Minge Xie

2.6k total citations
69 papers, 1.6k citations indexed

About

Minge Xie is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Minge Xie has authored 69 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Statistics and Probability, 15 papers in Statistics, Probability and Uncertainty and 14 papers in Artificial Intelligence. Recurrent topics in Minge Xie's work include Statistical Methods and Bayesian Inference (23 papers), Statistical Methods and Inference (14 papers) and Advanced Statistical Methods and Models (12 papers). Minge Xie is often cited by papers focused on Statistical Methods and Bayesian Inference (23 papers), Statistical Methods and Inference (14 papers) and Advanced Statistical Methods and Models (12 papers). Minge Xie collaborates with scholars based in United States, Netherlands and United Kingdom. Minge Xie's co-authors include Kesar Singh, William E. Strawderman, Regina Y. Liu, Wes Thompson, Helene R. White, Rolf Loeber, Magda Stouthamer‐Loeber, Yaning Yang, Linda Flynn and Yulan Liang and has published in prestigious journals such as Journal of the American Statistical Association, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Minge Xie

68 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Minge Xie United States 21 624 259 230 173 149 69 1.6k
Suojin Wang United States 27 902 1.4× 351 1.4× 164 0.7× 117 0.7× 86 0.6× 168 2.6k
Antonio Sanhueza Chile 25 762 1.2× 208 0.8× 371 1.6× 53 0.3× 116 0.8× 91 2.0k
Thomas Jaki United Kingdom 29 1.5k 2.3× 207 0.8× 259 1.1× 186 1.1× 118 0.8× 173 2.8k
Bibhas Chakraborty United States 27 644 1.0× 353 1.4× 45 0.2× 234 1.4× 108 0.7× 114 2.7k
Kit C. B. Roes Netherlands 28 645 1.0× 57 0.2× 377 1.6× 181 1.0× 97 0.7× 143 2.9k
John E. Kolassa United States 27 330 0.5× 154 0.6× 72 0.3× 421 2.4× 155 1.0× 85 1.9k
Dipankar Bandyopadhyay United States 28 542 0.9× 244 0.9× 56 0.2× 268 1.5× 303 2.0× 182 2.6k
Christian Ohmann Germany 39 122 0.2× 237 0.9× 201 0.9× 425 2.5× 187 1.3× 178 4.2k
Eric B. Laber United States 28 1.5k 2.4× 394 1.5× 40 0.2× 132 0.8× 49 0.3× 90 2.9k
Yuedong Wang United States 30 459 0.7× 153 0.6× 57 0.2× 126 0.7× 95 0.6× 112 2.6k

Countries citing papers authored by Minge Xie

Since Specialization
Citations

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

Fields of papers citing papers by Minge Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minge Xie. 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 Minge Xie. The network helps show where Minge Xie may publish in the future.

Co-authorship network of co-authors of Minge Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Minge Xie. A scholar is included among the top collaborators of Minge Xie 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 Minge Xie. Minge Xie 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.
Zhang, Linjun, et al.. (2025). A unified combination framework for dependent tests with applications to microbiome association studies. Biometrics. 81(1). 1 indexed citations
2.
Zhou, Zhengyang, et al.. (2024). A simulation study of the performance of statistical models for count outcomes with excessive zeros. Statistics in Medicine. 43(24). 4752–4767. 1 indexed citations
3.
Berger, James O., Xiao‐Li Meng, Nancy Reid, & Minge Xie. (2024). Handbook of Bayesian, Fiducial, and Frequentist Inference. 3 indexed citations
4.
Xie, Minge, et al.. (2023). Approximate Confidence Distribution Computing. Works - Scholarship, Research, & Creative Expression (Swarthmore College). 270–282. 1 indexed citations
5.
Dasgupta, Tirthankar, et al.. (2021). Leveraging the Fisher Randomization Test using Confidence Distributions: Inference, Combination and Fusion Learning. Journal of the Royal Statistical Society Series B (Statistical Methodology). 83(4). 777–797. 7 indexed citations
6.
Zhou, Zhengyang, Minge Xie, David Huh, & Eun‐Young Mun. (2020). A Bias Correction Method in Meta-analysis of Randomized Clinical Trials with no Adjustments for Zero-inflated Outcomes. arXiv (Cornell University). 5 indexed citations
7.
Chu, Brian C., Daniela Colognori, Guang Yang, et al.. (2015). Mediators of Exposure Therapy for Youth Obsessive-Compulsive Disorder: Specificity and Temporal Sequence of Client and Treatment Factors. Behavior Therapy. 46(3). 395–408. 20 indexed citations
8.
Liu, Regina Y., et al.. (2014). Multivariate Meta-Analysis of Heterogeneous Studies Using Only Summary Statistics: Efficiency and Robustness. Journal of the American Statistical Association. 110(509). 326–340. 57 indexed citations
9.
Liu, Regina Y., et al.. (2014). Exact Meta-Analysis Approach for Discrete Data and its Application to 2 × 2 Tables With Rare Events. Journal of the American Statistical Association. 109(508). 1450–1465. 57 indexed citations
10.
Chen, Xueying & Minge Xie. (2013). A split-and-conquer approach for analysis of. Statistica Sinica. 30 indexed citations
11.
Cheng, Jerry, Minge Xie, Rong Chen, & Fred S. Roberts. (2013). A Latent Source Model to Detect Multiple Spatial Clusters With Application in a Mobile Sensor Network for Surveillance of Nuclear Materials. Journal of the American Statistical Association. 108(503). 902–913. 3 indexed citations
12.
Flynn, Linda, Yulan Liang, Geri L. Dickson, Minge Xie, & Dong‐Churl Suh. (2012). Nurses’ Practice Environments, Error Interception Practices, and Inpatient Medication Errors. Journal of Nursing Scholarship. 44(2). 180–186. 89 indexed citations
13.
Xie, Minge, Kesar Singh, & William E. Strawderman. (2011). Confidence Distributions and a Unifying Framework for Meta-Analysis. Journal of the American Statistical Association. 106(493). 320–333. 85 indexed citations
14.
Safford, Monika M., Michael Brimacombe, Quanwu Zhang, et al.. (2009). Patient complexity in quality comparisons for glycemic control: An observational study. Implementation Science. 4(1). 2–2. 14 indexed citations
15.
Xie, Minge, Kesar Singh, & Cun‐Hui Zhang. (2009). Confidence Intervals for Population Ranks in the Presence of Ties and Near Ties. Journal of the American Statistical Association. 104(486). 775–788. 20 indexed citations
16.
Thompson, Wes, Hongwei Wang, Minge Xie, et al.. (2005). Assessing Quality of Diabetes Care by Measuring Longitudinal Changes in Hemoglobin A1c in the Veterans Health Administration. Health Services Research. 40(6p1). 1818–1835. 26 indexed citations
17.
Pogach, Leonard, Minge Xie, Chin‐Lin Tseng, et al.. (2005). Diabetes healthcare quality report cards: how accurate are the grades?. PubMed. 11(12). 797–804. 3 indexed citations
18.
Zhou, Haibo, Minge Xie, Douglas G. Simpson, & Clarice R. Weinberg. (2001). A generalized likelihood ratio approach for cluster-correlated data from human fertility studies. 63. 56–68. 2 indexed citations
19.
Xie, Minge. (2001). Regression analysis of group testing samples. Statistics in Medicine. 20(13). 1957–1969. 66 indexed citations
20.
Xie, Minge & Douglas G. Simpson. (1999). Regression Modeling of Ordinal Data with Nonzero Baselines. Biometrics. 55(1). 308–316. 3 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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