Min Ding
Impact in
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- Power Systems and Renewable Energy
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- Microgrid Control and Optimization
Papers in
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- Energy Load and Power Forecasting 12
- Smart Grid Energy Management 9
- Electric Power System Optimization 5
- Wind Turbine Control Systems 4
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- Microgrid Control and Optimization 14
- Co-authors
- Min Wu (10 shared papers)Yosuke Nakanishi (3 shared papers)Ryuichi Yokoyama (8 shared papers)Hua Xie (3 shared papers)Hao Zhou (3 shared papers)Weihua Cao (7 shared papers)Dianhong Wang (6 shared papers)Xiaomin Wu (6 shared papers)
- Journals
- Energies (2 papers)Neurocomputing (1 paper)International Journal of Medical Informatics (1 paper)Giant (1 paper)New Journal of Physics (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Min Ding
60 papers receiving 828 citations
Peers
Comparison fields: 5 of 95
- Energy Engineering and Power Technology 134
- Control and Systems Engineering 257
- Renewable Energy, Sustainability and the Environment 180
- Electrical and Electronic Engineering 559
- Artificial Intelligence 196
Countries citing papers authored by Min Ding
This map shows the geographic impact of Min 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 Min Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Ding more than expected).
Fields of papers citing papers by Min Ding
This network shows the impact of papers produced by Min 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 Min Ding. The network helps show where Min Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Min 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 149 | |
| 2 | A Review on the Effect of Large-scale PV Generation on Power Systems | 2014 | 119 |
| 3 | 2020 | 103 | |
| 4 | 2020 | 64 | |
| 5 | 2019 | 37 | |
| 6 | 2022 | 32 | |
| 7 | 2020 | 29 | |
| 8 | 2019 | 28 | |
| 9 | 2005 | 27 | |
| 10 | 2019 | 25 | |
| 11 | 2018 | 25 | |
| 12 | 2015 | 24 | |
| 13 | 2019 | 18 | |
| 14 | 2021 | 16 | |
| 15 | 2019 | 16 | |
| 16 | 2020 | 12 | |
| 17 | 2014 | 11 | |
| 18 | 2023 | 9 | |
| 19 | 2024 | 6 | |
| 20 | 2024 | 6 |
About Min Ding
Min Ding is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Artificial Intelligence and Renewable Energy, Sustainability and the Environment, having authored 68 papers that have together received 852 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (14 papers), Power Systems and Renewable Energy (13 papers), Energy Load and Power Forecasting (12 papers), Smart Grid Energy Management (9 papers), Photovoltaic System Optimization Techniques (9 papers), Solar Radiation and Photovoltaics (6 papers), Electric Power System Optimization (5 papers) and Wind Turbine Control Systems (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (134 citations), Control and Systems Engineering (257 citations), Renewable Energy, Sustainability and the Environment (180 citations), Electrical and Electronic Engineering (559 citations) and Artificial Intelligence (196 citations). Min Ding has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Min Wu, Yosuke Nakanishi, Ryuichi Yokoyama, Hua Xie, Hao Zhou, Weihua Cao, Dianhong Wang, Xiaomin Wu, Zhijian Fang and M.B. Shafik. Their work appears in journals such as Energies, Neurocomputing, International Journal of Medical Informatics, Giant and New Journal of Physics.
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.