Jiewei Jiang
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Ophthalmology top 1%
- Retinal and Optic Conditions
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
Papers in
-
- Retinal Imaging and Analysis 18
- COVID-19 diagnosis using AI 3
-
- Retinal and Optic Conditions 12
- Glaucoma and retinal disorders 6
- Ocular Diseases and Behçet’s Syndrome 6
- Co-authors
- Xiyang Liu (7 shared papers)Zhenzhen Liu (6 shared papers)Dongni Wang (6 shared papers)Xiaohang Wu (7 shared papers)Erping Long (7 shared papers)Zhuoling Lin (7 shared papers)Haotian Lin (6 shared papers)Qianzhong Cao (4 shared papers)
In The Last Decade
Jiewei Jiang
43 papers receiving 913 citations
Jiewei Jiang's Hit Papers
Peers
Comparison fields: 5 of 119
- Health Informatics 91
- Ophthalmology 376
- Radiology, Nuclear Medicine and Imaging 475
- Experimental and Cognitive Psychology 116
- Health Information Management 38
Countries citing papers authored by Jiewei Jiang
This map shows the geographic impact of Jiewei Jiang'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 Jiewei Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiewei Jiang more than expected).
Fields of papers citing papers by Jiewei Jiang
This network shows the impact of papers produced by Jiewei Jiang. 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 Jiewei Jiang. The network helps show where Jiewei Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiewei Jiang, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 233 | |
| 2 | Deep learning for depression recognition with audiovisual cues: A review Hit paper breakdown → | 2021 | 145 |
| 3 | 2021 | 84 | |
| 4 | Artificial intelligence in ophthalmology: The path to the real-world clinic Hit paper breakdown → | 2023 | 78 |
| 5 | 2017 | 75 | |
| 6 | 2017 | 38 | |
| 7 | 2017 | 35 | |
| 8 | 2022 | 28 | |
| 9 | 2019 | 28 | |
| 10 | 2018 | 21 | |
| 11 | 2015 | 20 | |
| 12 | 2024 | 14 | |
| 13 | 2021 | 14 | |
| 14 | 2021 | 11 | |
| 15 | 2024 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2020 | 8 |
About Jiewei Jiang
Jiewei Jiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 49 papers that have together received 941 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (18 papers), Retinal and Optic Conditions (12 papers), Glaucoma and retinal disorders (6 papers), Ocular Diseases and Behçet’s Syndrome (6 papers), Emotion and Mood Recognition (4 papers), COVID-19 diagnosis using AI (3 papers), Mental Health via Writing (3 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Health Informatics (91 citations), Ophthalmology (376 citations), Radiology, Nuclear Medicine and Imaging (475 citations), Experimental and Cognitive Psychology (116 citations) and Health Information Management (38 citations). Jiewei Jiang has collaborated with scholars based in China, Sweden and Czechia. Frequent co-authors include Xiyang Liu, Zhenzhen Liu, Dongni Wang, Xiaohang Wu, Erping Long, Zhuoling Lin, Haotian Lin, Qianzhong Cao, Xiaoyan Li and Shanjun Wu. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Information Fusion, npj Digital Medicine, iScience and BioMedical Engineering OnLine.
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.