Ming Ding
Impact in
- Sensory Systems top 5%
Papers in
-
- Smart Grid and Power Systems 15
-
- Microgrid Control and Optimization 21
- Robot Manipulation and Learning 13
- Co-authors
- Tsukasa Ogasawara (48 shared papers)Jie Tang (12 shared papers)Rui Bi (6 shared papers)Jun Ueda (12 shared papers)Robert F. Margolskee (2 shared papers)Hongxia Yang (4 shared papers)Yuxiao Dong (7 shared papers)Chang Zhou (3 shared papers)
- Journals
- Dianli xitong zidonghua (3 papers)Proceedings of the National Academy of Sciences (2 papers)Solar Energy (2 papers)IEEE Access (2 papers)Energies (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Ming Ding
147 papers receiving 2.3k citations
Ming Ding's Hit Papers
Peers
Comparison fields: 5 of 137
- Energy Engineering and Power Technology 141
- Sensory Systems 124
- Rehabilitation 159
- Control and Systems Engineering 604
- Artificial Intelligence 798
Countries citing papers authored by Ming Ding
This map shows the geographic impact of Ming Ding'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 Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Ding more than expected).
Fields of papers citing papers by Ming Ding
This network shows the impact of papers produced by Ming Ding. 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 Ding. The network helps show where Ming Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Are we really making much progress? Hit paper breakdown → | 2021 | 161 |
| 2 | 2011 | 157 | |
| 3 | 2019 | 149 | |
| 4 | 2019 | 119 | |
| 5 | 2020 | 117 | |
| 6 | 2010 | 100 | |
| 7 | 2010 | 100 | |
| 8 | 2022 | 88 | |
| 9 | 1998 | 86 | |
| 10 | 1999 | 74 | |
| 11 | 2008 | 63 | |
| 12 | 2022 | 58 | |
| 13 | 2011 | 50 | |
| 14 | 2021 | 40 | |
| 15 | 2017 | 35 | |
| 16 | 2009 | 34 | |
| 17 | 2023 | 32 | |
| 18 | 2015 | 31 | |
| 19 | 2006 | 30 | |
| 20 | 2018 | 29 |
About Ming Ding
Ming Ding is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Biomedical Engineering, Energy Engineering and Power Technology and Rehabilitation, having authored 162 papers that have together received 2.4k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (32 papers), Prosthetics and Rehabilitation Robotics (27 papers), Power Systems and Renewable Energy (22 papers), Microgrid Control and Optimization (21 papers), Stroke Rehabilitation and Recovery (21 papers), Smart Grid and Power Systems (15 papers), Robot Manipulation and Learning (13 papers) and Gaze Tracking and Assistive Technology (12 papers). The work is most often cited by research in Energy Engineering and Power Technology (141 citations), Sensory Systems (124 citations), Rehabilitation (159 citations), Control and Systems Engineering (604 citations) and Artificial Intelligence (798 citations). Ming Ding has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Tsukasa Ogasawara, Jie Tang, Rui Bi, Jun Ueda, Robert F. Margolskee, Hongxia Yang, Yuxiao Dong, Chang Zhou, Jun Takamatsu and Luis Ruíz-Ávila. Their work appears in journals such as Dianli xitong zidonghua, Proceedings of the National Academy of Sciences, Solar Energy, IEEE Access and Energies.
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.