Guoqiang Wang
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Information Systems
- Computer Networks and Communications
- Co-authors
- Pengfei ZhangTianrui LiLijun DongChuan LuoHongmei ChenHongtu XieQianqian HuangChuncheng Zuo
- Topics
- Face and Expression Recognition (11 papers)Image Retrieval and Classification Techniques (6 papers)Face recognition and analysis (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputational Theory and MathematicsMedia Technology
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Guoqiang Wang
37 papers receiving 268 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 98
- Artificial Intelligence 76
- Computational Theory and Mathematics 56
- Information Systems 42
- Computer Networks and Communications 26
Countries citing papers authored by Guoqiang Wang
This map shows the geographic impact of Guoqiang Wang'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 Guoqiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoqiang Wang more than expected).
Fields of papers citing papers by Guoqiang Wang
This network shows the impact of papers produced by Guoqiang Wang. 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 Guoqiang Wang. The network helps show where Guoqiang Wang may publish in the future.
Co-authorship network of co-authors of Guoqiang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Guoqiang Wang. A scholar is included among the top collaborators of Guoqiang Wang 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 Guoqiang Wang. Guoqiang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 13 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 11 | |
| 9 | 8 | |
| 10 | 14 | |
| 11 | 3 | |
| 12 | 26 | |
| 13 | 29 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | 2 |
About Guoqiang Wang
Guoqiang Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Networks and Communications, having authored 40 papers that have together received 286 indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Image Retrieval and Classification Techniques (6 papers) and Face recognition and analysis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (98 citations), Computational Theory and Mathematics (56 citations) and Media Technology (26 citations). Guoqiang Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Pengfei Zhang, Tianrui Li, Lijun Dong, Chuan Luo, Hongmei Chen, Hongtu Xie, Qianqian Huang, Chuncheng Zuo, Weijuan Zhang and Xiao Hu. Their work appears in journals such as PLoS ONE, Journal of Hydrology and Information Sciences.
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.