World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
12476
World Ranking
4079
National Ranking
246

Dong-Ling Xu 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 Dong-Ling Xu 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: 197 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Dong-Ling Xu 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 Dong-Ling Xu 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Dong-Ling Xu is affiliated with the University of Manchester in the United Kingdom. Their scholarly contributions span multiple areas within computer science and engineering, focusing on artificial intelligence, decision-making methodologies, and applications in healthcare and engineering systems.

The primary fields of study for Dong-Ling Xu include:

  • Computer Science
  • Engineering

Within these fields, their research covers several subfields such as:

  • Artificial Intelligence
  • Management Science and Operations Research
  • Mechanical Engineering
  • Emergency Medicine
  • Computational Theory and Mathematics

Their work addresses key topics including:

  • Multi-Criteria Decision Making
  • Bayesian Modeling and Causal Inference
  • Rough Sets and Fuzzy Logic
  • Trauma and Emergency Care Studies
  • Lubricants and Their Additives
  • Tribology and Lubrication Engineering
  • Explainable Artificial Intelligence (XAI)

Dong-Ling Xu has published extensively in several academic venues, with frequent publications appearing in:

  • Developments of Artificial Intelligence Technologies in Computation and Robotics
  • Applied Soft Computing
  • Expert Systems with Applications
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • Knowledge-Based Systems

Examples of notable published papers include:

  • Evidential reasoning for preprocessing uncertain categorical data for trustworthy decisions: An application on healthcare and finance, 2021, Expert Systems with Applications
  • Evidential Reasoning Rule-Based Decision Support System for Predicting ICU Admission and In-Hospital Death of Trauma, 2020, IEEE Transactions on Systems Man and Cybernetics Systems
  • An evidential reasoning approach based on risk attitude and criterion reliability, 2020, Knowledge-Based Systems
  • Wear monitoring method of water-lubricated polymer thrust bearing based on ultrasonic reflection coefficient amplitude spectrum, 2023, Friction
  • An evidential reasoning rule based feature selection for improving trauma outcome prediction, 2021, Applied Soft Computing

Collaborative work is another significant aspect of Dong-Ling Xu's research. Frequent coauthors include:

  • Jianbo Yang
  • Jian-Bo Yang
  • Swati Sachan
  • Fatima Almaghrabi
  • Chao Fu

Best Publications

  • On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty

    Jian-Bo Yang;Dong-Ling Xu

  • Evidential reasoning rule for evidence combination

    Jian-Bo Yang;Dong-Ling Xu

  • Environmental impact assessment using the evidential reasoning approach

    Ying Ming Wang;Ying Ming Wang;Jian Bo Yang;Dong Ling Xu

  • On the centroids of fuzzy numbers

    Ying-Ming Wang;Jian-Bo Yang;Dong-Ling Xu;Kwai-Sang Chin

  • The evidential reasoning approach for MADA under both probabilistic and fuzzy uncertainties

    Jian-Bo Yang;Jian-Bo Yang;Y. M. Wang;Y. M. Wang;Dong-Ling Xu;Kwai-Sang Chin

  • A two-stage logarithmic goal programming method for generating weights from interval comparison matrices

    Ying-Ming Wang;Jian-Bo Yang;Dong-Ling Xu

  • Inference and learning methodology of belief-rule-based expert system for pipeline leak detection

    Dong Ling Xu;Jun Liu;Jian Bo Yang;Guo Ping Liu;Guo Ping Liu;Guo Ping Liu

  • The evidential reasoning approach for multiple attribute decision analysis using interval belief degrees

    Ying Ming Wang;Ying Ming Wang;Ying Ming Wang;Jian Bo Yang;Dong Ling Xu;Kwai Sang Chin

  • A preference aggregation method through the estimation of utility intervals

    Ying-Ming Wang;Jian-Bo Yang;Dong-Ling Xu

  • Optimization Models for Training Belief-Rule-Based Systems

    Jian-Bo Yang;Jun Liu;Dong-Ling Xu;Jin Wang

  • The evidential reasoning approach for multi-attribute decision analysis under interval uncertainty

    Dong Ling Xu;Jian Bo Yang;Ying Ming Wang

  • Nonlinear information aggregation via evidential reasoning in multiattribute decision analysis under uncertainty

    Jian-Bo Yang;Dong-Ling Xu

  • A methodology to model causal relationships on offshore safety assessment focusing on human and organizational factors.

    Jianhua Ren;I. Jenkinson;Jiangping Wang;D. L. Xu

  • Interval weight generation approaches based on consistency test and interval comparison matrices

    Ying-Ming Wang;Jian-Bo Yang;Dong-Ling Xu

  • Clinical Decision Support Systems: A Review on Knowledge Representation and Inference Under Uncertainties

    Guilan Kong;Dong Ling Xu;Jian Bo Yang

  • An Offshore Risk Analysis Method Using Fuzzy Bayesian Network

    J. Ren;I. Jenkinson;J. Wang;D. L. Xu

  • Data classification using evidence reasoning rule

    Xiaobin Xu;Jin Zheng;Jian-bo Yang;Dong-ling Xu

  • Circuit Tolerance Design Using Belief Rule Base

    Xiao-Bin Xu;Zheng Liu;Yu-Wang Chen;Dong-Ling Xu

  • A model for real-time failure prognosis based on hidden Markov model and belief rule base

    Zhi Jie Zhou;Zhi Jie Zhou;Chang Hua Hu;Dong Ling Xu;Mao Yin Chen

  • A Belief Rule-Based Expert System for Fault Diagnosis of Marine Diesel Engines

    Xiaojian Xu;Xinping Yan;Chenxing Sheng;Chengqing Yuan

  • A belief rule-based decision support system for clinical risk assessment of cardiac chest pain

    Guilan Kong;Dong Ling Xu;Richard Body;Jian Bo Yang

Frequent Co-Authors

Jian-Bo Yang
Jian-Bo Yang University of Manchester
Ying-Ming Wang
Ying-Ming Wang Fuzhou University
Kwai-Sang Chin
Kwai-Sang Chin City University of Hong Kong
Huchang Liao
Huchang Liao Sichuan University
José M. Merigó
José M. Merigó University of Technology Sydney
Guo-Ping Liu
Guo-Ping Liu Southern University of Science and Technology
Donghua Zhou
Donghua Zhou Shandong University of Science and Technology
Jin Wang
Jin Wang Liverpool John Moores University
Francisco Herrera
Francisco Herrera University of Granada
Zeshui Xu
Zeshui Xu Sichuan University

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