Yafeng Deng
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Bioinformatics and Genomic Networks
Papers in
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- Protein Structure and Dynamics 14
- Metabolomics and Mass Spectrometry Studies 8
- Chemical Synthesis and Analysis 8
- Bioinformatics and Genomic Networks 5
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- Computational Drug Discovery Methods 37
- Co-authors
- Tingjun Hou (38 shared papers)Chang‐Yu Hsieh (28 shared papers)Yu Kang (22 shared papers)Peichen Pan (16 shared papers)Hongyan Du (11 shared papers)Xujun Zhang (10 shared papers)Chao Shen (11 shared papers)Dongsheng Cao (10 shared papers)
In The Last Decade
Yafeng Deng
54 papers receiving 1.3k citations
Yafeng Deng's Hit Papers
Peers
Comparison fields: 5 of 122
- Computational Theory and Mathematics 558
- Molecular Biology 645
- Biophysics 45
- Computer Vision and Pattern Recognition 155
- Signal Processing 71
Countries citing papers authored by Yafeng Deng
This map shows the geographic impact of Yafeng Deng'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 Yafeng Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yafeng Deng more than expected).
Fields of papers citing papers by Yafeng Deng
This network shows the impact of papers produced by Yafeng Deng. 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 Yafeng Deng. The network helps show where Yafeng Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yafeng Deng, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 121 | |
| 2 | 2023 | 106 | |
| 3 | 2022 | 96 | |
| 4 | Efficient and accurate large library ligand docking with KarmaDock Hit paper breakdown → | 2023 | 96 |
| 5 | 2019 | 88 | |
| 6 | 2023 | 59 | |
| 7 | PROTAC-DB 3.0: an updated database of PROTACs with extended pharmacokinetic parameters Hit paper breakdown → | 2024 | 57 |
| 8 | 2023 | 48 | |
| 9 | 2021 | 44 | |
| 10 | 2023 | 41 | |
| 11 | Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model Hit paper breakdown → | 2025 | 40 |
| 12 | 2023 | 38 | |
| 13 | 2023 | 37 | |
| 14 | 2023 | 29 | |
| 15 | 2021 | 29 | |
| 16 | 2024 | 26 | |
| 17 | 2024 | 26 | |
| 18 | 2023 | 26 | |
| 19 | 2023 | 25 | |
| 20 | 2006 | 24 |
About Yafeng Deng
Yafeng Deng is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Computer Vision and Pattern Recognition and Pharmacology, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (37 papers), Machine Learning in Materials Science (17 papers), Protein Structure and Dynamics (14 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Chemical Synthesis and Analysis (8 papers), Face and Expression Recognition (5 papers), Bioinformatics and Genomic Networks (5 papers) and Microbial Natural Products and Biosynthesis (5 papers). The work is most often cited by research in Computational Theory and Mathematics (558 citations), Molecular Biology (645 citations), Biophysics (45 citations), Computer Vision and Pattern Recognition (155 citations) and Signal Processing (71 citations). Yafeng Deng has collaborated with scholars based in China, Macao and Poland. Frequent co-authors include Tingjun Hou, Chang‐Yu Hsieh, Yu Kang, Peichen Pan, Hongyan Du, Xujun Zhang, Chao Shen, Dongsheng Cao, Jike Wang and Dejun Jiang. Their work appears in journals such as Analytical Chemistry, Chemical Science, Journal of Chemical Information and Modeling, Nature Communications and Briefings in Bioinformatics.
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.