Keda Pan
Impact in
- Artificial Intelligence top 10%
- Solar Radiation and Photovoltaics
- Machine Learning and ELM
Papers in
-
- Energy Load and Power Forecasting 9
- Smart Grid Energy Management 4
- Electric Power System Optimization 2
-
- Solar Radiation and Photovoltaics 8
- Machine Learning and ELM 2
- Co-authors
- Dan Zhang (2 shared papers)Xiangang Peng (2 shared papers)Yi Liu (1 shared paper)Loi Lei Lai (10 shared papers)Chun Sing Lai (10 shared papers)Wing W. Y. Ng (6 shared papers)Ting Wang (3 shared papers)Zhuoli Zhao (5 shared papers)
- Journals
- International Journal of Electrical Power & Energy Systems (1 paper)International Journal of Machine Learning and Cybernetics (1 paper)Sustainable Cities and Society (1 paper)Applied Energy (1 paper)IEEE Transactions on Smart Grid (1 paper)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Keda Pan
12 papers receiving 339 citations
Peers
Comparison fields: 5 of 47
- Energy Engineering and Power Technology 20
- Artificial Intelligence 163
- Electrical and Electronic Engineering 287
- Management Science and Operations Research 52
- Renewable Energy, Sustainability and the Environment 52
Countries citing papers authored by Keda Pan
This map shows the geographic impact of Keda Pan'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 Keda Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keda Pan more than expected).
Fields of papers citing papers by Keda Pan
This network shows the impact of papers produced by Keda Pan. 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 Keda Pan. The network helps show where Keda Pan may publish in the future.
Co-authors
The 24 scholars most cited alongside Keda Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 141 | |
| 2 | 2021 | 61 | |
| 3 | 2020 | 43 | |
| 4 | 2021 | 24 | |
| 5 | 2021 | 23 | |
| 6 | 2022 | 17 | |
| 7 | 2021 | 16 | |
| 8 | 2020 | 11 | |
| 9 | 2022 | 9 | |
| 10 | 2018 | 4 | |
| 11 | 2018 | 3 | |
| 12 | 2021 | 1 | |
| 13 | 2023 | 0 |
About Keda Pan
Keda Pan is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology and Management Science and Operations Research, having authored 13 papers that have together received 353 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (9 papers), Solar Radiation and Photovoltaics (8 papers), Smart Grid Energy Management (4 papers), Photovoltaic System Optimization Techniques (3 papers), Power Systems and Renewable Energy (3 papers), Machine Learning and ELM (2 papers), Grey System Theory Applications (2 papers) and Electric Power System Optimization (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (20 citations), Artificial Intelligence (163 citations), Electrical and Electronic Engineering (287 citations), Management Science and Operations Research (52 citations) and Renewable Energy, Sustainability and the Environment (52 citations). Keda Pan has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Dan Zhang, Xiangang Peng, Yi Liu, Loi Lei Lai, Chun Sing Lai, Wing W. Y. Ng, Ting Wang, Zhuoli Zhao, Dongxiao Wang and Ying Gao. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, International Journal of Machine Learning and Cybernetics, Sustainable Cities and Society, Applied Energy and IEEE Transactions on Smart Grid.
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.