Lin Ding
Impact in
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- Power Systems and Renewable Energy
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- Grey System Theory Applications
- Stock Market Forecasting Methods
Papers in
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- Neural Networks and Applications 4
- Neural Networks and Reservoir Computing 4
- Solar Radiation and Photovoltaics 3
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- Energy Load and Power Forecasting 10
- Co-authors
- Yulong Bai (10 shared papers)Yongjie Ma (3 shared papers)Yulong Bai (3 shared papers)Qinghe Yu (3 shared papers)Wanjie Wang (1 shared paper)Huilong Xu (1 shared paper)Yihu Song (1 shared paper)Xiao Zhu (1 shared paper)
- Journals
- Expert Systems with Applications (2 papers)Energy Conversion and Management (1 paper)Gene (1 paper)Scientific Reports (1 paper)Journal of Rheology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Lin Ding
22 papers receiving 483 citations
Lin Ding's Hit Papers
Peers
Comparison fields: 5 of 74
- Energy Engineering and Power Technology 33
- Management Science and Operations Research 91
- Electrical and Electronic Engineering 318
- Environmental Engineering 72
- Artificial Intelligence 147
Countries citing papers authored by Lin Ding
This map shows the geographic impact of Lin 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 Lin Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Ding more than expected).
Fields of papers citing papers by Lin Ding
This network shows the impact of papers produced by Lin 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 Lin Ding. The network helps show where Lin Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction Hit paper breakdown → | 2021 | 270 |
| 2 | 2021 | 60 | |
| 3 | 2021 | 44 | |
| 4 | 2022 | 26 | |
| 5 | 2022 | 18 | |
| 6 | 2020 | 17 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 8 | |
| 9 | 2024 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2024 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2019 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2021 | 3 | |
| 17 | Evaluation on Efficiency of Petrochemical Industry Based on AHP & DEA | 2007 | 2 |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Lin Ding
Lin Ding is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Economics and Econometrics, Management Science and Operations Research and Environmental Engineering, having authored 26 papers that have together received 496 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (10 papers), Neural Networks and Applications (4 papers), Neural Networks and Reservoir Computing (4 papers), Market Dynamics and Volatility (3 papers), Model Reduction and Neural Networks (3 papers), Solar Radiation and Photovoltaics (3 papers), Galectins and Cancer Biology (2 papers) and Stock Market Forecasting Methods (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (33 citations), Management Science and Operations Research (91 citations), Electrical and Electronic Engineering (318 citations), Environmental Engineering (72 citations) and Artificial Intelligence (147 citations). Lin Ding has collaborated with scholars based in China and United States. Frequent co-authors include Yulong Bai, Yongjie Ma, Yulong Bai, Qinghe Yu, Wanjie Wang, Huilong Xu, Yihu Song, Xiao Zhu, Yazhen Gong and Puxi Li. Their work appears in journals such as Expert Systems with Applications, Energy Conversion and Management, Gene, Scientific Reports and Journal of Rheology.
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.