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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- Smart Grid Energy Management 24
- Electric Power System Optimization 15
- Optimal Power Flow Distribution 13
- Integrated Energy Systems Optimization 11
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- Microgrid Control and Optimization 9
- Co-authors
- Peter B. Luh (42 shared papers)Marialaura Di Somma (8 shared papers)Giorgio Graditi (8 shared papers)Mikhail A. Bragin (29 shared papers)Luigi Mongibello (6 shared papers)Nicola Bianco (6 shared papers)Vincenzo Naso (6 shared papers)Peng Zhang (4 shared papers)
- 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)Applied Thermal Engineering (2 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Bing Yan
51 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 70
- Energy Engineering and Power Technology 189
- Control and Systems Engineering 324
- Industrial and Manufacturing Engineering 130
- Building and Construction 171
- Electrical and Electronic Engineering 718
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-authors
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
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 175 | |
| 2 | 2017 | 134 | |
| 3 | 2017 | 75 | |
| 4 | 2016 | 68 | |
| 5 | 2015 | 56 | |
| 6 | 2020 | 44 | |
| 7 | 2018 | 42 | |
| 8 | 2020 | 41 | |
| 9 | 2022 | 38 | |
| 10 | 2019 | 33 | |
| 11 | 2016 | 24 | |
| 12 | 2021 | 21 | |
| 13 | 2013 | 20 | |
| 14 | 2020 | 20 | |
| 15 | 2020 | 20 | |
| 16 | 2017 | 19 | |
| 17 | 2018 | 18 | |
| 18 | 2013 | 18 | |
| 19 | 2021 | 17 | |
| 20 | 2020 | 16 |
About Bing Yan
Bing Yan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Industrial and Manufacturing Engineering, Energy Engineering and Power Technology and Computer Networks and Communications, 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), Advanced Manufacturing and Logistics Optimization (11 papers), Integrated Energy Systems 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 (189 citations), Control and Systems Engineering (324 citations), Industrial and Manufacturing Engineering (130 citations), Building and Construction (171 citations) and Electrical and Electronic Engineering (718 citations). Bing Yan has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Peter B. Luh, Marialaura Di Somma, Giorgio Graditi, Mikhail A. Bragin, Luigi Mongibello, Nicola Bianco, Vincenzo Naso, 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 Applied Thermal Engineering.
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.