Lin Xiong
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Surgery
- Topics
- Face and Expression Recognition (12 papers)Face recognition and analysis (8 papers)Advanced Image and Video Retrieval Techniques (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Molecular SciencesIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Lin Xiong
31 papers receiving 799 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 532
- Signal Processing 172
- Artificial Intelligence 169
- Electrical and Electronic Engineering 65
- Surgery 58
Countries citing papers authored by Lin Xiong
This map shows the geographic impact of Lin Xiong'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 Lin Xiong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Xiong more than expected).
Fields of papers citing papers by Lin Xiong
This network shows the impact of papers produced by Lin Xiong. 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 Lin Xiong. The network helps show where Lin Xiong may publish in the future.
Co-authorship network of co-authors of Lin Xiong
This figure shows the co-authorship network connecting the top 25 collaborators of Lin Xiong. A scholar is included among the top collaborators of Lin Xiong 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 Lin Xiong. Lin Xiong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 11 | |
| 4 | 22 | |
| 5 | 32 | |
| 6 | 110 | |
| 7 | 63 | |
| 8 | 72 | |
| 9 | Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis | 80 |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 13 | |
| 13 | 40 | |
| 14 | 3 | |
| 15 | 10 | |
| 16 | 39 | |
| 17 | 14 | |
| 18 | 1 | |
| 19 | 30 | |
| 20 | 7 |
About Lin Xiong
Lin Xiong is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing, having authored 31 papers that have together received 820 indexed citations. Recurring topics across this work include Face and Expression Recognition (12 papers), Face recognition and analysis (8 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (532 citations), Signal Processing (172 citations) and Artificial Intelligence (169 citations). Lin Xiong has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Shuicheng Yan, Jiashi Feng, Jian Zhao, Jianshu Li, Junliang Xing, Licheng Jiao, Shasha Mao, Fang Zhao, Sugiri Pranata and Shengmei Shen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Molecular Sciences and IEEE Transactions on Geoscience and Remote Sensing.
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.