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Jun Yan publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Jun Yan sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

The last bar groups every scientist with 537 publications or more.

Jun Yan D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Jun Yan sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

The last bar groups every scientist with 86 D-Index or more.

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

  • Enjoy the Joy of Copulas: With a Package copula

    Jun Yan

  • Estimating equations for association structures.

    Jun Yan;Jason Fine

  • Modeling Multivariate Distributions with Continuous Margins Using the copula R Package

    Ivan Kojadinovic;Jun Yan

  • Elements of Copula Modeling with R

    Marius Hofert;Ivan Kojadinovic;Jun Yan;Martin Mächler

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

    Ivan Kojadinovic;Jun Yan

  • FAST LARGE-SAMPLE GOODNESS-OF-FIT TESTS FOR COPULAS

    Ivan Kojadinovic;Jun Yan;Mark Holmes

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

    Ivan Kojadinovic;Jun Yan

  • 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

  • Statistical methods and computing for big data.

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

  • A goodness-of-fit test for bivariate extreme-value copulas

    Christian Genest;Ivan Kojadinovic;Johanna Nešlehová;Jun Yan

  • Extreme Value Modeling and Risk Analysis : Methods and Applications

    Dipak K. Dey;Jun Yan

  • Online Updating of Statistical Inference in the Big Data Setting

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

  • Survival Analysis: Techniques for Censored and Truncated Data

    Jun Yan

  • Multivariate Modeling with Copulas and Engineering Applications

    Jun Yan

  • Parallelizing MCMC for Bayesian spatiotemporal geostatistical models

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

  • Temporal process regression

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

  • Large-sample tests of extreme-value dependence for multivariate copulas

    Ivan Kojadinovic;Johan Segers;Jun Yan

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

    Ivan Kojadinovic;J. Yan

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

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

Frequent Co-Authors

Robert H. Aseltine
Robert H. Aseltine University of Connecticut Health Center
Ming-Hui Chen
Ming-Hui Chen University of Connecticut
Dipak K. Dey
Dipak K. Dey University of Connecticut
Mekonnen Gebremichael
Mekonnen Gebremichael University of California, Los Angeles
Xuebin Zhang
Xuebin Zhang University of Victoria
Johan Segers
Johan Segers Université Catholique de Louvain
Christian Genest
Christian Genest McGill University
Jian Huang
Jian Huang University of Iowa
Kieren A. Marr
Kieren A. Marr Johns Hopkins University School of Medicine
Rajita Sinha
Rajita Sinha Yale University

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