Ci‐Ren Jiang
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
Papers in
-
- Statistical Methods and Inference 8
-
- Bayesian Methods and Mixture Models 3
- Co-authors
- Jane-Ling Wang (7 shared papers)James Brown (1 shared paper)Haiyan Huang (2 shared papers)Peter J. Bickel (1 shared paper)Jingyi Jessica Li (1 shared paper)John A. D. Aston (3 shared papers)Wei Yu (1 shared paper)James R. Carey (1 shared paper)
- Journals
- The Annals of Statistics (3 papers)Wiley Interdisciplinary Reviews Computational Statistics (1 paper)Computational Statistics & Data Analysis (1 paper)Biological Journal of the Linnean Society (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Ci‐Ren Jiang
14 papers receiving 315 citations
Peers
Comparison fields: 5 of 91
- Statistics and Probability 128
- Aging 5
- Analytical Chemistry 22
- Artificial Intelligence 55
- Statistics, Probability and Uncertainty 11
Countries citing papers authored by Ci‐Ren Jiang
This map shows the geographic impact of Ci‐Ren Jiang'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 Ci‐Ren Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ci‐Ren Jiang more than expected).
Fields of papers citing papers by Ci‐Ren Jiang
This network shows the impact of papers produced by Ci‐Ren Jiang. 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 Ci‐Ren Jiang. The network helps show where Ci‐Ren Jiang may publish in the future.
Co-authors
The 24 scholars most cited alongside Ci‐Ren Jiang, 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 | 2011 | 83 | |
| 2 | 2010 | 66 | |
| 3 | Covariate adjusted functional principal components analysis for longitudinal\n data | 2010 | 51 |
| 4 | 2021 | 22 | |
| 5 | 2009 | 21 | |
| 6 | 2014 | 21 | |
| 7 | 2010 | 20 | |
| 8 | 2018 | 16 | |
| 9 | 2015 | 10 | |
| 10 | 2020 | 7 | |
| 11 | 2012 | 3 | |
| 12 | 2013 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2015 | 1 |
About Ci‐Ren Jiang
Ci‐Ren Jiang is a scholar working on Statistics and Probability, Artificial Intelligence, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Analytical Chemistry, having authored 14 papers that have together received 324 indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Advanced MRI Techniques and Applications (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Bayesian Methods and Mixture Models (3 papers), Medical Imaging Techniques and Applications (2 papers), Face and Expression Recognition (2 papers), RNA and protein synthesis mechanisms (1 paper) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Statistics and Probability (128 citations), Aging (5 citations), Analytical Chemistry (22 citations), Artificial Intelligence (55 citations) and Statistics, Probability and Uncertainty (11 citations). Ci‐Ren Jiang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Jane-Ling Wang, James Brown, Haiyan Huang, Peter J. Bickel, Jingyi Jessica Li, John A. D. Aston, Wei Yu, James R. Carey, Hans‐Georg Müller and Pierre François Duyck. Their work appears in journals such as The Annals of Statistics, Wiley Interdisciplinary Reviews Computational Statistics, Computational Statistics & Data Analysis, Biological Journal of the Linnean Society and Analytical Chemistry.
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.