Mengjun Ming
Impact in
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- Hybrid Renewable Energy Systems
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Electric Vehicles and Infrastructure 3
- Integrated Energy Systems Optimization 3
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- Hybrid Renewable Energy Systems 6
- Co-authors
- Rui Wang (12 shared papers)Tao Zhang (10 shared papers)Dipti Srinivasan (1 shared paper)Anupam Trivedi (1 shared paper)Yabing Zha (3 shared papers)Guozheng Li (2 shared papers)Hisao Ishibuchi (1 shared paper)Ling Wang (1 shared paper)
- Journals
- Information Sciences (2 papers)Energies (2 papers)IEEE Transactions on Evolutionary Computation (2 papers)Complex & Intelligent Systems (1 paper)Solar Energy (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Mengjun Ming
14 papers receiving 598 citations
Mengjun Ming's Hit Papers
Peers
Comparison fields: 5 of 49
- Energy Engineering and Power Technology 170
- Computational Theory and Mathematics 255
- Pollution 101
- Artificial Intelligence 250
- Control and Systems Engineering 146
Countries citing papers authored by Mengjun Ming
This map shows the geographic impact of Mengjun Ming'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 Mengjun Ming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengjun Ming more than expected).
Fields of papers citing papers by Mengjun Ming
This network shows the impact of papers produced by Mengjun Ming. 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 Mengjun Ming. The network helps show where Mengjun Ming may publish in the future.
Co-authors
The 23 scholars most cited alongside Mengjun Ming, 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 | A Dual-Population-Based Evolutionary Algorithm for Constrained Multiobjective Optimization Hit paper breakdown → | 2021 | 174 |
| 2 | 2017 | 82 | |
| 3 | 2017 | 77 | |
| 4 | 2021 | 65 | |
| 5 | 2017 | 39 | |
| 6 | 2020 | 36 | |
| 7 | 2019 | 31 | |
| 8 | 2018 | 30 | |
| 9 | 2019 | 27 | |
| 10 | 2021 | 25 | |
| 11 | 2019 | 9 | |
| 12 | 2017 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2021 | 1 |
About Mengjun Ming
Mengjun Ming is a scholar working on Electrical and Electronic Engineering, Energy Engineering and Power Technology, Computational Theory and Mathematics, Pollution and Artificial Intelligence, having authored 14 papers that have together received 607 indexed citations. Recurring topics across this work include Hybrid Renewable Energy Systems (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Electric Vehicles and Infrastructure (3 papers), Energy and Environment Impacts (3 papers), Evolutionary Algorithms and Applications (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Integrated Energy Systems Optimization (3 papers) and Microgrid Control and Optimization (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (170 citations), Computational Theory and Mathematics (255 citations), Pollution (101 citations), Artificial Intelligence (250 citations) and Control and Systems Engineering (146 citations). Mengjun Ming has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Rui Wang, Tao Zhang, Dipti Srinivasan, Anupam Trivedi, Yabing Zha, Guozheng Li, Hisao Ishibuchi, Ling Wang, Guohua Wu and Wenhua Li. Their work appears in journals such as Information Sciences, Energies, IEEE Transactions on Evolutionary Computation, Complex & Intelligent Systems and Solar 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.