Danxiang Wei
Impact in
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- Grey System Theory Applications
- Stock Market Forecasting Methods
Papers in
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- Energy Load and Power Forecasting 15
- Electric Power System Optimization 3
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- Grey System Theory Applications 7
- Stock Market Forecasting Methods 7
- Co-authors
- Jianzhou Wang (13 shared papers)Ziyuan Zhang (6 shared papers)Xinsong Niu (4 shared papers)Zhiwu Li (3 shared papers)Lifang Zhang (3 shared papers)Jianzhou Wang (2 shared papers)Jiyang Wang (1 shared paper)Zhenkun Liu (2 shared papers)
In The Last Decade
Danxiang Wei
18 papers receiving 442 citations
Peers
Comparison fields: 5 of 50
- Energy Engineering and Power Technology 30
- Management Science and Operations Research 116
- Electrical and Electronic Engineering 356
- Artificial Intelligence 160
- General Energy 4
Countries citing papers authored by Danxiang Wei
This map shows the geographic impact of Danxiang Wei'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 Danxiang Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danxiang Wei more than expected).
Fields of papers citing papers by Danxiang Wei
This network shows the impact of papers produced by Danxiang Wei. 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 Danxiang Wei. The network helps show where Danxiang Wei may publish in the future.
Co-authors
The 13 scholars most cited alongside Danxiang Wei, 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 | 2021 | 76 | |
| 2 | 2023 | 69 | |
| 3 | 2021 | 38 | |
| 4 | 2023 | 37 | |
| 5 | 2022 | 35 | |
| 6 | 2022 | 31 | |
| 7 | 2022 | 31 | |
| 8 | 2023 | 26 | |
| 9 | 2019 | 22 | |
| 10 | 2019 | 21 | |
| 11 | 2023 | 19 | |
| 12 | 2022 | 15 | |
| 13 | 2024 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2024 | 2 |
About Danxiang Wei
Danxiang Wei is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research, Artificial Intelligence, Economics and Econometrics and Environmental Engineering, having authored 18 papers that have together received 459 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (15 papers), Grey System Theory Applications (7 papers), Stock Market Forecasting Methods (7 papers), Solar Radiation and Photovoltaics (7 papers), Electric Power System Optimization (3 papers), Wind Energy Research and Development (3 papers), Market Dynamics and Volatility (3 papers) and Hydrological Forecasting Using AI (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (30 citations), Management Science and Operations Research (116 citations), Electrical and Electronic Engineering (356 citations), Artificial Intelligence (160 citations) and General Energy (4 citations). Danxiang Wei has collaborated with scholars based in Macao and China. Frequent co-authors include Jianzhou Wang, Ziyuan Zhang, Xinsong Niu, Zhiwu Li, Lifang Zhang, Jianzhou Wang, Jiyang Wang, Zhenkun Liu, Yin Li and Yin Li. Their work appears in journals such as Applied Soft Computing, Energies, Applied Energy, Engineering Applications of Artificial Intelligence and IEEE Transactions on Sustainable Energy.
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.