World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7114
World Ranking
9275
National Ranking
3948

Jun Yang publication distribution in Computer Science in 2026

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

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 175 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Jun Yang D-index placement in Computer Science in 2026

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

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2019 - ACM Distinguished Member

Overview

Jun Yang is affiliated with Duke University in the United States and has a research profile that spans several domains in computer science, mathematics, and engineering. Their work primarily focuses on optimization and variational analysis, with significant contributions to advanced optimization algorithms and related mathematical methods.

The scientist's main fields of study include:

  • Computer Science (31 publications)
  • Mathematics (13 publications)
  • Engineering (9 publications)

Within these disciplines, Jun Yang's subfields of specialization cover:

  • Computational Theory and Mathematics
  • Numerical Analysis
  • Civil and Structural Engineering
  • Computer Networks and Communications
  • Artificial Intelligence

The topics addressed in their research comprise:

  • Optimization and Variational Analysis
  • Advanced Optimization Algorithms Research
  • Topology Optimization in Engineering
  • Contact Mechanics and Variational Inequalities
  • Advanced Database Systems and Queries
  • Data Management and Algorithms
  • Fixed Point Theorems Analysis

Jun Yang has authored and coauthored multiple peer-reviewed papers. Some recent works include:

  • "Weak convergence of iterative methods for solving quasimonotone variational inequalities", 2020, published in Computational Optimization and Applications
  • "Explicit extragradient-like method with adaptive stepsizes for pseudomonotone variational inequalities", 2021, published in Optimization Letters
  • "Modified Tseng's splitting algorithms for the sum of two monotone operators in Banach spaces", 2021, published in AIMS Mathematics
  • "The Iterative Methods for Solving Pseudomontone Equilibrium Problems", 2020, published in Journal of Scientific Computing
  • "Why Do Developers Remove Lambda Expressions in Java?", 2021, published in the 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Frequent coauthors collaborating with Jun Yang include:

  • Prasit Cholamjiak
  • Pongsakorn Sunthrayuth
  • Xiao Hu
  • Stavros Sintos
  • Pankaj K. Agarwal

Jun Yang's works are often published in venues such as:

  • Computational Optimization and Applications
  • AIMS Mathematics
  • Proceedings of the 2022 International Conference on Management of Data
  • arXiv (Cornell University)
  • Optimization Letters

In recognition of their contributions, Jun Yang was named an ACM Distinguished Member in 2019.

Best Publications

  • BLINKS: ranked keyword searches on graphs

    Hao He;Haixun Wang;Jun Yang;Philip S. Yu

  • Optimizing Queries Across Diverse Data Sources

    Laura M. Haas;Donald Kossmann;Edward L. Wimmers;Jun Yang

  • Dual Labeling: Answering Graph Reachability Queries in Constant Time

    Haixun Wang;Hao He;Jun Yang;P.S. Yu

  • Incremental computation and maintenance of temporal aggregates

    Jun Yang;Jennifer Widom

  • A Sampling-Based Approach to Optimizing Top-k Queries in Sensor Networks

    A.S. Silberstein;R. Braynard;C. Ellis;K. Munagala

  • Constraint chaining: on energy-efficient continuous monitoring in sensor networks

    Adam Silberstein;Rebecca Braynard;Jun Yang

  • Tree indexing on solid state drives

    Yinan Li;Bingsheng He;Robin Jun Yang;Qiong Luo

  • Toward computational fact-checking

    You Wu;Pankaj K. Agarwal;Chengkai Li;Jun Yang

  • Efficient maintenance of materialized top-k views

    Ke Yi;Hai Yu;Jun Yang;Gangqiang Xia

  • Incremental computation and maintenance of temporal aggregates

    Jun Yang;J. Widom

  • Data Management in Machine Learning: Challenges, Techniques, and Systems

    Arun Kumar;Matthias Boehm;Jun Yang

  • Materialized Views

    Rada Chirkova;Jun Yang

  • Energy-efficient monitoring of extreme values in sensor networks

    Adam Silberstein;Kamesh Munagala;Jun Yang

  • Proceedings of the 2017 ACM International Conference on Management of Data

    Rada Chirkova;Jun Yang;Dan Suciu

  • Adaptive null-forming scheme in digital hearing aids

    Fa-Long Luo;Jun Yang;C. Pavlovic;A. Nehorai

  • Multiresolution indexing of XML for frequent queries

    Hao He;Jun Yang

  • Performance Issues in Incremental Warehouse Maintenance

    Wilburt Labio;Jun Yang;Yingwei Cui;Hector Garcia-Molina

  • Expiring Data in a Warehouse

    Hector Garcia-Molina;Wilburt Labio;Jun Yang

  • Processing a large number of continuous preference top-k queries

    Albert Yu;Pankaj K. Agarwal;Jun Yang

  • Maintaining Temporal Views over Non-Temporal Information Sources for Data Warehousing

    Jun Yang;Jennifer Widom

  • Cumulon: optimizing statistical data analysis in the cloud

    Botong Huang;Shivnath Babu;Jun Yang

  • Computational Journalism: A Call to Arms to Database Researchers

    Sarah Cohen;Chengkai Li;Jun Yang;Cong Yu

Frequent Co-Authors

Pankaj K. Agarwal
Pankaj K. Agarwal Duke University
Cong Yu
Cong Yu Google (United States)
Kamesh Munagala
Kamesh Munagala Duke University
Jennifer Widom
Jennifer Widom Stanford University
Shivnath Babu
Shivnath Babu Duke University
Ke Yi
Ke Yi Hong Kong University of Science and Technology
Haixun Wang
Haixun Wang Instacart
Alan E. Gelfand
Alan E. Gelfand Duke University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
João Gama
João Gama University of Porto

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