Jinye Zhao
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- Electric Power System Optimization 23
- Smart Grid Energy Management 15
- Optimal Power Flow Distribution 15
- Energy Load and Power Forecasting 8
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- Power System Reliability and Maintenance 5
- Automotive Engineering top 5%
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- Topic Modeling 3
- Advanced Graph Neural Networks 3
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- Risk and Portfolio Optimization 3
- Co-authors
- Tongxin ZhengEugene LitvinovDimitris BertsimasXu Andy SunDaniel S. KirschenBolun XuJong‐Shi PangBenjamin F. Hobbs
- Cited by
- Electrical and Electronic EngineeringEnergy Engineering and Power TechnologySafety, Risk, Reliability and Quality
- Journals
- IEEE Transactions on Power Systems (9 papers)IEEE Transactions on Smart Grid (2 papers)International Journal of Machine Learning and Cybernetics (1 paper)
- Partner nations
- United StatesChinaMexico
In The Last Decade
Jinye Zhao
32 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Electrical and Electronic Engineering 1.9k
- Energy Engineering and Power Technology 98
- Safety, Risk, Reliability and Quality 283
- Control and Systems Engineering 566
- Automotive Engineering 256
Countries citing papers authored by Jinye Zhao
This map shows the geographic impact of Jinye 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 Jinye Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinye Zhao more than expected).
Fields of papers citing papers by Jinye Zhao
This network shows the impact of papers produced by Jinye 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 Jinye Zhao. The network helps show where Jinye Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jinye 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 | 2024 | 3 | |
| 2 | 2023 | 19 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 5 | |
| 7 | 2019 | 33 | |
| 8 | 2019 | 28 | |
| 9 | 2018 | 18 | |
| 10 | 2017 | 4 | |
| 11 | 2017 | 269 | |
| 12 | 2016 | 29 | |
| 13 | 2016 | 8 | |
| 14 | 2015 | 24 | |
| 15 | 2015 | 2 | |
| 16 | 2014 | 5 | |
| 17 | 2013 | 48 | |
| 18 | 2013 | 5 | |
| 19 | 2012 | 4 | |
| 20 | Adaptive Robust Optimization for the Security Constrained Unit Commitment Problembreakdown → | 2012 | 1240 |
About Jinye Zhao
Jinye Zhao is a scholar working on Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering and Management Science and Operations Research, having authored 35 papers that have together received 2.3k indexed citations. Recurring topics across this work include Electric Power System Optimization (23 papers), Smart Grid Energy Management (15 papers), Optimal Power Flow Distribution (15 papers), Energy Load and Power Forecasting (8 papers), Power System Reliability and Maintenance (5 papers), Topic Modeling (3 papers), Advanced Graph Neural Networks (3 papers) and Risk and Portfolio Optimization (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.9k citations), Energy Engineering and Power Technology (98 citations) and Safety, Risk, Reliability and Quality (283 citations). Jinye Zhao has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Tongxin Zheng, Eugene Litvinov, Dimitris Bertsimas, Xu Andy Sun, Daniel S. Kirschen, Bolun Xu, Jong‐Shi Pang, Benjamin F. Hobbs, Feng Zhao and Peter B. Luh. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, International Journal of Machine Learning and Cybernetics, Energies and Transportation Research Part B Methodological.
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.