Danny Chen
Impact in
- Health Informatics top 10%
-
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Advanced Neural Network Applications 6
- Human Pose and Action Recognition 2
- Multimodal Machine Learning Applications 2
- Co-authors
- Liejun Wang (5 shared papers)Min Wang (1 shared paper)Jessie L.‐S. Au (4 shared papers)SaeHeum Song (3 shared papers)Raymond K. Wong (1 shared paper)M. Guillaume Wientjes (3 shared papers)William S. Denney (1 shared paper)Daniela J. Conrado (1 shared paper)
- Journals
- Electronics (4 papers)Journal of Visual Communication and Image Representation (2 papers)Symmetry (2 papers)Journal of Alzheimer s Disease (1 paper)British Journal of Ophthalmology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Danny Chen
31 papers receiving 402 citations
Peers
Comparison fields: 5 of 111
- Health Informatics 17
- Computer Vision and Pattern Recognition 119
- Radiology, Nuclear Medicine and Imaging 69
- Ophthalmology 24
- Neurology 16
Countries citing papers authored by Danny Chen
This map shows the geographic impact of Danny Chen'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 Danny Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Chen more than expected).
Fields of papers citing papers by Danny Chen
This network shows the impact of papers produced by Danny Chen. 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 Danny Chen. The network helps show where Danny Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Danny Chen, 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 | 2023 | 83 | |
| 2 | 2022 | 54 | |
| 3 | 2023 | 49 | |
| 4 | Phase I study of low-dose suramin as a chemosensitizer in patients with advanced non-small cell lung cancer. | 2003 | 32 |
| 5 | 2014 | 28 | |
| 6 | 2005 | 23 | |
| 7 | 2019 | 17 | |
| 8 | 2019 | 15 | |
| 9 | 2021 | 13 | |
| 10 | Optimizing the lazy DFA approach for XML stream processing | 2004 | 13 |
| 11 | 2024 | 8 | |
| 12 | 2024 | 8 | |
| 13 | 2006 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2012 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2013 | 5 | |
| 20 | 2024 | 4 |
About Danny Chen
Danny Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Plant Science, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 414 indexed citations. Recurring topics across this work include Smart Agriculture and AI (7 papers), Advanced Neural Network Applications (6 papers), Date Palm Research Studies (4 papers), Retinal Imaging and Analysis (3 papers), Remote Sensing in Agriculture (3 papers), Plant Disease Management Techniques (3 papers), Human Pose and Action Recognition (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Health Informatics (17 citations), Computer Vision and Pattern Recognition (119 citations), Radiology, Nuclear Medicine and Imaging (69 citations), Ophthalmology (24 citations) and Neurology (16 citations). Danny Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Liejun Wang, Min Wang, Jessie L.‐S. Au, SaeHeum Song, Raymond K. Wong, M. Guillaume Wientjes, William S. Denney, Daniela J. Conrado, Kaori Ito and Yiyu Shi. Their work appears in journals such as Electronics, Journal of Visual Communication and Image Representation, Symmetry, Journal of Alzheimer s Disease and British Journal of Ophthalmology.
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.