of advanced machine tools. Through a combination of technical insight and practical application, his research supports the transition toward intelligent, sustainable, and high-efficiency production systems that align with global goals for carbon reduction and green industry innovation. He has 220 citations by 151 documents, 29 published documents, and an h-index of 9, reflecting his consistent research contributions and growing academic influence in the fields of precision engineering and green manufacturing.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

  • Liu, Y. C., Li, K. Y., & Tsai, Y. C. (2021). Spindle thermal error prediction based on LSTM deep learning for a CNC machine tool. Applied Sciences, 11(12), 5444.

  • Li, K. Y., Luo, W. J., & Wei, S. J. (2020). Machining accuracy enhancement of a machine tool by a cooling channel design for a built-in spindle. Applied Sciences, 10(11), 3991.

  • Hsieh, M. C., Maurya, S. N., Luo, W. J., Li, K. Y., Hao, L., & Bhuyar, P. (2022). Coolant volume prediction for spindle cooler with adaptive neuro-fuzzy inference system control method. Sensors & Materials, 34, 28.

  • Li, K. Y., Luo, W. J., Hong, X. H., Wei, S. J., & Tsai, P. H. (2020). Enhancement of machining accuracy utilizing varied cooling oil volume for machine tool spindle. IEEE Access, 8, 28988–29003.

  • Li, K. Y., Maurya, S. N., Lee, Y. H., Luo, W. J., Chen, C. N., & Wellid, I. (2023). Thermal deformation and economic analysis of a multi-object cooling system for spindles with varied coolant volume control. The International Journal of Advanced Manufacturing Technology, 126(3), 1807–1821.

  • Maurya, S. N., Li, K. Y., Luo, W. J., & Kao, S. Y. (2022). Effect of coolant temperature on the thermal compensation of a machine tool. Machines, 10(12), 1201.

 

Dr. Nisha Dagade | Renewable Energy | Best Researcher Award

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Dr. Nisha Dagade | Renewable Energy | Best Researcher Award

Dr. Nisha Dagade | Sinhgad Institutes | India

Dr. Nisha R. Dagade  is an accomplished Assistant Professor at Sinhgad Institutes, Pune, India, specializing in electrical power systems with a particular focus on Distributed Generation  and Reliability Analysis. Her research emphasizes the optimal integration of renewable DG sources into modern distribution networks, addressing both technical and economic challenges through heuristic and metaheuristic optimization approaches such as Ant Colony Optimization (ACO). Dr. Dagade’s scholarly contributions explore multi-objective frameworks that aim to reduce power losses, improve voltage profiles, and enhance the overall reliability and cost-effectiveness of distribution systems. Her notable work, “Ant colony optimization technique for integrating renewable DG in distribution system with techno-economic objectives,” published in Evolving Systems (2022), has gained significant academic recognition. With a strong research portfolio comprising 10 completed and ongoing projects, 7 Scopus-indexed journal publications, and one published book, and maintains an active research profile with 61 citations, an h-index of 5, and an i10-index of 2 , she continues to advance innovation in the domain of sustainable power systems. She has also collaborated with IIT Bombay on research initiatives that bridge academic insights with real-world applications. Her professional memberships in IAENG and I2OR reflect her active engagement in the global engineering research community. Dr. Dagade’s work embodies the integration of renewable energy technologies for efficient, reliable, and environmentally responsible power system development.

Profile: Google Scholar

Featured Publications

  • Godha, N. R., Bapat, V. N., & Korachagaon, I. (2022). Ant colony optimization technique for integrating renewable DG in distribution system with techno-economic objectives. Evolving Systems, 13(3), 485–498.

  • Godha, N. R., Deshmukh, S. R., & Dagade, R. V. (2011). Application of Monte Carlo simulation for reliability cost/worth analysis of distribution system. In 2011 International Conference on Power and Energy Systems (pp. 1–6).

  • Godha, N. R., Deshmukh, S. R., & Dagade, R. V. (2012). Time sequential Monte Carlo simulation for evaluation of reliability indices of power distribution system. In Proceedings of the 2012 IEEE Symposium on Computers and Informatics (ISCI 2012).

  • Godha, N. R., Bapat, V. N., & Korachagaon, I. (2019). Placement of distributed generation in distribution networks: A survey on different heuristic methods. In Techno-Societal 2018: Proceedings of the 2nd International Conference on Techno-Societal.

