Yuping Shen
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Biomaterials top 10%
- Co-authors
- Hassan ForooshHuan YangJian-Zhong LiuGuohua XiaZhibo YanJames P. TamXiao‐Bin JiaFu-Xing Niu
- Topics
- Natural product bioactivities and synthesis (19 papers)Phytochemical compounds biological activities (10 papers)Microbial Metabolic Engineering and Bioproduction (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Applied PhysicsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yuping Shen
83 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 561
- Computer Vision and Pattern Recognition 146
- Biomedical Engineering 134
- Electrical and Electronic Engineering 128
- Biomaterials 102
Countries citing papers authored by Yuping Shen
This map shows the geographic impact of Yuping Shen'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 Yuping Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuping Shen more than expected).
Fields of papers citing papers by Yuping Shen
This network shows the impact of papers produced by Yuping Shen. 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 Yuping Shen. The network helps show where Yuping Shen may publish in the future.
Co-authorship network of co-authors of Yuping Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Yuping Shen. A scholar is included among the top collaborators of Yuping Shen 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 Yuping Shen. Yuping Shen 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 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 28 | |
| 9 | 30 | |
| 10 | 29 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 9 | |
| 14 | 16 | |
| 15 | 20 | |
| 16 | 38 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | 38 | |
| 20 | 49 |
About Yuping Shen
Yuping Shen is a scholar working on Pharmacology, Molecular Biology and Biochemistry, having authored 85 papers that have together received 1.1k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (19 papers), Phytochemical compounds biological activities (10 papers) and Microbial Metabolic Engineering and Bioproduction (9 papers). The work is most often cited by research in Pharmacology (99 citations), Molecular Biology (561 citations) and Biomaterials (102 citations). Yuping Shen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Hassan Foroosh, Huan Yang, Jian-Zhong Liu, Guohua Xia, Zhibo Yan, James P. Tam, Xiao‐Bin Jia, Fu-Xing Niu, Akram N. Alshawabkeh and Krishnanand Y. Maillacheruvu. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.