World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
5705
World Ranking
11235
National Ranking
711

Yijun Yu 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 Yijun Yu 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: 258 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Yijun Yu 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 Yijun Yu 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Yijun Yu is affiliated with The Open University in the United Kingdom. Their research work primarily centers on computer science, with a particular focus on various subfields including artificial intelligence, information systems, software, computer networks and communications, and computer vision and pattern recognition.

The main topics covered in their work include software engineering research, software system performance and reliability, software testing and debugging techniques, security and verification in computing, advanced malware detection techniques, multimodal machine learning applications, and statistical mechanics and entropy.

Yijun Yu has contributed to multiple publications in diverse academic venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Journal of Hazardous Materials

The scientist has collaborated frequently with several co-authors, among them:

  • Lingxiao Jiang
  • Nghi D. Q. Bui
  • Huili Yan
  • Wenxiu Xu
  • Chunmiao Li

Recent selected papers by Yijun Yu include:

  • "What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis" (2020), published in Information Fusion
  • "Apigenin in cancer therapy: From mechanism of action to nano-therapeutic agent" (2022), published in Food and Chemical Toxicology
  • "TreeCaps: Tree-Based Capsule Networks for Source Code Processing" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "The case for Zero Trust Digital Forensics" (2022), published in Forensic Science International Digital Investigation

Best Publications

  • Black phosphorus field-effect transistors

    Likai Li;Yijun Yu;Guo Jun Ye;Qingqin Ge

  • Gate-tunable phase transitions in thin flakes of 1T-TaS2

    Yijun Yu;Fangyuan Yang;Xiu Fang Lu;Ya Jun Yan

  • From goals to aspects: discovering aspects from requirements goal models

    Yijun Yu;J.C.S.P. Leite;J. Mylopoulos

  • On Goal-based Variability Acquisition and Analysis

    S. Liaskos;A. Lapouchnian;Yijun Yu;E. Yu

  • Adaptive Model-Driven User Interface Development Systems

    Pierre A. Akiki;Arosha K. Bandara;Yijun Yu

  • Requirements-driven design and configuration management of business processes

    Alexei Lapouchnian;Yijun Yu;John Mylopoulos

  • Edge detection in ultrasound imagery using the instantaneous coefficient of variation

    Yongjian Yu;S.T. Acton

  • Exploring the Influence of Identifier Names on Code Quality: An Empirical Study

    Simon Butler;Michel Wermelinger;Yijun Yu;Helen Sharp

  • Strain-Modulated Bandgap and Piezo-Resistive Effect in Black Phosphorus Field-Effect Transistors

    Zuocheng Zhang;Likai Li;Jason Horng;Nai Zhou Wang

  • Requirements-driven design of autonomic application software

    Alexei Lapouchnian;Yijun Yu;Sotirios Liaskos;John Mylopoulos

  • Reverse engineering goal models from legacy code

    Yijun Yu;Yiqiao Wang;J. Mylopoulos;S. Liaskos

  • Specifying Monitoring and Switching Problems in Context

    M. Salifu;Yijun Yu;B. Nuseibeh

  • From goals to high-variability software design

    Yijun Yu;Alexei Lapouchnian;Sotirios Liaskos;John Mylopoulos

  • Relating Identifier Naming Flaws and Code Quality: An Empirical Study

    Simon Butler;Michel Wermelinger;Yijun Yu;Helen Sharp

  • Towards requirements-driven autonomic systems design

    Alexei Lapouchnian;Sotirios Liaskos;John Mylopoulos;Yijun Yu

  • InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees

    Nghi D. Q. Bui;Yijun Yu;Lingxiao Jiang

  • Configuring features with stakeholder goals

    Yijun Yu;Julio Cesar Sampaio do Prado Leite;Alexei Lapouchnian;John Mylopoulos

  • An automated approach to monitoring and diagnosing requirements

    Yiqiao Wang;Sheila A. McIlraith;Yijun Yu;John Mylopoulos

  • Monitoring and diagnosing software requirements

    Yiqiao Wang;Sheila A. Mcilraith;Yijun Yu;John Mylopoulos

  • Automated delineation of coastline from polarimetric SAR imagery

    Y. Yu;S. T. Acton

  • What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis

    Dimitrios Gkoumas;Qiuchi Li;Christina Lioma;Yijun Yu

  • Text Filtering and Ranking for Security Bug Report Prediction

    Fayola Peters;Thein Than Tun;Yijun Yu;Bashar Nuseibeh

  • Quality-based software reuse

    Julio Cesar Sampaio do Prado Leite;Yijun Yu;Lin Liu;Eric S. K. Yu

  • On the generalizability of Neural Program Models with respect to semantic-preserving program transformations

    Rafiqul Islam Rabin;Nghi D.Q. Bui;Ke Wang;Yijun Yu

  • Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations

    Nghi D. Q. Bui;Yijun Yu;Lingxiao Jiang

Frequent Co-Authors

Bashar Nuseibeh
Bashar Nuseibeh The Open University
John Mylopoulos
John Mylopoulos University of Ottawa
Xianhui Chen
Xianhui Chen University of Science and Technology of China
Xin Peng
Xin Peng Fudan University
Lingxiao Jiang
Lingxiao Jiang Singapore Management University
Zhenjiang Hu
Zhenjiang Hu Peking University
Jan Jürjens
Jan Jürjens University of Koblenz and Landau
Julio Cesar Sampaio do Prado Leite
Julio Cesar Sampaio do Prado Leite Pontifical Catholic University of Rio de Janeiro
Nan Niu
Nan Niu University of North Florida
Helen Sharp
Helen Sharp The Open University

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