Xiaolong Li
- Computer Vision and Pattern Recognition top 0.05%
- Media Technology top 0.5%
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Plant Science top 10%
- Co-authors
- Bin YangYao ZhaoBin LiBo OuWeiming ZhangRongrong NiJian LiYun-Qing Shi
- Topics
- Advanced Steganography and Watermarking Techniques (116 papers)Digital Media Forensic Detection (112 papers)Chaos-based Image/Signal Encryption (89 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaolong Li
152 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 6.4k
- Media Technology 506
- Artificial Intelligence 438
- Signal Processing 270
- Plant Science 189
Countries citing papers authored by Xiaolong Li
This map shows the geographic impact of Xiaolong Li'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 Xiaolong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolong Li more than expected).
Fields of papers citing papers by Xiaolong Li
This network shows the impact of papers produced by Xiaolong Li. 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 Xiaolong Li. The network helps show where Xiaolong Li may publish in the future.
Co-authorship network of co-authors of Xiaolong Li
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolong Li. A scholar is included among the top collaborators of Xiaolong Li 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 Xiaolong Li. Xiaolong Li 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 | 1 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 19 | |
| 8 | 0 | |
| 9 | 20 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 3 | |
| 14 | 15 | |
| 15 | 24 | |
| 16 | 1 | |
| 17 | 22 | |
| 18 | 6 | |
| 19 | 6 | |
| 20 | 28 |
About Xiaolong Li
Xiaolong Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 165 papers that have together received 7.0k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (116 papers), Digital Media Forensic Detection (112 papers) and Chaos-based Image/Signal Encryption (89 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.4k citations), Media Technology (506 citations) and Computer Graphics and Computer-Aided Design (121 citations). Xiaolong Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bin Yang, Yao Zhao, Bin Li, Bo Ou, Weiming Zhang, Rongrong Ni, Bin Yang, Jian Li, Yun-Qing Shi and Xinlu Gui. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Image Processing.
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.