World's Best Scientists 2026 revealed!
Cheng-Zhong Xu

Cheng-Zhong Xu

D-Index & Metrics

Computer Science

D-Index
72
Citations
17665
World Ranking
1704
National Ranking
232

Cheng-Zhong 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 Cheng-Zhong 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: 578 publications — 96th percentile

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

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

Cheng-Zhong 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 Cheng-Zhong 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: 72 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Overview

Cheng-Zhong Xu is affiliated with the University of Macau in China and specializes in the fields of Computer Science and Engineering. Their research output spans 527 publications in Computer Science and 240 in Engineering, reflecting a diverse and interdisciplinary focus.

The scientist's main areas of study encompass several subfields including:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Automotive Engineering

Their research topics are centered around:

  • Advanced Neural Network Applications
  • Cloud Computing and Resource Management
  • IoT and Edge/Fog Computing
  • Autonomous Vehicle Technology and Safety
  • Traffic Prediction and Management Techniques
  • Robotics and Sensor-Based Localization
  • Domain Adaptation and Few-Shot Learning

Among their recent publications are:

  • "FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction" (2022), published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey" (2020), published in IEEE Transactions on Intelligent Transportation Systems
  • "CrackFormer: Transformer Network for Fine-Grained Crack Detection" (2021), published in the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Robust Actor-Critic Learning for Continuous-Time Nonlinear Systems With Unmodeled Dynamics" (2021), published in IEEE Transactions on Fuzzy Systems
  • "Serverless Computing: State-of-the-Art, Challenges and Opportunities" (2022), published in IEEE Transactions on Services Computing

Cheng-Zhong Xu frequently collaborates with several researchers, including:

  • Kejiang Ye
  • Zhenning Li
  • Minxian Xu
  • Haicheng Liao
  • Yang Wang

Publication venues where Cheng-Zhong Xu has contributed multiple papers include:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Parallel and Distributed Systems
  • Proceedings of the AAAI Conference on Artificial Intelligence

In addition to journal and conference articles, Xu has contributed to book publications. Notably, Xu has authored a book published by Springer Science+Business Media titled "Web Services - ICWS 2021" (2022).

Best Publications

  • Performance and energy modeling for live migration of virtual machines

    Haikun Liu;Cheng-Zhong Xu;Hai Jin;Jiayu Gong

  • Performance and energy modeling for live migration of virtual machines

    Haikun Liu;Hai Jin;Cheng-Zhong Xu;Xiaofei Liao

  • Load Balancing in Parallel Computers: Theory and Practice

    Chengzhong Xu;Francis C. Lau

  • VCONF: a reinforcement learning approach to virtual machines auto-configuration

    Jia Rao;Xiangping Bu;Cheng-Zhong Xu;Leyi Wang

  • An overview of energy efficiency techniques in cluster computing systems

    Giorgio Luigi Valentini;Walter Lassonde;Samee Ullah Khan;Nasro Min-Allah

  • Exploring event correlation for failure prediction in coalitions of clusters

    Song Fu;Cheng-Zhong Xu

  • How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey

    Jiexia Ye;Juanjuan Zhao;Kejiang Ye;Chengzhong Xu

  • Dynamic Channel Pruning: Feature Boosting and Suppression

    Xitong Gao;Yiren Zhao;Łukasz Dudziak;Robert Mullins

  • Energy-aware parallel task scheduling in a cluster

    Lizhe Wang;Lizhe Wang;Samee U. Khan;Dan Chen;Joanna KołOdziej

  • Real-Time Charging Station Recommendation System for Electric-Vehicle Taxis

    Zhiyong Tian;Taeho Jung;Yi Wang;Fan Zhang

  • LiDAR Iris for Loop-Closure Detection

    Ying Wang;Zezhou Sun;Cheng-Zhong Xu;Sanjay E. Sarma

  • Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis

    Shutian Luo;Huanle Xu;Chengzhi Lu;Kejiang Ye

  • Detecting Sybil attacks in VANETs

    Bo Yu;Cheng-Zhong Xu;Bin Xiao

  • URL: A unified reinforcement learning approach for autonomic cloud management

    Cheng-Zhong Xu;Jia Rao;Xiangping Bu

  • FFD: A Federated Learning Based Method for Credit Card Fraud Detection

    Wensi Yang;Yuhang Zhang;Kejiang Ye;Li Li

  • A survey on resource allocation in high performance distributed computing systems

    Hameed Hussain;Saif Ur Rehman Malik;Abdul Hameed;Samee Ullah Khan

  • Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data

    Juanjuan Zhao;Qiang Qu;Fan Zhang;Chengzhong Xu

  • Serverless Computing: State-of-the-Art, Challenges and Opportunities

    Unknown

  • Cycloid: a constant-degree and lookup-efficient P2P overlay network

    Haiying Shen;Cheng-Zhong Xu;Guihai Chen

  • Imbalance in the cloud: An analysis on Alibaba cluster trace

    Chengzhi Lu;Kejiang Ye;Guoyao Xu;Cheng-Zhong Xu

  • Exploring human mobility with multi-source data at extremely large metropolitan scales

    Desheng Zhang;Jun Huang;Ye Li;Fan Zhang

  • Live Virtual Machine Migration via Asynchronous Replication and State Synchronization

    Haikun Liu;Hai Jin;Xiaofei Liao;Chen Yu

  • A survey on text mining in social networks

    Rizwana Irfan;Christine K. King;Daniel Grages;Sam J. Ewen

Frequent Co-Authors

Samee U. Khan
Samee U. Khan Mississippi State University
Xiaobo Zhou
Xiaobo Zhou The University of Texas Health Science Center at Houston
Haiying Shen
Haiying Shen University of Virginia
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Le Yi Wang
Le Yi Wang Wayne State University
George Yin
George Yin University of Connecticut
Lieven Eeckhout
Lieven Eeckhout Ghent University
Dejing Dou
Dejing Dou University of Oregon
Francis C. M. Lau
Francis C. M. Lau Hong Kong Polytechnic University
Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University

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