Guoqing Chao
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 2%
- Media Technology top 5%
- Urban Studies top 2%
- Signal Processing top 10%
- Co-authors
- Shiliang SunJinbo BiYuan LuoWeiping DingDianhui ChuYi JiangZhijin WangAnli Wang
- Topics
- Face and Expression Recognition (17 papers)Advanced Clustering Algorithms Research (8 papers)Machine Learning and Data Classification (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaInformation SciencesIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Guoqing Chao
30 papers receiving 960 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 611
- Artificial Intelligence 567
- Media Technology 118
- Urban Studies 77
- Signal Processing 55
Countries citing papers authored by Guoqing Chao
This map shows the geographic impact of Guoqing Chao'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 Guoqing Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoqing Chao more than expected).
Fields of papers citing papers by Guoqing Chao
This network shows the impact of papers produced by Guoqing Chao. 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 Guoqing Chao. The network helps show where Guoqing Chao may publish in the future.
Co-authorship network of co-authors of Guoqing Chao
This figure shows the co-authorship network connecting the top 25 collaborators of Guoqing Chao. A scholar is included among the top collaborators of Guoqing Chao 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 Guoqing Chao. Guoqing Chao 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 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 5 | |
| 10 | 30 | |
| 11 | 11 | |
| 12 | 41 | |
| 13 | 35 | |
| 14 | 3 | |
| 15 | A Survey on Multiview Clusteringbreakdown → | 272 |
| 16 | 63 | |
| 17 | 79 | |
| 18 | 99 | |
| 19 | 60 | |
| 20 | Multi-view maximum entropy discrimination | 42 |
About Guoqing Chao
Guoqing Chao is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 35 papers that have together received 975 indexed citations. Recurring topics across this work include Face and Expression Recognition (17 papers), Advanced Clustering Algorithms Research (8 papers) and Machine Learning and Data Classification (6 papers). The work is most often cited by research in Computational Mathematics (28 citations), Computer Vision and Pattern Recognition (611 citations) and Artificial Intelligence (567 citations). Guoqing Chao has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shiliang Sun, Jinbo Bi, Yuan Luo, Weiping Ding, Dianhui Chu, Yi Jiang, Dianhui Chu, Zhijin Wang, Anli Wang and Jin Lü. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.
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.