Guo Zhong
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Aerospace Engineering
- Computational Mechanics
- Topics
- Face and Expression Recognition (16 papers)Advanced Neural Network Applications (8 papers)Advanced Clustering Algorithms Research (8 papers)
- Journals
- Analytical ChemistryChemical Engineering JournalIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Guo Zhong
68 papers receiving 485 citations
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 222
- Artificial Intelligence 168
- Media Technology 56
- Aerospace Engineering 37
- Computational Mechanics 30
Countries citing papers authored by Guo Zhong
This map shows the geographic impact of Guo Zhong'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 Guo Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo Zhong more than expected).
Fields of papers citing papers by Guo Zhong
This network shows the impact of papers produced by Guo Zhong. 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 Guo Zhong. The network helps show where Guo Zhong may publish in the future.
Co-authorship network of co-authors of Guo Zhong
This figure shows the co-authorship network connecting the top 25 collaborators of Guo Zhong. A scholar is included among the top collaborators of Guo Zhong 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 Guo Zhong. Guo Zhong 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 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 35 | |
| 10 | 15 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 14 | |
| 15 | 6 | |
| 16 | 20 | |
| 17 | 2 | |
| 18 | 14 | |
| 19 | ON s-PERMUTABLY EMBEDDED AND WEAKLY c-NORMAL SUBGROUPS OF FINITE GROUPS | 1 |
| 20 | De-virus and rapid propagation of Zingiber officinale cv.xiaohuang ginger from Luoping,Yunnan,by the tissue culture of stem apices | 1 |
About Guo Zhong
Guo Zhong is a scholar working on Computational Mathematics, Discrete Mathematics and Combinatorics and Computer Vision and Pattern Recognition, having authored 87 papers that have together received 492 indexed citations. Recurring topics across this work include Face and Expression Recognition (16 papers), Advanced Neural Network Applications (8 papers) and Advanced Clustering Algorithms Research (8 papers). The work is most often cited by research in Computational Mathematics (9 citations), Computer Vision and Pattern Recognition (222 citations) and Media Technology (56 citations). Guo Zhong has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Chi‐Man Pun, Guoheng Huang, Xueming Yan, Xiaochen Yuan, Yihua Cao, Ting Shu, Xuanlong Ma, Ting Shu, Chao Ma and Guozhi Li. Their work appears in journals such as Analytical Chemistry, Chemical Engineering Journal and IEEE Transactions on Geoscience and Remote Sensing.
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.