Erping Zhou

28 papers receiving 634 citations

Peers

Erping Zhou
Comparison fields: 5 of 65
  • Polymers and Plastics 329
  • Biomedical Engineering 419
  • Electronic, Optical and Magnetic Materials 124
  • Mechanical Engineering 168
  • Cognitive Neuroscience 61
Replace Jaeman Lim with:
Jaeman Lim South Korea
Yanqiang Hu China
Sihao Qian China
Hongda Lu Australia
Haoming Pang China
Xiwen Fan China
Haicai Lv China
Masaki Omiya Japan
Hamid Dalir United States
Erping Zhou relative to Jaeman Lim South Korea Jaeman Lim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Erping Zhou

Since Specialization
Citations

This map shows the geographic impact of Erping Zhou'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 Erping Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erping Zhou more than expected).

Fields of papers citing papers by Erping Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erping Zhou. 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 Erping Zhou. The network helps show where Erping Zhou may publish in the future.

Co-authors

The 25 scholars most cited alongside Erping Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Erping Zhou Line = papers co-authored together Erping Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018172
2 2016168
3 201756
4 201944
5 200127
6 201621
7 200119
8 200718
9 200015
10 201613
11 200112
12 201312
13
Direct Flux Control (DFC): A New Sensorless Control Method for PMSM
20129
14 20029
15 19969
16 20117
17 20126
18 20116
19 20225
20 20115

About Erping Zhou

Erping Zhou is a scholar working on Mechanical Engineering, Biomedical Engineering, Electrical and Electronic Engineering, Computational Mechanics and Polymers and Plastics, having authored 30 papers that have together received 659 indexed citations. Recurring topics across this work include Laser Material Processing Techniques (6 papers), Conducting polymers and applications (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Electric Motor Design and Analysis (4 papers), Sensorless Control of Electric Motors (4 papers), Advanced Surface Polishing Techniques (3 papers), Magnetic Bearings and Levitation Dynamics (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Polymers and Plastics (329 citations), Biomedical Engineering (419 citations), Electronic, Optical and Magnetic Materials (124 citations), Mechanical Engineering (168 citations) and Cognitive Neuroscience (61 citations). Erping Zhou has collaborated with scholars based in United Kingdom, Germany and China. Frequent co-authors include Jikui Luo, Pengfei Zhao, Navneet Soin, Jinkai Chen, K. Prashanthi, Carlo Montemagno, Shurong Dong, Anand Arcot Narasimulu, Zhigang Zhu and Peng Ding. Their work appears in journals such as Nano Energy, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, Optics & Laser Technology, Journal of Manufacturing Systems and Sensors and Actuators A Physical.

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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