  • Dagade, N. R. G., Bapat, V. N., & Korachagaon, I. (2020). Improved ACO for planning and performance analysis of multiple distributed generations in distribution system for various load models. In 2020 Second International Sustainability and Resilience Conference.

 

 

Assist. Prof. Dr. Mostafa Wageh lotfy Mohamed | Renewable Energy | Best Researcher Award

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Assist. Prof. Dr. Mostafa Wageh lotfy Mohamed | Renewable Energy | Best Researcher Award

Assist. Prof. Dr. Mostafa Wageh lotfy Mohamed | Beni-Suef University | Egypt

Dr. Mostafa Wageh Lotfy Mohamed is an Assistant Professor in the Department of Process Control Technology at the Faculty of Technology and Education, Beni-Suef University, Egypt. He earned his PhD in Electrical Power and Machines from Beni-Suef University, where his doctoral research focused on the control of Split-Source Inverters for renewable energy applications. His academic foundation also includes an M.Sc. degree on the performance analysis of high-gain DC-DC converters for distributed generation systems, and a B.Sc. in Automatic Control with an excellent grade. Dr. Mohamed has extensive expertise in power electronics, control systems, and renewable energy technologies, particularly in DC/DC and DC/AC converters, transformer-less Split-Source Inverters, and intelligent control strategies for energy systems. He has successfully led multiple funded research projects, including the design and implementation of three-phase Split-Source Inverters for renewable energy applications and an innovative 3D-printed small wind turbine for low-speed regions. His scholarly impact is reflected in 75 citations , an h-index of 5, and an i10-index of 4. Through his research and innovation, Dr. Mohamed continues to contribute to advancing renewable energy integration, sustainable system design, and technological progress in Egypt and globally.

Profile: Google Scholar

Featured Publications

  1. Lotfy, M. W., Dabour, S. M., Mostafa, R. M., Almakhles, D. J., & Elmorshedy, M. F. (2023). Modeling and control of a voltage-lift cell split-source inverter with MPPT for photovoltaic systems. IEEE Access.

  2. Shehata, E. G., Thomas, J., Brisha, A. M., & Wageh, M. (2017). Design and analysis of a quasi Y-source impedance network DC–DC converter. Proceedings of the 2017 Nineteenth International Middle East Power Systems Conference (MEPCON), 1-6. IEEE.

  3. Wageh, M., Dabour, S. M., & Mostafa, R. M. (2021). A high gain split-source inverter with reduced input current ripple. Proceedings of the 2021 22nd International Middle East Power Systems Conference (MEPCON), 383-388. IEEE.

  4. Wageh, M., Dabour, S. M., Mostafa, R. M., & Ghalib, M. A. (2021). Space vector PWM of three-phase inverter with MPPT for photovoltaic system. Australian Journal of Electrical and Electronics Engineering, 18(4), 310-318.

  5. Wageh, M., Dabour, S. M., & Mostafa, R. M. (2022). A new four-switch split-source boosting inverter: Analysis and modulation. Proceedings of the 2022 23rd International Middle East Power Systems Conference (MEPCON), 1-7. IEEE.

  6. Ali, M. M., Elmorshedy, M. F., Gabr, M. A., Ramadan, H. S., & Lotfy, M. W. (2023). An enhanced finite-set model predictive control based super twisting sliding mode speed controller for linear metro applications. Proceedings of the 2023 24th International Middle East Power System Conference (MEPCON), 1-6. IEEE.

 

 

Dr. Yuanyuan Ren | Biomechanics Research | Best Researcher Award

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Dr. Yuanyuan Ren | Biomechanics Research | Best Researcher Award

Dr. Yuanyuan Ren | Suzhou City University | China

Dr. Yuanyuan Ren is a researcher specializing in human movement science and sports biomechanics. Her academic focus lies in understanding the mechanical and physiological principles of human motion, aiming to improve athletic performance and reduce injury risks through scientific analysis. She has produced 11 research documents that contribute valuable insights into motion mechanics, biomechanical modeling, and sports performance optimization. Her work has been cited 164 times by 160 documents, with an h-index of 7, demonstrating significant academic influence and consistent research quality. Ren’s research integrates modern technologies such as motion capture and biomechanical simulation tools to analyze body dynamics, joint function, and muscle performance under various conditions. She actively explores how biomechanical principles can be applied to enhance physical training strategies, rehabilitation programs, and athletic techniques. By combining analytical precision with a deep understanding of sports science, her contributions support the development of innovative methods for improving human motion efficiency and overall physical capability. Her studies represent a growing body of work that bridges theoretical biomechanics with practical applications in sports and health sciences, positioning her among the emerging researchers driving forward advancements in human movement research.

