Tun‐Wen Pai
Impact in
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- Artificial Intelligence in Healthcare
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- Image Enhancement Techniques
- Advanced Image Processing Techniques
Papers in
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- Genomics and Phylogenetic Studies 16
- vaccines and immunoinformatics approaches 9
- RNA and protein synthesis mechanisms 9
- Glycosylation and Glycoproteins Research 7
- Protein Structure and Dynamics 6
- Bioinformatics and Genomic Networks 6
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- Medical Image Segmentation Techniques 6
- Co-authors
- Hao‐Teng Chang (21 shared papers)Hsin‐Wei Wang (6 shared papers)Mon-Chau Shie (1 shared paper)Shanq-Jang Ruan (1 shared paper)Chi‐Chia Sun (1 shared paper)Chien‐Ming Chen (17 shared papers)Chin‐Hwa Hu (14 shared papers)Ya‐Chi Lin (2 shared papers)
- Journals
- BMC Bioinformatics (7 papers)PLoS ONE (5 papers)BMC Genomics (5 papers)BMC Systems Biology (4 papers)BioMed Research International (3 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Tun‐Wen Pai
107 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 143
- Health Information Management 53
- Computer Vision and Pattern Recognition 210
- Health Informatics 12
- Media Technology 77
- Radiology, Nuclear Medicine and Imaging 154
Countries citing papers authored by Tun‐Wen Pai
This map shows the geographic impact of Tun‐Wen Pai'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 Tun‐Wen Pai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tun‐Wen Pai more than expected).
Fields of papers citing papers by Tun‐Wen Pai
This network shows the impact of papers produced by Tun‐Wen Pai. 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 Tun‐Wen Pai. The network helps show where Tun‐Wen Pai may publish in the future.
Co-authors
The 25 scholars most cited alongside Tun‐Wen Pai, 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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 132 | |
| 2 | 2011 | 70 | |
| 3 | 2011 | 36 | |
| 4 | 2020 | 35 | |
| 5 | 2013 | 34 | |
| 6 | 2010 | 33 | |
| 7 | 2014 | 32 | |
| 8 | 2017 | 32 | |
| 9 | 2006 | 31 | |
| 10 | 2014 | 30 | |
| 11 | 2017 | 29 | |
| 12 | 2002 | 23 | |
| 13 | 2008 | 21 | |
| 14 | 2019 | 20 | |
| 15 | 2014 | 19 | |
| 16 | 2021 | 19 | |
| 17 | 2023 | 18 | |
| 18 | 2018 | 18 | |
| 19 | 2015 | 17 | |
| 20 | 2017 | 17 |
About Tun‐Wen Pai
Tun‐Wen Pai is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Information Systems and Signal Processing, having authored 118 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (16 papers), vaccines and immunoinformatics approaches (9 papers), RNA and protein synthesis mechanisms (9 papers), Glycosylation and Glycoproteins Research (7 papers), Medical Image Segmentation Techniques (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Protein Structure and Dynamics (6 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Health Information Management (53 citations), Computer Vision and Pattern Recognition (210 citations), Health Informatics (12 citations), Media Technology (77 citations) and Radiology, Nuclear Medicine and Imaging (154 citations). Tun‐Wen Pai has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hao‐Teng Chang, Hsin‐Wei Wang, Mon-Chau Shie, Shanq-Jang Ruan, Chi‐Chia Sun, Chien‐Ming Chen, Chin‐Hwa Hu, Ya‐Chi Lin, Wen‐Shyong Tzou and Margaret Dah‐Tsyr Chang. Their work appears in journals such as BMC Bioinformatics, PLoS ONE, BMC Genomics, BMC Systems Biology and BioMed Research International.
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.