Yao Dong
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- Grey System Theory Applications 13
- Forecasting Techniques and Applications 3
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- Energy Load and Power Forecasting 20
- Electric Power System Optimization 7
- Artificial Intelligence top 5%
- Solar Radiation and Photovoltaics 6
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- Market Dynamics and Volatility 3
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- Face and Expression Recognition 3
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- Advanced Multi-Objective Optimization Algorithms 2
- Cited by
- Management Science and Operations ResearchElectrical and Electronic EngineeringEnergy Engineering and Power Technology
- Journals
- Energy Conversion and Management (7 papers)Energy Policy (2 papers)Abstract and Applied Analysis (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yao Dong
31 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 79
- Management Science and Operations Research 425
- Electrical and Electronic Engineering 949
- Energy Engineering and Power Technology 50
- Artificial Intelligence 453
- Renewable Energy, Sustainability and the Environment 227
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 9 | |
| 4 | 2021 | 19 | |
| 5 | 2019 | 14 | |
| 6 | 2018 | 68 | |
| 7 | 2017 | 2 | |
| 8 | 2017 | 32 | |
| 9 | 2016 | 50 | |
| 10 | 2015 | 8 | |
| 11 | 2015 | 164 | |
| 12 | 2015 | 61 | |
| 13 | 2014 | 11 | |
| 14 | 2014 | 18 | |
| 15 | 2014 | 7 | |
| 16 | 2013 | 71 | |
| 17 | 2013 | 69 | |
| 18 | 2013 | 2 | |
| 19 | 2011 | 8 | |
| 20 | 2010 | 30 |
About Yao Dong
Yao Dong is a scholar working on Management Science and Operations Research, Artificial Intelligence and Electrical and Electronic Engineering, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (20 papers), Grey System Theory Applications (13 papers), Electric Power System Optimization (7 papers), Solar Radiation and Photovoltaics (6 papers), Market Dynamics and Volatility (3 papers), Face and Expression Recognition (3 papers), Forecasting Techniques and Applications (3 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). The work is most often cited by research in Management Science and Operations Research (425 citations), Electrical and Electronic Engineering (949 citations) and Energy Engineering and Power Technology (50 citations). Yao Dong has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianzhou Wang, He Jiang, Jie Wu, Xiao Ling, Ge Zhao, Yuanyuan Wang, Jianzhou Wang, Yunxuan Dong, Haiyan Lu and Xiaomeng Shi. Their work appears in journals such as Energy Conversion and Management, Energy Policy, Abstract and Applied Analysis, Energy and Information Sciences.
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.