Profile: Scopus

Featured Publication

Ren, Y. (2025). Lower-extremity muscle strength symmetry assessment through isokinetic dynamometry. Life, 2025(Article), Open access.

Prof. Dr. Jose Manuel Andujar Marquez | Renewable Energy | Hydrogen Energy Award

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Prof. Dr. Jose Manuel Andujar Marquez | Renewable Energy | Hydrogen Energy Award

Prof. Dr. Jose Manuel Andujar Marquez | University of Huelva | Spain

Prof. Dr. Jose Manuel Andujar Marquez is a Full Professor at the University of Huelva in Spain with expertise in control engineering, renewable energies, hydrogen technologies, energy rehabilitation, engineering education, and precision farming. He holds a PhD in Engineering from the University of Huelva, a degree in Physical Sciences from UNED, and an Industrial Technical Engineering degree from the University of Seville. Over his career, he has authored more than five hundred fifty publications including journal articles, books, book chapters, conference papers, and patents, with over one hundred seventy articles indexed in ISI JCR journals and more than ninety in Q1 journals. Notably, fifty-four of his articles appear in the top ten journals in their category, several ranking first. His work has significant international impact, reflected in an h index of forty or more on Scopus, forty-six or more on ResearchGate, and fifty-two or more on Google Scholar, with over ten thousand citations in major databases and more than two hundred fifty thousand reads on ResearchGate. His research contributions span intelligent control systems, renewable energy integration, sustainable engineering technologies, and precision farming, demonstrating a strong commitment to innovation and advancing engineering solutions for global challenges. His publications have influenced both academic research and practical applications in energy efficiency, smart systems, and sustainable technology development.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

Andújar, J. M., & Segura, F. (2009). Fuel cells: History and updating. A walk along two centuries. Renewable and Sustainable Energy Reviews, 13(9), 2309-2322.

Andújar, J. M., Mejías, A., & Márquez, M. A. (2010). Augmented reality for the improvement of remote laboratories: An augmented remote laboratory. IEEE Transactions on Education, 54(3), 492-500.

Enrique, J. M., Durán, E., Sidrach-de-Cardona, M., & Andújar, J. M. (2007). Theoretical assessment of the maximum power point tracking efficiency of photovoltaic facilities with different converter topologies. Solar Energy, 81(1), 31-38.

Vivas, F. J., De las Heras, A., Segura, F., & Andújar, J. M. (2018). A review of energy management strategies for renewable hybrid energy systems with hydrogen backup. Renewable and Sustainable Energy Reviews, 82, 126-155.

Enrique, J. M., Andújar, J. M., & Bohorquez, M. A. (2010). A reliable, fast and low cost maximum power point tracker for photovoltaic applications. Solar Energy, 84(1), 79-89.

Sánchez Cordero, A., Gómez Melgar, S., & Andújar Márquez, J. M. (2019). Green building rating systems and the new framework Level(s): A critical review of sustainability certification within Europe. Energies, 13(66), 1-26.

Durán, E., Piliougine, M., Sidrach-de-Cardona, M., Galán, J., & Andújar, J. M. (2008). Different methods to obtain the I–V curve of PV modules: A review. In 2008 33rd IEEE Photovoltaic Specialists Conference (pp. 1-6).

Mr. Tianyu Liu | Control Systems Engineering | Best Research Article Award

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Mr. Tianyu Liu | Control Systems Engineering | Best Research Article Award

Mr. Tianyu Liu | XJ Electric Corporation | China

Mr. Tianyu Liu is a skilled product designer at XJ Electric Co., LTD., Xu Chang, China, recognized for his innovative contributions to power electronics and control systems. His research focuses on optimizing dc-dc converters, with a particular emphasis on enhancing the performance and efficiency of resonant converter systems. In his publication titled “Optimizing triple phase-shift modulation for CLLLC resonant converters” in the Journal of Power Electronics, he addresses key challenges such as insufficient low-voltage gain range and the difficulty of achieving wide-range zero-voltage soft switching (ZVS) under traditional modulation schemes. His study proposes an optimized triple phase-shift modulation strategy that effectively analyzes the impact of three phase angles on voltage gain and resonant current RMS, enabling better control and reduced losses. The proposed method, verified through a 1 kW prototype using a multiple-harmonic impedance model, demonstrates superior efficiency and a significantly expanded gain range. Beyond academic research, Tianyu has also applied his expertise in practical engineering through industry projects such as the design of Vehicle-to-Grid (V2G) smart charging piles and rectifier control systems for electric vehicle charging stations, contributing to the advancement of modern power conversion and sustainable energy technologies.

