Xiangui Kang
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 2%
- Media Technology top 1%
- Artificial Intelligence top 5%
- Law top 0.5%
- Topics
- Digital Media Forensic Detection (68 papers)Advanced Steganography and Watermarking Techniques (55 papers)Generative Adversarial Networks and Image Synthesis (27 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE AccessIEEE Transactions on Cybernetics
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiangui Kang
92 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 2.1k
- Signal Processing 391
- Media Technology 386
- Artificial Intelligence 352
- Law 201
Countries citing papers authored by Xiangui Kang
This map shows the geographic impact of Xiangui Kang'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 Xiangui Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangui Kang more than expected).
Fields of papers citing papers by Xiangui Kang
This network shows the impact of papers produced by Xiangui Kang. 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 Xiangui Kang. The network helps show where Xiangui Kang may publish in the future.
Co-authorship network of co-authors of Xiangui Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiangui Kang. A scholar is included among the top collaborators of Xiangui Kang 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 Xiangui Kang. Xiangui Kang 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 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 12 | |
| 8 | 17 | |
| 9 | 56 | |
| 10 | Densely Connected Convolutional Network for Audio Spoofing Detection | 6 |
| 11 | 3 | |
| 12 | A Generative Adversarial Network Framework for JPEG Anti-Forensics | 1 |
| 13 | 0 | |
| 14 | 4 | |
| 15 | 26 | |
| 16 | Robust median filtering forensics based on the autoregressive model of median filtered residual | 16 |
| 17 | 91 | |
| 18 | A Multi-band Wavelet Watermarking Scheme | 33 |
| 19 | 1 | |
| 20 | Spread-Spectrum Watermarking Resists to Affine Transformation | 1 |
About Xiangui Kang
Xiangui Kang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 103 papers that have together received 2.4k indexed citations. Recurring topics across this work include Digital Media Forensic Detection (68 papers), Advanced Steganography and Watermarking Techniques (55 papers) and Generative Adversarial Networks and Image Synthesis (27 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Media Technology (386 citations) and Signal Processing (391 citations). Xiangui Kang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jiwu Huang, Z. Jane Wang, Jiwu Huang, Jiansheng Chen, Anjie Peng, Ye Liu, K. J. Ray Liu, Xiaodan Lin, Yukun Shi and Yan Lin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and IEEE Transactions on Cybernetics.
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.