Yuan Guo
- Control and Systems Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Mechanical Engineering
- Co-authors
- Kai WuNan WangJie HuYinghong PengShida LiuZhongsheng HouShangtai JinYu Sun
- Topics
- Digital Transformation in Industry (5 papers)Engineering Technology and Methodologies (3 papers)Iterative Learning Control Systems (3 papers)
- Cited by
- Industrial and Manufacturing EngineeringControl and Systems EngineeringManagement of Technology and Innovation
- Journals
- SHILAP Revista de lepidopterologíaAdvanced Functional MaterialsIEEE Transactions on Automatic Control
In The Last Decade
Yuan Guo
37 papers receiving 437 citations
Peers
Comparison fields: 5 of 99
- Control and Systems Engineering 105
- Industrial and Manufacturing Engineering 82
- Biomedical Engineering 74
- Electrical and Electronic Engineering 65
- Mechanical Engineering 62
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 of co-authors of Yuan Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Guo. A scholar is included among the top collaborators of Yuan 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 Yuan Guo. Yuan 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 | 6 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 38 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 14 | |
| 18 | 43 | |
| 19 | A broom-type model for predicting incremental proved reserves | 3 |
| 20 | The Theory and Method of Measuring Geometrical Errors of Complex Surface on CMMS | 1 |
About Yuan Guo
Yuan Guo is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Rehabilitation, having authored 42 papers that have together received 467 indexed citations. Recurring topics across this work include Digital Transformation in Industry (5 papers), Engineering Technology and Methodologies (3 papers) and Iterative Learning Control Systems (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (82 citations), Control and Systems Engineering (105 citations) and Management of Technology and Innovation (18 citations). Yuan Guo has collaborated with scholars based in China, Cyprus and Hong Kong. Frequent co-authors include Kai Wu, Nan Wang, Jie Hu, Yinghong Peng, Shida Liu, Zhongsheng Hou, Shangtai Jin, Yu Sun, Wu‐Hua Chen and Wei Xing Zheng. Their work appears in journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and IEEE Transactions on Automatic Control.
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.