Siyuan Chen
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Electronic, Optical and Magnetic Materials
- Artificial Intelligence top 10%
- Topics
- Advancements in Battery Materials (22 papers)Robotic Mechanisms and Dynamics (12 papers)Supercapacitor Materials and Fabrication (12 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionElectronic, Optical and Magnetic Materials
- Journals
- Journal of Power SourcesChemical Engineering JournalIEEE Transactions on Industrial Electronics
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Siyuan Chen
62 papers receiving 856 citations
Peers
Comparison fields: 5 of 96
- Control and Systems Engineering 336
- Electrical and Electronic Engineering 279
- Computer Vision and Pattern Recognition 171
- Electronic, Optical and Magnetic Materials 129
- Artificial Intelligence 93
Countries citing papers authored by Siyuan Chen
This map shows the geographic impact of Siyuan 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 Siyuan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siyuan Chen more than expected).
Fields of papers citing papers by Siyuan Chen
This network shows the impact of papers produced by Siyuan 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 Siyuan Chen. The network helps show where Siyuan Chen may publish in the future.
Co-authorship network of co-authors of Siyuan Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Siyuan Chen. A scholar is included among the top collaborators of Siyuan 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 Siyuan Chen. Siyuan 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 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 40 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 65 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 34 | |
| 20 | 9 |
About Siyuan Chen
Siyuan Chen is a scholar working on Control and Systems Engineering, Electronic, Optical and Magnetic Materials and Computer Vision and Pattern Recognition, having authored 63 papers that have together received 872 indexed citations. Recurring topics across this work include Advancements in Battery Materials (22 papers), Robotic Mechanisms and Dynamics (12 papers) and Supercapacitor Materials and Fabrication (12 papers). The work is most often cited by research in Control and Systems Engineering (336 citations), Computer Vision and Pattern Recognition (171 citations) and Electronic, Optical and Magnetic Materials (129 citations). Siyuan Chen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhijun Zhang, Shuai Li, Quan Kuang, Yinyan Zhang, Youzhong Dong, Qinghua Fan, Yanming Zhao, Xupeng Zhu, Yang Song and Ziyi Yan. Their work appears in journals such as Journal of Power Sources, Chemical Engineering Journal and IEEE Transactions on Industrial Electronics.
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.