Cen Wan
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
Papers in
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- Bioinformatics and Genomic Networks 13
- Gene expression and cancer classification 7
- Machine Learning in Bioinformatics 7
- Single-cell and spatial transcriptomics 3
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- Bayesian Modeling and Causal Inference 4
- Machine Learning and Data Classification 3
- Co-authors
- David T. Jones (4 shared papers)Alex A. Freitas (6 shared papers)Domenico Cozzetto (2 shared papers)Rui Fa (2 shared papers)João Pedro de Magalhães (2 shared papers)Diogo Barardo (1 shared paper)Chenhao Yang (1 shared paper)Daniel Thornton (1 shared paper)
- Journals
- PLoS ONE (2 papers)Bioinformatics (1 paper)Human Molecular Genetics (1 paper)Artificial Intelligence Review (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United KingdomGermanyPortugal
In The Last Decade
Cen Wan
24 papers receiving 306 citations
Peers
Comparison fields: 5 of 82
- Aging 50
- Molecular Biology 183
- Health Information Management 10
- Neuropsychology and Physiological Psychology 3
- Computational Theory and Mathematics 31
Countries citing papers authored by Cen Wan
This map shows the geographic impact of Cen Wan'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 Cen Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cen Wan more than expected).
Fields of papers citing papers by Cen Wan
This network shows the impact of papers produced by Cen Wan. 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 Cen Wan. The network helps show where Cen Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Cen Wan, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 68 | |
| 2 | 2020 | 58 | |
| 3 | 2018 | 53 | |
| 4 | 2014 | 30 | |
| 5 | 2017 | 27 | |
| 6 | 2019 | 13 | |
| 7 | 2013 | 12 | |
| 8 | 2015 | 10 | |
| 9 | 2017 | 8 | |
| 10 | 2018 | 6 | |
| 11 | 2018 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 3 | |
| 14 | Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces. | 2020 | 2 |
| 15 | 2023 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 1 |
About Cen Wan
Cen Wan is a scholar working on Molecular Biology, Artificial Intelligence, Aging, Information Systems and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 309 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (13 papers), Gene expression and cancer classification (7 papers), Machine Learning in Bioinformatics (7 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Bayesian Modeling and Causal Inference (4 papers), Single-cell and spatial transcriptomics (3 papers), Machine Learning and Data Classification (3 papers) and Nutrition, Genetics, and Disease (2 papers). The work is most often cited by research in Aging (50 citations), Molecular Biology (183 citations), Health Information Management (10 citations), Neuropsychology and Physiological Psychology (3 citations) and Computational Theory and Mathematics (31 citations). Cen Wan has collaborated with scholars based in United Kingdom, Germany and Portugal. Frequent co-authors include David T. Jones, Alex A. Freitas, Domenico Cozzetto, Rui Fa, João Pedro de Magalhães, Diogo Barardo, Chenhao Yang, Daniel Thornton, Robi Tăcutu and Jingwei Wang. Their work appears in journals such as PLoS ONE, Bioinformatics, Human Molecular Genetics, Artificial Intelligence Review and PLoS Computational Biology.
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.