Ming Yao

1.7k total citations
64 papers, 1.2k citations indexed

About

Ming Yao is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Ming Yao has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 25 papers in Control and Systems Engineering and 17 papers in Mechanical Engineering. Recurrent topics in Ming Yao's work include Electric Motor Design and Analysis (21 papers), Multilevel Inverters and Converters (19 papers) and Sensorless Control of Electric Motors (17 papers). Ming Yao is often cited by papers focused on Electric Motor Design and Analysis (21 papers), Multilevel Inverters and Converters (19 papers) and Sensorless Control of Electric Motors (17 papers). Ming Yao collaborates with scholars based in China, Australia and Japan. Ming Yao's co-authors include Xiaodong Sun, Gang Lei, Shi‐An Chen, Shuchao Cao, Dong Guo, Juncheng Wang, Young‐Bae Kim, Teng Li, Yueping Sun and Peng Wang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Access.

In The Last Decade

Ming Yao

62 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming Yao China 22 657 522 329 262 194 64 1.2k
Yulong Pei China 19 928 1.4× 765 1.5× 280 0.9× 72 0.3× 33 0.2× 126 1.2k
Yulong Lei China 17 417 0.6× 334 0.6× 368 1.1× 478 1.8× 38 0.2× 116 1.1k
Junjian Hou China 13 372 0.6× 306 0.6× 156 0.5× 482 1.8× 73 0.4× 38 833
Zhongyi Quan Canada 19 1.2k 1.9× 566 1.1× 207 0.6× 645 2.5× 21 0.1× 51 1.5k
Yu Meng China 15 103 0.2× 308 0.6× 194 0.6× 307 1.2× 70 0.4× 82 743
Mario Terzo Italy 22 102 0.2× 465 0.9× 719 2.2× 469 1.8× 675 3.5× 103 1.3k
Mike Blundell United Kingdom 15 154 0.2× 270 0.5× 427 1.3× 568 2.2× 353 1.8× 53 983
Chul Ki Song South Korea 10 185 0.3× 663 1.3× 359 1.1× 134 0.5× 351 1.8× 31 1.0k
Simos A. Evangelou United Kingdom 22 525 0.8× 487 0.9× 479 1.5× 1.3k 4.9× 562 2.9× 90 1.6k
Lijin Han China 18 564 0.9× 309 0.6× 159 0.5× 653 2.5× 36 0.2× 68 1.0k

Countries citing papers authored by Ming Yao

Since Specialization
Citations

This map shows the geographic impact of Ming Yao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yao more than expected).

Fields of papers citing papers by Ming Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Yao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming Yao. The network helps show where Ming Yao may publish in the future.

Co-authorship network of co-authors of Ming Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Yao. A scholar is included among the top collaborators of Ming Yao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Yao. Ming Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Zhaokun, et al.. (2025). Machine Learning Applications in Parallel Robots: A Brief Review. Machines. 13(7). 565–565. 2 indexed citations
2.
Sun, Xiaodong, et al.. (2025). Design Optimization of a 12/10 Switched Reluctance Motor Considering Target Driving Cycle and Driving Condition. IEEE Journal of Emerging and Selected Topics in Power Electronics. 13(4). 5305–5316. 1 indexed citations
3.
Shao, Zhufeng, et al.. (2025). Bioinspired Kirigami Structure for Efficient Anchoring of Soft Robots via Optimization Analysis. Applied Sciences. 15(14). 7897–7897.
4.
Sun, Xiaodong, et al.. (2024). Position Sensorless Control of SRMs Based on Improved Sliding Mode Speed Controller and Position Observer. IEEE Transactions on Industrial Electronics. 72(1). 100–110. 13 indexed citations
5.
Yao, Ming, et al.. (2024). A Review of Capacity Allocation and Control Strategies for Electric Vehicle Charging Stations with Integrated Photovoltaic and Energy Storage Systems. World Electric Vehicle Journal. 15(3). 101–101. 20 indexed citations
6.
Sun, Xiaodong, et al.. (2024). Improved Model-Free Predictive Current Control for SPMSM Drives With Adaptive Prediction Horizon Strategy. IEEE Transactions on Industrial Electronics. 72(6). 5705–5715. 10 indexed citations
7.
Jin, Zhijia, Xiaodong Sun, Yingfeng Cai, Ming Yao, & Xiang Tian. (2024). Simultaneous-Level Energy Management Optimization Considering Specific Urban Driving Cycles for PHEBs. IEEE/ASME Transactions on Mechatronics. 30(5). 3619–3629. 2 indexed citations
8.
Cao, Shuchao, et al.. (2024). Evacuation simulation of heterogeneous passengers in the confined carriage of high-speed train. Physica A Statistical Mechanics and its Applications. 656. 130220–130220. 1 indexed citations
9.
Sun, Xiaodong, et al.. (2024). Augmented Continuous-Control-Set Model Predictive Current Control for Dual Three-Phase PMSM Drives. IEEE/ASME Transactions on Mechatronics. 30(3). 2367–2378. 7 indexed citations
10.
Sun, Xiaodong, et al.. (2024). Fault Detection and Fault-Tolerant Control of Switched Reluctance Motor Based on Dual-Sensor Current Detection Scheme. IEEE Transactions on Transportation Electrification. 11(1). 19–28. 9 indexed citations
11.
Yao, Ming, et al.. (2023). Overview of Position-Sensorless Technology for Permanent Magnet Synchronous Motor Systems. World Electric Vehicle Journal. 14(8). 212–212. 7 indexed citations
12.
Yao, Ming, et al.. (2023). An Overview of Modelling and Energy Management Strategies for Hybrid Electric Vehicles. Applied Sciences. 13(10). 5947–5947. 43 indexed citations
13.
Yao, Ming, et al.. (2023). Overview of Predictive Control Technology for Permanent Magnet Synchronous Motor Systems. Applied Sciences. 13(10). 6255–6255. 22 indexed citations
14.
Yao, Ming, et al.. (2023). Fault-tolerant Model Predictive Current Control of Six-Phase Permanent Magnet Synchronous Motors with Pulse Width Modulation. Journal of Electrical Engineering and Technology. 18(3). 1785–1797. 1 indexed citations
15.
Sun, Xiaodong, et al.. (2022). A unified control method combined with improved TSF and LADRC for SRMs Using modified grey wolf optimization algorithm. ISA Transactions. 131. 662–671. 21 indexed citations
16.
Sun, Xiaodong, et al.. (2022). Efficient feedback linearization control for an IPMSM of EVs based on improved firefly algorithm. ISA Transactions. 134. 431–441. 22 indexed citations
17.
Sun, Xiaodong, Teng Li, Ming Yao, et al.. (2021). Improved Finite-Control-Set Model Predictive Control with Virtual Vectors for PMSHM Drives. IEEE Transactions on Energy Conversion. 1–1. 60 indexed citations
18.
Yao, Ming, Xuliang Zhang, & Chaoyang Zhao. (2013). Impact of Skin Effect, Resistive and Dielectric Losses on Current Estimation and Reliability of ULSI Interconnects. Research Journal of Applied Sciences Engineering and Technology. 5(2). 619–625. 2 indexed citations
19.
Yao, Ming. (2010). The application of temporary earth voltage (TEV) measurement in the online monitoring of the partial discharge of HV switch cabinet. 1–6. 7 indexed citations
20.
Yao, Ming. (2008). The Research of Over Voltage of 35kV GIS When Inputting and Cutting Reactors. Power System Technology. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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