Xin Geng
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 1%
- Genetics top 5%
- Molecular Biology
- Artificial Intelligence top 5%
- Co-authors
- Zhi‐Hua ZhouKate Smith‐MilesZhihua ZhouChao YinZhanjiang LiuShikai LiuXiaoguang HuHonghua Dai
- Topics
- Face recognition and analysis (14 papers)Face and Expression Recognition (13 papers)Genetic Mapping and Diversity in Plants and Animals (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaGastroenterologyIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xin Geng
126 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Computer Vision and Pattern Recognition 1.7k
- Signal Processing 515
- Genetics 450
- Molecular Biology 427
- Artificial Intelligence 373
Countries citing papers authored by Xin Geng
This map shows the geographic impact of Xin Geng'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 Xin Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Geng more than expected).
Fields of papers citing papers by Xin Geng
This network shows the impact of papers produced by Xin Geng. 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 Xin Geng. The network helps show where Xin Geng may publish in the future.
Co-authorship network of co-authors of Xin Geng
This figure shows the co-authorship network connecting the top 25 collaborators of Xin Geng. A scholar is included among the top collaborators of Xin Geng 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 Xin Geng. Xin Geng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 14 | |
| 10 | 14 | |
| 11 | 2 | |
| 12 | 17 | |
| 13 | 59 | |
| 14 | 9 | |
| 15 | 53 | |
| 16 | 16 | |
| 17 | 90 | |
| 18 | Individual discriminative subspace for face recognition under uncontrolled conditions | 1 |
| 19 | Distance-driven Fusion of Gait and Face for Human Identification in Video | 5 |
| 20 | Dynamic biometrics fusion at feature level for video-based human recognition | 7 |
About Xin Geng
Xin Geng is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 133 papers that have together received 3.8k indexed citations. Recurring topics across this work include Face recognition and analysis (14 papers), Face and Expression Recognition (13 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Computational Mathematics (36 citations) and Signal Processing (515 citations). Xin Geng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhi‐Hua Zhou, Kate Smith‐Miles, Zhihua Zhou, Chao Yin, Zhanjiang Liu, Shikai Liu, Xiaoguang Hu, Honghua Dai, Yu Zhang and Gang Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.