Chao Guo
- Health Informatics top 5%
- Physiology top 10%
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- Computer Graphics and Visualization Techniques 4
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- Advanced Vision and Imaging 6
- Generative Adversarial Networks and Image Synthesis 5
- Visual Attention and Saliency Detection 4
- Multimodal Machine Learning Applications 4
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- Aesthetic Perception and Analysis 5
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- Geological and Geochemical Analysis 5
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- Per- and polyfluoroalkyl substances research 4
- Cited by
- Health InformaticsCellular and Molecular NeuroscienceIndustrial and Manufacturing Engineering
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (2 papers)The Science of The Total Environment (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Chao Guo
48 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 147
- Health Informatics 27
- Cellular and Molecular Neuroscience 230
- Industrial and Manufacturing Engineering 111
- Physiology 260
- Computer Graphics and Computer-Aided Design 30
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
The 25 scholars most cited alongside Chao Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 7 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 29 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 13 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 13 | |
| 15 | 2021 | 11 | |
| 16 | 2019 | 27 | |
| 17 | 2014 | 1 | |
| 18 | 2013 | 17 | |
| 19 | 2002 | 417 | |
| 20 | Research of Bayes Accuracy Assessment Based on Stochastic Weighted Method | 2001 | 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), Generative Adversarial Networks and Image Synthesis (5 papers), Geological and Geochemical Analysis (5 papers), Visual Attention and Saliency Detection (4 papers), Computer Graphics and Visualization Techniques (4 papers), Multimodal Machine Learning Applications (4 papers) and Per- and polyfluoroalkyl substances research (4 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.