Ching‐Yun Wang

1.4k total citations
50 papers, 1.0k citations indexed

About

Ching‐Yun Wang is a scholar working on Statistics and Probability, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ching‐Yun Wang has authored 50 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 13 papers in Physiology and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ching‐Yun Wang's work include Statistical Methods and Inference (16 papers), Statistical Methods and Bayesian Inference (14 papers) and Eating Disorders and Behaviors (6 papers). Ching‐Yun Wang is often cited by papers focused on Statistical Methods and Inference (16 papers), Statistical Methods and Bayesian Inference (14 papers) and Eating Disorders and Behaviors (6 papers). Ching‐Yun Wang collaborates with scholars based in United States, Taiwan and Canada. Ching‐Yun Wang's co-authors include Catherine Duggan, Anne McTiernan, Catherine M. Alfano, Jean de Dieu Tapsoba, Karen E. Foster‐Schubert, Angela Kong, George L. Blackburn, Liren Xiao, Kristin L. Campbell and Carolyn Bain and has published in prestigious journals such as Journal of the American Statistical Association, American Journal of Clinical Nutrition and Cancer Research.

In The Last Decade

Ching‐Yun Wang

48 papers receiving 992 citations

Peers

Ching‐Yun Wang
Giulia Mancano United Kingdom
Simon Rosenfeld United States
Siddhesh Kamat United States
Raji Balasubramanian United States
Marilyn C. Cornelis United States
Catharine B. Stack United States
Zbigniew Żylicz Netherlands
Qian Gao China
Giulia Mancano United Kingdom
Ching‐Yun Wang
Citations per year, relative to Ching‐Yun Wang Ching‐Yun Wang (= 1×) peers Giulia Mancano

Countries citing papers authored by Ching‐Yun Wang

Since Specialization
Citations

This map shows the geographic impact of Ching‐Yun 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 Ching‐Yun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Yun Wang more than expected).

Fields of papers citing papers by Ching‐Yun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Yun 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 Ching‐Yun Wang. The network helps show where Ching‐Yun Wang may publish in the future.

Co-authorship network of co-authors of Ching‐Yun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Yun Wang. A scholar is included among the top collaborators of Ching‐Yun Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ching‐Yun Wang. Ching‐Yun Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Ching‐Yun, Li Hsu, & Tabitha A. Harrison. (2024). Robust best linear weighted estimator with missing covariates in survival analysis. Statistics in Medicine. 43(9). 1790–1803. 1 indexed citations
2.
Wang, Ching‐Yun, Wen‐Han Hwang, & Xiao Song. (2024). Biomarker data with measurement error in medical research: A literature review. Wiley Interdisciplinary Reviews Computational Statistics. 16(1). 1 indexed citations
3.
Wang, Ching‐Yun & Ziding Feng. (2023). A Flexible Method for Diagnostic Accuracy with Biomarker Measurement Error. Mathematics. 11(3). 549–549. 2 indexed citations
4.
Stoklosa, Jakub, et al.. (2022). Population Size Estimation Using Zero-Truncated Poisson Regression with Measurement Error. Journal of Agricultural Biological and Environmental Statistics. 27(2). 303–320. 3 indexed citations
5.
Duggan, Catherine, Jean de Dieu Tapsoba, Nitin Shivappa, et al.. (2020). Changes in Dietary Inflammatory Index Patterns with Weight Loss in Women: A Randomized Controlled Trial. Cancer Prevention Research. 14(1). 85–94. 18 indexed citations
6.
Wang, Ching‐Yun & Li Hsu. (2020). Multinomial logistic regression with missing outcome data: An application to cancer subtypes. Statistics in Medicine. 39(24). 3299–3312. 7 indexed citations
8.
Wang, Ching‐Yun & James Y. Dai. (2019). Best linear inverse probability weighted estimation for two‐phase designs and missing covariate regression. Statistics in Medicine. 38(15). 2783–2796. 5 indexed citations
9.
Tapsoba, Jean de Dieu, E. C. T. Chao, & Ching‐Yun Wang. (2019). Simulation Extrapolation Method for Cox Regression Model with a Mixture of Berkson and Classical Errors in the Covariates using Calibration Data. The International Journal of Biostatistics. 15(2). 5 indexed citations
10.
Mason, Caitlin, Jean de Dieu Tapsoba, Catherine Duggan, et al.. (2019). Eating behaviors and weight loss outcomes in a 12-month randomized trial of diet and/or exercise intervention in postmenopausal women. International Journal of Behavioral Nutrition and Physical Activity. 16(1). 113–113. 31 indexed citations
11.
Wang, Ching‐Yun, Li‐Min Huang, Hsin Chi, et al.. (2019). Effects of influenza vaccine and sun exposure time against laboratory-confirmed influenza hospitalizations among young children during the 2012–13 to 2015–16 influenza seasons. Journal of Microbiology Immunology and Infection. 52(6). 880–887. 6 indexed citations
12.
Wang, Ching‐Yun, et al.. (2018). Methods for Multivariate Recurrent Event Data with Measurement Error and Informative Censoring. Biometrics. 74(3). 966–976. 4 indexed citations
13.
Duggan, Catherine, et al.. (2017). Long-Term Effects of Weight Loss and Exercise on Biomarkers Associated with Angiogenesis. Cancer Epidemiology Biomarkers & Prevention. 26(12). 1788–1794. 13 indexed citations
14.
Duggan, Catherine, Jean de Dieu Tapsoba, Ching‐Yun Wang, & Anne McTiernan. (2016). Dietary Weight Loss and Exercise Effects on Serum Biomarkers of Angiogenesis in Overweight Postmenopausal Women: A Randomized Controlled Trial. Cancer Research. 76(14). 4226–4235. 29 indexed citations
15.
Wang, Ching‐Yun, et al.. (2016). Semiparametric Regression Estimation for Recurrent Event Data with Errors in Covariates under Informative Censoring. The International Journal of Biostatistics. 12(2). 2 indexed citations
16.
Perrigue, Martine M., Adam Drewnowski, Ching‐Yun Wang, et al.. (2016). Randomized Trial Testing the Effects of Eating Frequency on Two Hormonal Biomarkers of Metabolism and Energy Balance. Nutrition and Cancer. 69(1). 56–63. 9 indexed citations
17.
Koblin, Beryl A., Kenneth H. Mayer, Elizabeth Noonan, et al.. (2012). Sexual Risk Behaviors, Circumcision Status, and Preexisting Immunity to Adenovirus Type 5 Among Men Who Have Sex With Men Participating in a Randomized HIV-1 Vaccine Efficacy Trial. JAIDS Journal of Acquired Immune Deficiency Syndromes. 60(4). 405–413. 21 indexed citations
18.
Duggan, Catherine, Ching‐Yun Wang, Marian L. Neuhouser, et al.. (2012). Associations of insulin‐like growth factor and insulin‐like growth factor binding protein‐3 with mortality in women with breast cancer. International Journal of Cancer. 132(5). 1191–1200. 53 indexed citations
19.
Foster‐Schubert, Karen E., Catherine M. Alfano, Catherine Duggan, et al.. (2011). Effect of Diet and Exercise, Alone or Combined, on Weight and Body Composition in Overweight‐to‐Obese Postmenopausal Women. Obesity. 20(8). 1628–1638. 343 indexed citations
20.
Ho, Chi‐Kuan, Bor‐Rung Ou, Ching‐Yun Wang, Hour‐Young Chen, & Tsuguo Kuwata. (1989). Differential modulating effects of retinoic acid on interferon antiviral activity. Archives of Virology. 109(1-2). 25–34. 1 indexed citations

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.

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