Yinan Guo
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques 5
- Metaheuristic Optimization Algorithms Research 5
- Anomaly Detection Techniques and Applications 4
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- Advanced Multi-Objective Optimization Algorithms 5
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- Face and Expression Recognition 3
- Control and Systems Engineering top 10%
- Adaptive Control of Nonlinear Systems 6
- Iterative Learning Control Systems 4
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- Distributed Control Multi-Agent Systems 3
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterología (2 papers)Expert Systems with Applications (4 papers)Sensors (1 paper)
- Partner nations
- ChinaUnited KingdomFinland
In The Last Decade
Yinan Guo
29 papers receiving 535 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 332
- Computational Theory and Mathematics 119
- Computer Vision and Pattern Recognition 114
- Control and Systems Engineering 95
- Industrial and Manufacturing Engineering 28
Countries citing papers authored by Yinan Guo
This map shows the geographic impact of Yinan 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 Yinan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinan Guo more than expected).
Fields of papers citing papers by Yinan Guo
This network shows the impact of papers produced by Yinan 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 Yinan Guo. The network helps show where Yinan Guo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yinan 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 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 9 | |
| 11 | 2024 | 3 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 14 | |
| 14 | 2022 | 10 | |
| 15 | 2021 | 42 | |
| 16 | 2021 | 0 | |
| 17 | 2021 | 26 | |
| 18 | Selection method for hyper-parameters of support vector regression by chaotic cultural algorithm | 2010 | 1 |
| 19 | Interactive genetic algorithms with multiple approximate models | 2008 | 4 |
| 20 | Design of Sliding Mode Controller for a Class of Networked Control Systems with Uncertainties | 2006 | 1 |
About Yinan Guo
Yinan Guo is a scholar working on Control and Systems Engineering, Artificial Intelligence and Health Information Management, having authored 40 papers that have together received 546 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (6 papers), Imbalanced Data Classification Techniques (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Anomaly Detection Techniques and Applications (4 papers), Iterative Learning Control Systems (4 papers), Face and Expression Recognition (3 papers) and Distributed Control Multi-Agent Systems (3 papers). The work is most often cited by research in Artificial Intelligence (332 citations), Computational Theory and Mathematics (119 citations) and Computer Vision and Pattern Recognition (114 citations). Yinan Guo has collaborated with scholars based in China, United Kingdom and Finland. Frequent co-authors include Xianfang Song, Zhang Yon, Yongli Wang, Xiaoyan Sun, Dunwei Gong, Zekuan Yu, Xiao‐Zhi Gao, Ying Hu, Guoyu Chen and Ning Cui. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.
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.