Cong Han
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Virology top 10%
Papers in
-
- Statistical Methods and Bayesian Inference 4
- Statistical Methods in Clinical Trials 3
- Statistical Methods and Inference 2
- Statistical Distribution Estimation and Applications 1
-
- Optimal Experimental Design Methods 3
- Co-authors
- Bradley P. Carlin (1 shared paper)William G. Iacono (1 shared paper)Kathryn Chaloner (5 shared papers)Daniel J. Weisdorf (1 shared paper)Wesley J. Miller (1 shared paper)R Haake (1 shared paper)Richard A. Kronmal (2 shared papers)William J. Burman (1 shared paper)
- Journals
- AIDS (1 paper)Biometrics (1 paper)JAIDS Journal of Acquired Immune Deficiency Syndromes (1 paper)Journal of Voice (1 paper)Defence and Peace Economics (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Cong Han
16 papers receiving 823 citations
Peers
Comparison fields: 5 of 122
- Statistics and Probability 182
- Virology 60
- Management Science and Operations Research 111
- Epidemiology 224
- Statistics, Probability and Uncertainty 47
Countries citing papers authored by Cong Han
This map shows the geographic impact of Cong Han'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 Cong Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Han more than expected).
Fields of papers citing papers by Cong Han
This network shows the impact of papers produced by Cong Han. 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 Cong Han. The network helps show where Cong Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Han, 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 | 2001 | 207 | |
| 2 | 1999 | 199 | |
| 3 | Varicella zoster infection after bone marrow transplantation: incidence, risk factors and complications. | 1994 | 146 |
| 4 | 2003 | 97 | |
| 5 | 2004 | 62 | |
| 6 | 2003 | 44 | |
| 7 | 2002 | 28 | |
| 8 | 2002 | 27 | |
| 9 | 2004 | 24 | |
| 10 | 2006 | 15 | |
| 11 | 2007 | 10 | |
| 12 | 2018 | 9 | |
| 13 | 2024 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2005 | 2 | |
| 16 | 2004 | 1 |
About Cong Han
Cong Han is a scholar working on Statistics and Probability, Management Science and Operations Research, Genetics, Epidemiology and Artificial Intelligence, having authored 16 papers that have together received 882 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (4 papers), Optimal Experimental Design Methods (3 papers), Statistical Methods in Clinical Trials (3 papers), Genetic and phenotypic traits in livestock (2 papers), Statistical Methods and Inference (2 papers), Statistical Distribution Estimation and Applications (1 paper), COVID-19 epidemiological studies (1 paper) and Fiscal Policy and Economic Growth (1 paper). The work is most often cited by research in Statistics and Probability (182 citations), Virology (60 citations), Management Science and Operations Research (111 citations), Epidemiology (224 citations) and Statistics, Probability and Uncertainty (47 citations). Cong Han has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Bradley P. Carlin, William G. Iacono, Kathryn Chaloner, Daniel J. Weisdorf, Wesley J. Miller, R Haake, Richard A. Kronmal, William J. Burman, Ellen Tedaldi and Ronald B. Reisler. Their work appears in journals such as AIDS, Biometrics, JAIDS Journal of Acquired Immune Deficiency Syndromes, Journal of Voice and Defence and Peace Economics.
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.