Jun Xiao
Impact in
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- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Advanced Image and Video Retrieval Techniques
- Image Enhancement Techniques
- Image and Signal Denoising Methods
- Multimodal Machine Learning Applications
- Media Technology top 5%
Papers in
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- Advanced Vision and Imaging 13
- Advanced Image Processing Techniques 12
- Advanced Image and Video Retrieval Techniques 7
- Image Enhancement Techniques 6
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- Image Processing Techniques and Applications 6
- Co-authors
- Kin‐Man Lam (24 shared papers)Junsong Fan (1 shared paper)Zhaoxiang Zhang (1 shared paper)Chunfeng Song (1 shared paper)Tieniu Tan (1 shared paper)Rui Zhao (8 shared papers)Tianshan Liu (7 shared papers)Cong Zhang (10 shared papers)
In The Last Decade
Jun Xiao
67 papers receiving 661 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 460
- Media Technology 105
- Computer Graphics and Computer-Aided Design 20
- Safety Research 45
- Artificial Intelligence 143
Countries citing papers authored by Jun Xiao
This map shows the geographic impact of Jun Xiao'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 Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xiao more than expected).
Fields of papers citing papers by Jun Xiao
This network shows the impact of papers produced by Jun Xiao. 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 Xiao. The network helps show where Jun Xiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Xiao, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 139 | |
| 2 | 2022 | 41 | |
| 3 | 2021 | 40 | |
| 4 | 2023 | 32 | |
| 5 | 2009 | 31 | |
| 6 | 2015 | 29 | |
| 7 | 2015 | 23 | |
| 8 | 2023 | 21 | |
| 9 | 2021 | 19 | |
| 10 | 2024 | 17 | |
| 11 | 2024 | 16 | |
| 12 | 2021 | 14 | |
| 13 | 2016 | 13 | |
| 14 | 2021 | 13 | |
| 15 | 2023 | 12 | |
| 16 | 2010 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2017 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2004 | 9 |
About Jun Xiao
Jun Xiao is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Safety Research, Computer Networks and Communications and Economics and Econometrics, having authored 77 papers that have together received 685 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (13 papers), Advanced Image Processing Techniques (12 papers), Experimental Behavioral Economics Studies (9 papers), Advanced Image and Video Retrieval Techniques (7 papers), Game Theory and Voting Systems (7 papers), Image Processing Techniques and Applications (6 papers), Image Enhancement Techniques (6 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (460 citations), Media Technology (105 citations), Computer Graphics and Computer-Aided Design (20 citations), Safety Research (45 citations) and Artificial Intelligence (143 citations). Jun Xiao has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Kin‐Man Lam, Junsong Fan, Zhaoxiang Zhang, Chunfeng Song, Tieniu Tan, Rui Zhao, Tianshan Liu, Cong Zhang, Daniel Pak-Kong Lun and Wei Zhang. Their work appears in journals such as Neurocomputing, Journal of Mathematical Economics, IEEE Geoscience and Remote Sensing Letters, Signal Processing Image Communication and Organic & Biomolecular Chemistry.
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.