D. Cheng
Impact in
- Health Informatics top 10%
- Ophthalmology top 5%
- Glaucoma and retinal disorders
Papers in
-
- Health Sciences Research and Education 2
-
- Health and Medical Research Impacts 2
- Co-authors
- Paul B. Greenberg (4 shared papers)Kevin Tang (2 shared papers)Felipe Kitamura (1 shared paper)Ian Pan (1 shared paper)David A. Borton (1 shared paper)Louisa I. Thompson (2 shared papers)Peter J. Snyder (2 shared papers)Gregory P. Van Stavern (1 shared paper)
- Journals
- Computational and Structural Biotechnology Journal (1 paper)Frontiers in Aging Neuroscience (1 paper)Radiology Artificial Intelligence (1 paper)Stroke (1 paper)Alzheimer s & Dementia (1 paper)
- Partner nations
- United StatesNetherlandsBrazil
In The Last Decade
D. Cheng
9 papers receiving 425 citations
Peers
Comparison fields: 5 of 95
- Health Informatics 19
- Ophthalmology 56
- Human-Computer Interaction 40
- Radiology, Nuclear Medicine and Imaging 76
- Computer Vision and Pattern Recognition 78
Countries citing papers authored by D. Cheng
This map shows the geographic impact of D. Cheng'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 D. Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Cheng more than expected).
Fields of papers citing papers by D. Cheng
This network shows the impact of papers produced by D. Cheng. 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 D. Cheng. The network helps show where D. Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Cheng, 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 | 162 | |
| 2 | 2020 | 112 | |
| 3 | 2020 | 69 | |
| 4 | 2017 | 47 | |
| 5 | 2018 | 15 | |
| 6 | 2019 | 14 | |
| 7 | 2019 | 9 | |
| 8 | 2022 | 3 | |
| 9 | Toxoplasma Neuroretinitis. | 2019 | 1 |
| 10 | 2020 | 0 |
About D. Cheng
D. Cheng is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 432 indexed citations. Recurring topics across this work include Health and Medical Research Impacts (2 papers), Health Sciences Research and Education (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Neuroscience and Neural Engineering (1 paper), Retinal Imaging and Analysis (1 paper), Retinal Diseases and Treatments (1 paper), Gene expression and cancer classification (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Health Informatics (19 citations), Ophthalmology (56 citations), Human-Computer Interaction (40 citations), Radiology, Nuclear Medicine and Imaging (76 citations) and Computer Vision and Pattern Recognition (78 citations). D. Cheng has collaborated with scholars based in United States, Netherlands and Brazil. Frequent co-authors include Paul B. Greenberg, Kevin Tang, Felipe Kitamura, Ian Pan, David A. Borton, Louisa I. Thompson, Peter J. Snyder, Gregory P. Van Stavern, Stephen Salloway and Jurre den Haan. Their work appears in journals such as Computational and Structural Biotechnology Journal, Frontiers in Aging Neuroscience, Radiology Artificial Intelligence, Stroke and Alzheimer s & Dementia.
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.