Yuan Guo
- Artificial Intelligence top 10%
- AI-based Problem Solving and Planning 5
- Bayesian Modeling and Causal Inference 5
- Analytical Chemistry top 10%
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- Data Mining Algorithms and Applications 6
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- Rough Sets and Fuzzy Logic 6
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- Particle Accelerators and Free-Electron Lasers 3
- Photonic and Optical Devices 3
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- Mechanical and Optical Resonators 3
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- UAV Applications and Optimization 3
- Journals
- PLoS ONE (1 paper)Water Resources Research (1 paper)Journal of the American Academy of Child & Adolescent Psychiatry (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yuan Guo
60 papers receiving 677 citations
Peers
Comparison fields: 5 of 133
- Computer Graphics and Computer-Aided Design 30
- Artificial Intelligence 157
- Analytical Chemistry 47
- Computer Vision and Pattern Recognition 95
- Industrial and Manufacturing Engineering 37
Countries citing papers authored by Yuan Guo
This map shows the geographic impact of Yuan 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 Yuan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Guo more than expected).
Fields of papers citing papers by Yuan Guo
This network shows the impact of papers produced by Yuan 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 Yuan Guo. The network helps show where Yuan Guo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuan 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 | 0 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 21 | |
| 12 | 2023 | 15 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2022 | 6 | |
| 17 | 2022 | 7 | |
| 18 | 2020 | 12 | |
| 19 | 2013 | 53 | |
| 20 | Economic assessment of large grid-connected wind farms — Avoided cost method | 1999 | 7 |
About Yuan Guo
Yuan Guo is a scholar working on Computer Graphics and Computer-Aided Design, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 67 papers that have together received 701 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (6 papers), Rough Sets and Fuzzy Logic (6 papers), AI-based Problem Solving and Planning (5 papers), Bayesian Modeling and Causal Inference (5 papers), Particle Accelerators and Free-Electron Lasers (3 papers), Mechanical and Optical Resonators (3 papers), Photonic and Optical Devices (3 papers) and UAV Applications and Optimization (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (30 citations), Artificial Intelligence (157 citations) and Analytical Chemistry (47 citations). Yuan Guo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yinghong Peng, Jie Hu, Man Leung Wong, Yue Gao, Jie Hu, Jianguo Xiao, Yingmin Tang, Zhouhui Lian, Yidong Huang and Zhanming Li. Their work appears in journals such as PLoS ONE, Water Resources Research and Journal of the American Academy of Child & Adolescent Psychiatry.
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.