Linjun He
Impact in
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- Advanced Multi-Objective Optimization Algorithms
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- Scheduling and Optimization Algorithms
- Vehicle Routing Optimization Methods
Papers in
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- Advanced Multi-Objective Optimization Algorithms 21
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- Analog and Mixed-Signal Circuit Design 5
- Co-authors
- Hisao Ishibuchi (20 shared papers)Ke Shang (11 shared papers)Lie Meng Pang (3 shared papers)Dipti Srinivasan (6 shared papers)Anupam Trivedi (3 shared papers)Handing Wang (1 shared paper)Chenchang Zhan (5 shared papers)Lidan Wang (3 shared papers)
In The Last Decade
Linjun He
27 papers receiving 567 citations
Linjun He's Hit Papers
Peers
Comparison fields: 5 of 52
- Computational Theory and Mathematics 330
- Industrial and Manufacturing Engineering 42
- Artificial Intelligence 52
- Biomedical Engineering 52
- Aerospace Engineering 29
Countries citing papers authored by Linjun He
This map shows the geographic impact of Linjun He'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 Linjun He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linjun He more than expected).
Fields of papers citing papers by Linjun He
This network shows the impact of papers produced by Linjun He. 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 Linjun He. The network helps show where Linjun He may publish in the future.
Co-authors
The 23 scholars most cited alongside Linjun He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization Hit paper breakdown → | 2020 | 278 |
| 2 | 2021 | 69 | |
| 3 | 2019 | 39 | |
| 4 | 2018 | 28 | |
| 5 | 2022 | 21 | |
| 6 | 2018 | 15 | |
| 7 | 2010 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2023 | 13 | |
| 10 | 2020 | 12 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 9 | |
| 13 | 2019 | 7 | |
| 14 | 2020 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2023 | 4 |
About Linjun He
Linjun He is a scholar working on Computational Theory and Mathematics, Biomedical Engineering, Management, Monitoring, Policy and Law, Law and Water Science and Technology, having authored 29 papers that have together received 577 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (21 papers), Analog and Mixed-Signal Circuit Design (5 papers), Environmental law and policy (1 paper), Rocket and propulsion systems research (1 paper), Climate Change Policy and Economics (1 paper), Water-Energy-Food Nexus Studies (1 paper), Heat Transfer and Optimization (1 paper) and Environmental Conservation and Management (1 paper). The work is most often cited by research in Computational Theory and Mathematics (330 citations), Industrial and Manufacturing Engineering (42 citations), Artificial Intelligence (52 citations), Biomedical Engineering (52 citations) and Aerospace Engineering (29 citations). Linjun He has collaborated with scholars based in China, Singapore and Mexico. Frequent co-authors include Hisao Ishibuchi, Ke Shang, Lie Meng Pang, Dipti Srinivasan, Anupam Trivedi, Handing Wang, Chenchang Zhan, Lidan Wang, C.I. Huang and Qasim Zeeshan. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Swarm and Evolutionary Computation, Applied Soft Computing, Journal of Cleaner Production and IEEE Access.
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.