Junkun Peng
Impact in
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- Image and Video Quality Assessment
- Image Enhancement Techniques
- Visual Attention and Saliency Detection
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- Video Coding and Compression Technologies
Papers in
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- Image and Video Quality Assessment 3
- Video Surveillance and Tracking Methods 3
- Advanced Neural Network Applications 1
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- Caching and Content Delivery 4
- IoT and Edge/Fog Computing 2
- Opportunistic and Delay-Tolerant Networks 2
- Co-authors
- Qing Li (9 shared papers)Yong Jiang (5 shared papers)Zhenhui Yuan (3 shared papers)Gabriel‐Miro Muntean (2 shared papers)Longhao Zou (1 shared paper)Chuang Hu (3 shared papers)Meng Chen (1 shared paper)Dan Zhao (3 shared papers)
- Journals
- IEEE Transactions on Mobile Computing (2 papers)IEEE Journal on Selected Areas in Communications (1 paper)IEEE Transactions on Broadcasting (1 paper)IEEE Transactions on Computers (1 paper)IEEE Robotics and Automation Letters (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Junkun Peng
9 papers receiving 108 citations
Peers
Comparison fields: 5 of 23
- Computer Vision and Pattern Recognition 57
- Signal Processing 25
- Computer Networks and Communications 47
- Aerospace Engineering 13
- Media Technology 4
Countries citing papers authored by Junkun Peng
This map shows the geographic impact of Junkun Peng'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 Junkun Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junkun Peng more than expected).
Fields of papers citing papers by Junkun Peng
This network shows the impact of papers produced by Junkun Peng. 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 Junkun Peng. The network helps show where Junkun Peng may publish in the future.
Co-authors
The 17 scholars most cited alongside Junkun Peng, 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 | 2022 | 37 | |
| 2 | 2022 | 29 | |
| 3 | 2022 | 18 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 5 | |
| 6 | 2024 | 5 | |
| 7 | 2007 | 4 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2024 | 0 |
About Junkun Peng
Junkun Peng is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Aerospace Engineering, Electrical and Electronic Engineering and Urban Studies, having authored 11 papers that have together received 108 indexed citations. Recurring topics across this work include Caching and Content Delivery (4 papers), Image and Video Quality Assessment (3 papers), Video Surveillance and Tracking Methods (3 papers), UAV Applications and Optimization (3 papers), Robotics and Sensor-Based Localization (3 papers), IoT and Edge/Fog Computing (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (57 citations), Signal Processing (25 citations), Computer Networks and Communications (47 citations), Aerospace Engineering (13 citations) and Media Technology (4 citations). Junkun Peng has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Qing Li, Yong Jiang, Zhenhui Yuan, Gabriel‐Miro Muntean, Longhao Zou, Chuang Hu, Meng Chen, Dan Zhao, Hong-Wei Huang and Ke‐Horng Chen. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Broadcasting, IEEE Transactions on Computers and IEEE Robotics and Automation Letters.
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.