Hao‐Tian Wu
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Media Technology top 5%
- Co-authors
- Jiwu HuangYiu‐ming CheungYun-Qing ShiXinpeng ZhangXiaolong LiBin MaShaohua TangJean‐Luc Dugelay
- Topics
- Advanced Steganography and Watermarking Techniques (36 papers)Chaos-based Image/Signal Encryption (27 papers)Digital Media Forensic Detection (21 papers)
In The Last Decade
Hao‐Tian Wu
60 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 1.3k
- Artificial Intelligence 222
- Information Systems 120
- Computer Graphics and Computer-Aided Design 112
- Media Technology 75
Countries citing papers authored by Hao‐Tian Wu
This map shows the geographic impact of Hao‐Tian Wu'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 Hao‐Tian Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao‐Tian Wu more than expected).
Fields of papers citing papers by Hao‐Tian Wu
This network shows the impact of papers produced by Hao‐Tian Wu. 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 Hao‐Tian Wu. The network helps show where Hao‐Tian Wu may publish in the future.
Co-authorship network of co-authors of Hao‐Tian Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Hao‐Tian Wu. A scholar is included among the top collaborators of Hao‐Tian Wu 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 Hao‐Tian Wu. Hao‐Tian Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 19 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 22 | |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 0 | |
| 12 | 24 | |
| 13 | 28 | |
| 14 | 9 | |
| 15 | 11 | |
| 16 | 36 | |
| 17 | 123 | |
| 18 | Information hiding for media authentication and covert communication | 2 |
| 19 | 31 | |
| 20 | A Multipurpose Image Watermarking Method for Copyright Notification and Protection | 1 |
About Hao‐Tian Wu
Hao‐Tian Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computer Science Applications, having authored 67 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (36 papers), Chaos-based Image/Signal Encryption (27 papers) and Digital Media Forensic Detection (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Computer Graphics and Computer-Aided Design (112 citations) and Computer Science Applications (68 citations). Hao‐Tian Wu has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Jiwu Huang, Yiu‐ming Cheung, Yun-Qing Shi, Xinpeng Zhang, Xiaolong Li, Bin Ma, Shaohua Tang, Jean‐Luc Dugelay, Yun-Qing Shi and Jiankun Hu. Their work appears in journals such as SHILAP Revista de lepidopterología, Oncogene and Carbon.
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.