Jun Sun
- Artificial Intelligence top 0.5%
- Metaheuristic Optimization Algorithms Research 50
- Evolutionary Algorithms and Applications 18
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- Video Surveillance and Tracking Methods 14
- Face and Expression Recognition 10
- Computational Theory and Mathematics top 0.5%
- Advanced Multi-Objective Optimization Algorithms 10
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- Advanced Algorithms and Applications 27
- Media Technology top 1%
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- Cooperative Communication and Network Coding 10
- Wireless Communication Networks Research 9
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputational Theory and Mathematics
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Jun Sun
169 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Artificial Intelligence 2.0k
- Computer Vision and Pattern Recognition 867
- Computational Theory and Mathematics 657
- Control and Systems Engineering 884
- Media Technology 293
Countries citing papers authored by Jun Sun
This map shows the geographic impact of Jun Sun'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 Jun Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sun more than expected).
Fields of papers citing papers by Jun Sun
This network shows the impact of papers produced by Jun Sun. 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 Jun Sun. The network helps show where Jun Sun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Sun, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 15 | |
| 12 | 2023 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2009 | 24 | |
| 18 | 2008 | 33 | |
| 19 | 2006 | 3 | |
| 20 | Particle swarm optimization with particles having quantum behaviorbreakdown → | 2004 | 929 |
About Jun Sun
Jun Sun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Computer Networks and Communications and Control and Systems Engineering, having authored 185 papers that have together received 4.9k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (50 papers), Advanced Algorithms and Applications (27 papers), Evolutionary Algorithms and Applications (18 papers), Video Surveillance and Tracking Methods (14 papers), Face and Expression Recognition (10 papers), Advanced Multi-Objective Optimization Algorithms (10 papers), Cooperative Communication and Network Coding (10 papers) and Wireless Communication Networks Research (9 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Computer Vision and Pattern Recognition (867 citations), Computational Theory and Mathematics (657 citations), Control and Systems Engineering (884 citations) and Media Technology (293 citations). Jun Sun has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Wenbo Xu, Feng Bin, Wei Fang, Xiao‐Jun Wu, Vasile Palade, Maolong Xi, Choi-Hong Lai, Cynthia Wang, Gengjian Xue and Li Song. Their work appears in journals such as Information Sciences, Applied Intelligence, Applied Sciences, IEEE Access and Automation in Construction.
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.