Yiyang Chen
- Control and Systems Engineering top 1%
- Mechanical Engineering top 5%
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Co-authors
- Hongfeng TaoVladimir StojanovićWojciech PaszkeChristopher FreemanZhihe ZhuangBing ChuHuizhong YangGuirong Weng
- Topics
- Iterative Learning Control Systems (37 papers)Advanced machining processes and optimization (28 papers)Advanced Surface Polishing Techniques (18 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Yiyang Chen
147 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Control and Systems Engineering 881
- Mechanical Engineering 534
- Computer Vision and Pattern Recognition 487
- Electrical and Electronic Engineering 368
- Artificial Intelligence 327
Countries citing papers authored by Yiyang Chen
This map shows the geographic impact of Yiyang Chen'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 Yiyang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiyang Chen more than expected).
Fields of papers citing papers by Yiyang Chen
This network shows the impact of papers produced by Yiyang Chen. 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 Yiyang Chen. The network helps show where Yiyang Chen may publish in the future.
Co-authorship network of co-authors of Yiyang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Yiyang Chen. A scholar is included among the top collaborators of Yiyang Chen 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 Yiyang Chen. Yiyang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 18 | |
| 17 | 7 | |
| 18 | 6 | |
| 19 | 6 | |
| 20 | 2 |
About Yiyang Chen
Yiyang Chen is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 172 papers that have together received 2.7k indexed citations. Recurring topics across this work include Iterative Learning Control Systems (37 papers), Advanced machining processes and optimization (28 papers) and Advanced Surface Polishing Techniques (18 papers). The work is most often cited by research in Control and Systems Engineering (881 citations), Computer Vision and Pattern Recognition (487 citations) and Industrial and Manufacturing Engineering (138 citations). Yiyang Chen has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Hongfeng Tao, Vladimir Stojanović, Wojciech Paszke, Christopher Freeman, Zhihe Zhuang, Bing Chu, Huizhong Yang, Guirong Weng, Peng Wang and Guina Wang. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and PLoS ONE.
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.