Profile: Orcid

Featured Publication

Hu, Z., & Liu, T. (2025, May 11). Optimizing triple phase-shift modulation for CLLLC resonant converters. Journal of Power Electronics.

 

Assoc. Prof. Dr Wei Wang | Smart Grid Systems | Best Researcher Award

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Assoc. Prof. Dr Wei Wang | Smart Grid Systems | Best Researcher Award

Assoc. Prof. Dr Wei Wang | Nanjing Normal University | China

Assoc. Prof. Dr. Wei Wang, is an accomplished Associate Professor and Assistant to the Dean at the School of Electrical and Automation Engineering, Nanjing Normal University, and an IEEE Senior Member recognized for his extensive contributions to electrical engineering. Holding M.S. and Ph.D. degrees from Southeast University, his research expertise spans electromagnetic field computation, energy harvesting, and innovative wireless power transfer (WPT) systems. He has successfully led or participated in 26 research projects and 21 consultancy collaborations with industry, published 35 peer-reviewed journal papers, authored two academic books, and holds 32 patents. His research achievements are reflected in 1,165 citations by 972 documents, with 90 publications and an h-index of 19. As an editorial board member and guest editor of several international journals, Dr. Wang also serves as a guest researcher at the State Key Laboratory for Smart Grid Protection and Operation Control. His notable innovation—the PPS-S topology with adjustable output power and a quasi-constant-power-constant-voltage (QCP-CV) charging strategy—addresses the limitations of conventional WPT systems by achieving zero-voltage-switching (ZVS) while maintaining power stability around 65 W and reducing power fluctuation by 80% under varying loads. His pioneering work has earned him prestigious honors, including the Second Prize for Scientific Research and Technological Invention from the Ministry of Education and a Gold Award at the 2023 Geneva International Invention Exhibition, solidifying his impact in advanced power transfer technologies.

Profile: Scopus

Featured Publications

Wang, W. (2025). Research on self-powered high precision voltage measurement technology for the power lines based on the inversion of electric field. Zhongguo Dianji Gongcheng Xuebao Proceedings of the Chinese Society of Electrical Engineering.

Wang, W. (2025). Regulation strategy of impact response of regional integrated energy system based on ultra short term prediction. Journal of Electrical Engineering China.

Wang, W. (2025). Optimized constant power charging of PT-symmetry-based three-coil WPT system. Conference Paper.

Wang, W. (2025). Analysis and optimization of energy harvesting characteristics of converter valve magnetic field self-powered harvester. Electric Power Engineering Technology.

Wang, W. (2025). Extended effective distance of PT-symmetry-based double-coil WPT system. Conference Paper.

Wang, W. (2025). Quasi-constant power wireless charging strategy based on power adjustable PPS-S topology. Journal of Power Electronics.

Dr. Aamir Ali | Smart Grid Systems | Best Researcher Award

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Dr. Aamir Ali | Smart Grid Systems | Best Researcher Award

Dr. Aamir Ali | Quaid-e-Awam University of Engineering Science and Technology | Pakistan

Dr. Aamir Ali is currently serving as an Assistant Professor (BPS-19) in the Department of Electrical Engineering at Quaid-e-Awam University of Engineering, Science and Technology (QUEST), Nawabshah, Sindh, Pakistan. He is a highly dedicated academic and researcher specializing in power system planning and optimization, distributed generation, and microgrid operations in both islanded and grid-connected modes. Dr. Ali earned his Ph.D. in Electrical Engineering from QUEST in 2020, where his doctoral research focused on single and multi-objective mathematical programming, direct search evolutionary algorithms, and optimization techniques for economic dispatch, optimal power flow, and unit commitment with renewable energy integration such as wind and solar PV systems. Prior to his doctorate, he completed his Master of Engineering in Power System Optimization from the same institution in 2015 and his Bachelor of Engineering in Electrical Power with an outstanding 85% score in 2012. His academic journey began with strong foundational performance at the intermediate and matriculation levels, both from the Board of Intermediate and Secondary Education, Hyderabad, Sindh, where he secured first division and A-1 grade distinctions. With 445 citations by 342 documents, 27 published works, and an h-index of 11, Dr. Aamir Ali has established himself as an active researcher in power systems optimization. He aspires to continue contributing to academia and research while leading a top-tier institution toward excellence in education and innovation.

