Yao Dong
Impact in
-
- Grey System Theory Applications
- Stock Market Forecasting Methods
- Artificial Intelligence top 10%
- Solar Radiation and Photovoltaics
Papers in
-
- Solar Radiation and Photovoltaics 6
-
- Energy Load and Power Forecasting 11
- Electric Power System Optimization 4
- Co-authors
- He Jiang (14 shared papers)Jianzhou Wang (4 shared papers)Xiao Ling (1 shared paper)Ling Xiao (1 shared paper)Jianzhou Wang (3 shared papers)Haiyan Lu (1 shared paper)He Jiang (1 shared paper)Zhenkun Liu (1 shared paper)
In The Last Decade
Yao Dong
26 papers receiving 349 citations
Peers
Comparison fields: 5 of 66
- Management Science and Operations Research 89
- Artificial Intelligence 131
- Electrical and Electronic Engineering 171
- Renewable Energy, Sustainability and the Environment 48
- Economics and Econometrics 66
Countries citing papers authored by Yao Dong
This map shows the geographic impact of Yao Dong'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 Yao Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Dong more than expected).
Fields of papers citing papers by Yao Dong
This network shows the impact of papers produced by Yao Dong. 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 Yao Dong. The network helps show where Yao Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao Dong, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 42 | |
| 2 | 2022 | 37 | |
| 3 | 2017 | 34 | |
| 4 | 2015 | 32 | |
| 5 | 2020 | 25 | |
| 6 | 2019 | 24 | |
| 7 | 2024 | 24 | |
| 8 | 2020 | 20 | |
| 9 | 2017 | 13 | |
| 10 | 2019 | 12 | |
| 11 | 2024 | 12 | |
| 12 | 2016 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2018 | 10 | |
| 15 | 2016 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2013 | 7 | |
| 18 | 2018 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2017 | 4 |
About Yao Dong
Yao Dong is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Management Science and Operations Research, Information Systems and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 354 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (11 papers), Grey System Theory Applications (6 papers), Solar Radiation and Photovoltaics (6 papers), Electric Power System Optimization (4 papers), Stock Market Forecasting Methods (3 papers), Web Data Mining and Analysis (3 papers), Gene expression and cancer classification (2 papers) and Remote Sensing and Land Use (2 papers). The work is most often cited by research in Management Science and Operations Research (89 citations), Artificial Intelligence (131 citations), Electrical and Electronic Engineering (171 citations), Renewable Energy, Sustainability and the Environment (48 citations) and Economics and Econometrics (66 citations). Yao Dong has collaborated with scholars based in China, Macao and Australia. Frequent co-authors include He Jiang, Jianzhou Wang, Xiao Ling, Ling Xiao, Jianzhou Wang, Haiyan Lu, He Jiang, Zhenkun Liu, Lifang Zhang and Ye Yang. Their work appears in journals such as Journal of Forecasting, Complexity, Knowledge-Based Systems, IEEE Access and Engineering Applications of Artificial Intelligence.
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.