Jane-Ling Wang
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Developmental Neuroscience top 10%
- Anesthesia and Neurotoxicity Research
Papers in
-
- Corneal surgery and disorders 2
- Corneal Surgery and Treatments 1
- Co-authors
- Liugen Xue (1 shared paper)Lixing Zhu (1 shared paper)Vahid Feiz (2 shared papers)Mark J. Mannis (2 shared papers)Wei Wang (1 shared paper)Francisco J. Garcia-Ferrer (1 shared paper)Esther Kim (1 shared paper)Jason K. Darlington (1 shared paper)
- Journals
- Cornea (2 papers)Scientific Reports (1 paper)The Annals of Statistics (1 paper)British Journal Of Nutrition (1 paper)The British Journal of Psychiatry (1 paper)
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
Jane-Ling Wang
7 papers receiving 467 citations
Peers
Comparison fields: 5 of 82
- Statistics and Probability 133
- Developmental Neuroscience 67
- Ophthalmology 146
- Critical Care and Intensive Care Medicine 79
- Aging 17
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 | 141 | |
| 2 | 2009 | 140 | |
| 3 | 2013 | 109 | |
| 4 | 1997 | 54 | |
| 5 | 2020 | 27 | |
| 6 | 2002 | 19 | |
| 7 | 2018 | 9 |
About Jane-Ling Wang
Jane-Ling Wang is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging, Economics and Econometrics, Infectious Diseases and Critical Care and Intensive Care Medicine, having authored 7 papers that have together received 499 indexed citations. Recurring topics across this work include Corneal surgery and disorders (2 papers), Statistical Methods and Bayesian Inference (1 paper), Insect behavior and control techniques (1 paper), Intensive Care Unit Cognitive Disorders (1 paper), Corneal Surgery and Treatments (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), COVID-19 epidemiological studies (1 paper) and Child Nutrition and Water Access (1 paper). The work is most often cited by research in Statistics and Probability (133 citations), Developmental Neuroscience (67 citations), Ophthalmology (146 citations), Critical Care and Intensive Care Medicine (79 citations) and Aging (17 citations). Jane-Ling Wang has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Liugen Xue, Lixing Zhu, Vahid Feiz, Mark J. Mannis, Wei Wang, Francisco J. Garcia-Ferrer, Esther Kim, Jason K. Darlington, Jeffrey J. Caspar and Yen-Jen Oyang. Their work appears in journals such as Cornea, Scientific Reports, The Annals of Statistics, British Journal Of Nutrition and The British Journal of Psychiatry.
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.