World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
21434
World Ranking
3179
National Ranking
425

Xu Chen 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 Xu Chen 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: 504 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Xu Chen 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 Xu Chen 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: 60 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Overview

Xu Chen is affiliated with Sun Yat-sen University in China and has a research focus primarily in the fields of Computer Science and Engineering. Their work spans various subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, and Electrical and Electronic Engineering.

The scientist's research topics cover several areas such as Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Multimodal Machine Learning Applications, Traffic Control and Management, Advanced Image and Video Retrieval Techniques, Neural Networks Stability and Synchronization, and Autonomous Vehicle Technology and Safety.

Xu Chen has published extensively across a variety of academic venues, with notable frequent publications in:

  • Neurocomputing
  • SSRN Electronic Journal
  • Expert Systems with Applications
  • Accident Analysis & Prevention
  • Optics & Laser Technology

Significant recent papers include:

  • Observer-Based Dynamic Event-Triggered Strategies for Leader-Following Consensus of Multi-Agent Systems With Disturbances (2020, IEEE Transactions on Network Science and Engineering)
  • Intelligent Edge: Leveraging Deep Imitation Learning for Mobile Edge Computation Offloading (2020, IEEE Wireless Communications)
  • Nonnegative matrix factorization for link prediction in directed complex networks using PageRank and asymmetric link clustering information (2020, Expert Systems with Applications)
  • Dynamic Event-Triggered Pinning Synchronization for Switched Impulsive Complex Networks With Asynchronous Switching (2021, IEEE Transactions on Circuits & Systems II Express Briefs)
  • A hybrid domain learning framework for unsupervised semantic segmentation (2022, Neurocomputing)

Xu Chen frequently collaborates with several researchers including Wenbin Zou, Jianwen Feng, Jingyi Wang, Yuhang Zhang, and Shishun Tian, reflecting active engagement in collaborative research efforts.

Best Publications

  • Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing

    Xu Chen;Lei Jiao;Wenzhong Li;Xiaoming Fu

  • Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing

    Zhi Zhou;Xu Chen;En Li;Liekang Zeng

  • Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

    Xiaofei Wang;Yiwen Han;Victor C. M. Leung;Dusit Niyato

  • In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning

    Xiaofei Wang;Yiwen Han;Chenyang Wang;Qiyang Zhao

  • Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

    Xiaofei Wang;Yiwen Han;Victor C.M. Leung;Dusit Niyato

  • Decentralized Computation Offloading Game for Mobile Cloud Computing

    Xu Chen

  • Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing

    En Li;Liekang Zeng;Zhi Zhou;Xu Chen

  • A survey on large language model based autonomous agents

    Unknown

  • Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing

    Tao Ouyang;Zhi Zhou;Xu Chen

  • A big data approach for logistics trajectory discovery from RFID-enabled production data

    Ray Y. Zhong;Ray Y. Zhong;George Q. Huang;Shulin Lan;Q.Y. Dai

  • Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing

    Tao Ouyang;Zhi Zhou;Xu Chen

  • Big Data Analytics for Physical Internet-based intelligent manufacturing shop floors

    Ray Y. Zhong;Chen Xu;Chao Chen;George Q. Huang

  • HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning

    Siqi Luo;Xu Chen;Qiong Wu;Zhi Zhou

  • Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge Based Framework

    Qiong Wu;Kaiwen He;Xu Chen

  • D2D Fogging: An Energy-Efficient and Incentive-Aware Task Offloading Framework via Network-assisted D2D Collaboration

    Lingjun Pu;Xu Chen;Jingdong Xu;Xiaoming Fu

  • Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy

    En Li;Zhi Zhou;Xu Chen

  • FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring

    Qiong Wu;Xu Chen;Zhi Zhou;Junshan Zhang

  • When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network

    Shuai Yu;Xu Chen;Zhi Zhou;Xiaowen Gong

  • Automating network application dependency discovery: experiences, limitations, and new solutions

    Xu Chen;Ming Zhang;Z. Morley Mao;Paramvir Bahl

  • Visualization of RFID-enabled shopfloor logistics Big Data in Cloud Manufacturing

    Ray Y. Zhong;Ray Y. Zhong;Shulin Lan;Chen Xu;Qingyun Dai

  • Exploiting social ties for cooperative D2D communications: a mobile social networking case

    Xu Chen;Brian Proulx;Xiaowen Gong;Junshan Zhang

  • CoEdge: Cooperative DNN Inference With Adaptive Workload Partitioning Over Heterogeneous Edge Devices

    Liekang Zeng;Xu Chen;Zhi Zhou;Lei Yang

  • Exploiting Massive D2D Collaboration for Energy-Efficient Mobile Edge Computing

    Xu Chen;Lingjun Pu;Lin Gao;Weigang Wu

  • Monitoring Vital Signs and Postures During Sleep Using WiFi Signals

    Jian Liu;Yingying Chen;Yan Wang;Xu Chen

  • ThriftyEdge: Resource-Efficient Edge Computing for Intelligent IoT Applications

    Xu Chen;Qian Shi;Lei Yang;Jie Xu

  • MEETS: Maximal Energy Efficient Task Scheduling in Homogeneous Fog Networks

    Yang Yang;Kunlun Wang;Guowei Zhang;Xu Chen

  • Adaptive User-managed Service Placement for Mobile Edge Computing: An Online Learning Approach

    Tao Ouyang;Rui Li;Xu Chen;Zhi Zhou

  • When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network

    Shuai Yu;Xu Chen;Zhi Zhou;Xiaowen Gong

Frequent Co-Authors

Jianwei Huang
Jianwei Huang Chinese University of Hong Kong, Shenzhen
Junshan Zhang
Junshan Zhang University of California, Davis
Lei Yang
Lei Yang Hong Kong Polytechnic University
Xiaoming Fu
Xiaoming Fu University of Göttingen
Xiaofei Wang
Xiaofei Wang Tianjin University
Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Dusit Niyato
Dusit Niyato Nanyang Technological University
Sanglu Lu
Sanglu Lu Nanjing University
Husheng Li
Husheng Li University of Tennessee at Knoxville
H. Vincent Poor
H. Vincent Poor Princeton University

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