Patrick Then
Impact in
- Structural Biology top 10%
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- Artificial Intelligence in Healthcare
Papers in
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- Advanced Steganography and Watermarking Techniques 4
- Face recognition and analysis 4
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- Topic Modeling 4
- AI in cancer detection 4
- Co-authors
- Valliappan Raman (26 shared papers)Biju Issac (2 shared papers)Manas K. Haldar (2 shared papers)Putra Sumari (2 shared papers)Rainer Heintzmann (4 shared papers)Caslon Chua (6 shared papers)Ronny Förster (1 shared paper)Benedict Diederich (1 shared paper)
In The Last Decade
Patrick Then
58 papers receiving 386 citations
Peers
Comparison fields: 5 of 92
- Structural Biology 14
- Health Information Management 28
- Biophysics 34
- Computer Vision and Pattern Recognition 98
- Health Informatics 6
Countries citing papers authored by Patrick Then
This map shows the geographic impact of Patrick Then'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 Patrick Then with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Then more than expected).
Fields of papers citing papers by Patrick Then
This network shows the impact of papers produced by Patrick Then. 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 Patrick Then. The network helps show where Patrick Then may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Then, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 41 | |
| 2 | 2019 | 41 | |
| 3 | 2017 | 28 | |
| 4 | 2023 | 26 | |
| 5 | 2010 | 25 | |
| 6 | 2016 | 23 | |
| 7 | 2021 | 17 | |
| 8 | 2020 | 16 | |
| 9 | 2022 | 13 | |
| 10 | 2019 | 11 | |
| 11 | 2016 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2011 | 8 | |
| 15 | 2017 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2011 | 6 | |
| 18 | 2014 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2018 | 5 |
About Patrick Then
Patrick Then is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Biomedical Engineering, having authored 66 papers that have together received 400 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (7 papers), Biomedical Text Mining and Ontologies (6 papers), Smart Agriculture and AI (5 papers), Advanced Steganography and Watermarking Techniques (4 papers), Biometric Identification and Security (4 papers), Topic Modeling (4 papers), AI in cancer detection (4 papers) and Face recognition and analysis (4 papers). The work is most often cited by research in Structural Biology (14 citations), Health Information Management (28 citations), Biophysics (34 citations), Computer Vision and Pattern Recognition (98 citations) and Health Informatics (6 citations). Patrick Then has collaborated with scholars based in Malaysia, Australia and Germany. Frequent co-authors include Valliappan Raman, Biju Issac, Manas K. Haldar, Putra Sumari, Rainer Heintzmann, Caslon Chua, Ronny Förster, Benedict Diederich, XinYing Chew and Ming Ha Lee. Their work appears in journals such as European Heart Journal, PLoS ONE, IEEE Access, Sensors and Organic & Biomolecular Chemistry.
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.