Yeming Dai
Impact in
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- Grey System Theory Applications
Papers in
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- Grey System Theory Applications 7
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- Smart Grid Energy Management 11
- Energy Load and Power Forecasting 9
- Electric Power System Optimization 5
- Electric Vehicles and Infrastructure 5
- Co-authors
- Pei Zhao (2 shared papers)Mingming Leng (10 shared papers)Xinyu Yang (4 shared papers)Hongwei Gao (5 shared papers)Yan Gao (4 shared papers)Hongbo Zhu (3 shared papers)Qiong Zhou (1 shared paper)Yanxin Wang (1 shared paper)
- Journals
- Applied Soft Computing (4 papers)Journal of Intelligent & Fuzzy Systems (2 papers)Computers & Industrial Engineering (2 papers)Renewable Energy (2 papers)Applied Energy (2 papers)
- Partner nations
- China
In The Last Decade
Yeming Dai
24 papers receiving 678 citations
Peers
Comparison fields: 5 of 73
- Energy Engineering and Power Technology 38
- Management Science and Operations Research 108
- Electrical and Electronic Engineering 487
- Renewable Energy, Sustainability and the Environment 95
- Artificial Intelligence 171
Countries citing papers authored by Yeming Dai
This map shows the geographic impact of Yeming Dai'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 Yeming Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeming Dai more than expected).
Fields of papers citing papers by Yeming Dai
This network shows the impact of papers produced by Yeming Dai. 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 Yeming Dai. The network helps show where Yeming Dai may publish in the future.
Co-authors
The 22 scholars most cited alongside Yeming Dai, 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 | 2020 | 158 | |
| 2 | 2022 | 99 | |
| 3 | 2022 | 77 | |
| 4 | 2017 | 62 | |
| 5 | 2021 | 50 | |
| 6 | 2024 | 47 | |
| 7 | 2024 | 29 | |
| 8 | 2023 | 23 | |
| 9 | 2022 | 18 | |
| 10 | 2021 | 16 | |
| 11 | 2025 | 16 | |
| 12 | 2019 | 15 | |
| 13 | 2018 | 15 | |
| 14 | 2025 | 13 | |
| 15 | 2019 | 12 | |
| 16 | 2017 | 10 | |
| 17 | 2014 | 9 | |
| 18 | 2015 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2017 | 5 |
About Yeming Dai
Yeming Dai is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition and Renewable Energy, Sustainability and the Environment, having authored 26 papers that have together received 695 indexed citations. Recurring topics across this work include Smart Grid Energy Management (11 papers), Energy Load and Power Forecasting (9 papers), Grey System Theory Applications (7 papers), Solar Radiation and Photovoltaics (5 papers), Electric Power System Optimization (5 papers), Electric Vehicles and Infrastructure (5 papers), Image and Signal Denoising Methods (4 papers) and Smart Grid Security and Resilience (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (38 citations), Management Science and Operations Research (108 citations), Electrical and Electronic Engineering (487 citations), Renewable Energy, Sustainability and the Environment (95 citations) and Artificial Intelligence (171 citations). Yeming Dai has collaborated with scholars based in China. Frequent co-authors include Pei Zhao, Mingming Leng, Xinyu Yang, Hongwei Gao, Yan Gao, Hongbo Zhu, Qiong Zhou, Yanxin Wang, Weijie Yu and Qiong Zhou. Their work appears in journals such as Applied Soft Computing, Journal of Intelligent & Fuzzy Systems, Computers & Industrial Engineering, Renewable Energy and Applied 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.