Chieh Hubert Lin
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- Generative Adversarial Networks and Image Synthesis 3
- Advanced Vision and Imaging 2
- Human Pose and Action Recognition 2
- Digital Media Forensic Detection 2
- Advanced Neural Network Applications 1
-
- Single-cell and spatial transcriptomics 5
- Gene expression and cancer classification 2
- Extracellular vesicles in disease 1
- Co-authors
- Ziv Bar‐Joseph (5 shared papers)Siddhartha Jain (1 shared paper)Hannah Kim (1 shared paper)Hamim Zafar (1 shared paper)Da-Cheng Juan (3 shared papers)Hwann-Tzong Chen (3 shared papers)Yu‐Sheng Chen (2 shared papers)Wei Wei (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Nature Communications (1 paper)PLoS Computational Biology (1 paper)Bioinformatics (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- United StatesTaiwanSouth Korea
In The Last Decade
Chieh Hubert Lin
13 papers receiving 409 citations
Peers
Comparison fields: 5 of 67
- Computer Graphics and Computer-Aided Design 33
- Biophysics 52
- Computer Vision and Pattern Recognition 132
- Cancer Research 51
- Molecular Biology 216
Countries citing papers authored by Chieh Hubert Lin
This map shows the geographic impact of Chieh Hubert Lin'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 Chieh Hubert Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chieh Hubert Lin more than expected).
Fields of papers citing papers by Chieh Hubert Lin
This network shows the impact of papers produced by Chieh Hubert Lin. 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 Chieh Hubert Lin. The network helps show where Chieh Hubert Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chieh Hubert Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 131 | |
| 2 | 2019 | 66 | |
| 3 | 2020 | 51 | |
| 4 | 2022 | 39 | |
| 5 | 2019 | 29 | |
| 6 | 2020 | 23 | |
| 7 | 2023 | 19 | |
| 8 | 2019 | 19 | |
| 9 | 2020 | 12 | |
| 10 | 2002 | 12 | |
| 11 | 2019 | 9 | |
| 12 | 2025 | 2 | |
| 13 | COCO-GAN: Conditional Coordinate Generative Adversarial Network | 2018 | 2 |
About Chieh Hubert Lin
Chieh Hubert Lin is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence, Computer Networks and Communications and Computational Mechanics, having authored 13 papers that have together received 414 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Gene expression and cancer classification (2 papers), Advanced Vision and Imaging (2 papers), Human Pose and Action Recognition (2 papers), Digital Media Forensic Detection (2 papers), Advanced Neural Network Applications (1 paper) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (33 citations), Biophysics (52 citations), Computer Vision and Pattern Recognition (132 citations), Cancer Research (51 citations) and Molecular Biology (216 citations). Chieh Hubert Lin has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Ziv Bar‐Joseph, Siddhartha Jain, Hannah Kim, Hamim Zafar, Da-Cheng Juan, Hwann-Tzong Chen, Yu‐Sheng Chen, Wei Wei, Jun Ding and Ming–Hsuan Yang. Their work appears in journals such as Nucleic Acids Research, Nature Communications, PLoS Computational Biology, Bioinformatics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.