Feng Su
Impact in
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- Tryptophan and brain disorders
Papers in
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- Cancer-related gene regulation 2
- Glycosylation and Glycoproteins Research 1
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- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Zu‐Guo Yu (1 shared paper)Jiafu Ji (3 shared papers)Fu-Yao Ren (1 shared paper)Yajie Hu (3 shared papers)Peijiang Yuan (6 shared papers)Jianmin Li (3 shared papers)Yu Sun (2 shared papers)Xinya Zhao (2 shared papers)
- Journals
- Gastric Cancer (2 papers)Protein & Cell (1 paper)BMC Microbiology (1 paper)Neuroscience (1 paper)Mathematical Biosciences & Engineering (1 paper)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Feng Su
26 papers receiving 349 citations
Peers
Comparison fields: 5 of 116
- Biological Psychiatry 23
- Health Informatics 8
- Modeling and Simulation 27
- Radiology, Nuclear Medicine and Imaging 65
- Artificial Intelligence 68
Countries citing papers authored by Feng Su
This map shows the geographic impact of Feng Su'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 Feng Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Su more than expected).
Fields of papers citing papers by Feng Su
This network shows the impact of papers produced by Feng Su. 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 Feng Su. The network helps show where Feng Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Su, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 69 | |
| 2 | 2021 | 41 | |
| 3 | 2020 | 39 | |
| 4 | 1996 | 39 | |
| 5 | 2022 | 27 | |
| 6 | 2020 | 18 | |
| 7 | 2023 | 15 | |
| 8 | 2016 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2015 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2001 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2023 | 4 |
About Feng Su
Feng Su is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Control and Systems Engineering, Artificial Intelligence and Surgery, having authored 28 papers that have together received 358 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Cancer-related gene regulation (2 papers), Cell Image Analysis Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), AI in cancer detection (2 papers), Glycosylation and Glycoproteins Research (1 paper), Brain Tumor Detection and Classification (1 paper) and Flood Risk Assessment and Management (1 paper). The work is most often cited by research in Biological Psychiatry (23 citations), Health Informatics (8 citations), Modeling and Simulation (27 citations), Radiology, Nuclear Medicine and Imaging (65 citations) and Artificial Intelligence (68 citations). Feng Su has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Zu‐Guo Yu, Jiafu Ji, Fu-Yao Ren, Yajie Hu, Peijiang Yuan, Jianmin Li, Yu Sun, Xinya Zhao, Xiaoniu Liang and Qianhua Zhao. Their work appears in journals such as Gastric Cancer, Protein & Cell, BMC Microbiology, Neuroscience and Mathematical Biosciences & Engineering.
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.