Ye Zhao
- Renewable Energy, Sustainability and the Environment top 2%
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Automotive Engineering top 5%
- Co-authors
- Brad LehmanJerry MosesianJean-François de PalmaRobert LyonsRoy BallLing YangG. SpagnuoloGiovanni Petrone
- Topics
- Photovoltaic System Optimization Techniques (16 papers)solar cell performance optimization (8 papers)Advanced Battery Technologies Research (7 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentArtificial IntelligenceAutomotive Engineering
- Journals
- IEEE Transactions on Industrial ElectronicsIEEE Transactions on Power ElectronicsRenewable Energy
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Ye Zhao
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 66
- Renewable Energy, Sustainability and the Environment 864
- Electrical and Electronic Engineering 707
- Artificial Intelligence 434
- Control and Systems Engineering 269
- Automotive Engineering 150
Countries citing papers authored by Ye Zhao
This map shows the geographic impact of Ye 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 Ye Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Zhao more than expected).
Fields of papers citing papers by Ye Zhao
This network shows the impact of papers produced by Ye 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 Ye Zhao. The network helps show where Ye Zhao may publish in the future.
Co-authorship network of co-authors of Ye Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Ye Zhao. A scholar is included among the top collaborators of Ye 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 Ye Zhao. Ye Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 14 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 75 | |
| 7 | 2 | |
| 8 | 278 | |
| 9 | 38 | |
| 10 | 143 | |
| 11 | 18 | |
| 12 | 229 | |
| 13 | 217 | |
| 14 | 36 | |
| 15 | 39 | |
| 16 | 10 | |
| 17 | 14 | |
| 18 | The study on evaluating indicator system of the pilot project of smart grid | 5 |
| 19 | 7 | |
| 20 | 2 |
About Ye Zhao
Ye Zhao is a scholar working on Renewable Energy, Sustainability and the Environment, Automotive Engineering and Energy Engineering and Power Technology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (16 papers), solar cell performance optimization (8 papers) and Advanced Battery Technologies Research (7 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (864 citations), Artificial Intelligence (434 citations) and Automotive Engineering (150 citations). Ye Zhao has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Brad Lehman, Jerry Mosesian, Jean-François de Palma, Robert Lyons, Roy Ball, Ling Yang, G. Spagnuolo, Giovanni Petrone, Carlos Andrés Ramos‐Paja and Man-On Pun. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and Renewable Energy.
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.