Jane-Ling Wang
Impact in
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- Intensive Care Unit Cognitive Disorders
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
Papers in
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- Viral gastroenteritis research and epidemiology 1
- Co-authors
- Liugen Xue (1 shared paper)Lixing Zhu (1 shared paper)Vahid Feiz (2 shared papers)Mark J. Mannis (2 shared papers)Francisco J. Garcia-Ferrer (1 shared paper)Esther Kim (1 shared paper)Wei Wang (1 shared paper)Jason K. Darlington (1 shared paper)
- Journals
- Cornea (2 papers)Scientific Reports (1 paper)Proceedings of the National Academy of Sciences (1 paper)The British Journal of Psychiatry (1 paper)The Annals of Statistics (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Jane-Ling Wang
7 papers receiving 474 citations
Peers
Comparison fields: 5 of 76
- Critical Care and Intensive Care Medicine 74
- Statistics and Probability 135
- Developmental Neuroscience 41
- Aging 17
- Modeling and Simulation 22
Countries citing papers authored by Jane-Ling Wang
This map shows the geographic impact of Jane-Ling Wang'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 Jane-Ling Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane-Ling Wang more than expected).
Fields of papers citing papers by Jane-Ling Wang
This network shows the impact of papers produced by Jane-Ling Wang. 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 Jane-Ling Wang. The network helps show where Jane-Ling Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane-Ling Wang, 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 | 142 | |
| 2 | 2009 | 141 | |
| 3 | 2013 | 112 | |
| 4 | 1997 | 54 | |
| 5 | 2020 | 28 | |
| 6 | 2002 | 19 | |
| 7 | 2018 | 10 |
About Jane-Ling Wang
Jane-Ling Wang is a scholar working on Economics and Econometrics, Infectious Diseases, Critical Care and Intensive Care Medicine, Ecology, Evolution, Behavior and Systematics and Epidemiology, having authored 7 papers that have together received 506 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (1 paper), Data-Driven Disease Surveillance (1 paper), Statistical Methods and Bayesian Inference (1 paper), Intensive Care Unit Cognitive Disorders (1 paper), COVID-19 epidemiological studies (1 paper), Child Nutrition and Water Access (1 paper), Entomological Studies and Ecology (1 paper) and Insect behavior and control techniques (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (74 citations), Statistics and Probability (135 citations), Developmental Neuroscience (41 citations), Aging (17 citations) and Modeling and Simulation (22 citations). Jane-Ling Wang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Liugen Xue, Lixing Zhu, Vahid Feiz, Mark J. Mannis, Francisco J. Garcia-Ferrer, Esther Kim, Wei Wang, Jason K. Darlington, Jeffrey J. Caspar and Yi‐Kuan Tseng. Their work appears in journals such as Cornea, Scientific Reports, Proceedings of the National Academy of Sciences, The British Journal of Psychiatry and The Annals of 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.