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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
91
Citations
48344
World Ranking
567
National Ranking
78

Yu Zheng 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 Yu Zheng 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: 245 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Yu Zheng 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 Yu Zheng 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: 91 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2016 - ACM Distinguished Member
  • 2011 - ACM Senior Member

Overview

Yu Zheng is affiliated with Jingdong in China and has contributed extensively to the fields of Computer Science and Engineering. Their research spans multiple subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Building and Construction, Signal Processing, and Transportation.

The primary topics of Yu Zheng's work include:

  • Traffic Prediction and Management Techniques
  • Human Mobility and Location-Based Analysis
  • Anomaly Detection Techniques and Applications
  • Data Management and Algorithms
  • Time Series Analysis and Forecasting
  • Transportation Planning and Optimization
  • Data-Driven Disease Surveillance

Recent publications by Yu Zheng cover advances in urban computing, traffic forecasting, and environmental prediction. Significant papers include:

  • "Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey" (2023), published in IEEE Transactions on Knowledge and Data Engineering
  • "Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Spatio-Temporal Meta Learning for Urban Traffic Prediction" (2020), published in IEEE Transactions on Knowledge and Data Engineering
  • "Federated Forest" (2020), published in IEEE Transactions on Big Data
  • "AirFormer: Predicting Nationwide Air Quality in China with Transformers" (2023), published in Proceedings of the AAAI Conference on Artificial Intelligence

Frequent co-authors collaborating with Yu Zheng include Junbo Zhang, Yuxuan Liang, Ruiyuan Li, Jie Bao, and Tianrui Li. These collaborations reflect a network of researchers working extensively in related areas of data science and urban computing.

Yu Zheng's work is frequently published in venues such as:

  • IEEE Transactions on Knowledge and Data Engineering
  • arXiv (Cornell University)
  • IEEE Transactions on Big Data
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Visualization and Computer Graphics

The scientist has been recognized by professional organizations, receiving distinctions including the ACM Senior Member status in 2011 and ACM Distinguished Member status in 2016.

Best Publications

  • Mining interesting locations and travel sequences from GPS trajectories

    Yu Zheng;Lizhu Zhang;Xing Xie;Wei-Ying Ma

  • Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

    Junbo Zhang;Yu Zheng;Dekang Qi

  • Trajectory Data Mining: An Overview

    Yu Zheng

  • Urban Computing: Concepts, Methodologies, and Applications

    Yu Zheng;Licia Capra;Ouri Wolfson;Hai Yang

  • GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory.

    Yu Zheng;Xing Xie;Wei-Ying Ma

  • Understanding mobility based on GPS data

    Yu Zheng;Quannan Li;Yukun Chen;Xing Xie

  • T-drive: driving directions based on taxi trajectories

    Jing Yuan;Yu Zheng;Chengyang Zhang;Wenlei Xie

  • Discovering regions of different functions in a city using human mobility and POIs

    Jing Yuan;Yu Zheng;Xing Xie

  • U-Air: when urban air quality inference meets big data

    Yu Zheng;Furui Liu;Hsun-Ping Hsieh

  • Map-matching for low-sampling-rate GPS trajectories

    Yin Lou;Chengyang Zhang;Yu Zheng;Xing Xie

  • Driving with knowledge from the physical world

    Jing Yuan;Yu Zheng;Xing Xie;Guangzhong Sun

  • Mining user similarity based on location history

    Quannan Li;Yu Zheng;Xing Xie;Yukun Chen

  • Location-based and preference-aware recommendation using sparse geo-social networking data

    Jie Bao;Yu Zheng;Mohamed F. Mokbel

  • Collaborative location and activity recommendations with GPS history data

    Vincent W. Zheng;Yu Zheng;Xing Xie;Qiang Yang

  • Learning transportation mode from raw gps data for geographic applications on the web

    Yu Zheng;Like Liu;Longhao Wang;Xing Xie

  • Computing with Spatial Trajectories

    Yu Zheng;Xiaofang Zhou

  • DNN-based prediction model for spatio-temporal data

    Junbo Zhang;Yu Zheng;Dekang Qi;Ruiyuan Li

  • Urban computing with taxicabs

    Yu Zheng;Yanchi Liu;Jing Yuan;Xing Xie

  • Recommending friends and locations based on individual location history

    Yu Zheng;Lizhu Zhang;Zhengxin Ma;Xing Xie

  • T-share: A large-scale dynamic taxi ridesharing service

    Shuo Ma;Yu Zheng;O. Wolfson

Frequent Co-Authors

Xing Xie
Xing Xie Microsoft Research Asia (China)
Wei-Ying Ma
Wei-Ying Ma Tsinghua University
Tianrui Li
Tianrui Li Southwest Jiaotong University
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Nicholas Jing Yuan
Nicholas Jing Yuan Microsoft (United States)
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Eric Chang
Eric Chang Microsoft (United States)
Yong Yu
Yong Yu Shanghai Jiao Tong University
Ouri Wolfson
Ouri Wolfson University of Illinois at Chicago
Wen-Chih Peng
Wen-Chih Peng National Yang Ming Chiao Tung University

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