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
- Hu Liu (5 shared papers)Hui Zhu (5 shared papers)Hui Ding (4 shared papers)Jing Bai (4 shared papers)Jiajia Yu (4 shared papers)Xuejuan Chen (3 shared papers)Shouzhen Zeng (2 shared papers)Zhujun Fu (3 shared papers)
- Journals
- International Journal of Cancer (3 papers)BMJ Open (2 papers)Computational Statistics & Data Analysis (2 papers)JAMA Network Open (2 papers)Acta Histochemica (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ji Chen
43 papers receiving 736 citations
Peers
Comparison fields: 5 of 118
- Computational Mathematics 5
- Pathology and Forensic Medicine 115
- Ophthalmology 45
- Cardiology and Cardiovascular Medicine 92
- Statistics and Probability 35
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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 121 | |
| 2 | 2015 | 107 | |
| 3 | 2015 | 64 | |
| 4 | 2009 | 53 | |
| 5 | 2021 | 42 | |
| 6 | 2014 | 38 | |
| 7 | 2010 | 37 | |
| 8 | 2018 | 29 | |
| 9 | 2015 | 23 | |
| 10 | 2021 | 19 | |
| 11 | 2008 | 18 | |
| 12 | 2016 | 18 | |
| 13 | 2014 | 14 | |
| 14 | 2018 | 13 | |
| 15 | 2012 | 11 | |
| 16 | 2019 | 11 | |
| 17 | 2023 | 11 | |
| 18 | 2025 | 11 | |
| 19 | 2016 | 9 | |
| 20 | 2018 | 9 |
About Ji Chen
Ji Chen is a scholar working on Statistics and Probability, Management Science and Operations Research, Neurology, Rheumatology and Pathology and Forensic Medicine, having authored 50 papers that have together received 755 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (6 papers), Statistical Methods and Inference (5 papers), Long-Term Effects of COVID-19 (4 papers), Advanced Statistical Methods and Models (4 papers), Cardiac pacing and defibrillation studies (3 papers), Market Dynamics and Volatility (3 papers), Genetic Associations and Epidemiology (3 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Computational Mathematics (5 citations), Pathology and Forensic Medicine (115 citations), Ophthalmology (45 citations), Cardiology and Cardiovascular Medicine (92 citations) and Statistics and Probability (35 citations). Ji Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hu Liu, Hui Zhu, Hui Ding, Jing Bai, Jiajia Yu, Xuejuan Chen, Shouzhen Zeng, Zhujun Fu, Wenjuan Ma and Shuzhen Shi. Their work appears in journals such as International Journal of Cancer, BMJ Open, Computational Statistics & Data Analysis, JAMA Network Open and Acta Histochemica.
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.