Po‐Ting Lai
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
Papers in
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- Biomedical Text Mining and Ontologies 31
- Bioinformatics and Genomic Networks 1
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- Artificial Intelligence in Healthcare and Education 1
- Co-authors
- Zhiyong Lu (14 shared papers)Richard Tzong‐Han Tsai (16 shared papers)Ling Luo (10 shared papers)Chih-Hsuan Wei (11 shared papers)Qingyu Chen (5 shared papers)Hong-Jie Dai (9 shared papers)Shubo Tian (4 shared papers)Qiao Jin (3 shared papers)
- Journals
- Database (6 papers)Bioinformatics (6 papers)BMC Bioinformatics (5 papers)Journal of Biomedical Informatics (2 papers)Journal of Cheminformatics (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Po‐Ting Lai
34 papers receiving 798 citations
Peers
Comparison fields: 5 of 66
- Health Informatics 156
- Molecular Biology 476
- Artificial Intelligence 206
- Drug Discovery 1
- Statistics, Probability and Uncertainty 15
Countries citing papers authored by Po‐Ting Lai
This map shows the geographic impact of Po‐Ting Lai'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 Po‐Ting Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Po‐Ting Lai more than expected).
Fields of papers citing papers by Po‐Ting Lai
This network shows the impact of papers produced by Po‐Ting Lai. 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 Po‐Ting Lai. The network helps show where Po‐Ting Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Po‐Ting Lai, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 245 | |
| 2 | 2022 | 101 | |
| 3 | 2024 | 78 | |
| 4 | 2015 | 55 | |
| 5 | 2020 | 46 | |
| 6 | 2021 | 45 | |
| 7 | 2023 | 30 | |
| 8 | 2010 | 29 | |
| 9 | 2011 | 25 | |
| 10 | 2023 | 19 | |
| 11 | 2025 | 19 | |
| 12 | 2009 | 15 | |
| 13 | 2009 | 13 | |
| 14 | 2023 | 13 | |
| 15 | 2012 | 12 | |
| 16 | 2014 | 9 | |
| 17 | 2009 | 8 | |
| 18 | 2016 | 8 | |
| 19 | 2019 | 7 | |
| 20 | 2016 | 6 |
About Po‐Ting Lai
Po‐Ting Lai is a scholar working on Molecular Biology, Health Informatics, Artificial Intelligence, Information Systems and Nuclear Energy and Engineering, having authored 34 papers that have together received 829 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (31 papers), Artificial Intelligence in Healthcare and Education (1 paper), Information Retrieval and Search Behavior (1 paper), Natural Language Processing Techniques (1 paper), Machine Learning in Healthcare (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Health Informatics (156 citations), Molecular Biology (476 citations), Artificial Intelligence (206 citations), Drug Discovery (1 citation) and Statistics, Probability and Uncertainty (15 citations). Po‐Ting Lai has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Zhiyong Lu, Richard Tzong‐Han Tsai, Ling Luo, Chih-Hsuan Wei, Qingyu Chen, Hong-Jie Dai, Shubo Tian, Qiao Jin, Rezarta Islamaj and Zhiyong Lu. Their work appears in journals such as Database, Bioinformatics, BMC Bioinformatics, Journal of Biomedical Informatics and Journal of Cheminformatics.
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.