Kun Zhu
Impact in
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- Hybrid Renewable Energy Systems
- General Energy top 10%
Papers in
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- Integrated Energy Systems Optimization 7
- Electric Power System Optimization 2
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- Nonlinear Photonic Systems 2
- Nonlinear Waves and Solitons 2
- Co-authors
- Martin Greiner (7 shared papers)Gorm Bruun Andresen (6 shared papers)Marta Victoria (6 shared papers)Tom Brown (5 shared papers)Ekram Hossain (1 shared paper)Dong In Kim (1 shared paper)Dusit Niyato (1 shared paper)Ping Wang (1 shared paper)
In The Last Decade
Kun Zhu
15 papers receiving 588 citations
Peers
Comparison fields: 5 of 70
- Energy Engineering and Power Technology 192
- General Energy 11
- Renewable Energy, Sustainability and the Environment 144
- Electrical and Electronic Engineering 467
- Computer Networks and Communications 101
Countries citing papers authored by Kun Zhu
This map shows the geographic impact of Kun Zhu'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 Kun Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Zhu more than expected).
Fields of papers citing papers by Kun Zhu
This network shows the impact of papers produced by Kun Zhu. 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 Kun Zhu. The network helps show where Kun Zhu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Zhu, 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 | 2019 | 170 | |
| 2 | 2020 | 169 | |
| 3 | 2009 | 102 | |
| 4 | 2018 | 34 | |
| 5 | 2020 | 26 | |
| 6 | 2019 | 25 | |
| 7 | 2013 | 22 | |
| 8 | 2019 | 20 | |
| 9 | 2017 | 13 | |
| 10 | 2012 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2024 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2022 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 |
About Kun Zhu
Kun Zhu is a scholar working on Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Computer Networks and Communications, Energy Engineering and Power Technology and Control and Systems Engineering, having authored 18 papers that have together received 607 indexed citations. Recurring topics across this work include Integrated Energy Systems Optimization (7 papers), Hybrid Renewable Energy Systems (3 papers), Nonlinear Photonic Systems (2 papers), Renewable energy and sustainable power systems (2 papers), Carbon Dioxide Capture Technologies (2 papers), Mobile Ad Hoc Networks (2 papers), Electric Power System Optimization (2 papers) and Nonlinear Waves and Solitons (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (192 citations), General Energy (11 citations), Renewable Energy, Sustainability and the Environment (144 citations), Electrical and Electronic Engineering (467 citations) and Computer Networks and Communications (101 citations). Kun Zhu has collaborated with scholars based in Denmark, China and Germany. Frequent co-authors include Martin Greiner, Gorm Bruun Andresen, Marta Victoria, Tom Brown, Ekram Hossain, Dong In Kim, Dusit Niyato, Ping Wang, Lars Nordström and Claes Sandels. Their work appears in journals such as Applied Energy, Chemosphere, Energies, Nonlinear Dynamics and International Journal of Biological Macromolecules.
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.