Jien Chen
Impact in
- Global and Planetary Change top 10%
- Climate variability and models
- Hydrology and Drought Analysis
- Statistics and Probability top 5%
- Statistical Methods and Inference
Papers in
-
- Beetle Biology and Toxicology Studies 5
-
- Antimicrobial Peptides and Activities 4
- Co-authors
- Qi Lu (1 shared paper)Robert Lund (1 shared paper)Jaxk Reeves (1 shared paper)Xiaolan L. Wang (1 shared paper)Nicole A. Lazar (2 shared papers)Stanton Kok (5 shared papers)Chung Chui (5 shared papers)Fung Lau (5 shared papers)
- Journals
- International Journal of Molecular Medicine (4 papers)Bioorganic & Medicinal Chemistry Letters (1 paper)Journal of Computational and Graphical Statistics (1 paper)Journal of Applied Meteorology and Climatology (1 paper)Journal of nonparametric statistics (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Jien Chen
8 papers receiving 560 citations
Peers
Comparison fields: 5 of 114
- Global and Planetary Change 246
- Statistics and Probability 67
- Atmospheric Science 120
- Cancer Research 75
- Water Science and Technology 71
Countries citing papers authored by Jien Chen
This map shows the geographic impact of Jien 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 Jien Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jien Chen more than expected).
Fields of papers citing papers by Jien Chen
This network shows the impact of papers produced by Jien 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 Jien Chen. The network helps show where Jien Chen may publish in the future.
Co-authors
The 19 scholars most cited alongside Jien 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
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 453 | |
| 2 | 2006 | 32 | |
| 3 | 2006 | 26 | |
| 4 | 2006 | 21 | |
| 5 | 2011 | 21 | |
| 6 | 2006 | 13 | |
| 7 | 2006 | 12 | |
| 8 | 2010 | 6 |
About Jien Chen
Jien Chen is a scholar working on Cancer Research, Microbiology, Molecular Biology, Statistics and Probability and Small Animals, having authored 8 papers that have together received 584 indexed citations. Recurring topics across this work include Beetle Biology and Toxicology Studies (5 papers), Antimicrobial Peptides and Activities (4 papers), Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers), Insect Resistance and Genetics (2 papers), Climate Change and Health Impacts (1 paper), Climate variability and models (1 paper) and Infectious Diseases and Mycology (1 paper). The work is most often cited by research in Global and Planetary Change (246 citations), Statistics and Probability (67 citations), Atmospheric Science (120 citations), Cancer Research (75 citations) and Water Science and Technology (71 citations). Jien Chen has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Qi Lu, Robert Lund, Jaxk Reeves, Xiaolan L. Wang, Nicole A. Lazar, Stanton Kok, Chung Chui, Fung Lau, Kim Hung Lam and Raymond Wong. Their work appears in journals such as International Journal of Molecular Medicine, Bioorganic & Medicinal Chemistry Letters, Journal of Computational and Graphical Statistics, Journal of Applied Meteorology and Climatology and Journal of nonparametric statistics.
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.