Bining Zhao
Impact in
- General Energy top 5%
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- Hybrid Renewable Energy Systems
Papers in
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- Integrated Energy Systems Optimization 7
- Electric Power System Optimization 5
- Smart Grid Energy Management 3
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- Smart Grid Security and Resilience 2
- Co-authors
- Antonio J. Conejo (5 shared papers)Ramteen Sioshansi (5 shared papers)Anatoly Zlotnik (1 shared paper)Aleksandr Rudkevich (1 shared paper)Rick S. Blum (2 shared papers)Shalinee Kishore (2 shared papers)Alberto J. Lamadrid (2 shared papers)Jihong Kang (3 shared papers)
- Journals
- IEEE Transactions on Power Systems (5 papers)Environmental Science & Technology (1 paper)Antioxidants (1 paper)Cell Communication and Signaling (1 paper)International Journal of Electrical Power & Energy Systems (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Bining Zhao
12 papers receiving 383 citations
Peers
Comparison fields: 5 of 55
- General Energy 30
- Energy Engineering and Power Technology 89
- Electrical and Electronic Engineering 320
- Control and Systems Engineering 88
- Safety, Risk, Reliability and Quality 21
Countries citing papers authored by Bining Zhao
This map shows the geographic impact of Bining Zhao'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 Bining Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bining Zhao more than expected).
Fields of papers citing papers by Bining Zhao
This network shows the impact of papers produced by Bining Zhao. 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 Bining Zhao. The network helps show where Bining Zhao may publish in the future.
Co-authors
The 13 scholars most cited alongside Bining Zhao, 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 | 2017 | 125 | |
| 2 | 2016 | 101 | |
| 3 | 2018 | 54 | |
| 4 | 2018 | 38 | |
| 5 | 2021 | 16 | |
| 6 | 2023 | 15 | |
| 7 | 2020 | 12 | |
| 8 | 2021 | 10 | |
| 9 | 2024 | 9 | |
| 10 | 2017 | 5 | |
| 11 | 2022 | 2 | |
| 12 | 2025 | 1 |
About Bining Zhao
Bining Zhao is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Economics and Econometrics, Reproductive Medicine and Renewable Energy, Sustainability and the Environment, having authored 12 papers that have together received 388 indexed citations. Recurring topics across this work include Integrated Energy Systems Optimization (7 papers), Electric Power System Optimization (5 papers), Smart Grid Energy Management (3 papers), Ovarian function and disorders (2 papers), Smart Grid Security and Resilience (2 papers), Capital Investment and Risk Analysis (1 paper), Energy and Environment Impacts (1 paper) and Energy Efficiency and Management (1 paper). The work is most often cited by research in General Energy (30 citations), Energy Engineering and Power Technology (89 citations), Electrical and Electronic Engineering (320 citations), Control and Systems Engineering (88 citations) and Safety, Risk, Reliability and Quality (21 citations). Bining Zhao has collaborated with scholars based in United States and China. Frequent co-authors include Antonio J. Conejo, Ramteen Sioshansi, Anatoly Zlotnik, Aleksandr Rudkevich, Rick S. Blum, Shalinee Kishore, Alberto J. Lamadrid, Jihong Kang, Mort Webster and Wenpei Bai. Their work appears in journals such as IEEE Transactions on Power Systems, Environmental Science & Technology, Antioxidants, Cell Communication and Signaling and International Journal of Electrical Power & Energy Systems.
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.