Mingyu Dong
Impact in
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- Hybrid Renewable Energy Systems
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- Industrial Vision Systems and Defect Detection
Papers in
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- Smart Grid Energy Management 7
- Integrated Energy Systems Optimization 3
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- Machine Learning and ELM 5
- Neural Networks and Applications 4
- Speech Recognition and Synthesis 3
- Co-authors
- Fengkai Gao (2 shared papers)Min Liu (8 shared papers)Yunqiang Duan (5 shared papers)Ke Chen (1 shared paper)Tingting Cai (1 shared paper)Chao Yang (1 shared paper)Shiming Tian (3 shared papers)LI Guo-hu (1 shared paper)
- Journals
- Applied Sciences (4 papers)Neurocomputing (2 papers)Journal of Coastal Research (2 papers)Journal of Process Control (2 papers)Journal of the Audio Engineering Society (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Mingyu Dong
37 papers receiving 597 citations
Peers
Comparison fields: 5 of 104
- Energy Engineering and Power Technology 38
- Industrial and Manufacturing Engineering 73
- General Energy 6
- Renewable Energy, Sustainability and the Environment 62
- Control and Systems Engineering 81
Countries citing papers authored by Mingyu Dong
This map shows the geographic impact of Mingyu 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 Mingyu Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyu Dong more than expected).
Fields of papers citing papers by Mingyu Dong
This network shows the impact of papers produced by Mingyu 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 Mingyu Dong. The network helps show where Mingyu Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingyu 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 93 | |
| 2 | 2020 | 84 | |
| 3 | 2020 | 69 | |
| 4 | 2019 | 44 | |
| 5 | 2010 | 32 | |
| 6 | 2020 | 29 | |
| 7 | 2022 | 27 | |
| 8 | 2020 | 24 | |
| 9 | 2014 | 17 | |
| 10 | 2014 | 14 | |
| 11 | 2024 | 13 | |
| 12 | 2018 | 13 | |
| 13 | 2024 | 12 | |
| 14 | 2019 | 12 | |
| 15 | 2016 | 11 | |
| 16 | 2019 | 11 | |
| 17 | 2019 | 10 | |
| 18 | 2015 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2023 | 9 |
About Mingyu Dong
Mingyu Dong is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 42 papers that have together received 606 indexed citations. Recurring topics across this work include Smart Grid Energy Management (7 papers), Microgrid Control and Optimization (6 papers), Industrial Vision Systems and Defect Detection (5 papers), Machine Learning and ELM (5 papers), Neural Networks and Applications (4 papers), Power Systems and Renewable Energy (3 papers), Speech Recognition and Synthesis (3 papers) and Integrated Energy Systems Optimization (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (38 citations), Industrial and Manufacturing Engineering (73 citations), General Energy (6 citations), Renewable Energy, Sustainability and the Environment (62 citations) and Control and Systems Engineering (81 citations). Mingyu Dong has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Fengkai Gao, Min Liu, Yunqiang Duan, Ke Chen, Tingting Cai, Chao Yang, Shiming Tian, LI Guo-hu, Ling Wang and Cheng Wu. Their work appears in journals such as Applied Sciences, Neurocomputing, Journal of Coastal Research, Journal of Process Control and Journal of the Audio Engineering Society.
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.