Jilin Li
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 1%
- Signal Processing top 1%
- Organic Chemistry top 5%
- Media Technology top 2%
- Co-authors
- Feiyue HuangYing TaiChengjie WangShouhong DingTaiping YaoYabiao WangRongrong JiDonghao Luo
- Topics
- Face recognition and analysis (20 papers)Anomaly Detection Techniques and Applications (10 papers)Face and Expression Recognition (9 papers)
- Partner nations
- ChinaPolandUnited States
In The Last Decade
Jilin Li
65 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 2.5k
- Artificial Intelligence 1.1k
- Signal Processing 577
- Organic Chemistry 366
- Media Technology 209
Countries citing papers authored by Jilin Li
This map shows the geographic impact of Jilin 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 Jilin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jilin Li more than expected).
Fields of papers citing papers by Jilin Li
This network shows the impact of papers produced by Jilin 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 Jilin Li. The network helps show where Jilin Li may publish in the future.
Co-authorship network of co-authors of Jilin Li
This figure shows the co-authorship network connecting the top 25 collaborators of Jilin Li. A scholar is included among the top collaborators of Jilin 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 Jilin Li. Jilin 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 | 1 | |
| 3 | 63 | |
| 4 | Rethinking Counting and Localization in Crowds: A Purely Point-Based Frameworkbreakdown → | 198 |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 29 | |
| 8 | 4 | |
| 9 | Distribution Distillation Loss: Generic Approach for Improving Face Recognition from Hard Samples | 1 |
| 10 | 110 | |
| 11 | CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognitionbreakdown → | 340 |
| 12 | 2 | |
| 13 | 30 | |
| 14 | 20 | |
| 15 | 22 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 11 | |
| 19 | 9 | |
| 20 | A FOA Estimation Approach for GALILEO/SAR Signal | 0 |
About Jilin Li
Jilin Li is a scholar working on Computer Vision and Pattern Recognition, Pharmaceutical Science and Signal Processing, having authored 71 papers that have together received 3.4k indexed citations. Recurring topics across this work include Face recognition and analysis (20 papers), Anomaly Detection Techniques and Applications (10 papers) and Face and Expression Recognition (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Signal Processing (577 citations) and Artificial Intelligence (1.1k citations). Jilin Li has collaborated with scholars based in China, Poland and United States. Frequent co-authors include Feiyue Huang, Ying Tai, Chengjie Wang, Shouhong Ding, Taiping Yao, Yabiao Wang, Rongrong Ji, Donghao Luo, Honggen Wang and Shaoxin Li. Their work appears in journals such as Chemical Communications, The Journal of Organic Chemistry and Chemistry - A European Journal.
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.