Tiegang Gao
- Computer Vision and Pattern Recognition top 0.5%
- Statistical and Nonlinear Physics top 1%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Computer Networks and Communications top 5%
- Topics
- Advanced Steganography and Watermarking Techniques (73 papers)Chaos-based Image/Signal Encryption (60 papers)Digital Media Forensic Detection (53 papers)
- Cited by
- Computer Vision and Pattern RecognitionStatistical and Nonlinear PhysicsMathematical Physics
- Partner nations
- ChinaHong KongSierra Leone
In The Last Decade
Tiegang Gao
122 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 1.6k
- Statistical and Nonlinear Physics 471
- Artificial Intelligence 357
- Computational Theory and Mathematics 287
- Computer Networks and Communications 232
Countries citing papers authored by Tiegang Gao
This map shows the geographic impact of Tiegang Gao'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 Tiegang Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiegang Gao more than expected).
Fields of papers citing papers by Tiegang Gao
This network shows the impact of papers produced by Tiegang Gao. 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 Tiegang Gao. The network helps show where Tiegang Gao may publish in the future.
Co-authorship network of co-authors of Tiegang Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Tiegang Gao. A scholar is included among the top collaborators of Tiegang Gao 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 Tiegang Gao. Tiegang Gao 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 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 20 | |
| 11 | 8 | |
| 12 | Double Verifiable Lossless Secret Sharing Based on Hyper-chaos Generated Random Grid. | 1 |
| 13 | A Reversible Data Hiding Scheme Based on Histogram Modification in Integer DWT Domain for BTC Compressed Images. | 9 |
| 14 | Contrast Modification Forensic Algorithm Based on Superpixel and Histogram of Run Length | 1 |
| 15 | 2 | |
| 16 | Improvement algorithm for simulated annealing in LEACH-C protocol | 3 |
| 17 | SIMULATION FOR DISASSEMBLY PLANNING OF USED-PRODUCT IN REVERSE SUPPLY CHAIN | 3 |
| 18 | 167 | |
| 19 | Research on Impact Mechanism of Reference Effect on Used-product Replacement | 0 |
| 20 | 2 |
About Tiegang Gao
Tiegang Gao is a scholar working on Computer Vision and Pattern Recognition, Management Information Systems and Media Technology, having authored 134 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (73 papers), Chaos-based Image/Signal Encryption (60 papers) and Digital Media Forensic Detection (53 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Statistical and Nonlinear Physics (471 citations) and Mathematical Physics (231 citations). Tiegang Gao has collaborated with scholars based in China, Hong Kong and Sierra Leone. Frequent co-authors include Zengqiang Chen, Qiaolun Gu, Fan Li, Zhuzhi Yuan, Guanrong Chen, Kunshu Wang, Hang Gao, Shijian Cang, Hang Gao and Zehui Zhang. Their work appears in journals such as IEEE Access, Energy and Information Sciences.
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.