Wenzhong Lin
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Artificial Intelligence
- Co-authors
- Tao WangGe XuLingwei XuHan WangYulei WuHui LinJingjing WangYun Liu
- Topics
- Wireless Communication Security Techniques (3 papers)Face and Expression Recognition (2 papers)Cooperative Communication and Network Coding (2 papers)
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Wenzhong Lin
10 papers receiving 236 citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 100
- Experimental and Cognitive Psychology 78
- Electrical and Electronic Engineering 68
- Computer Networks and Communications 59
- Artificial Intelligence 35
Countries citing papers authored by Wenzhong Lin
This map shows the geographic impact of Wenzhong Lin'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 Wenzhong Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenzhong Lin more than expected).
Fields of papers citing papers by Wenzhong Lin
This network shows the impact of papers produced by Wenzhong Lin. 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 Wenzhong Lin. The network helps show where Wenzhong Lin may publish in the future.
Co-authorship network of co-authors of Wenzhong Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Wenzhong Lin. A scholar is included among the top collaborators of Wenzhong Lin 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 Wenzhong Lin. Wenzhong Lin 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 | 25 | |
| 3 | Distract Your Attention: Multi-Head Cross Attention Network for Facial Expression Recognitionbreakdown → | 131 |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 28 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 31 | |
| 10 | 2 |
About Wenzhong Lin
Wenzhong Lin is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Media Technology, having authored 10 papers that have together received 244 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (3 papers), Face and Expression Recognition (2 papers) and Cooperative Communication and Network Coding (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (78 citations), Computer Vision and Pattern Recognition (100 citations) and Human-Computer Interaction (15 citations). Wenzhong Lin has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Tao Wang, Ge Xu, Lingwei Xu, Han Wang, Yulei Wu, Hui Lin, Jingjing Wang, Yun Liu, Xu Yu and Xinjie Wang. Their work appears in journals such as IEEE Access, Neural Computing and Applications and Mobile Networks and Applications.
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.