Binrong Wu
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Grey System Theory Applications
Papers in
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- Energy Load and Power Forecasting 14
- Electric Power System Optimization 3
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- Stock Market Forecasting Methods 8
- Forecasting Techniques and Applications 4
- Co-authors
- Lin Wang (15 shared papers)Yu‐Rong Zeng (8 shared papers)Sirui Wang (1 shared paper)Sheng-Xiang Lv (3 shared papers)Lu Peng (1 shared paper)Qing Zhu (1 shared paper)Rui Tao (1 shared paper)Haoyu Fang (2 shared papers)
- Journals
- Energy (6 papers)Applied Intelligence (4 papers)Journal of Forecasting (3 papers)Applied Soft Computing (2 papers)Neural Processing Letters (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Binrong Wu
20 papers receiving 558 citations
Binrong Wu's Hit Papers
Peers
Comparison fields: 5 of 83
- Management Science and Operations Research 155
- Tourism, Leisure and Hospitality Management 10
- Economics and Econometrics 144
- Electrical and Electronic Engineering 262
- Artificial Intelligence 124
Countries citing papers authored by Binrong Wu
This map shows the geographic impact of Binrong Wu'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 Binrong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binrong Wu more than expected).
Fields of papers citing papers by Binrong Wu
This network shows the impact of papers produced by Binrong Wu. 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 Binrong Wu. The network helps show where Binrong Wu may publish in the future.
Co-authors
The 23 scholars most cited alongside Binrong Wu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Interpretable wind speed prediction with multivariate time series and temporal fusion transformers Hit paper breakdown → | 2022 | 173 |
| 2 | 2021 | 91 | |
| 3 | 2020 | 68 | |
| 4 | 2023 | 51 | |
| 5 | 2024 | 34 | |
| 6 | 2022 | 27 | |
| 7 | 2020 | 26 | |
| 8 | 2022 | 20 | |
| 9 | 2024 | 14 | |
| 10 | 2024 | 13 | |
| 11 | 2022 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2025 | 6 | |
| 14 | 2025 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Binrong Wu
Binrong Wu is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research, Economics and Econometrics, Artificial Intelligence and Aerospace Engineering, having authored 23 papers that have together received 564 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (14 papers), Stock Market Forecasting Methods (8 papers), Market Dynamics and Volatility (5 papers), Forecasting Techniques and Applications (4 papers), Electric Power System Optimization (3 papers), Wind Energy Research and Development (3 papers), Solar Radiation and Photovoltaics (2 papers) and Machine Fault Diagnosis Techniques (2 papers). The work is most often cited by research in Management Science and Operations Research (155 citations), Tourism, Leisure and Hospitality Management (10 citations), Economics and Econometrics (144 citations), Electrical and Electronic Engineering (262 citations) and Artificial Intelligence (124 citations). Binrong Wu has collaborated with scholars based in China and United States. Frequent co-authors include Lin Wang, Yu‐Rong Zeng, Sirui Wang, Sheng-Xiang Lv, Lu Peng, Qing Zhu, Rui Tao, Haoyu Fang, Rui‐Hua Xu and Huanling Hu. Their work appears in journals such as Energy, Applied Intelligence, Journal of Forecasting, Applied Soft Computing and Neural Processing Letters.
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.