Shunquan Tan
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 5%
- Media Technology top 2%
- Signal Processing top 5%
- Biophysics top 5%
- Co-authors
- Bin LiJiwu HuangWeixuan TangJishen ZengHaodong LiXiaolong LiWang MingMing Wang
- Topics
- Digital Media Forensic Detection (55 papers)Advanced Steganography and Watermarking Techniques (47 papers)Generative Adversarial Networks and Image Synthesis (25 papers)
In The Last Decade
Shunquan Tan
60 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 2.0k
- Artificial Intelligence 345
- Media Technology 201
- Signal Processing 104
- Biophysics 54
Countries citing papers authored by Shunquan Tan
This map shows the geographic impact of Shunquan Tan'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 Shunquan Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunquan Tan more than expected).
Fields of papers citing papers by Shunquan Tan
This network shows the impact of papers produced by Shunquan Tan. 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 Shunquan Tan. The network helps show where Shunquan Tan may publish in the future.
Co-authorship network of co-authors of Shunquan Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Shunquan Tan. A scholar is included among the top collaborators of Shunquan Tan 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 Shunquan Tan. Shunquan Tan 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 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 52 | |
| 15 | 105 | |
| 16 | 1 | |
| 17 | CNN Transfer Learning for Automatic Fruit Recognition for Future Class of Fruit | 4 |
| 18 | 16 | |
| 19 | 155 | |
| 20 | 148 |
About Shunquan Tan
Shunquan Tan is a scholar working on Computer Vision and Pattern Recognition, Structural Biology and Media Technology, having authored 66 papers that have together received 2.1k indexed citations. Recurring topics across this work include Digital Media Forensic Detection (55 papers), Advanced Steganography and Watermarking Techniques (47 papers) and Generative Adversarial Networks and Image Synthesis (25 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Media Technology (201 citations) and Artificial Intelligence (345 citations). Shunquan Tan has collaborated with scholars based in China, Canada and Singapore. Frequent co-authors include Bin Li, Jiwu Huang, Weixuan Tang, Jishen Zeng, Haodong Li, Xiaolong Li, Jiwu Huang, Wang Ming, Bin Li and Bin Li. Their work appears in journals such as ACS Nano, IEEE Transactions on Image Processing and Expert Systems with Applications.
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.