Chunlei Li
- Computer Vision and Pattern Recognition top 2%
- Industrial and Manufacturing Engineering top 1%
- Media Technology top 2%
- Computational Mechanics top 5%
- Global and Planetary Change
- Topics
- Industrial Vision Systems and Defect Detection (43 papers)Image Processing Techniques and Applications (33 papers)Visual Attention and Saliency Detection (15 papers)
- Cited by
- Industrial and Manufacturing EngineeringMedia TechnologyComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Chunlei Li
90 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 511
- Industrial and Manufacturing Engineering 481
- Media Technology 228
- Computational Mechanics 155
- Global and Planetary Change 95
Countries citing papers authored by Chunlei Li
This map shows the geographic impact of Chunlei 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 Chunlei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunlei Li more than expected).
Fields of papers citing papers by Chunlei Li
This network shows the impact of papers produced by Chunlei 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 Chunlei Li. The network helps show where Chunlei Li may publish in the future.
Co-authorship network of co-authors of Chunlei Li
This figure shows the co-authorship network connecting the top 25 collaborators of Chunlei Li. A scholar is included among the top collaborators of Chunlei 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 Chunlei Li. Chunlei 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 | 3 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 6 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 16 | |
| 14 | 18 | |
| 15 | 10 | |
| 16 | 8 | |
| 17 | 49 | |
| 18 | 8 | |
| 19 | Application of Image Segmentation Based on Improved Watershed Segmentation Algorithm | 1 |
| 20 | [Primarily study of alkylphenols in sediment core from Nam Van artificial lake of Macao]. | 8 |
About Chunlei Li
Chunlei Li is a scholar working on Industrial and Manufacturing Engineering, Media Technology and Computer Vision and Pattern Recognition, having authored 105 papers that have together received 1.1k indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (43 papers), Image Processing Techniques and Applications (33 papers) and Visual Attention and Saliency Detection (15 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (481 citations), Media Technology (228 citations) and Computer Vision and Pattern Recognition (511 citations). Chunlei Li has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Zhoufeng Liu, Guangshuai Gao, Di Huang, Duanyang Xu, Yan Dong, Zhoufeng Liu, Bin Ma, Yunhong Wang, Zhaoxiang Zhang and Hongyan Ren. Their work appears in journals such as IEEE Access, Sensors and Actuators B Chemical and Neurocomputing.
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.