Chao Guo
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Industrial and Manufacturing Engineering top 5%
- Topics
- Advanced Vision and Imaging (6 papers)Aesthetic Perception and Analysis (5 papers)Generative Adversarial Networks and Image Synthesis (5 papers)
- Cited by
- Health InformaticsCellular and Molecular NeuroscienceIndustrial and Manufacturing Engineering
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaThe Science of The Total Environment
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Chao Guo
48 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 147
- Physiology 260
- Cellular and Molecular Neuroscience 230
- Molecular Biology 182
- Computer Vision and Pattern Recognition 161
- Industrial and Manufacturing Engineering 111
Countries citing papers authored by Chao Guo
This map shows the geographic impact of Chao Guo'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 Chao Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Guo more than expected).
Fields of papers citing papers by Chao Guo
This network shows the impact of papers produced by Chao Guo. 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 Chao Guo. The network helps show where Chao Guo may publish in the future.
Co-authorship network of co-authors of Chao Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Chao Guo. A scholar is included among the top collaborators of Chao Guo 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 Chao Guo. Chao Guo 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 | 7 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 14 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 29 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 13 | |
| 12 | 7 | |
| 13 | 4 | |
| 14 | 13 | |
| 15 | 11 | |
| 16 | 27 | |
| 17 | 1 | |
| 18 | 17 | |
| 19 | 417 | |
| 20 | Research of Bayes Accuracy Assessment Based on Stochastic Weighted Method | 0 |
About Chao Guo
Chao Guo is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Health Informatics, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Aesthetic Perception and Analysis (5 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). The work is most often cited by research in Health Informatics (27 citations), Cellular and Molecular Neuroscience (230 citations) and Industrial and Manufacturing Engineering (111 citations). Chao Guo has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Fei‐Yue Wang, Yue Lu, Gang Xiong, Ying‐Jin Lu, Xiuqin Shang, Lan Bao, Liang Yang, Qiuhua Huang, Xin Zhang and Gang Fu. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Science of The Total Environment.
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.