World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
11816
World Ranking
4101
National Ranking
544

Yanmin Zhu 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 Yanmin Zhu 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: 356 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Yanmin Zhu 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 Yanmin Zhu 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

Yanmin Zhu is a researcher affiliated with Shanghai Jiao Tong University in China, with a substantial body of work in computer science and engineering. Their research spans multiple subfields including artificial intelligence, information systems, computer networks and communications, electrical and electronic engineering, and computer vision and pattern recognition.

Their scholarly contributions have appeared frequently in notable publication venues, which include:

  • IEEE Transactions on Mobile Computing
  • ACM Transactions on Information Systems
  • ACM Transactions on Knowledge Discovery from Data
  • Information Sciences
  • IEEE Internet of Things Journal

Zhu's research topics cover a range of areas, notably:

  • Recommender Systems and Techniques
  • Advanced Graph Neural Networks
  • Topic Modeling
  • Human Mobility and Location-Based Analysis
  • Mobile Crowdsensing and Crowdsourcing
  • Advanced Bandit Algorithms Research
  • IoT and Edge/Fog Computing

Among their recent papers are:

  • "A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions" (2022), published in ACM Transactions on Information Systems
  • "Deep Reinforcement Learning Based Approach for Online Service Placement and Computation Resource Allocation in Edge Computing" (2022), published in IEEE Transactions on Mobile Computing
  • "Online Computation Offloading and Resource Scheduling in Mobile-Edge Computing" (2021), published in IEEE Internet of Things Journal
  • "Contrastive Self-supervised Learning in Recommender Systems: A Survey" (2023), published in ACM Transactions on Information Systems
  • "Learning Graph-based Disentangled Representations for Next POI Recommendation" (2022), published in Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Frequent collaborators of Yanmin Zhu include:

  • Jiadi Yu
  • Feilong Tang
  • Tianzi Zang
  • Chunyang Wang
  • Haobing Liu

The scope and variety of these coauthors indicate a collaborative approach in advancing research on topics such as recommendation systems, edge computing, and mobile computing. Zhu's publication record demonstrates ongoing engagement with both theoretical and applied domains within computer science and engineering.

Best Publications

  • TRAC: Truthful Auction for Location-Aware Collaborative Sensing in Mobile Crowdsourcing

    Zhenni Feng;Yanmin Zhu;Qian Zhang;Lionel Ming-Shuan Ni

  • CoLight: Learning Network-level Cooperation for Traffic Signal Control

    Hua Wei;Nan Xu;Huichu Zhang;Guanjie Zheng

  • Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction

    Ahmad Ali;Yanmin Zhu;Muhammad Zakarya

  • CDC : Compressive Data Collection for Wireless Sensor Networks

    Xiao-Yang Liu;Yanmin Zhu;Linghe Kong;Cong Liu

  • Recognizing Exponential Inter-Contact Time in VANETs

    Hongzi Zhu;Luoyi Fu;Guangtao Xue;Yanmin Zhu

  • A Survey on Trajectory Data Mining: Techniques and Applications

    Zhenni Feng;Yanmin Zhu

  • Diagnosing New York city's noises with ubiquitous data

    Yu Zheng;Tong Liu;Yilun Wang;Yanmin Zhu

  • Toward Secure Multikeyword Top-k Retrieval over Encrypted Cloud Data

    Jiadi Yu;Peng Lu;Yanmin Zhu;Guangtao Xue

  • POST: Exploiting Dynamic Sociality for Mobile Advertising in Vehicular Networks

    Jun Qin;Hongzi Zhu;Yanmin Zhu;Li Lu

  • A Compressive Sensing Approach to Urban Traffic Estimation with Probe Vehicles

    Yanmin Zhu;Zhi Li;Hongzi Zhu;Minglu Li

  • Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks

    Ahmad Ali;Yanmin Zhu;Muhammad Zakarya

  • Mining large-scale, sparse GPS traces for map inference: comparison of approaches

    Xuemei Liu;James Biagioni;Jakob Eriksson;Yin Wang

  • A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing

    Ahmad Ali;Yanmin Zhu;Muhammad Zakarya

  • A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations

    Weiyu Cheng;Yanyan Shen;Yanmin Zhu;Linpeng Huang

  • SenSpeed: Sensing Driving Conditions to Estimate Vehicle Speed in Urban Environments

    Jiadi Yu;Hongzi Zhu;Haofu Han;Yingying Jennifer Chen

  • An Indirect Eavesdropping Attack of Keystrokes on Touch Screen through Acoustic Sensing

    Jiadi Yu;Li Lu;Yingying Chen;Yanmin Zhu

  • SenSpeed: Sensing driving conditions to estimate vehicle speed in urban environments

    Haofu Han;Jiadi Yu;Hongzi Zhu;Yingying Chen

  • Predicting Multi-step Citywide Passenger Demands Using Attention-based Neural Networks

    Xian Zhou;Yanyan Shen;Yanmin Zhu;Linpeng Huang

  • Fine-Grained Abnormal Driving Behaviors Detection and Identification with Smartphones

    Jiadi Yu;Zhongyang Chen;Yanmin Zhu;Yingying Jennifer Chen

  • CrowdAtlas: self-updating maps for cloud and personal use

    Yin Wang;Xuemei Liu;Hong Wei;George Forman

Frequent Co-Authors

Jiadi Yu
Jiadi Yu Shanghai Jiao Tong University
Minglu Li
Minglu Li Zhejiang Normal University
Lionel M. Ni
Lionel M. Ni Hong Kong University of Science and Technology (Guangzhou)
Hongzi Zhu
Hongzi Zhu Shanghai Jiao Tong University
Yingying Chen
Yingying Chen Rutgers, The State University of New Jersey
Min-You Wu
Min-You Wu Shanghai Jiao Tong University
Yuanyuan Yang
Yuanyuan Yang Stony Brook University
Yunhao Liu
Yunhao Liu Tsinghua University
Linghe Kong
Linghe Kong Shanghai Jiao Tong University
Fan Ye
Fan Ye Stony Brook University

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