Fei Luo
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Advanced Vision and Imaging 14
- Image Enhancement Techniques 4
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- Bioinformatics and Genomic Networks 5
- Co-authors
- Wen Zhang (3 shared papers)Feng Liu (3 shared papers)Gang Tian (1 shared paper)Xiaohong Li (1 shared paper)Yanlin Chen (1 shared paper)Daoyuan Yu (1 shared paper)Fan Zhi (1 shared paper)Chunxia Xiao (16 shared papers)
- Journals
- BMC Bioinformatics (4 papers)The Visual Computer (3 papers)Computers & Graphics (2 papers)BMC Systems Biology (2 papers)Antiviral Research (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Fei Luo
41 papers receiving 772 citations
Fei Luo's Hit Papers
Peers
Comparison fields: 5 of 95
- Computational Theory and Mathematics 238
- Computer Graphics and Computer-Aided Design 29
- Computer Vision and Pattern Recognition 157
- Toxicology 21
- Control and Systems Engineering 148
Countries citing papers authored by Fei Luo
This map shows the geographic impact of Fei Luo'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 Fei Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Luo more than expected).
Fields of papers citing papers by Fei Luo
This network shows the impact of papers produced by Fei Luo. 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 Fei Luo. The network helps show where Fei Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Luo, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data Hit paper breakdown → | 2017 | 252 |
| 2 | 2003 | 173 | |
| 3 | 2016 | 69 | |
| 4 | 2018 | 34 | |
| 5 | 2022 | 32 | |
| 6 | 2014 | 23 | |
| 7 | 2015 | 18 | |
| 8 | 2019 | 14 | |
| 9 | 2010 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2021 | 12 | |
| 12 | 2020 | 11 | |
| 13 | 2021 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2019 | 10 | |
| 16 | 2019 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2016 | 8 | |
| 19 | 2008 | 7 | |
| 20 | 2021 | 7 |
About Fei Luo
Fei Luo is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Media Technology, having authored 44 papers that have together received 793 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (14 papers), Image Processing Techniques and Applications (5 papers), COVID-19 diagnosis using AI (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Bioinformatics and Genomic Networks (5 papers), Robotics and Sensor-Based Localization (4 papers), Computer Graphics and Visualization Techniques (4 papers) and Image Enhancement Techniques (4 papers). The work is most often cited by research in Computational Theory and Mathematics (238 citations), Computer Graphics and Computer-Aided Design (29 citations), Computer Vision and Pattern Recognition (157 citations), Toxicology (21 citations) and Control and Systems Engineering (148 citations). Fei Luo has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Wen Zhang, Feng Liu, Gang Tian, Xiaohong Li, Yanlin Chen, Daoyuan Yu, Fan Zhi, Chunxia Xiao, Juan Liu and Longqiang Luo. Their work appears in journals such as BMC Bioinformatics, The Visual Computer, Computers & Graphics, BMC Systems Biology and Antiviral Research.
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.