Ji Chen
Impact in
- Ophthalmology top 5%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
Papers in
-
- Statistical Methods and Bayesian Inference 6
- Statistical Methods and Inference 5
- Advanced Statistical Methods and Models 4
- Co-authors
- Hui Zhu (5 shared papers)Hu Liu (5 shared papers)Jiajia Yu (4 shared papers)Hui Ding (4 shared papers)Jing Bai (4 shared papers)Shouzhen Zeng (2 shared papers)Shuzhen Shi (1 shared paper)Lun Li (1 shared paper)
- Journals
- Computational Statistics & Data Analysis (2 papers)International Journal of Cancer (2 papers)BMJ Open (2 papers)International Journal of Environmental Research and Public Health (1 paper)JACC. Cardiovascular imaging (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ji Chen
38 papers receiving 636 citations
Peers
Comparison fields: 5 of 119
- Ophthalmology 138
- Computational Mathematics 5
- Pathology and Forensic Medicine 116
- Radiology, Nuclear Medicine and Imaging 119
- Statistics and Probability 34
Countries citing papers authored by Ji Chen
This map shows the geographic impact of Ji 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 Ji Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Chen more than expected).
Fields of papers citing papers by Ji Chen
This network shows the impact of papers produced by Ji 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 Ji Chen. The network helps show where Ji Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 114 | |
| 2 | 2015 | 101 | |
| 3 | 2015 | 55 | |
| 4 | 2009 | 47 | |
| 5 | 2021 | 36 | |
| 6 | 2010 | 32 | |
| 7 | 2014 | 29 | |
| 8 | 2018 | 28 | |
| 9 | 2015 | 22 | |
| 10 | 2016 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2014 | 14 | |
| 13 | 2008 | 13 | |
| 14 | 2018 | 12 | |
| 15 | 2012 | 11 | |
| 16 | 2019 | 11 | |
| 17 | 2016 | 8 | |
| 18 | 2014 | 8 | |
| 19 | 2018 | 7 | |
| 20 | 2017 | 7 |
About Ji Chen
Ji Chen is a scholar working on Statistics and Probability, Molecular Biology, Ophthalmology, Epidemiology and Pathology and Forensic Medicine, having authored 44 papers that have together received 652 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (6 papers), Statistical Methods and Inference (5 papers), Advanced Statistical Methods and Models (4 papers), Ophthalmology and Visual Impairment Studies (4 papers), Cardiac Arrhythmias and Treatments (3 papers), Ophthalmology and Eye Disorders (3 papers), Cardiac pacing and defibrillation studies (3 papers) and Market Dynamics and Volatility (3 papers). The work is most often cited by research in Ophthalmology (138 citations), Computational Mathematics (5 citations), Pathology and Forensic Medicine (116 citations), Radiology, Nuclear Medicine and Imaging (119 citations) and Statistics and Probability (34 citations). Ji Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hui Zhu, Hu Liu, Jiajia Yu, Hui Ding, Jing Bai, Shouzhen Zeng, Shuzhen Shi, Lun Li, Ya Gao and Long Ge. Their work appears in journals such as Computational Statistics & Data Analysis, International Journal of Cancer, BMJ Open, International Journal of Environmental Research and Public Health and JACC. Cardiovascular imaging.
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.