Shaofei Chen
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
- Pharmacology top 10%
- Microbial Natural Products and Biosynthesis
- Fungal Biology and Applications
Papers in
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- Natural product bioactivities and synthesis 5
-
- Reinforcement Learning in Robotics 9
- Co-authors
- Jing Chen (15 shared papers)Lincheng Shen (8 shared papers)Libo Zhao (1 shared paper)Jialing Wang (1 shared paper)Xiaomin Wang (1 shared paper)Haifeng Wang (14 shared papers)Gang Chen (14 shared papers)Chidan Wan (3 shared papers)
- Journals
- Journal of Asian Natural Products Research (7 papers)Electronics (4 papers)Physical review. C (3 papers)Journal of Gastrointestinal Surgery (2 papers)Chinese Journal of Natural Medicines (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Shaofei Chen
63 papers receiving 705 citations
Peers
Comparison fields: 5 of 125
- Hepatology 70
- Pharmacology 110
- Cancer Research 89
- Pharmacology 49
- Biomaterials 53
Countries citing papers authored by Shaofei Chen
This map shows the geographic impact of Shaofei 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 Shaofei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaofei Chen more than expected).
Fields of papers citing papers by Shaofei Chen
This network shows the impact of papers produced by Shaofei 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 Shaofei Chen. The network helps show where Shaofei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaofei Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 101 | |
| 2 | 2018 | 67 | |
| 3 | 2010 | 44 | |
| 4 | 2016 | 39 | |
| 5 | 2010 | 35 | |
| 6 | 2015 | 28 | |
| 7 | 2020 | 24 | |
| 8 | 2017 | 22 | |
| 9 | 2013 | 19 | |
| 10 | 2016 | 18 | |
| 11 | 2018 | 17 | |
| 12 | 2013 | 17 | |
| 13 | 2017 | 15 | |
| 14 | 2020 | 15 | |
| 15 | 2016 | 14 | |
| 16 | 2017 | 14 | |
| 17 | 2015 | 13 | |
| 18 | 2016 | 13 | |
| 19 | 2016 | 13 | |
| 20 | 2016 | 12 |
About Shaofei Chen
Shaofei Chen is a scholar working on Molecular Biology, Artificial Intelligence, Pharmacology, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 69 papers that have together received 719 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (10 papers), Reinforcement Learning in Robotics (9 papers), Fungal Biology and Applications (8 papers), Phytochemistry and Bioactive Compounds (7 papers), Robotic Path Planning Algorithms (6 papers), Quantum Chromodynamics and Particle Interactions (6 papers), Natural product bioactivities and synthesis (5 papers) and Guidance and Control Systems (5 papers). The work is most often cited by research in Hepatology (70 citations), Pharmacology (110 citations), Cancer Research (89 citations), Pharmacology (49 citations) and Biomaterials (53 citations). Shaofei Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jing Chen, Lincheng Shen, Libo Zhao, Jialing Wang, Xiaomin Wang, Haifeng Wang, Gang Chen, Chidan Wan, Yue‐Hu Pei and Ping Fan. Their work appears in journals such as Journal of Asian Natural Products Research, Electronics, Physical review. C, Journal of Gastrointestinal Surgery and Chinese Journal of Natural Medicines.
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.