Runyuan Guo
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Mechanical Engineering
- Industrial and Manufacturing Engineering top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- Han LiuGuo XieYoumin ZhangDing LiuXiao WangWenqing WangQingyuan ChenHe Zhang
- Topics
- Fault Detection and Control Systems (9 papers)Neural Networks and Applications (3 papers)Advanced Algorithms and Applications (3 papers)
- Cited by
- Industrial and Manufacturing EngineeringControl and Systems EngineeringArtificial Intelligence
- Journals
- SensorsIEEE Transactions on Industrial InformaticsIEEE Transactions on Instrumentation and Measurement
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Runyuan Guo
13 papers receiving 350 citations
Peers
Comparison fields: 5 of 49
- Control and Systems Engineering 152
- Artificial Intelligence 122
- Mechanical Engineering 108
- Industrial and Manufacturing Engineering 92
- Computer Vision and Pattern Recognition 48
Countries citing papers authored by Runyuan Guo
This map shows the geographic impact of Runyuan 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 Runyuan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runyuan Guo more than expected).
Fields of papers citing papers by Runyuan Guo
This network shows the impact of papers produced by Runyuan 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 Runyuan Guo. The network helps show where Runyuan Guo may publish in the future.
Co-authorship network of co-authors of Runyuan Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Runyuan Guo. A scholar is included among the top collaborators of Runyuan 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 Runyuan Guo. Runyuan 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 14 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 56 | |
| 11 | 60 | |
| 12 | 6 | |
| 13 | 35 | |
| 14 | 97 | |
| 15 | 27 | |
| 16 | 7 | |
| 17 | 43 |
About Runyuan Guo
Runyuan Guo is a scholar working on Control and Systems Engineering, Metals and Alloys and Industrial and Manufacturing Engineering, having authored 17 papers that have together received 357 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (9 papers), Neural Networks and Applications (3 papers) and Advanced Algorithms and Applications (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (92 citations), Control and Systems Engineering (152 citations) and Artificial Intelligence (122 citations). Runyuan Guo has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Han Liu, Guo Xie, Youmin Zhang, Ding Liu, Xiao Wang, Wenqing Wang, Qingyuan Chen, He Zhang, Yufan Zhao and Qing Liu. Their work appears in journals such as Sensors, IEEE Transactions on Industrial Informatics and IEEE Transactions on Instrumentation and Measurement.
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.