Luoqing Li
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 0.5%
- Artificial Intelligence top 5%
- Computational Mechanics top 5%
- Atmospheric Science top 10%
- Topics
- Face and Expression Recognition (26 papers)Sparse and Compressive Sensing Techniques (24 papers)Image and Signal Denoising Methods (18 papers)
In The Last Decade
Luoqing Li
97 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 121
- Computer Vision and Pattern Recognition 770
- Media Technology 506
- Artificial Intelligence 424
- Computational Mechanics 288
- Atmospheric Science 227
Countries citing papers authored by Luoqing Li
This map shows the geographic impact of Luoqing 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 Luoqing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luoqing Li more than expected).
Fields of papers citing papers by Luoqing Li
This network shows the impact of papers produced by Luoqing 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 Luoqing Li. The network helps show where Luoqing Li may publish in the future.
Co-authorship network of co-authors of Luoqing Li
This figure shows the co-authorship network connecting the top 25 collaborators of Luoqing Li. A scholar is included among the top collaborators of Luoqing 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 Luoqing Li. Luoqing 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 | 21 | |
| 2 | 2 | |
| 3 | 44 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 20 | |
| 7 | 24 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 19 | |
| 11 | 11 | |
| 12 | 18 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | Experimental study on the induction of tolerance to experimental autoimmune myasthenia gravis by immature dendritic cells | 1 |
| 16 | The relation between weighted least squares support vector machine and the least square problem | 1 |
| 17 | The relation of solution between support vector machine regression and v-support vector machine classification | 0 |
| 18 | 0 | |
| 19 | 2 | |
| 20 | 1 |
About Luoqing Li
Luoqing Li is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Media Technology, having authored 100 papers that have together received 1.6k indexed citations. Recurring topics across this work include Face and Expression Recognition (26 papers), Sparse and Compressive Sensing Techniques (24 papers) and Image and Signal Denoising Methods (18 papers). The work is most often cited by research in Media Technology (506 citations), Computer Vision and Pattern Recognition (770 citations) and Applied Mathematics (201 citations). Luoqing Li has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Yuan Yan Tang, Jiangtao Peng, Hong Chen, Yulong Wang, Hong Li, Qiuhui Chen, Bin Zou, Tao Qian, Haoliang Yuan and Zongben Xu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing 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.