Richard Du
Impact in
- Health Informatics top 10%
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 3
-
- Neuroscience and Neural Engineering 1
- Co-authors
- Suzanne L. Baker (2 shared papers)William J. Jagust (2 shared papers)Theresa M. Harrison (2 shared papers)Varut Vardhanabhuti (5 shared papers)Herbert Pang (2 shared papers)Anne Maaß (1 shared paper)Jenna N. Adams (1 shared paper)Joshua W. K. Ho (1 shared paper)
- Journals
- Nature Communications (1 paper)Frontiers in Aging Neuroscience (1 paper)Alzheimer s & Dementia (1 paper)Radiology Artificial Intelligence (1 paper)European Journal of Nuclear Medicine and Molecular Imaging (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Richard Du
8 papers receiving 256 citations
Peers
Comparison fields: 5 of 61
- Health Informatics 12
- Otorhinolaryngology 20
- Radiology, Nuclear Medicine and Imaging 91
- Psychiatry and Mental health 50
- Cognitive Neuroscience 57
Countries citing papers authored by Richard Du
This map shows the geographic impact of Richard Du'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 Richard Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Du more than expected).
Fields of papers citing papers by Richard Du
This network shows the impact of papers produced by Richard Du. 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 Richard Du. The network helps show where Richard Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Richard Du, 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 | 74 | |
| 2 | 2020 | 65 | |
| 3 | 2019 | 50 | |
| 4 | 2020 | 41 | |
| 5 | 2020 | 12 | |
| 6 | 2020 | 12 | |
| 7 | 3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks | 2020 | 2 |
| 8 | Improving concrete for enhanced pipeline protection | 2010 | 1 |
About Richard Du
Richard Du is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology and General Health Professions, having authored 8 papers that have together received 257 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Hermeneutics and Narrative Identity (1 paper), Alzheimer's disease research and treatments (1 paper), Neurological disorders and treatments (1 paper), Memory and Neural Mechanisms (1 paper), Aging, Elder Care, and Social Issues (1 paper), Neuroscience and Neural Engineering (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Health Informatics (12 citations), Otorhinolaryngology (20 citations), Radiology, Nuclear Medicine and Imaging (91 citations), Psychiatry and Mental health (50 citations) and Cognitive Neuroscience (57 citations). Richard Du has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Suzanne L. Baker, William J. Jagust, Theresa M. Harrison, Varut Vardhanabhuti, Herbert Pang, Anne Maaß, Jenna N. Adams, Joshua W. K. Ho, Chenyi Xie and Elaine Lee. Their work appears in journals such as Nature Communications, Frontiers in Aging Neuroscience, Alzheimer s & Dementia, Radiology Artificial Intelligence and European Journal of Nuclear Medicine and Molecular Imaging.
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.