Jun Peng
Impact in
-
- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Artificial Intelligence top 5%
- Cryptographic Implementations and Security
Papers in
-
- Neural Networks and Applications 12
- Cognitive Computing and Networks 10
- Fuzzy Logic and Control Systems 9
-
- Chaos-based Image/Signal Encryption 22
- Advanced Neural Network Applications 9
- Co-authors
- Kincho H. Law (17 shared papers)Shangzhu Jin (41 shared papers)Shuai Tan (3 shared papers)Fuli Wang (2 shared papers)Yuqing Chang (2 shared papers)Zuojin Li (10 shared papers)Xiaofeng Liao (7 shared papers)Liukui Chen (6 shared papers)
- Journals
- The Visual Computer (2 papers)International Journal of Cognitive Informatics and Natural Intelligence (14 papers)Scientific Reports (1 paper)Chemometrics and Intelligent Laboratory Systems (1 paper)IEEE Transactions on Evolutionary Computation (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Peng
142 papers receiving 979 citations
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 252
- Artificial Intelligence 269
- Control and Systems Engineering 191
- Computational Theory and Mathematics 113
- Statistics, Probability and Uncertainty 46
Countries citing papers authored by Jun Peng
This map shows the geographic impact of Jun 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 Jun Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Peng more than expected).
Fields of papers citing papers by Jun Peng
This network shows the impact of papers produced by Jun 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 Jun Peng. The network helps show where Jun Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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
Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 73 | |
| 2 | 2011 | 71 | |
| 3 | 2011 | 68 | |
| 4 | 2018 | 49 | |
| 5 | 2004 | 41 | |
| 6 | 2023 | 37 | |
| 7 | 2009 | 33 | |
| 8 | 2019 | 29 | |
| 9 | 2002 | 23 | |
| 10 | 2012 | 22 | |
| 11 | 2004 | 20 | |
| 12 | 2008 | 18 | |
| 13 | 2016 | 17 | |
| 14 | 2017 | 16 | |
| 15 | 2005 | 16 | |
| 16 | 2018 | 15 | |
| 17 | 2004 | 14 | |
| 18 | 2015 | 14 | |
| 19 | 2016 | 13 | |
| 20 | 2012 | 12 |
About Jun Peng
Jun Peng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Computational Theory and Mathematics, having authored 163 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (22 papers), Chaos control and synchronization (12 papers), Neural Networks and Applications (12 papers), Fractal and DNA sequence analysis (11 papers), Cognitive Computing and Networks (10 papers), Service-Oriented Architecture and Web Services (10 papers), Advanced Neural Network Applications (9 papers) and Fuzzy Logic and Control Systems (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (252 citations), Artificial Intelligence (269 citations), Control and Systems Engineering (191 citations), Computational Theory and Mathematics (113 citations) and Statistics, Probability and Uncertainty (46 citations). Jun Peng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kincho H. Law, Shangzhu Jin, Shuai Tan, Fuli Wang, Yuqing Chang, Zuojin Li, Xiaofeng Liao, Liukui Chen, Ying Wu and Du Zhang. Their work appears in journals such as The Visual Computer, International Journal of Cognitive Informatics and Natural Intelligence, Scientific Reports, Chemometrics and Intelligent Laboratory Systems and IEEE Transactions on Evolutionary Computation.
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.