Ji Chen
Impact in
- Pathology and Forensic Medicine top 10%
- Ophthalmology and Eye Disorders
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)Hui Ding (4 shared papers)Jiajia Yu (4 shared papers)Jing Bai (4 shared papers)Shouzhen Zeng (2 shared papers)Shuzhen Shi (1 shared paper)Long Ge (1 shared paper)
- Journals
- BMJ Open (2 papers)Computational Statistics & Data Analysis (2 papers)International Journal of Cancer (2 papers)Journal of Intelligent & Fuzzy Systems (1 paper)The Journal of Sexual Medicine (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ji Chen
38 papers receiving 660 citations
Peers
Comparison fields: 5 of 114
- Computational Mathematics 5
- Pathology and Forensic Medicine 111
- Ophthalmology 43
- Statistics and Probability 34
- Cardiology and Cardiovascular Medicine 74
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 115 | |
| 2 | 2015 | 104 | |
| 3 | 2015 | 61 | |
| 4 | 2009 | 49 | |
| 5 | 2021 | 38 | |
| 6 | 2010 | 32 | |
| 7 | 2014 | 29 | |
| 8 | 2018 | 28 | |
| 9 | 2015 | 22 | |
| 10 | 2021 | 19 | |
| 11 | 2016 | 18 | |
| 12 | 2014 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2008 | 13 | |
| 15 | 2019 | 11 | |
| 16 | 2012 | 11 | |
| 17 | 2018 | 9 | |
| 18 | 2016 | 8 | |
| 19 | 2014 | 8 | |
| 20 | 2021 | 7 |
About Ji Chen
Ji Chen is a scholar working on Statistics and Probability, Molecular Biology, Management Science and Operations Research, Economics and Econometrics and Pathology and Forensic Medicine, having authored 45 papers that have together received 675 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), Cardiac pacing and defibrillation studies (3 papers), Market Dynamics and Volatility (3 papers), Ophthalmology and Visual Impairment Studies (2 papers), Stochastic processes and financial applications (2 papers) and Ophthalmology and Eye Disorders (2 papers). The work is most often cited by research in Computational Mathematics (5 citations), Pathology and Forensic Medicine (111 citations), Ophthalmology (43 citations), Statistics and Probability (34 citations) and Cardiology and Cardiovascular Medicine (74 citations). Ji Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hui Zhu, Hu Liu, Hui Ding, Jiajia Yu, Jing Bai, Shouzhen Zeng, Shuzhen Shi, Long Ge, Jinhui Tian and Zhujun Fu. Their work appears in journals such as BMJ Open, Computational Statistics & Data Analysis, International Journal of Cancer, Journal of Intelligent & Fuzzy Systems and The Journal of Sexual Medicine.
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.