Shuai Li
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Artificial Intelligence
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Topics
- Advanced Image Processing Techniques (25 papers)Advanced Vision and Imaging (22 papers)Image Enhancement Techniques (17 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Access
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Shuai Li
89 papers receiving 804 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 527
- Signal Processing 148
- Artificial Intelligence 80
- Computer Networks and Communications 72
- Electrical and Electronic Engineering 69
Countries citing papers authored by Shuai Li
This map shows the geographic impact of Shuai 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 Shuai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuai Li more than expected).
Fields of papers citing papers by Shuai Li
This network shows the impact of papers produced by Shuai 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 Shuai Li. The network helps show where Shuai Li may publish in the future.
Co-authorship network of co-authors of Shuai Li
This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Li. A scholar is included among the top collaborators of Shuai 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 Shuai Li. Shuai 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 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 20 | |
| 14 | 40 | |
| 15 | Application of IndRNN for human activity recognition the Sussex-Huawei locomotion-transportation challenge | 2 |
| 16 | 37 | |
| 17 | 3 | |
| 18 | Comparison Analysis of Runoff Change Trends Based on Wavelet Denoising | 1 |
| 19 | Intra-day price discovery process of Taiwan stock index futures | 1 |
| 20 | The Study on Teaching Approaches in Mechanical and Electronic Engineering | 0 |
About Shuai Li
Shuai Li is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and General Engineering, having authored 101 papers that have together received 828 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (25 papers), Advanced Vision and Imaging (22 papers) and Image Enhancement Techniques (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (527 citations), Signal Processing (148 citations) and Human-Computer Interaction (59 citations). Shuai Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yanbo Gao, Ce Zhu, Mao Ye, Wanqing Li, Chenxi Yuan, Hubo Cai, Xue Li, Chuankun Li, Chris Cook and Yaqin Zhao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.
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.