Jun Cheng
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Human-Computer Interaction top 1%
Papers in
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- Human Pose and Action Recognition 52
- Video Surveillance and Tracking Methods 39
- Advanced Image and Video Retrieval Techniques 35
- Advanced Vision and Imaging 22
- Multimodal Machine Learning Applications 20
- Co-authors
- Dapeng Tao (41 shared papers)Xiping Hu (20 shared papers)Bin Hu (13 shared papers)Dacheng Tao (19 shared papers)Zhaolong Ning (7 shared papers)Weifeng Liu (10 shared papers)Lei Wang (17 shared papers)Qieshi Zhang (36 shared papers)
In The Last Decade
Jun Cheng
299 papers receiving 5.5k citations
Jun Cheng's Hit Papers
Peers
Comparison fields: 5 of 173
- Computer Vision and Pattern Recognition 2.9k
- Human-Computer Interaction 350
- Media Technology 467
- Computer Networks and Communications 1.1k
- Artificial Intelligence 1.5k
Countries citing papers authored by Jun Cheng
This map shows the geographic impact of Jun Cheng'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 Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Cheng more than expected).
Fields of papers citing papers by Jun Cheng
This network shows the impact of papers produced by Jun Cheng. 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 Cheng. The network helps show where Jun Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Cheng, 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 323 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks Hit paper breakdown → | 2017 | 462 |
| 2 | 2017 | 250 | |
| 3 | 2013 | 177 | |
| 4 | 2021 | 160 | |
| 5 | 2020 | 136 | |
| 6 | 2018 | 133 | |
| 7 | 2020 | 121 | |
| 8 | 2012 | 108 | |
| 9 | 2019 | 103 | |
| 10 | 2014 | 103 | |
| 11 | 2019 | 100 | |
| 12 | 2018 | 99 | |
| 13 | 2017 | 96 | |
| 14 | 2015 | 90 | |
| 15 | 2018 | 88 | |
| 16 | 2017 | 87 | |
| 17 | 2020 | 87 | |
| 18 | 2018 | 86 | |
| 19 | 2017 | 85 | |
| 20 | 2018 | 79 |
About Jun Cheng
Jun Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Electrical and Electronic Engineering and Aerospace Engineering, having authored 323 papers that have together received 5.6k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (52 papers), Video Surveillance and Tracking Methods (39 papers), Advanced Image and Video Retrieval Techniques (35 papers), Gait Recognition and Analysis (32 papers), Hand Gesture Recognition Systems (27 papers), Advanced Vision and Imaging (22 papers), Robotics and Sensor-Based Localization (22 papers) and Multimodal Machine Learning Applications (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Human-Computer Interaction (350 citations), Media Technology (467 citations), Computer Networks and Communications (1.1k citations) and Artificial Intelligence (1.5k citations). Jun Cheng has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Dapeng Tao, Xiping Hu, Bin Hu, Dacheng Tao, Zhaolong Ning, Weifeng Liu, Lei Wang, Qieshi Zhang, Edith C.‐H. Ngai and MengChu Zhou. Their work appears in journals such as Neurocomputing, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition 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.