Cong Jin
Impact in
- Software top 2%
- Software Reliability and Analysis Research
Papers in
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- Advanced Steganography and Watermarking Techniques 31
- Chaos-based Image/Signal Encryption 18
- Digital Media Forensic Detection 15
- Image Retrieval and Classification Techniques 14
- Advanced Image and Video Retrieval Techniques 12
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- Software Engineering Research 17
- Co-authors
- Shu‐Wei Jin (15 shared papers)Hui Liu (2 shared papers)Jinan Liu (3 shared papers)Wei Zhang (3 shared papers)Jinghua Wang (3 shared papers)Jinghua Wang (2 shared papers)S.W. Jin (1 shared paper)Lan Lin (2 shared papers)
In The Last Decade
Cong Jin
85 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 91
- Software 301
- Computer Science Applications 90
- Computer Vision and Pattern Recognition 324
- Information Systems 345
- Computer Networks and Communications 260
Countries citing papers authored by Cong Jin
This map shows the geographic impact of Cong Jin'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 Cong Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Jin more than expected).
Fields of papers citing papers by Cong Jin
This network shows the impact of papers produced by Cong Jin. 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 Cong Jin. The network helps show where Cong Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Jin, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 80 | |
| 2 | 2020 | 63 | |
| 3 | 2012 | 60 | |
| 4 | 2021 | 56 | |
| 5 | 2015 | 55 | |
| 6 | 2013 | 54 | |
| 7 | 2015 | 50 | |
| 8 | 2008 | 45 | |
| 9 | 2014 | 40 | |
| 10 | 2010 | 35 | |
| 11 | A Color Image Encryption Scheme Based on Arnold Scrambling and Quantum Chaotic. | 2017 | 33 |
| 12 | 2017 | 33 | |
| 13 | 2008 | 31 | |
| 14 | 2008 | 30 | |
| 15 | 2012 | 29 | |
| 16 | 2021 | 25 | |
| 17 | 2011 | 25 | |
| 18 | 2020 | 24 | |
| 19 | 2015 | 21 | |
| 20 | 2007 | 20 |
About Cong Jin
Cong Jin is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications, Software and Artificial Intelligence, having authored 94 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (31 papers), Chaos-based Image/Signal Encryption (18 papers), Software Engineering Research (17 papers), Software Reliability and Analysis Research (17 papers), Digital Media Forensic Detection (15 papers), Image Retrieval and Classification Techniques (14 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Software System Performance and Reliability (9 papers). The work is most often cited by research in Software (301 citations), Computer Science Applications (90 citations), Computer Vision and Pattern Recognition (324 citations), Information Systems (345 citations) and Computer Networks and Communications (260 citations). Cong Jin has collaborated with scholars based in China, France and Burundi. Frequent co-authors include Shu‐Wei Jin, Hui Liu, Jinan Liu, Wei Zhang, Jinghua Wang, Jinghua Wang, S.W. Jin, Lan Lin, Shuicai Wu and Baiwen Zhang. Their work appears in journals such as Multimedia Tools and Applications, Applied Soft Computing, Soft Computing, Journal of Visual Communication and Image Representation and 3D Research.
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.