World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
10378
World Ranking
6429
National Ranking
385

Yue Jia 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 Yue Jia 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: 86 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Yue Jia 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 Yue Jia 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Yue Jia is affiliated with University College London in the United Kingdom. Their research spans multiple interdisciplinary areas, including plant science, artificial intelligence, finance, clinical psychology, and management science and operations research. They have contributed to various fields with a focus on topics such as psychometric methodologies and testing, stochastic processes and financial applications, plant genetic and mutation studies, seed germination and physiology, early childhood education and development, diverse topics in contemporary research, and education and learning interventions.

The scientist has authored several recent papers, covering a range of subjects and published in diverse academic venues. Key publications include:

  • Bidirectional longitudinal relationships between beliefs about adversity, teacher-student relationships and academic engagement of left behind children, 2025, Social Psychology of Education
  • Exploring the adverse effects of the metaverse on users' psychological well-being and Self-Esteem: A mixed-methods study, 2025, Journal of Retailing and Consumer Services
  • Equilibrium pricing of European crude oil options with stochastic behaviour and jump risks, 2023, Mathematics and Computers in Simulation
  • Think More Ambiguity Less: A Novel Dual Interactive Model with Local and Global Semantics for Chinese Named Entity Recognition, 2023, ACM Transactions on Asian and Low-Resource Language Information Processing
  • Identification of miRNAs Mediating Seed Storability of Maize during Germination Stage by High-Throughput Sequencing, Transcriptome and Degradome Sequencing, 2022, International Journal of Molecular Sciences

Yue Jia has collaborated with several frequent co-authors, including Yu Zhou, Xing Zeng, Zhenhua Wang, Lin Zhang, and Yanlin Chen, each contributing to multiple joint research projects.

The scientist's publications have appeared repeatedly in a selection of journals and publication venues, such as:

  • Mathematics and Computers in Simulation
  • International Journal of Molecular Sciences
  • Social Psychology of Education
  • ACM Transactions on Asian and Low-Resource Language Information Processing
  • Journal of Retailing and Consumer Services

In addition to journal articles, Yue Jia has also contributed to book publications. One such example is a book titled "New Media Operation Exploration of Orangelamp," published in 2022 by The School of Economics and Management, Beihang University eBooks.

Best Publications

  • An Analysis and Survey of the Development of Mutation Testing

    Yue Jia;M. Harman

  • Sapienz: multi-objective automated testing for Android applications

    Ke Mao;Mark Harman;Yue Jia

  • A Survey of App Store Analysis for Software Engineering

    William Martin;Federica Sarro;Yue Jia;Yuanyuan Zhang

  • A survey of the use of crowdsourcing in software engineering

    Ke Mao;Licia Capra;Mark Harman;Yue Jia

  • Mutation Testing Advances: An Analysis and Survey

    Mike Papadakis;Marinos Kintis;Jie Zhang;Yue Jia

  • App store mining and analysis: MSR for app stores

    Mark Harman;Yue Jia;Yuanyuan Zhang

  • Higher Order Mutation Testing

    Yue Jia;Mark Harman

  • Constructing Subtle Faults Using Higher Order Mutation Testing

    Yue Jia;M. Harman

  • Achievements, Open Problems and Challenges for Search Based Software Testing

    Mark Harman;Yue Jia;Yuanyuan Zhang

  • MILU: A Customizable, Runtime-Optimized Higher Order Mutation Testing Tool for the Full C Language

    Yue Jia;M. Harman

  • Comparing white-box and black-box test prioritization

    Christopher Henard;Mike Papadakis;Mark Harman;Yue Jia

  • Searching for better configurations: a rigorous approach to clone evaluation

    Tiantian Wang;Mark Harman;Yue Jia;Jens Krinke

  • Trivial compiler equivalence: a large scale empirical study of a simple, fast and effective equivalent mutant detection technique

    Mike Papadakis;Yue Jia;Mark Harman;Yves Le Traon

  • A study of equivalent and stubborn mutation operators using human analysis of equivalence

    Xiangjuan Yao;Mark Harman;Yue Jia

  • Strong higher order mutation-based test data generation

    Mark Harman;Yue Jia;William B. Langdon

  • Predictive Mutation Testing

    Jie Zhang;Lingming Zhang;Mark Harman;Dan Hao

  • Efficient multi-objective higher order mutation testing with genetic programming

    William B. Langdon;Mark Harman;Yue Jia

  • Search based software engineering for software product line engineering: a survey and directions for future work

    M. Harman;Y. Jia;J. Krinke;W. B. Langdon

  • Automated software transplantation

    Earl T. Barr;Mark Harman;Yue Jia;Alexandru Marginean

  • SapFix: automated end-to-end repair at scale

    Alexandru Marginean;Johannes Bader;Satish Chandra;Mark Harman

  • Predictive mutation testing

    Jie Zhang;Ziyi Wang;Lingming Zhang;Dan Hao

  • Multi Objective Higher Order Mutation Testing with Genetic Programming

    William B. Langdon;Mark Harman;Yue Jia

Frequent Co-Authors

Mark Harman
Mark Harman University College London
William B. Langdon
William B. Langdon University College London
Federica Sarro
Federica Sarro University College London
Jens Krinke
Jens Krinke University College London
Yves Le Traon
Yves Le Traon University of Luxembourg
Mike Papadakis
Mike Papadakis University of Luxembourg
David Binkley
David Binkley Loyola University Maryland
Andrea Arcuri
Andrea Arcuri Kristiania University College
Anthony Finkelstein
Anthony Finkelstein University College London
Paolo Tonella
Paolo Tonella Universita della Svizzera Italiana

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