Benjamin Hou
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- MRI in cancer diagnosis 3
- Radiomics and Machine Learning in Medical Imaging 3
- COVID-19 diagnosis using AI 2
- Radiology practices and education 2
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- Topic Modeling 3
- Co-authors
- Bernhard Kainz (7 shared papers)Ronald M. Summers (7 shared papers)Daniel Rueckert (5 shared papers)Pritam Mukherjee (5 shared papers)Amir Alansary (4 shared papers)Ben Glocker (3 shared papers)Ozan Oktay (2 shared papers)Yuanwei Li (1 shared paper)
- Journals
- Radiology (4 papers)IEEE Transactions on Medical Imaging (2 papers)Biomedical Optics Express (1 paper)International Journal of Computer Assisted Radiology and Surgery (1 paper)Medical Image Analysis (1 paper)
- Partner nations
- United KingdomUnited StatesSouth Korea
In The Last Decade
Benjamin Hou
16 papers receiving 307 citations
Peers
Comparison fields: 5 of 67
- Health Informatics 58
- Radiology, Nuclear Medicine and Imaging 131
- Computer Vision and Pattern Recognition 77
- Artificial Intelligence 111
- Pediatrics, Perinatology and Child Health 48
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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 96 | |
| 2 | 2023 | 63 | |
| 3 | 2018 | 54 | |
| 4 | 2019 | 34 | |
| 5 | 2022 | 17 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 8 | |
| 8 | 2017 | 7 | |
| 9 | 2024 | 4 | |
| 10 | 2022 | 4 | |
| 11 | Standard Plane Localisation in 3D Fetal Ultrasound Using Network with Geometric and Image Loss | 2018 | 4 |
| 12 | Deep Pose Estimation for Image-Based Registration | 2018 | 4 |
| 13 | 2020 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2023 | 1 |
About Benjamin Hou
Benjamin Hou is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition, Pediatrics, Perinatology and Child Health and Health Informatics, having authored 16 papers that have together received 310 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (3 papers), Fetal and Pediatric Neurological Disorders (3 papers), MRI in cancer diagnosis (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Topic Modeling (3 papers), COVID-19 diagnosis using AI (2 papers), Medical Image Segmentation Techniques (2 papers) and Radiology practices and education (2 papers). The work is most often cited by research in Health Informatics (58 citations), Radiology, Nuclear Medicine and Imaging (131 citations), Computer Vision and Pattern Recognition (77 citations), Artificial Intelligence (111 citations) and Pediatrics, Perinatology and Child Health (48 citations). Benjamin Hou has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Bernhard Kainz, Ronald M. Summers, Daniel Rueckert, Pritam Mukherjee, Amir Alansary, Ben Glocker, Ozan Oktay, Yuanwei Li, Ghislain Vaillant and Loïc Le Folgoc. Their work appears in journals such as Radiology, IEEE Transactions on Medical Imaging, Biomedical Optics Express, International Journal of Computer Assisted Radiology and Surgery and Medical Image Analysis.
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.