Sheng Li
- Computer Vision and Pattern Recognition top 2%
- Electronic, Optical and Magnetic Materials
- Aerospace Engineering top 10%
- Signal Processing top 5%
- Artificial Intelligence
- Co-authors
- Xinpeng ZhangAlex C. KotZichi WangZhenxing QianLiankui DaiJiaqiang ZhuGuangsheng WangAoping Guo
- Topics
- Advanced Steganography and Watermarking Techniques (18 papers)Biometric Identification and Security (18 papers)Digital Media Forensic Detection (18 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingElectronic, Optical and Magnetic Materials
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Sheng Li
58 papers receiving 886 citations
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 474
- Electronic, Optical and Magnetic Materials 170
- Aerospace Engineering 155
- Signal Processing 148
- Artificial Intelligence 84
Countries citing papers authored by Sheng Li
This map shows the geographic impact of Sheng 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 Sheng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Li more than expected).
Fields of papers citing papers by Sheng Li
This network shows the impact of papers produced by Sheng 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 Sheng Li. The network helps show where Sheng Li may publish in the future.
Co-authorship network of co-authors of Sheng Li
This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Li. A scholar is included among the top collaborators of Sheng 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 Sheng Li. Sheng 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 | 6 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | Robot Operating System-Based SLAM for a Gazebo-Simulated Turtlebot2 in 2d Indoor Environment with Cartographer Algorithm | 6 |
| 11 | 2 | |
| 12 | 123 | |
| 13 | 1 | |
| 14 | 69 | |
| 15 | A comprehensive assessment method for cold resistance of grape vines. | 4 |
| 16 | 6 | |
| 17 | Quality assessment of finger-vein image | 12 |
| 18 | 13 | |
| 19 | 62 | |
| 20 | Fingerprint image segmentation method based on linear support vector machine | 2 |
About Sheng Li
Sheng Li is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 63 papers that have together received 920 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (18 papers), Biometric Identification and Security (18 papers) and Digital Media Forensic Detection (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (474 citations), Signal Processing (148 citations) and Electronic, Optical and Magnetic Materials (170 citations). Sheng Li has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xinpeng Zhang, Alex C. Kot, Zichi Wang, Zhenxing Qian, Liankui Dai, Jiaqiang Zhu, Guangsheng Wang, Aoping Guo, Xiaojuan Zhang and Lin Guo. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and PLoS ONE.
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.