Lerenhan Li
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 1%
- Safety, Risk, Reliability and Quality top 5%
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Changxin GaoNong SangWenqi RenYuanjie ShaoJinshan PanMing–Hsuan YangWei‐Sheng LaiZhong Ji
- Topics
- Advanced Image Processing Techniques (8 papers)Image and Signal Denoising Methods (3 papers)Image Enhancement Techniques (3 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionSafety, Risk, Reliability and Quality
- Journals
- IEEE Transactions on Image ProcessingInternational Journal of Computer VisionPattern Recognition Letters
- Partner nations
- ChinaUnited States
In The Last Decade
Lerenhan Li
10 papers receiving 773 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 743
- Media Technology 376
- Safety, Risk, Reliability and Quality 57
- Artificial Intelligence 44
- Biomedical Engineering 23
Countries citing papers authored by Lerenhan Li
This map shows the geographic impact of Lerenhan 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 Lerenhan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lerenhan Li more than expected).
Fields of papers citing papers by Lerenhan Li
This network shows the impact of papers produced by Lerenhan 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 Lerenhan Li. The network helps show where Lerenhan Li may publish in the future.
Co-authorship network of co-authors of Lerenhan Li
This figure shows the co-authorship network connecting the top 25 collaborators of Lerenhan Li. A scholar is included among the top collaborators of Lerenhan 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 Lerenhan Li. Lerenhan 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 | 37 | |
| 2 | Domain Adaptation for Image Dehazingbreakdown → | 323 |
| 3 | 1 | |
| 4 | 37 | |
| 5 | Camera Style and Identity Disentangling Network for Person Re-identification. | 2 |
| 6 | 166 | |
| 7 | 91 | |
| 8 | 106 | |
| 9 | 12 | |
| 10 | 10 |
About Lerenhan Li
Lerenhan Li is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Signal Processing, having authored 10 papers that have together received 785 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (8 papers), Image and Signal Denoising Methods (3 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Media Technology (376 citations), Computer Vision and Pattern Recognition (743 citations) and Safety, Risk, Reliability and Quality (57 citations). Lerenhan Li has collaborated with scholars based in China and United States. Frequent co-authors include Changxin Gao, Nong Sang, Wenqi Ren, Yuanjie Shao, Jinshan Pan, Ming–Hsuan Yang, Nong Sang, Wei‐Sheng Lai, Zhong Ji and Luxin Yan. Their work appears in journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision and Pattern Recognition Letters.
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.