World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5245
World Ranking
13047
National Ranking
1596

Dingqi 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 Dingqi 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: 95 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Dingqi 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 Dingqi 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Dingqi Yang is affiliated with the University of Macau in China and has contributed extensively to research in computer science and social sciences, with a particular focus on artificial intelligence, transportation, and their applications. Their body of work includes 52 publications in computer science and 28 in social sciences, reflecting a multidisciplinary approach.

Their research spans several subfields, including:

  • Artificial Intelligence
  • Transportation
  • Statistical and Nonlinear Physics
  • Computer Science Applications
  • Building and Construction

The main topics explored in their work cover areas such as:

  • Human Mobility and Location-Based Analysis
  • Complex Network Analysis Techniques
  • Mobile Crowdsensing and Crowdsourcing
  • Traffic Prediction and Management Techniques
  • Advanced Graph Neural Networks
  • Urban Transport and Accessibility
  • Topic Modeling

Dingqi Yang has published frequently in a variety of venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Mobile Computing
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • ACM Transactions on Intelligent Systems and Technology

Their recent papers include:

  • "LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks," 2020, IEEE Transactions on Knowledge and Data Engineering
  • "Towards Robust Task Assignment in Mobile Crowdsensing Systems," 2022, IEEE Transactions on Mobile Computing
  • "Data-Driven C-RAN Optimization Exploiting Traffic and Mobility Dynamics of Mobile Users," 2020, IEEE Transactions on Mobile Computing
  • "Sparse Mobile Crowdsensing With Differential and Distortion Location Privacy," 2020, IEEE Transactions on Information Forensics and Security
  • "A Survey on Hypergraph Representation Learning," 2023, ACM Computing Surveys

Dingqi Yang frequently collaborates with a number of researchers, including:

  • Bingqing Qu
  • Philippe Cudré-Mauroux
  • Bangchao Deng
  • Liang Wang
  • Zhiwen Yu

Best Publications

  • Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs

    Dingqi Yang;Daqing Zhang;Vincent W. Zheng;Zhiyong Yu

  • Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks

    Dingqi Yang;Daqing Zhang;Bingqing Qu

  • Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach

    Dingqi Yang;Bingqing Qu;Jie Yang;Philippe Cudre-Mauroux

  • A sentiment-enhanced personalized location recommendation system

    Dingqi Yang;Daqing Zhang;Zhiyong Yu;Zhu Wang

  • Dynamic cluster-based over-demand prediction in bike sharing systems

    Longbiao Chen;Daqing Zhang;Leye Wang;Dingqi Yang

  • CCS-TA: quality-guaranteed online task allocation in compressive crowdsensing

    Leye Wang;Daqing Zhang;Animesh Pathak;Chao Chen

  • Location Privacy-Preserving Task Allocation for Mobile Crowdsensing with Differential Geo-Obfuscation

    Leye Wang;Dingqi Yang;Xiao Han;Tianben Wang

  • Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States!

    Dingqi Yang;Benjamin Fankhauser;Paolo Rosso;Philippe Cudre-Mauroux

  • NationTelescope: Monitoring and visualizing large-scale collective behavior in LBSNs

    Dingqi Yang;Dingqi Yang;Daqing Zhang;Longbiao Chen;Bingqing Qu

  • Discovering and Profiling Overlapping Communities in Location-Based Social Networks

    Zhu Wang;Daqing Zhang;Xingshe Zhou;Dingqi Yang

  • Bike sharing station placement leveraging heterogeneous urban open data

    Longbiao Chen;Daqing Zhang;Gang Pan;Xiaojuan Ma

  • Beyond Triplets: Hyper-Relational Knowledge Graph Embedding for Link Prediction

    Paolo Rosso;Dingqi Yang;Philippe Cudré-Mauroux

  • Are Meta-Paths Necessary?: Revisiting Heterogeneous Graph Embeddings

    Rana Hussein;Dingqi Yang;Philippe Cudré-Mauroux

  • Sparse Mobile Crowdsensing With Differential and Distortion Location Privacy

    Leye Wang;Daqing Zhang;Dingqi Yang;Brian Y. Lim

  • Fine-grained preference-aware location search leveraging crowdsourced digital footprints from LBSNs

    Dingqi Yang;Daqing Zhang;Zhiyong Yu;Zhiwen Yu

  • Differential Location Privacy for Sparse Mobile Crowdsensing

    Leye Wang;Daqing Zhang;Dingqi Yang;Brian Y. Lim

  • SPACE-TA: Cost-Effective Task Allocation Exploiting Intradata and Interdata Correlations in Sparse Crowdsensing

    Leye Wang;Daqing Zhang;Dingqi Yang;Animesh Pathak

  • Deep mobile traffic forecast and complementary base station clustering for C-RAN optimization

    Longbiao Chen;Longbiao Chen;Dingqi Yang;Daqing Zhang;Cheng Wang

  • Privacy-Preserving Social Media Data Publishing for Personalized Ranking-Based Recommendation

    Dingqi Yang;Bingqing Qu;Philippe Cudre-Mauroux

  • CrimeTelescope: crime hotspot prediction based on urban and social media data fusion

    Dingqi Yang;Terence Heaney;Alberto Tonon;Leye Wang

  • LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks

    Dingqi Yang;Bingqing Qu;Jie Yang;Philippe Cudre-Mauroux

Frequent Co-Authors

Daqing Zhang
Daqing Zhang Peking University
Philippe Cudré-Mauroux
Philippe Cudré-Mauroux University of Fribourg
Zhiwen Yu
Zhiwen Yu Northwestern Polytechnical University
Leye Wang
Leye Wang Peking University
Bin Guo
Bin Guo Northwestern Polytechnical University
Gang Pan
Gang Pan Zhejiang University
Cheng Wang
Cheng Wang Xiamen University
Huadong Ma
Huadong Ma Beijing University of Posts and Telecommunications
Zheng Yan
Zheng Yan Xidian University
Tian Wang
Tian Wang Beijing Normal University

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