Jeffrey N. Chiang
- Radiology, Nuclear Medicine and Imaging top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 2%
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Co-authors
- Xiaowei DingZhihao WuNima TajbakhshQian LiMartin M. MontiAdrian M. OwenEvan S. LutkenhoffMatthew Rosenberg
- Topics
- Retinal Imaging and Analysis (5 papers)Machine Learning in Healthcare (5 papers)Retinal Diseases and Treatments (4 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Jeffrey N. Chiang
30 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Radiology, Nuclear Medicine and Imaging 581
- Artificial Intelligence 386
- Computer Vision and Pattern Recognition 364
- Cognitive Neuroscience 250
- Biomedical Engineering 161
Countries citing papers authored by Jeffrey N. Chiang
This map shows the geographic impact of Jeffrey N. Chiang'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 Jeffrey N. Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey N. Chiang more than expected).
Fields of papers citing papers by Jeffrey N. Chiang
This network shows the impact of papers produced by Jeffrey N. Chiang. 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 Jeffrey N. Chiang. The network helps show where Jeffrey N. Chiang may publish in the future.
Co-authorship network of co-authors of Jeffrey N. Chiang
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey N. Chiang. A scholar is included among the top collaborators of Jeffrey N. Chiang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey N. Chiang. Jeffrey N. Chiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 14 | |
| 13 | 14 | |
| 14 | 11 | |
| 15 | 13 | |
| 16 | 43 | |
| 17 | 48 | |
| 18 | 23 | |
| 19 | 13 | |
| 20 | 3 |
About Jeffrey N. Chiang
Jeffrey N. Chiang is a scholar working on Health Information Management, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (5 papers), Machine Learning in Healthcare (5 papers) and Retinal Diseases and Treatments (4 papers). The work is most often cited by research in Health Informatics (45 citations), Radiology, Nuclear Medicine and Imaging (581 citations) and Computer Vision and Pattern Recognition (364 citations). Jeffrey N. Chiang has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Xiaowei Ding, Zhihao Wu, Nima Tajbakhsh, Qian Li, Martin M. Monti, Qian Li, Adrian M. Owen, Evan S. Lutkenhoff, Matthew Rosenberg and Kunyu Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.
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.