Hailin Shi
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 1%
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 5%
- Computational Mechanics top 5%
- Topics
- Face recognition and analysis (23 papers)Face and Expression Recognition (18 papers)Biometric Identification and Security (13 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Hailin Shi
39 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 2.1k
- Signal Processing 637
- Artificial Intelligence 335
- Experimental and Cognitive Psychology 197
- Computational Mechanics 170
Countries citing papers authored by Hailin Shi
This map shows the geographic impact of Hailin Shi'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 Hailin Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailin Shi more than expected).
Fields of papers citing papers by Hailin Shi
This network shows the impact of papers produced by Hailin Shi. 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 Hailin Shi. The network helps show where Hailin Shi may publish in the future.
Co-authorship network of co-authors of Hailin Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Hailin Shi. A scholar is included among the top collaborators of Hailin Shi 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 Hailin Shi. Hailin Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 11 | |
| 9 | CM-NAS: Rethinking Cross-Modality Neural Architectures for Visible-Infrared Person Re-Identification. | 1 |
| 10 | 113 | |
| 11 | 62 | |
| 12 | 166 | |
| 13 | 113 | |
| 14 | 77 | |
| 15 | Meta Anti-spoofing: Learning to Learn in Face Anti-spoofing. | 2 |
| 16 | CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing. | 4 |
| 17 | Rethink and Redesign Meta learning | 4 |
| 18 | 132 | |
| 19 | 22 | |
| 20 | S^3FD: Single Shot Scale-Invariant Face Detectorbreakdown → | 411 |
About Hailin Shi
Hailin Shi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Developmental Neuroscience, having authored 40 papers that have together received 2.4k indexed citations. Recurring topics across this work include Face recognition and analysis (23 papers), Face and Expression Recognition (18 papers) and Biometric Identification and Security (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Signal Processing (637 citations) and Computational Mathematics (12 citations). Hailin Shi has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Stan Z. Li, Zhen Lei, Xiangyu Zhu, Xiaoming Liu, Shifeng Zhang, Xiangyu Zhu, Tao Mei, Xiaobo Wang, Xiaobo Wang and Tao Mei. Their work appears in journals such as IEEE Transactions on Image Processing, Journal of Ethnopharmacology and ACM Computing Surveys.
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.