Wenbo Zhou
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Signal Processing top 5%
- Media Technology top 10%
- Information Systems
- Topics
- Generative Adversarial Networks and Image Synthesis (21 papers)Digital Media Forensic Detection (20 papers)Advanced Steganography and Watermarking Techniques (12 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceAdvanced Energy MaterialsLab on a Chip
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wenbo Zhou
45 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 1.4k
- Artificial Intelligence 479
- Signal Processing 156
- Media Technology 40
- Information Systems 39
Countries citing papers authored by Wenbo Zhou
This map shows the geographic impact of Wenbo Zhou'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 Wenbo Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenbo Zhou more than expected).
Fields of papers citing papers by Wenbo Zhou
This network shows the impact of papers produced by Wenbo Zhou. 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 Wenbo Zhou. The network helps show where Wenbo Zhou may publish in the future.
Co-authorship network of co-authors of Wenbo Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Wenbo Zhou. A scholar is included among the top collaborators of Wenbo Zhou 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 Wenbo Zhou. Wenbo Zhou 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 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 34 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 46 | |
| 18 | Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domainbreakdown → | 338 |
| 19 | Multi-attentional Deepfake Detectionbreakdown → | 537 |
| 20 | 6 |
About Wenbo Zhou
Wenbo Zhou is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Signal Processing, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (21 papers), Digital Media Forensic Detection (20 papers) and Advanced Steganography and Watermarking Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Artificial Intelligence (479 citations) and Signal Processing (156 citations). Wenbo Zhou has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Weiming Zhang, Nenghai Yu, Dongdong Chen, Tianyi Wei, Hanqing Zhao, Honggu Liu, Xiaodan Li, Hui Xue, Yuan He and Yuefeng Chen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Advanced Energy Materials and Lab on a Chip.
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.