World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
7120
World Ranking
6564
National Ranking
1219

Xinyang Deng publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Xinyang Deng sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 180 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Xinyang Deng D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Xinyang Deng sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Xinyang Deng is affiliated with Northwestern Polytechnical University in China. Their research primarily spans the fields of Computer Science, Engineering, and Decision Sciences, with particular emphasis on artificial intelligence and operations research. The scientist's work encompasses multiple specialized subfields including Artificial Intelligence, Management Science and Operations Research, Control and Systems Engineering, Aerospace Engineering, and Computational Theory and Mathematics.

The main research topics explored by Xinyang Deng include Multi-Criteria Decision Making, Bayesian Modeling and Causal Inference, Rough Sets and Fuzzy Logic, Target Tracking and Data Fusion in Sensor Networks, Anomaly Detection Techniques and Applications, Fault Detection and Control Systems, and Domain Adaptation and Few-Shot Learning.

Notable recent publications authored or co-authored by Xinyang Deng are:

  • "Multi-Scale Metric Learning for Few-Shot Learning," 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • "Transfer Learning for SAR Image Classification Via Deep Joint Distribution Adaptation Networks," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "A novel quantum model of mass function for uncertain information fusion," 2022, Information Fusion
  • "Local and global stimuli in reinforcement learning," 2021, New Journal of Physics
  • "A new belief divergence measure for Dempster-Shafer theory based on belief and plausibility function and its application in multi-source data fusion," 2020, Engineering Applications of Artificial Intelligence

Xinyang Deng frequently collaborates with a number of researchers, including:

  • Wen Jiang
  • Jie Geng
  • Fanghui Huang
  • Hongfei Wang
  • Xiang Li

The venues where Xinyang Deng's research has been published regularly include:

  • Information Sciences
  • Engineering Applications of Artificial Intelligence
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • Chinese Journal of Aeronautics
  • SSRN Electronic Journal

Best Publications

  • An improved method to construct basic probability assignment based on the confusion matrix for classification problem

    Xinyang Deng;Qi Liu;Yong Deng;Sankaran Mahadevan

  • Supplier selection using AHP methodology extended by D numbers

    Xinyang Deng;Yong Hu;Yong Deng;Yong Deng;Sankaran Mahadevan

  • Multi-Scale Metric Learning for Few-Shot Learning

    Wen Jiang;Kai Huang;Jie Geng;Xinyang Deng

  • Identifying influential nodes in weighted networks based on evidence theory

    Daijun Wei;Daijun Wei;Xinyang Deng;Xiaoge Zhang;Yong Deng;Yong Deng

  • A Novel Z -Network Model Based on Bayesian Network and Z -Number

    Wen Jiang;Ying Cao;Xinyang Deng

  • D-DEMATEL: a new method to identify critical success factors in emergency management

    Xinyi Zhou;Yangqiuyan Shi;Xinyang Deng;Yong Deng

  • Environmental impact assessment based on D numbers

    Xinyang Deng;Yong Hu;Yong Deng;Yong Deng;Sankaran Mahadevan

  • Assessment of E-Commerce security using AHP and evidential reasoning

    Yajuan Zhang;Xinyang Deng;Daijun Wei;Yong Deng

  • Evidence Combination From an Evolutionary Game Theory Perspective

    Xinyang Deng;Deqiang Han;Jean Dezert;Yong Deng

  • D-AHP method with different credibility of information

    Xinyang Deng;Xinyang Deng;Yong Deng;Yong Deng

  • Zero-sum polymatrix games with link uncertainty: A Dempster-Shafer theory solution

    Xinyang Deng;Wen Jiang;Zhen Wang

  • Dependence assessment in human reliability analysis based on D numbers and AHP

    Xinyi Zhou;Xinyang Deng;Yong Deng;Yong Deng;Sankaran Mahadevan

  • Evaluating Green Supply Chain Management Practices Under Fuzzy Environment: A Novel Method Based on D Number Theory

    Xinyang Deng;Wen Jiang

  • A novel quantum model of mass function for uncertain information fusion

    Unknown

  • Reliability analysis with linguistic data: An evidential network approach

    Xiaoge Zhang;Sankaran Mahadevan;Xinyang Deng;Xinyang Deng

  • The Negation of a Basic Probability Assignment

    Likang Yin;Xinyang Deng;Yong Deng

  • D number theory based game-theoretic framework in adversarial decision making under a fuzzy environment

    Xinyang Deng;Wen Jiang

  • A novel method to use fuzzy soft sets in decision making based on ambiguity measure and Dempster–Shafer theory of evidence: An application in medical diagnosis

    Jianwei Wang;Yong Hu;Fuyuan Xiao;Xinyang Deng;Xinyang Deng

  • Transfer Learning for SAR Image Classification Via Deep Joint Distribution Adaptation Networks

    Jie Geng;Xinyang Deng;Xiaorui Ma;Wen Jiang

  • An Evidential Axiomatic Design Approach for Decision Making Using the Evaluation of Belief Structure Satisfaction to Uncertain Target Values

    Xinyang Deng;Wen Jiang

  • An improved distance-based total uncertainty measure in belief function theory

    Xinyang Deng;Fuyuan Xiao;Yong Deng

  • Dependence assessment in human reliability analysis using an evidential network approach extended by belief rules and uncertainty measures

    Xinyang Deng;Wen Jiang

Frequent Co-Authors

Yong Deng
Yong Deng University of Electronic Science and Technology of China
Sankaran Mahadevan
Sankaran Mahadevan Vanderbilt University
Yong Hu
Yong Hu University of Hong Kong
Felix T.S. Chan
Felix T.S. Chan Macau University of Science and Technology
Rehan Sadiq
Rehan Sadiq University of British Columbia
Wen Jiang
Wen Jiang Northwestern Polytechnical University
Yu Shyr
Yu Shyr Vanderbilt University Medical Center
Matjaž Perc
Matjaž Perc University of Maribor
Jean Dezert
Jean Dezert Office National d'Études et de Recherches Aérospatiales

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