Jun Kong
Impact in
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- Image Retrieval and Classification Techniques
- Medical Image Segmentation Techniques
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Media Technology top 2%
- Remote-Sensing Image Classification
Papers in
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- Advanced Image and Video Retrieval Techniques 18
- Face and Expression Recognition 14
- Advanced Steganography and Watermarking Techniques 14
- Image Retrieval and Classification Techniques 12
- Medical Image Segmentation Techniques 11
- Digital Media Forensic Detection 11
- Visual Attention and Saliency Detection 8
- Co-authors
- Jianzhong Wang (32 shared papers)Miao Qi (30 shared papers)Yinghua Lu (36 shared papers)Baoxue Zhang (7 shared papers)Yugen Yi (9 shared papers)Yugen Yi (5 shared papers)Hui Xu (7 shared papers)Yanjiao Shi (6 shared papers)
In The Last Decade
Jun Kong
84 papers receiving 890 citations
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 602
- Media Technology 167
- Neurology 72
- Signal Processing 74
- Artificial Intelligence 192
Countries citing papers authored by Jun Kong
This map shows the geographic impact of Jun Kong'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 Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kong more than expected).
Fields of papers citing papers by Jun Kong
This network shows the impact of papers produced by Jun Kong. 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 Kong. The network helps show where Jun Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Kong, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 164 | |
| 2 | 2019 | 67 | |
| 3 | 2014 | 43 | |
| 4 | 2023 | 35 | |
| 5 | 2022 | 30 | |
| 6 | 2013 | 26 | |
| 7 | 2021 | 25 | |
| 8 | 2009 | 24 | |
| 9 | 2008 | 24 | |
| 10 | 2017 | 23 | |
| 11 | 2021 | 22 | |
| 12 | 2025 | 20 | |
| 13 | 2009 | 20 | |
| 14 | 2006 | 20 | |
| 15 | 2014 | 19 | |
| 16 | 2012 | 19 | |
| 17 | 2010 | 19 | |
| 18 | 2015 | 18 | |
| 19 | 2008 | 17 | |
| 20 | 2018 | 16 |
About Jun Kong
Jun Kong is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 88 papers that have together received 929 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (18 papers), Face and Expression Recognition (14 papers), Advanced Steganography and Watermarking Techniques (14 papers), Image Retrieval and Classification Techniques (12 papers), Medical Image Segmentation Techniques (11 papers), Digital Media Forensic Detection (11 papers), Biometric Identification and Security (10 papers) and Visual Attention and Saliency Detection (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (602 citations), Media Technology (167 citations), Neurology (72 citations), Signal Processing (74 citations) and Artificial Intelligence (192 citations). Jun Kong has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Jianzhong Wang, Miao Qi, Yinghua Lu, Baoxue Zhang, Yugen Yi, Yugen Yi, Hui Xu, Yanjiao Shi, Wei Zhou and Di Liu. Their work appears in journals such as Microporous and Mesoporous Materials, Neurocomputing, IEEE Transactions on Circuits and Systems for Video Technology, Molecular Informatics 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.