Bing Yan
Impact in
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- Hybrid Renewable Energy Systems
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- Microgrid Control and Optimization
Papers in
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- Hybrid Renewable Energy Systems 5
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- Scheduling and Optimization Algorithms 14
- Advanced Manufacturing and Logistics Optimization 11
- Co-authors
- Peter B. LuhGiorgio GraditiMarialaura Di SommaMikhail A. BraginNicola BiancoVincenzo NasoLuigi MongibelloPeng Zhang
- Journals
- IEEE Transactions on Automation Science and Engineering (7 papers)IEEE Transactions on Power Systems (5 papers)IEEE Robotics and Automation Letters (4 papers)Electric Power Systems Research (3 papers)Energies (2 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Bing Yan
51 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 70
- Energy Engineering and Power Technology 188
- Control and Systems Engineering 319
- Industrial and Manufacturing Engineering 129
- Building and Construction 168
- Electrical and Electronic Engineering 714
Countries citing papers authored by Bing Yan
This map shows the geographic impact of Bing Yan'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 Bing Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Yan more than expected).
Fields of papers citing papers by Bing Yan
This network shows the impact of papers produced by Bing Yan. 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 Bing Yan. The network helps show where Bing Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bing Yan, 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 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 8 | |
| 13 | 2020 | 42 | |
| 14 | 2019 | 33 | |
| 15 | 2018 | 18 | |
| 16 | 2018 | 5 | |
| 17 | 2017 | 4 | |
| 18 | 2017 | 132 | |
| 19 | 2016 | 24 | |
| 20 | 2013 | 17 |
About Bing Yan
Bing Yan is a scholar working on Energy Engineering and Power Technology, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, Control and Systems Engineering and Transportation, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Smart Grid Energy Management (24 papers), Electric Power System Optimization (15 papers), Scheduling and Optimization Algorithms (14 papers), Optimal Power Flow Distribution (13 papers), Integrated Energy Systems Optimization (11 papers), Advanced Manufacturing and Logistics Optimization (11 papers), Microgrid Control and Optimization (9 papers) and Hybrid Renewable Energy Systems (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (188 citations), Control and Systems Engineering (319 citations), Industrial and Manufacturing Engineering (129 citations), Building and Construction (168 citations) and Electrical and Electronic Engineering (714 citations). Bing Yan has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Peter B. Luh, Giorgio Graditi, Marialaura Di Somma, Mikhail A. Bragin, Nicola Bianco, Vincenzo Naso, Luigi Mongibello, Peng Zhang, Qing‐Shan Jia and Mohamed Zohdy. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Power Systems, IEEE Robotics and Automation Letters, Electric Power Systems Research and Energies.
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.