Yicong Li
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Cancer Research
- Co-authors
- Tat‐Seng ChuaJunbin XiaoAndrew D. TristerRahul G. KrishnanTiffany ChenChengkuan ChenRichard J. ChenFaisal Mahmood
- Topics
- Multimodal Machine Learning Applications (15 papers)Human Pose and Action Recognition (9 papers)Domain Adaptation and Few-Shot Learning (9 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionCeramics International
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Yicong Li
19 papers receiving 732 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 415
- Artificial Intelligence 380
- Radiology, Nuclear Medicine and Imaging 117
- Molecular Biology 85
- Cancer Research 71
Countries citing papers authored by Yicong Li
This map shows the geographic impact of Yicong 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 Yicong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yicong Li more than expected).
Fields of papers citing papers by Yicong Li
This network shows the impact of papers produced by Yicong 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 Yicong Li. The network helps show where Yicong Li may publish in the future.
Co-authorship network of co-authors of Yicong Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yicong Li. A scholar is included among the top collaborators of Yicong 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 Yicong Li. Yicong 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 | 1 | |
| 2 | 0 | |
| 3 | 20 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 19 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 40 | |
| 11 | Glabridin, a bioactive component of licorice, ameliorates diabetic nephropathy by regulating ferroptosis and the VEGF/Akt/ERK pathwaysbreakdown → | 111 |
| 12 | 0 | |
| 13 | 63 | |
| 14 | Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learningbreakdown → | 261 |
| 15 | 72 | |
| 16 | 19 | |
| 17 | 22 | |
| 18 | 9 | |
| 19 | 40 | |
| 20 | 42 |
About Yicong Li
Yicong Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ceramics and Composites, having authored 21 papers that have together received 743 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (15 papers), Human Pose and Action Recognition (9 papers) and Domain Adaptation and Few-Shot Learning (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (415 citations), Artificial Intelligence (380 citations) and Biophysics (34 citations). Yicong Li has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Tat‐Seng Chua, Junbin Xiao, Andrew D. Trister, Rahul G. Krishnan, Tiffany Chen, Chengkuan Chen, Richard J. Chen, Faisal Mahmood, Xiang Wang and Wei Ji. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Ceramics International.
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.