Guoqiu Wen
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Management Science and Operations Research top 5%
- Computational Theory and Mathematics top 5%
- Information Systems top 10%
- Co-authors
- Yonghua ZhuZhaowen LiNingxin XieWei ZhengJiangzhang GanXiaofeng ZhuWei HeXiaohui Cheng
- Topics
- Face and Expression Recognition (24 papers)Advanced Clustering Algorithms Research (10 papers)Advanced Graph Neural Networks (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceManagement Science and Operations Research
- Partner nations
- ChinaNew ZealandUnited States
In The Last Decade
Guoqiu Wen
36 papers receiving 543 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 306
- Computer Vision and Pattern Recognition 221
- Management Science and Operations Research 105
- Computational Theory and Mathematics 79
- Information Systems 45
Countries citing papers authored by Guoqiu Wen
This map shows the geographic impact of Guoqiu Wen'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 Guoqiu Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoqiu Wen more than expected).
Fields of papers citing papers by Guoqiu Wen
This network shows the impact of papers produced by Guoqiu Wen. 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 Guoqiu Wen. The network helps show where Guoqiu Wen may publish in the future.
Co-authorship network of co-authors of Guoqiu Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Guoqiu Wen. A scholar is included among the top collaborators of Guoqiu Wen 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 Guoqiu Wen. Guoqiu Wen 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 | 2 | |
| 3 | 2 | |
| 4 | 23 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 19 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 10 | |
| 16 | 24 | |
| 17 | 16 | |
| 18 | 7 | |
| 19 | 68 | |
| 20 | 38 |
About Guoqiu Wen
Guoqiu Wen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 40 papers that have together received 550 indexed citations. Recurring topics across this work include Face and Expression Recognition (24 papers), Advanced Clustering Algorithms Research (10 papers) and Advanced Graph Neural Networks (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (221 citations), Artificial Intelligence (306 citations) and Management Science and Operations Research (105 citations). Guoqiu Wen has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Yonghua Zhu, Zhaowen Li, Ningxin Xie, Wei Zheng, Jiangzhang Gan, Xiaofeng Zhu, Wei He, Xiaohui Cheng, Rongyao Hu and Junbo Ma. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition and Neurocomputing.
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.