Jinye Zhao

3.1k total citations · 1 hit paper
35 papers, 2.3k citations indexed

About

Jinye Zhao is a scholar working on Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality and Artificial Intelligence. According to data from OpenAlex, Jinye Zhao has authored 35 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 5 papers in Safety, Risk, Reliability and Quality and 5 papers in Artificial Intelligence. Recurrent topics in Jinye Zhao's work include Electric Power System Optimization (23 papers), Smart Grid Energy Management (15 papers) and Optimal Power Flow Distribution (15 papers). Jinye Zhao is often cited by papers focused on Electric Power System Optimization (23 papers), Smart Grid Energy Management (15 papers) and Optimal Power Flow Distribution (15 papers). Jinye Zhao collaborates with scholars based in United States, China and Mexico. Jinye Zhao's 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 and has published in prestigious journals such as IEEE Transactions on Power Systems, Operations Research and IEEE Transactions on Smart Grid.

In The Last Decade

Jinye Zhao

32 papers receiving 2.2k citations

Hit Papers

Adaptive Robust Optimization for the Security Constrained... 2012 2026 2016 2021 2012 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jinye Zhao United States 13 1.9k 566 283 256 188 35 2.3k
Holger Heitsch Germany 13 1.2k 0.7× 579 1.0× 188 0.7× 106 0.4× 535 2.8× 24 2.1k
Carlos Ruiz Spain 25 2.6k 1.3× 933 1.6× 176 0.6× 126 0.5× 239 1.3× 64 3.2k
Antonio Padilha‐Feltrin Brazil 27 2.4k 1.3× 1.4k 2.4× 250 0.9× 182 0.7× 50 0.3× 110 2.6k
Vahid Vahidinasab Iran 34 2.7k 1.4× 1.2k 2.1× 213 0.8× 392 1.5× 95 0.5× 116 3.0k
David Pozo Russia 24 2.0k 1.0× 537 0.9× 235 0.8× 162 0.6× 129 0.7× 86 2.2k
J. David Fuller Canada 19 1.5k 0.8× 432 0.8× 149 0.5× 79 0.3× 201 1.1× 68 2.1k
Miguel Carrión Spain 21 2.9k 1.5× 635 1.1× 464 1.6× 181 0.7× 201 1.1× 56 3.2k
Jorge Valenzuela United States 23 1.2k 0.6× 395 0.7× 238 0.8× 94 0.4× 79 0.4× 58 1.5k
E.N. Dialynas Greece 21 1.1k 0.6× 441 0.8× 559 2.0× 69 0.3× 104 0.6× 77 1.7k

Countries citing papers authored by Jinye Zhao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jinye Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Jinye Zhao. A scholar is included among the top collaborators of Jinye Zhao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinye Zhao. Jinye Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gong, Jibing, et al.. (2024). Cross-domain recommendation via adaptive bi-directional transfer graph neural networks. Knowledge and Information Systems. 67(1). 579–602. 3 indexed citations
2.
Gong, Jibing, et al.. (2023). Personalized recommendation via inductive spatiotemporal graph neural network. Pattern Recognition. 145. 109884–109884. 19 indexed citations
3.
Zhao, Feng, et al.. (2023). On the Primal UC Formulation Dependence of Convex Hull Pricing. 1(4). 227–236. 2 indexed citations
4.
Yan, Bing, Peter B. Luh, Mikhail A. Bragin, et al.. (2023). Discussion on Incentive Compatibility of Multi-Period Temporal Locational Marginal Pricing. Energies. 16(13). 4977–4977.
5.
Hong, Mingguo, et al.. (2023). Energy Security Forecast in ISO New England. 1–5.
6.
Gong, Jibing, Jinye Zhao, Chenlong Wang, et al.. (2022). MORE: Toward Improving Author Name Disambiguation in Academic Knowledge Graphs. International Journal of Machine Learning and Cybernetics. 15(1). 37–50. 5 indexed citations
7.
Yan, Bing, Peter B. Luh, Tongxin Zheng, et al.. (2019). A Systematic Formulation Tightening Approach for Unit Commitment Problems. IEEE Transactions on Power Systems. 35(1). 782–794. 33 indexed citations
8.
Zhao, Jinye, Tongxin Zheng, & Eugene Litvinov. (2019). A Multi-Period Market Design for Markets With Intertemporal Constraints. IEEE Transactions on Power Systems. 35(4). 3015–3025. 28 indexed citations
9.
Xu, Bolun, Jinye Zhao, Tongxin Zheng, Eugene Litvinov, & Daniel S. Kirschen. (2018). Factoring the Cycle Aging Cost of Batteries Participating in Electricity Markets. 1–1. 18 indexed citations
10.
Yan, Bing, Peter B. Luh, Eugene Litvinov, et al.. (2017). Effective modeling and resolution of generation-dependent ramp rates for unit commitment. 1–5. 4 indexed citations
11.
Xu, Bolun, Jinye Zhao, Tongxin Zheng, Eugene Litvinov, & Daniel S. Kirschen. (2017). Factoring the Cycle Aging Cost of Batteries Participating in Electricity Markets. IEEE Transactions on Power Systems. 33(2). 2248–2259. 269 indexed citations
12.
Yu, Yaowen, Peter B. Luh, Eugene Litvinov, et al.. (2016). Transmission Contingency-Constrained Unit Commitment with High Penetration of Renewables via Interval Optimization. IEEE Transactions on Power Systems. 1–1. 29 indexed citations
14.
Yu, Yaowen, Peter B. Luh, Eugene Litvinov, et al.. (2015). Grid Integration of Distributed Wind Generation: Hybrid Markovian and Interval Unit Commitment. IEEE Transactions on Smart Grid. 6(6). 3061–3072. 24 indexed citations
16.
Bertsimas, Dimitris, Eugene Litvinov, Xu Andy Sun, Jinye Zhao, & Tongxin Zheng. (2014). Closure to the Discussion of “Adaptive Robust Optimization for the Security Constrained Unit Commitment Problem”. IEEE Transactions on Power Systems. 29(2). 996–997. 5 indexed citations
17.
Luh, Peter B., Yaowen Yu, Bingjie Zhang, et al.. (2013). Grid Integration of Intermittent Wind Generation: A Markovian Approach. IEEE Transactions on Smart Grid. 5(2). 732–741. 48 indexed citations
18.
Yu, Yaowen, Peter B. Luh, Eugene Litvinov, et al.. (2013). Markov-based stochastic unit commitment considering wind power forecasts. 1–5. 5 indexed citations
19.
Yu, Yaowen, Peter B. Luh, Eugene Litvinov, et al.. (2012). Unit commitment with intermittent wind generation via Markovian analysis with transmission capacity constraints. 14. 1–8. 4 indexed citations
20.
Bertsimas, Dimitris, Eugene Litvinov, Xu Andy Sun, Jinye Zhao, & Tongxin Zheng. (2012). Adaptive Robust Optimization for the Security Constrained Unit Commitment Problem. IEEE Transactions on Power Systems. 28(1). 52–63. 1240 indexed citations breakdown →

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.

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