Xuming He

4.4k total citations
107 papers, 2.8k citations indexed

About

Xuming He is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Xuming He has authored 107 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Statistics and Probability, 14 papers in Statistics, Probability and Uncertainty and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Xuming He's work include Statistical Methods and Inference (39 papers), Advanced Statistical Methods and Models (32 papers) and Statistical Methods and Bayesian Inference (16 papers). Xuming He is often cited by papers focused on Statistical Methods and Inference (39 papers), Advanced Statistical Methods and Models (32 papers) and Statistical Methods and Bayesian Inference (16 papers). Xuming He collaborates with scholars based in United States, China and Singapore. Xuming He's co-authors include Naveen N. Narisetty, Douglas G. Simpson, Roger Koenker, Stephen Portnoy, Ying Wei, Huixia Wang, Wing K. Fung, Peide Shi, Deyuan Li and Jianhui Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Xuming He

100 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuming He United States 31 1.5k 438 378 309 229 107 2.8k
Ricardo Cao Spain 29 897 0.6× 128 0.3× 429 1.1× 394 1.3× 175 0.8× 164 2.6k
Xuming He United States 30 1.9k 1.3× 259 0.6× 490 1.3× 96 0.3× 274 1.2× 88 3.2k
Huixia Wang United States 30 1.3k 0.8× 97 0.2× 391 1.0× 509 1.6× 124 0.5× 129 3.0k
Hao Helen Zhang United States 32 1.9k 1.2× 161 0.4× 983 2.6× 747 2.4× 215 0.9× 114 4.5k
Manuel Febrero–Bande Spain 23 959 0.6× 276 0.6× 547 1.4× 140 0.5× 157 0.7× 66 2.6k
Antonio Cuevas Spain 20 1.2k 0.8× 259 0.6× 645 1.7× 170 0.6× 104 0.5× 60 2.1k
Jeng‐Min Chiou Taiwan 28 825 0.5× 84 0.2× 455 1.2× 362 1.2× 102 0.4× 83 2.9k
Hon Keung Tony Ng United States 30 2.3k 1.5× 1.5k 3.5× 186 0.5× 177 0.6× 370 1.6× 183 3.6k
Jason C. Hsu United States 29 1.4k 0.9× 339 0.8× 184 0.5× 538 1.7× 1.0k 4.6× 113 3.9k
Ronald H. Randles United States 25 2.0k 1.3× 565 1.3× 451 1.2× 109 0.4× 363 1.6× 76 3.1k

Countries citing papers authored by Xuming He

Since Specialization
Citations

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

Fields of papers citing papers by Xuming He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuming He

This figure shows the co-authorship network connecting the top 25 collaborators of Xuming He. A scholar is included among the top collaborators of Xuming He 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 Xuming He. Xuming He 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
2.
Cai, Chao, et al.. (2025). Interfacial electron accumulation of Ir-Co3O4 toward efficient acidic oxygen evolution reaction. Chemical Engineering Journal. 519. 165083–165083.
3.
He, Xuming, Kean Ming Tan, & Wen‐Xin Zhou. (2023). Robust estimation and inference for expected shortfall regression with many regressors. Journal of the Royal Statistical Society Series B (Statistical Methodology). 85(4). 1223–1246. 7 indexed citations
4.
He, Xuming, et al.. (2023). Development and Validation of the Missed Nursing Care Tool for Pre-Operative Patients with Lung Cancer in China. Patient Preference and Adherence. Volume 17. 1451–1465. 2 indexed citations
5.
Ning, Jing, et al.. (2022). Semiparametric regression modeling of the global percentile outcome. Journal of Statistical Planning and Inference. 222. 149–159. 1 indexed citations
6.
Mi, Xinlei, et al.. (2020). A tail-based test to detect differential expression in RNA-sequencing data. Statistical Methods in Medical Research. 30(1). 261–276. 2 indexed citations
7.
Jia, Jingjing, et al.. (2018). Effect of vitamin D on ventricular remodelling in heart failure: a meta-analysis of randomised controlled trials. BMJ Open. 8(8). e020545–e020545. 39 indexed citations
8.
Park, Seyoung & Xuming He. (2017). Hypothesis testing for regional quantiles. Journal of Statistical Planning and Inference. 191. 13–24. 8 indexed citations
9.
He, Xuming, et al.. (2014). Zhichan decoction induces differentiation of dopaminergic neurons in Parkinson′s disease rats after neural stem cell transplantation. Neural Regeneration Research. 9(9). 931–931. 6 indexed citations
10.
Yang, Jing, Xuming He, Wei Liu, & Tingting Cao. (2014). Effects of percutaneous coronary intervention on the ambulatory blood pressure of patients with hypertension and coronary heart disease. Irish Journal of Medical Science (1971 -). 184(4). 845–850. 4 indexed citations
11.
Wang, Yanyu, Pingshuan Dong, Ling Li, et al.. (2014). Biodegradable Polymer Drug-Eluting Stents Versus Second-Generation Drug-Eluting Stents for Patients With Coronary Artery Disease: An Update Meta-Analysis. Cardiovascular Drugs and Therapy. 28(4). 379–385. 9 indexed citations
12.
Liu, Xiangyong, et al.. (2013). Clinical evaluation of thrombus aspiration combined with tirofiban in patients with acute myocardial infarction with elective percutaneous coronary intervention. Journal of International Medical Research. 41(5). 1532–1540. 4 indexed citations
13.
Wang, Yanyu, Pingshuan Dong, Ling Li, et al.. (2013). The mitochondrial tRNAMet4454T > C variant may not be associated with essential hypertension in Han Chinese population. Mitochondrial DNA. 25(2). 124–125. 7 indexed citations
14.
He, Xuming, et al.. (2012). Data mining-based detection of acupuncture treatment on juvenile myopia. Journal of Traditional Chinese Medicine. 32(3). 372–376. 18 indexed citations
15.
Fang, Fang, Xuming He, Xiaoyi Cao, et al.. (2009). Dissecting Early Differentially Expressed Genes in a Mixture of Differentiating Embryonic Stem Cells. PLoS Computational Biology. 5(12). e1000607–e1000607. 13 indexed citations
17.
Hu, Jianhua & Xuming He. (2006). Enhanced Quantile Normalization of Microarray Data to Reduce Loss of Information in Gene Expression Profiles. Biometrics. 63(1). 50–59. 30 indexed citations
18.
Wei, Ying, et al.. (2005). Quantile regression methods for reference growth charts. Statistics in Medicine. 25(8). 1369–1382. 239 indexed citations
19.
He, Xuming & Wing K. Fung. (2000). High Breakdown Estimation for Multiple Populations with Applications to Discriminant Analysis. Journal of Multivariate Analysis. 72(2). 151–162. 74 indexed citations
20.
He, Xuming. (1997). Quantile Curves without Crossing. The American Statistician. 51(2). 186–192. 205 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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