Cheng Yan
Impact in
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- Computational Drug Discovery Methods
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Machine Learning in Bioinformatics 7
- Gut microbiota and health 5
- Bioinformatics and Genomic Networks 4
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- Advanced Image and Video Retrieval Techniques 7
- Image Retrieval and Classification Techniques 6
- Co-authors
- Jianxin Wang (19 shared papers)Fang‐Xiang Wu (14 shared papers)Guihua Duan (17 shared papers)Yi Pan (7 shared papers)Xiao Bai (6 shared papers)Jun Zhou (6 shared papers)Edwin R. Hancock (3 shared papers)Zhongjian Cheng (1 shared paper)
- Journals
- IEEE/ACM Transactions on Computational Biology and Bioinformatics (8 papers)BMC Bioinformatics (4 papers)Bioinformatics (2 papers)Journal of Computational Biology (1 paper)Frontiers in Neurorobotics (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Cheng Yan
48 papers receiving 880 citations
Peers
Comparison fields: 5 of 111
- Computational Theory and Mathematics 218
- Cancer Research 177
- Molecular Biology 511
- Computer Vision and Pattern Recognition 136
- Pharmacology 35
Countries citing papers authored by Cheng Yan
This map shows the geographic impact of Cheng Yan'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 Cheng Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Yan more than expected).
Fields of papers citing papers by Cheng Yan
This network shows the impact of papers produced by Cheng Yan. 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 Cheng Yan. The network helps show where Cheng Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng Yan, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 91 | |
| 2 | 2018 | 89 | |
| 3 | 2021 | 75 | |
| 4 | 2017 | 74 | |
| 5 | 2017 | 66 | |
| 6 | 2019 | 59 | |
| 7 | 2020 | 56 | |
| 8 | 2019 | 29 | |
| 9 | 2022 | 28 | |
| 10 | 2019 | 26 | |
| 11 | 2020 | 24 | |
| 12 | 2019 | 24 | |
| 13 | 2019 | 23 | |
| 14 | 2017 | 22 | |
| 15 | 2019 | 22 | |
| 16 | 2023 | 22 | |
| 17 | 2018 | 18 | |
| 18 | 2022 | 17 | |
| 19 | 2019 | 13 | |
| 20 | 2020 | 12 |
About Cheng Yan
Cheng Yan is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Cancer Research and Artificial Intelligence, having authored 51 papers that have together received 886 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Machine Learning in Bioinformatics (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers), Image Retrieval and Classification Techniques (6 papers), Gut microbiota and health (5 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Computational Theory and Mathematics (218 citations), Cancer Research (177 citations), Molecular Biology (511 citations), Computer Vision and Pattern Recognition (136 citations) and Pharmacology (35 citations). Cheng Yan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jianxin Wang, Fang‐Xiang Wu, Guihua Duan, Yi Pan, Xiao Bai, Jun Zhou, Edwin R. Hancock, Zhongjian Cheng, Wei Lan and Peng Ni. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, BMC Bioinformatics, Bioinformatics, Journal of Computational Biology and Frontiers in Neurorobotics.
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.