Andy Lin
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human-Computer Interaction top 10%
Papers in
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- Metabolomics and Mass Spectrometry Studies 4
- Bacillus and Francisella bacterial research 4
- Advanced Biosensing Techniques and Applications 2
- Fungal and yeast genetics research 1
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- Advanced Proteomics Techniques and Applications 8
- Mass Spectrometry Techniques and Applications 5
- Co-authors
- Leonidas Guibas (1 shared paper)Xiaoye Jiang (1 shared paper)Bangpeng Yao (1 shared paper)Aditya Khosla (1 shared paper)Li Fei-Fei (1 shared paper)William Stafford Noble (5 shared papers)Leonardo Chavez (1 shared paper)Arash Abbasi (1 shared paper)
- Journals
- Journal of Proteome Research (6 papers)PLoS ONE (2 papers)Health Security (1 paper)Journal of Microbiological Methods (1 paper)PROTEOMICS (1 paper)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Andy Lin
17 papers receiving 799 citations
Andy Lin's Hit Papers
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 398
- Human-Computer Interaction 47
- Artificial Intelligence 210
- Spectroscopy 79
- Plant Science 167
Countries citing papers authored by Andy Lin
This map shows the geographic impact of Andy 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 Andy Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy Lin more than expected).
Fields of papers citing papers by Andy Lin
This network shows the impact of papers produced by Andy 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 Andy Lin. The network helps show where Andy Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Andy 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 | Human action recognition by learning bases of action attributes and parts Hit paper breakdown → | 2011 | 425 |
| 2 | 2017 | 227 | |
| 3 | 2021 | 46 | |
| 4 | 2014 | 27 | |
| 5 | 2022 | 17 | |
| 6 | 2015 | 17 | |
| 7 | 2018 | 15 | |
| 8 | 2018 | 12 | |
| 9 | 2021 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2015 | 8 | |
| 12 | 2017 | 7 | |
| 13 | 2024 | 5 | |
| 14 | 2017 | 5 | |
| 15 | 2019 | 4 | |
| 16 | 2014 | 3 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 |
About Andy Lin
Andy Lin is a scholar working on Molecular Biology, Spectroscopy, Genetics, Ecology and Clinical Biochemistry, having authored 19 papers that have together received 838 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Bacillus and Francisella bacterial research (4 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), Advanced Biosensing Techniques and Applications (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (398 citations), Human-Computer Interaction (47 citations), Artificial Intelligence (210 citations), Spectroscopy (79 citations) and Plant Science (167 citations). Andy Lin has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Leonidas Guibas, Xiaoye Jiang, Bangpeng Yao, Aditya Khosla, Li Fei-Fei, William Stafford Noble, Leonardo Chavez, Arash Abbasi, J. Steen Hoyer and Andrew N. Doust. Their work appears in journals such as Journal of Proteome Research, PLoS ONE, Health Security, Journal of Microbiological Methods and PROTEOMICS.
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.