2026 Jun Yan: Mathematics Researcher – H-Index, Publications & Awards

Overview

Jun Yan is a researcher affiliated with the University of Connecticut in the United States, contributing extensively to the fields of computer science and medicine. Their work spans a variety of interdisciplinary topics, primarily focusing on artificial intelligence applications in healthcare.

Their main fields of study include:

Computer Science
Medicine

The subfields they work in are:

Artificial Intelligence
Information Systems
Molecular Biology
Sociology and Political Science
Computer Vision and Pattern Recognition

The main topics covered in Jun Yan's research are:

Machine Learning in Healthcare
Topic Modeling
Natural Language Processing Techniques
Biomedical Text Mining and Ontologies
Artificial Intelligence in Healthcare
COVID-19 diagnosis using AI
COVID-19 Clinical Research Studies

Jun Yan has coauthored multiple papers with several frequent collaborators, including:

Buzhou Tang
Qingcai Chen
Shuai Chen
Simin Li
Xiaolong Wang

Jun Yan's recent publications include:

Real-world data medical knowledge graph: construction and applications, 2020, Artificial Intelligence in Medicine
Depression Risk Prediction for Chinese Microblogs via Deep-Learning Methods: Content Analysis, 2020, JMIR Medical Informatics
A hybrid method of recurrent neural network and graph neural network for next-period prescription prediction, 2020, International Journal of Machine Learning and Cybernetics
Development and external evaluation of predictions models for mortality of COVID-19 patients using machine learning method, 2021, Neural Computing and Applications
Distributed representation and one-hot representation fusion with gated network for clinical semantic textual similarity, 2020, BMC Medical Informatics and Decision Making

The venues where Jun Yan frequently publishes include:

JMIR Medical Informatics
Swinburne Research Bank (Swinburne University of Technology)
International Journal of Security and Networks
arXiv (Cornell University)
Artificial Intelligence in Medicine

Best Publications

The R Package geepack for Generalized Estimating Equations

Ulrich Halekoh;Søren Højsgaard;Jun Yan

1973
Citations
Enjoy the Joy of Copulas: With a Package copula

Jun Yan

675
Citations
Estimating equations for association structures.

Jun Yan;Jason Fine

527
Citations
Modeling Multivariate Distributions with Continuous Margins Using the copula R Package

Ivan Kojadinovic;Jun Yan

501
Citations
Elements of Copula Modeling with R

Marius Hofert;Ivan Kojadinovic;Jun Yan;Martin Mächler

194
Citations
A goodness-of-fit test for multivariate multiparameter copulas based on multiplier central limit theorems

Ivan Kojadinovic;Jun Yan

160
Citations
FAST LARGE-SAMPLE GOODNESS-OF-FIT TESTS FOR COPULAS

Ivan Kojadinovic;Jun Yan;Mark Holmes

150
Citations
Comparison of three semiparametric methods for estimating dependence parameters in copula models

Ivan Kojadinovic;Jun Yan

133
Citations
Electronic Consultations to Improve the Primary Care-Specialty Care Interface for Cardiology in the Medically Underserved: A Cluster-Randomized Controlled Trial

J. Nwando Olayiwola;J. Nwando Olayiwola;Daren Anderson;Nicole Jepeal;Robert Aseltine

128
Citations
Statistical methods and computing for big data.

Chun Wang;Ming-Hui Chen;Elizabeth Schifano;Jing Wu

121
Citations
A goodness-of-fit test for bivariate extreme-value copulas

Christian Genest;Ivan Kojadinovic;Johanna Nešlehová;Jun Yan

114
Citations
Extreme Value Modeling and Risk Analysis : Methods and Applications

Dipak K. Dey;Jun Yan

101
Citations
Online Updating of Statistical Inference in the Big Data Setting

Elizabeth D. Schifano;Jing Wu;Chun Wang;Jun Yan

91
Citations
Survival Analysis: Techniques for Censored and Truncated Data

Jun Yan

86
Citations
Multivariate Modeling with Copulas and Engineering Applications

Jun Yan

74
Citations
Parallelizing MCMC for Bayesian spatiotemporal geostatistical models

Jun Yan;Mary Kathryn Cowles;Shaowen Wang;Marc P. Armstrong

70
Citations
Temporal process regression

J. P. Fine;J. Yan;M. R. Kosorok

69
Citations
Large-sample tests of extreme-value dependence for multivariate copulas

Ivan Kojadinovic;Johan Segers;Jun Yan

67
Citations
Package R copula : "Multivariate dependence with copulas", version 0.9-7

Ivan Kojadinovic;J. Yan

64
Citations
Wilcoxon Rank-Based Tests for Clustered Data with R Package clusrank

Yujing Jiang;Xin He;Mei-Ling Ting Lee;Bernard Rosner

20
Citations

Frequent Co-Authors

Robert H. Aseltine University of Connecticut Health Center

Ming-Hui Chen University of Connecticut

Dipak K. Dey University of Connecticut

Mekonnen Gebremichael University of California, Los Angeles

Xuebin Zhang University of Victoria

Johan Segers Université Catholique de Louvain

Christian Genest McGill University

Jian Huang University of Iowa

Kieren A. Marr Johns Hopkins University School of Medicine

Rajita Sinha Yale University

External Links

Personal website of Jun Yan

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