Jianeng Tang
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 10%
- Mathematical Physics
- Co-authors
- Tingting HuangYuling FanPeizhong LiuYongzhao DuJinghua LiuMingsheng LüYaojin LinCairong Zou
- Topics
- Chaos-based Image/Signal Encryption (17 papers)Chaos control and synchronization (8 papers)Advanced Steganography and Watermarking Techniques (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionStatistical and Nonlinear PhysicsMathematical Physics
- Partner nations
- ChinaUnited States
In The Last Decade
Jianeng Tang
38 papers receiving 433 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 280
- Artificial Intelligence 139
- Statistical and Nonlinear Physics 103
- Computational Theory and Mathematics 65
- Mathematical Physics 41
Countries citing papers authored by Jianeng Tang
This map shows the geographic impact of Jianeng Tang'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 Jianeng Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianeng Tang more than expected).
Fields of papers citing papers by Jianeng Tang
This network shows the impact of papers produced by Jianeng Tang. 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 Jianeng Tang. The network helps show where Jianeng Tang may publish in the future.
Co-authorship network of co-authors of Jianeng Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Jianeng Tang. A scholar is included among the top collaborators of Jianeng Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jianeng Tang. Jianeng Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 19 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 36 | |
| 10 | 30 | |
| 11 | 0 | |
| 12 | 13 | |
| 13 | 11 | |
| 14 | 33 | |
| 15 | 13 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 17 | |
| 19 | 6 | |
| 20 | Localization of Acoustic Emission Source Based on Chaotic Neural Networks | 8 |
About Jianeng Tang
Jianeng Tang is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 43 papers that have together received 448 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (17 papers), Chaos control and synchronization (8 papers) and Advanced Steganography and Watermarking Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (280 citations), Statistical and Nonlinear Physics (103 citations) and Mathematical Physics (41 citations). Jianeng Tang has collaborated with scholars based in China and United States. Frequent co-authors include Tingting Huang, Yuling Fan, Peizhong Liu, Yongzhao Du, Jinghua Liu, Mingsheng Lü, Yaojin Lin, Cairong Zou, Feng Zhang and Jinyuan Chen. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Sensors.
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.