Hsin-Nan Lin
Impact in
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- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
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- Magnetic Bearings and Levitation Dynamics
Papers in
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- Machine Learning in Bioinformatics 9
- Genomics and Phylogenetic Studies 6
- Protein Structure and Dynamics 4
- Glycosylation and Glycoproteins Research 2
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- Electric Motor Design and Analysis 11
- Co-authors
- Wen‐Lian Hsu (7 shared papers)Ting‐Yi Sung (6 shared papers)Wen-Lian Hsu (4 shared papers)Ting-Yi Sung (4 shared papers)Shinn‐Ying Ho (2 shared papers)Wen−Lian Hsu (2 shared papers)Cheng-Tsung Liu (11 shared papers)Ching-Tai Chen (3 shared papers)
In The Last Decade
Hsin-Nan Lin
29 papers receiving 350 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 217
- Control and Systems Engineering 43
- Electronic, Optical and Magnetic Materials 32
- Plant Science 44
- Electrical and Electronic Engineering 63
Countries citing papers authored by Hsin-Nan Lin
This map shows the geographic impact of Hsin-Nan 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 Hsin-Nan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin-Nan Lin more than expected).
Fields of papers citing papers by Hsin-Nan Lin
This network shows the impact of papers produced by Hsin-Nan 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 Hsin-Nan Lin. The network helps show where Hsin-Nan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsin-Nan 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
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 50 | |
| 2 | 2009 | 44 | |
| 3 | 2005 | 38 | |
| 4 | 2010 | 31 | |
| 5 | 2020 | 31 | |
| 6 | 2021 | 22 | |
| 7 | 2017 | 21 | |
| 8 | 2017 | 17 | |
| 9 | 2018 | 14 | |
| 10 | 2020 | 14 | |
| 11 | 2017 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2019 | 10 | |
| 14 | 2016 | 10 | |
| 15 | 2004 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2011 | 3 | |
| 18 | 2006 | 3 | |
| 19 | 2018 | 3 | |
| 20 | 2025 | 2 |
About Hsin-Nan Lin
Hsin-Nan Lin is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Control and Systems Engineering, Electronic, Optical and Magnetic Materials and Organic Chemistry, having authored 30 papers that have together received 356 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (11 papers), Magnetic Bearings and Levitation Dynamics (9 papers), Magnetic Properties and Applications (9 papers), Machine Learning in Bioinformatics (9 papers), Genomics and Phylogenetic Studies (6 papers), Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Molecular Biology (217 citations), Control and Systems Engineering (43 citations), Electronic, Optical and Magnetic Materials (32 citations), Plant Science (44 citations) and Electrical and Electronic Engineering (63 citations). Hsin-Nan Lin has collaborated with scholars based in Taiwan, Japan and China. Frequent co-authors include Wen‐Lian Hsu, Ting‐Yi Sung, Wen-Lian Hsu, Ting-Yi Sung, Shinn‐Ying Ho, Wen−Lian Hsu, Cheng-Tsung Liu, Ching-Tai Chen, Wai-Kok Choong and Yu-Wei Hsu. Their work appears in journals such as IEEE Transactions on Industry Applications, BMC Genomics, Bioinformatics, Nucleic Acids Research and Cellular & Molecular Biology Letters.
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.