Shaoyun Chen
- Mechanical Engineering top 2%
- Signal Processing top 1%
- Biomedical Engineering top 5%
- Materials Chemistry top 10%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Anil K. JainYongchun ZhangNalini RathaKalle KaruSalil PrabhakarJianliang YuChenglong HuXingqing Yan
- Topics
- Carbon Dioxide Capture Technologies (24 papers)Wind and Air Flow Studies (17 papers)Conducting polymers and applications (14 papers)
- Journals
- Environmental Science & TechnologyIEEE Transactions on Pattern Analysis and Machine IntelligenceThe Journal of Comparative Neurology
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Shaoyun Chen
122 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 149
- Mechanical Engineering 772
- Signal Processing 739
- Biomedical Engineering 652
- Materials Chemistry 612
- Computer Vision and Pattern Recognition 578
Countries citing papers authored by Shaoyun Chen
This map shows the geographic impact of Shaoyun 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 Shaoyun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoyun Chen more than expected).
Fields of papers citing papers by Shaoyun Chen
This network shows the impact of papers produced by Shaoyun 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 Shaoyun Chen. The network helps show where Shaoyun Chen may publish in the future.
Co-authorship network of co-authors of Shaoyun Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Shaoyun Chen. A scholar is included among the top collaborators of Shaoyun 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 Shaoyun Chen. Shaoyun 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 | 2 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 27 | |
| 9 | 4 | |
| 10 | 28 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 23 | |
| 14 | 25 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | Drag and Torque Reducing Techniques on S-Shaped Directional Wells of the Rumaila Oilfield | 1 |
| 18 | Efficient NADPH regeneration based on co-expression of hexokinase and glucose-6-phosphate dehydrogenase | 1 |
| 19 | 1 | |
| 20 | Removal of H_2S of Low Concentration by Impregnated Carbon | 1 |
About Shaoyun Chen
Shaoyun Chen is a scholar working on Process Chemistry and Technology, Environmental Engineering and Catalysis, having authored 127 papers that have together received 3.6k indexed citations. Recurring topics across this work include Carbon Dioxide Capture Technologies (24 papers), Wind and Air Flow Studies (17 papers) and Conducting polymers and applications (14 papers). The work is most often cited by research in Signal Processing (739 citations), Process Chemistry and Technology (153 citations) and Catalysis (332 citations). Shaoyun Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Anil K. Jain, Yongchun Zhang, Nalini Ratha, Kalle Karu, Salil Prabhakar, Jianliang Yu, Chenglong Hu, Xingqing Yan, Chao Guo and Haroun Mahgerefteh. Their work appears in journals such as Environmental Science & Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Journal of Comparative Neurology.
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.