Kun Ding
Impact in
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- Photovoltaic System Optimization Techniques
- Solar Thermal and Photovoltaic Systems
Papers in
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- Photovoltaic System Optimization Techniques 36
- Solar Thermal and Photovoltaic Systems 11
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- solar cell performance optimization 11
- Energy Load and Power Forecasting 7
- Smart Grid and Power Systems 5
- Co-authors
- Tao Peng (1 shared paper)Jingwei Zhang (16 shared papers)Yongjie Liu (11 shared papers)Zenan Yang (11 shared papers)Xiang Chen (15 shared papers)Yuanliang Li (7 shared papers)Jun‐Wei Xu (2 shared papers)Thomas Reindl (4 shared papers)
In The Last Decade
Kun Ding
65 papers receiving 970 citations
Peers
Comparison fields: 5 of 70
- Renewable Energy, Sustainability and the Environment 626
- Energy Engineering and Power Technology 70
- Artificial Intelligence 424
- Electrical and Electronic Engineering 567
- Control and Systems Engineering 213
Countries citing papers authored by Kun Ding
This map shows the geographic impact of Kun 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 Kun Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Ding more than expected).
Fields of papers citing papers by Kun Ding
This network shows the impact of papers produced by Kun 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 Kun Ding. The network helps show where Kun Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 236 | |
| 2 | 2021 | 72 | |
| 3 | 2014 | 58 | |
| 4 | 2018 | 56 | |
| 5 | 2022 | 45 | |
| 6 | Power Characteristics of Jiuquan Wind Power Base | 2010 | 39 |
| 7 | 2021 | 37 | |
| 8 | 2022 | 36 | |
| 9 | 2013 | 33 | |
| 10 | 2023 | 30 | |
| 11 | 2023 | 25 | |
| 12 | 2019 | 24 | |
| 13 | 2024 | 22 | |
| 14 | 2023 | 18 | |
| 15 | 2022 | 18 | |
| 16 | 2019 | 15 | |
| 17 | 2023 | 15 | |
| 18 | 2012 | 14 | |
| 19 | 2016 | 14 | |
| 20 | 2018 | 14 |
About Kun Ding
Kun Ding is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering and Energy Engineering and Power Technology, having authored 75 papers that have together received 1.0k indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (36 papers), Solar Radiation and Photovoltaics (25 papers), Power Systems and Renewable Energy (14 papers), Solar Thermal and Photovoltaic Systems (11 papers), solar cell performance optimization (11 papers), Energy Load and Power Forecasting (7 papers), Microgrid Control and Optimization (5 papers) and Smart Grid and Power Systems (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (626 citations), Energy Engineering and Power Technology (70 citations), Artificial Intelligence (424 citations), Electrical and Electronic Engineering (567 citations) and Control and Systems Engineering (213 citations). Kun Ding has collaborated with scholars based in China, Germany and Singapore. Frequent co-authors include Tao Peng, Jingwei Zhang, Jingwei Zhang, Yongjie Liu, Zenan Yang, Xiang Chen, Yuanliang Li, Jun‐Wei Xu, Thomas Reindl and Meng Jiang. Their work appears in journals such as Energy, Energy Conversion and Management, Solar Energy, IET Renewable Power Generation 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.