Benjamin Hou
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- COVID-19 diagnosis using AI 6
- MRI in cancer diagnosis 5
- Radiomics and Machine Learning in Medical Imaging 4
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- Medical Image Segmentation Techniques 7
- Advanced Neural Network Applications 4
- Co-authors
- Bernhard Kainz (18 shared papers)Jeremy Tan (4 shared papers)Daniel Rueckert (14 shared papers)Ronald M. Summers (11 shared papers)Hannah M. Schlüter (1 shared paper)Amir Alansary (9 shared papers)Ben Glocker (7 shared papers)Pritam Mukherjee (7 shared papers)
- Journals
- Radiology (4 papers)IEEE Transactions on Medical Imaging (3 papers)Lecture notes in computer science (11 papers)Abdominal Radiology (1 paper)JAMA Network Open (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Benjamin Hou
34 papers receiving 763 citations
Peers
Comparison fields: 5 of 81
- Health Informatics 67
- Radiology, Nuclear Medicine and Imaging 241
- Artificial Intelligence 337
- Computer Vision and Pattern Recognition 203
- Pediatrics, Perinatology and Child Health 73
Countries citing papers authored by Benjamin Hou
This map shows the geographic impact of Benjamin Hou'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 Benjamin Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Hou more than expected).
Fields of papers citing papers by Benjamin Hou
This network shows the impact of papers produced by Benjamin Hou. 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 Benjamin Hou. The network helps show where Benjamin Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Hou, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 132 | |
| 2 | 2022 | 121 | |
| 3 | 2023 | 84 | |
| 4 | 2018 | 67 | |
| 5 | 2017 | 49 | |
| 6 | 2022 | 42 | |
| 7 | 2021 | 41 | |
| 8 | 2019 | 41 | |
| 9 | 2021 | 41 | |
| 10 | 2022 | 27 | |
| 11 | 2018 | 14 | |
| 12 | 2020 | 11 | |
| 13 | 2024 | 11 | |
| 14 | 2018 | 9 | |
| 15 | 2017 | 8 | |
| 16 | 2018 | 8 | |
| 17 | 2024 | 8 | |
| 18 | 2024 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2024 | 6 |
About Benjamin Hou
Benjamin Hou is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Health Informatics and Pediatrics, Perinatology and Child Health, having authored 35 papers that have together received 774 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Fetal and Pediatric Neurological Disorders (6 papers), COVID-19 diagnosis using AI (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), MRI in cancer diagnosis (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Advanced Neural Network Applications (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Health Informatics (67 citations), Radiology, Nuclear Medicine and Imaging (241 citations), Artificial Intelligence (337 citations), Computer Vision and Pattern Recognition (203 citations) and Pediatrics, Perinatology and Child Health (73 citations). Benjamin Hou has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Bernhard Kainz, Jeremy Tan, Daniel Rueckert, Ronald M. Summers, Hannah M. Schlüter, Amir Alansary, Ben Glocker, Pritam Mukherjee, Ozan Oktay and Steven McDonagh. Their work appears in journals such as Radiology, IEEE Transactions on Medical Imaging, Lecture notes in computer science, Abdominal Radiology and JAMA Network Open.
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.