Che-Yu Lee
Impact in
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- Single-cell and spatial transcriptomics
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- Genomics and Chromatin Dynamics
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- Stock Market Forecasting Methods
Papers in
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- Single-cell and spatial transcriptomics 7
- Protein Structure and Dynamics 2
- Genomics and Chromatin Dynamics 1
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- Advanced Image Fusion Techniques 1
- Co-authors
- Pingchiang C. Lyu (2 shared papers)Chi‐Ching Lee (2 shared papers)Wei‐Cheng Lo (2 shared papers)Von‐Wun Soo (1 shared paper)Ziheng Duan (7 shared papers)Yang‐Wei Lin (1 shared paper)Jing Zhang (6 shared papers)Matthew J. Girgenti (4 shared papers)
- Journals
- Science (3 papers)PLoS Computational Biology (2 papers)Nucleic Acids Research (2 papers)Science Translational Medicine (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Che-Yu Lee
19 papers receiving 325 citations
Peers
Comparison fields: 5 of 34
- Molecular Biology 142
- Management Science and Operations Research 24
- Developmental Neuroscience 4
- Aging 2
- Biological Psychiatry 1
Countries citing papers authored by Che-Yu Lee
This map shows the geographic impact of Che-Yu Lee'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 Che-Yu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Che-Yu Lee more than expected).
Fields of papers citing papers by Che-Yu Lee
This network shows the impact of papers produced by Che-Yu Lee. 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 Che-Yu Lee. The network helps show where Che-Yu Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Che-Yu Lee, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 68 | |
| 2 | 2008 | 56 | |
| 3 | 2024 | 47 | |
| 4 | 2017 | 28 | |
| 5 | 2024 | 22 | |
| 6 | 2009 | 19 | |
| 7 | 2024 | 16 | |
| 8 | 2025 | 15 | |
| 9 | 2016 | 14 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 7 | |
| 12 | 2024 | 7 | |
| 13 | 2022 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 0 |
About Che-Yu Lee
Che-Yu Lee is a scholar working on Molecular Biology, Media Technology, Management Science and Operations Research, Clinical Psychology and Genetics, having authored 21 papers that have together received 333 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Protein Structure and Dynamics (2 papers), Advanced Image Fusion Techniques (1 paper), Genomics and Chromatin Dynamics (1 paper), Nanocluster Synthesis and Applications (1 paper), Stock Market Forecasting Methods (1 paper), Mosquito-borne diseases and control (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Molecular Biology (142 citations), Management Science and Operations Research (24 citations), Developmental Neuroscience (4 citations), Aging (2 citations) and Biological Psychiatry (1 citation). Che-Yu Lee has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Pingchiang C. Lyu, Chi‐Ching Lee, Wei‐Cheng Lo, Von‐Wun Soo, Ziheng Duan, Yang‐Wei Lin, Jing Zhang, Matthew J. Girgenti, Ahyeon Hwang and Min Xu. Their work appears in journals such as Science, PLoS Computational Biology, Nucleic Acids Research, Science Translational Medicine and Nature Communications.
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.