Cong Han
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Bayesian Inference
- Markov Chains and Monte Carlo Methods
- Epidemiology top 10%
- Substance Abuse Treatment and Outcomes
- Herpesvirus Infections and Treatments
Papers in
-
- Statistical Methods and Bayesian Inference 3
- Statistical Distribution Estimation and Applications 2
-
- Optimal Experimental Design Methods 3
- Co-authors
- Bradley P. Carlin (1 shared paper)William G. Iacono (1 shared paper)Kathryn M. Chaloner (5 shared papers)Daniel Jordan Weisdorf (1 shared paper)Wesley J. Miller (1 shared paper)R J Haake (1 shared paper)Ronald B. Reisler (1 shared paper)Richard A. Kronmal (2 shared papers)
- Journals
- Statistics in Medicine (1 paper)Defence and Peace Economics (1 paper)Addiction (1 paper)Biometrics (1 paper)JAIDS Journal of Acquired Immune Deficiency Syndromes (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Cong Han
16 papers receiving 906 citations
Peers
Comparison fields: 5 of 99
- Statistics and Probability 195
- Epidemiology 228
- Management Science and Operations Research 99
- Infectious Diseases 81
- Virology 18
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 23 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 | 195 | |
| 2 | 1999 | 194 | |
| 3 | Varicella zoster infection after bone marrow transplantation: incidence, risk factors and complications. | 1994 | 160 |
| 4 | 2003 | 101 | |
| 5 | 2023 | 85 | |
| 6 | 2004 | 57 | |
| 7 | 2003 | 46 | |
| 8 | 2002 | 29 | |
| 9 | 2002 | 25 | |
| 10 | 2004 | 25 | |
| 11 | 2006 | 15 | |
| 12 | 2007 | 11 | |
| 13 | 2024 | 10 | |
| 14 | 2018 | 9 | |
| 15 | 2005 | 2 | |
| 16 | 2004 | 1 |
About Cong Han
Cong Han is a scholar working on Statistics and Probability, Management Science and Operations Research, Infectious Diseases, Emergency Medicine and Economics and Econometrics, having authored 16 papers that have together received 965 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (3 papers), Optimal Experimental Design Methods (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Statistical Distribution Estimation and Applications (2 papers), HIV-related health complications and treatments (1 paper), Defense, Military, and Policy Studies (1 paper), HIV/AIDS Research and Interventions (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Statistics and Probability (195 citations), Epidemiology (228 citations), Management Science and Operations Research (99 citations), Infectious Diseases (81 citations) and Virology (18 citations). Cong Han has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Bradley P. Carlin, William G. Iacono, Kathryn M. Chaloner, Daniel Jordan Weisdorf, Wesley J. Miller, R J Haake, Ronald B. Reisler, Richard A. Kronmal, James D. Neaton and Ellen Tedaldi. Their work appears in journals such as Statistics in Medicine, Defence and Peace Economics, Addiction, Biometrics and JAIDS Journal of Acquired Immune Deficiency Syndromes.
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.