Profile: Scopus | Orcid

Featured Publications

Akbar Talani, R., Kaloi, G. S., Ali, A., Abbas, G., Emara, A., & Touti, E. (2025, July 29). Fault analysis and performance improvement of grid-connected doubly fed induction generator through an enhanced crowbar protection scheme. PLOS One.

Ali, A., Akbar Talani, R., Kaloi, G. S., Bijarani, M. A., Abbas, G., Hatatah, M., Mercorelli, P., & Touti, E. (2025, January 29). Dynamic performance analysis and fault ride-through enhancement by a modified fault current protection scheme of a grid-connected doubly fed induction generator. Machines, 13(2).

Ali, A., Ali, A., Liu, Z., Abbas, G., Touti, E., & Nureldeen, W. (2024). Dynamic multi-objective optimization of grid-connected distributed resources along with battery energy storage management via improved bidirectional coevolutionary algorithm. IEEE Access.

Ali, A., Shah, A., Keerio, M. U., Mugheri, N. H., Abbas, G., Touti, E., Hatatah, M., Yousef, A., & Bouzguenda, M. (2024). Multi-objective security constrained unit commitment via hybrid evolutionary algorithms. IEEE Access.

Abbas, G., Wu, Z., & Ali, A. (2024, December). A two-stage reactive power optimization method for distribution networks based on a hybrid model and data-driven approach. IET Renewable Power Generation.

Ali, A., Aslam, S., Mirsaeidi, S., Mugheri, N. H., Memon, R. H., Abbas, G., & Alnuman, H. (2024, December). Multi-objective multiperiod stable environmental economic power dispatch considering probabilistic wind and solar PV generation. IET Renewable Power Generation.

Prof. Aleksander Yurov | Robotics & Automation | Best Researcher Award

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Prof. Aleksander Yurov | Robotics & Automation | Best Researcher Award

Dr. Aleksander Yurov | Don State Technical University | Russia

Prof. Aleksander Yurov is the Head of the Department of Digital Technologies and Platforms in the Electric Power Industry at Don State Technical University, leading multiple high-impact research and innovation initiatives. He serves as the principal executor of grants from the Russian Science Foundation and the Foundation for the Promotion of Innovation, working on programs such as START, DevelopmentNTI/Energynet, CODE-Digital Technologies, and Export, with a focus on “Resource-saving Energy” and “New Devices and Intelligent Production Technologies.” His research encompasses diagnostics of power cable lines, devices and methods for detecting damage to overhead lines, relay protection and emergency automation, and monitoring and analysis of insulation materials in distribution networks. Yurov has published over 60 scientific articles, holds four utility model patents, eight computer certificates, and has authored six textbooks, demonstrating a robust commitment to both academic scholarship and applied innovation. His completed and ongoing projects include a Russian Science Foundation grant on the vibrational-wave phenomena affecting dielectric composition and residual insulation life in power transmission lines, as well as projects on adaptive high-voltage power supply technology for intelligent diagnostic systems and the deployment of software-hardware complexes for distribution network diagnostics in international markets. He has actively contributed to consultancy and industry projects, totaling five, strengthening the bridge between research, practical implementation, and technological advancement in the electric power sector.

Profile: Scopus | Orcid

Featured Publications

  • Yurov, A. A. (2023). Device for determining the places of damage to the insulation of 6-10 kV power cable lines based on intelligent control functions. Electrical Stations.

  • Yurov, A. A. (2021). Determining the mode of operation of the system section, taking into account the current topology and predictive analysis of the active-adaptive network of 6-10 kV. Conference Paper.

  • Yurov, A. A. (2021). High-voltage smart electricity metering of 110 kV digital electric networks. Conference Paper.

  • Yurov, A. A., & Voronov, A. S. (2021). Improving the efficiency of technical means and methods for diagnostics of isolation of high-voltage distribution networks. IOP Conference Series: Materials Science and Engineering, 1029(1), 012038.

  • Yurov, A. A., Minkin, M. S., & Kuimov, D. N. (2021). Schemes of high-voltage rectifiers as part of dust removal electric gates. IOP Conference Series: Materials Science and Engineering, 1029(1), 012044.