Frederick Au
Impact in
- Speech and Hearing top 5%
- Dysphagia Assessment and Management
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- Ultrasound Imaging and Elastography
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
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- MRI in cancer diagnosis 4
- Ultrasound Imaging and Elastography 3
- Radiomics and Machine Learning in Medical Imaging 1
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- Digital Radiography and Breast Imaging 4
- Co-authors
- Sandeep Ghai (14 shared papers)Pavel Crystal (3 shared papers)Hadas Moshonov (3 shared papers)Nasir Jaffer (1 shared paper)Catriona M. Steele (1 shared paper)Vivianne Freitas (10 shared papers)Harriette Kahn (1 shared paper)Supriya Kulkarni (10 shared papers)
In The Last Decade
Frederick Au
13 papers receiving 303 citations
Peers
Comparison fields: 5 of 36
- Speech and Hearing 48
- Radiology, Nuclear Medicine and Imaging 156
- Pulmonary and Respiratory Medicine 52
- Cancer Research 22
- Artificial Intelligence 45
Countries citing papers authored by Frederick Au
This map shows the geographic impact of Frederick Au'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 Frederick Au with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederick Au more than expected).
Fields of papers citing papers by Frederick Au
This network shows the impact of papers produced by Frederick Au. 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 Frederick Au. The network helps show where Frederick Au may publish in the future.
Co-authors
The 25 scholars most cited alongside Frederick Au, 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 | 2014 | 85 | |
| 2 | 2023 | 75 | |
| 3 | 2014 | 53 | |
| 4 | 2015 | 31 | |
| 5 | 2017 | 20 | |
| 6 | 2022 | 18 | |
| 7 | 2023 | 8 | |
| 8 | 2024 | 7 | |
| 9 | 2019 | 4 | |
| 10 | 2020 | 4 | |
| 11 | 2024 | 1 | |
| 12 | 2021 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2024 | 0 |
About Frederick Au
Frederick Au is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Surgery and Artificial Intelligence, having authored 15 papers that have together received 308 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (4 papers), Digital Radiography and Breast Imaging (4 papers), Ultrasound Imaging and Elastography (3 papers), Global Cancer Incidence and Screening (2 papers), AI in cancer detection (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Dysphagia Assessment and Management (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Speech and Hearing (48 citations), Radiology, Nuclear Medicine and Imaging (156 citations), Pulmonary and Respiratory Medicine (52 citations), Cancer Research (22 citations) and Artificial Intelligence (45 citations). Frederick Au has collaborated with scholars based in Canada, Israel and Germany. Frequent co-authors include Sandeep Ghai, Pavel Crystal, Hadas Moshonov, Nasir Jaffer, Catriona M. Steele, Vivianne Freitas, Harriette Kahn, Supriya Kulkarni, Fang‐I Lu and Karina Bukhanov. Their work appears in journals such as Breast Cancer Research and Treatment, Radiology, American Journal of Roentgenology, Journal of Ultrasound in Medicine and European Radiology.
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.