Jiaming Hong
Impact in
- Ophthalmology top 5%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
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- Retinal Imaging and Analysis
Papers in
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- Machine Learning and ELM 3
- Domain Adaptation and Few-Shot Learning 3
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- Neonatal and fetal brain pathology 5
- Co-authors
- Shaopeng Liu (10 shared papers)Zhifeng Hao (3 shared papers)Zhiyong Lin (1 shared paper)Ying Zhou (1 shared paper)Xu Lu (1 shared paper)Heye Zhang (1 shared paper)Ye Liu (1 shared paper)Li Li (2 shared papers)
- Journals
- Photodiagnosis and Photodynamic Therapy (2 papers)Biomedical Signal Processing and Control (1 paper)Nanomaterials (1 paper)The European Physical Journal Special Topics (1 paper)Journal of Medical Internet Research (1 paper)
- Partner nations
- ChinaUnited KingdomFrance
In The Last Decade
Jiaming Hong
28 papers receiving 298 citations
Peers
Comparison fields: 5 of 77
- Ophthalmology 63
- Radiology, Nuclear Medicine and Imaging 81
- Health Informatics 5
- Health Information Management 15
- Pediatrics, Perinatology and Child Health 49
Countries citing papers authored by Jiaming Hong
This map shows the geographic impact of Jiaming Hong'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 Jiaming Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaming Hong more than expected).
Fields of papers citing papers by Jiaming Hong
This network shows the impact of papers produced by Jiaming Hong. 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 Jiaming Hong. The network helps show where Jiaming Hong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiaming Hong, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 50 | |
| 2 | 2022 | 40 | |
| 3 | 2021 | 39 | |
| 4 | 2021 | 30 | |
| 5 | 2022 | 18 | |
| 6 | 2023 | 16 | |
| 7 | 2020 | 15 | |
| 8 | 2020 | 14 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2019 | 7 | |
| 13 | 2014 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2021 | 6 | |
| 16 | TrSVM: A Transfer Learning Algorithm Using Domain Similarity | 2011 | 6 |
| 17 | 2022 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2017 | 3 |
About Jiaming Hong
Jiaming Hong is a scholar working on Artificial Intelligence, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 313 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (5 papers), Retinal Imaging and Analysis (4 papers), Retinal Diseases and Treatments (4 papers), Phonocardiography and Auscultation Techniques (4 papers), Machine Learning and ELM (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Glaucoma and retinal disorders (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Ophthalmology (63 citations), Radiology, Nuclear Medicine and Imaging (81 citations), Health Informatics (5 citations), Health Information Management (15 citations) and Pediatrics, Perinatology and Child Health (49 citations). Jiaming Hong has collaborated with scholars based in China, United Kingdom and France. Frequent co-authors include Shaopeng Liu, Zhifeng Hao, Zhiyong Lin, Ying Zhou, Xu Lu, Heye Zhang, Ye Liu, Li Li, Guiqing Liu and Liming Lu. Their work appears in journals such as Photodiagnosis and Photodynamic Therapy, Biomedical Signal Processing and Control, Nanomaterials, The European Physical Journal Special Topics and Journal of Medical Internet Research.
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.