World's Best Scientists 2026 revealed!
Xiaofei Wang

Xiaofei Wang

D-Index & Metrics

Computer Science

D-Index
42
Citations
10401
World Ranking
8228
National Ranking
1079

Xiaofei Wang 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 Xiaofei Wang 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: 362 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Xiaofei Wang 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 Xiaofei Wang 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Xiaofei Wang is affiliated with Tianjin University in China and has a significant body of research spanning computer science and engineering disciplines. Their work focuses extensively on computer networks, communications, and artificial intelligence, reflecting contributions across multiple subfields and topics.

The primary fields of study covered by Wang include:

  • Computer Science
  • Engineering

Within these fields, the subfields of study most represented in their research are:

  • Computer Networks and Communications
  • Artificial Intelligence
  • Information Systems
  • Computer Vision and Pattern Recognition
  • Signal Processing

The main topics Wang has explored through their publications include:

  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • Privacy-Preserving Technologies in Data
  • Caching and Content Delivery
  • Cloud Computing and Resource Management
  • Speech and Audio Processing
  • Speech Recognition and Synthesis

They have contributed to multiple academic venues, with frequent publications appearing in:

  • arXiv (Cornell University)
  • IEEE Transactions on Mobile Computing
  • IEEE Network
  • IEEE Transactions on Cloud Computing
  • IEEE Internet of Things Journal

Among the recent papers published by Xiaofei Wang are:

  • "Convergence of Edge Computing and Deep Learning: A Comprehensive Survey," 2020, IEEE Communications Surveys & Tutorials
  • "Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching," 2020, IEEE Internet of Things Journal
  • "Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching," 2020, IEEE Journal on Selected Areas in Communications

Other notable papers, with co-authors as first authors, include:

  • "EC-SAGINs: Edge-Computing-Enhanced Space-Air-Ground-Integrated Networks for Internet of Vehicles," 2022, IEEE Internet of Things Journal
  • "Multitask Offloading Strategy Optimization Based on Directed Acyclic Graphs for Edge Computing," 2021, IEEE Internet of Things Journal

The researcher has notable collaborations with other scientists such as Chao Qiu, Victor C. M. Leung, Xiuhua Li, Xiaoxu Ren, and Dusit Niyato.

Book contributions by Wang include titles published by:

  • Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering: "6GN for Future Wireless Networks" (2020)
  • Springer International Publishing: "Integrating Edge Intelligence and Blockchain" (2022)

Best Publications

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

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

  • Cache in the air: exploiting content caching and delivery techniques for 5G systems

    Xiaofei Wang;Min Chen;Tarik Taleb;Adlen Ksentini

  • 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

  • Federated learning for 6G communications: Challenges, methods, and future directions

    Yi Liu;Xingliang Yuan;Zehui Xiong;Jiawen Kang

  • A Survey of Green Mobile Networks: Opportunities and Challenges

    Xiaofei Wang;Athanasios V. Vasilakos;Min Chen;Yunhao Liu

  • Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching

    Xiaofei Wang;Chenyang Wang;Xiuhua Li;Victor C. M. Leung

  • Cloud-enabled wireless body area networks for pervasive healthcare

    Jiafu Wan;Caifeng Zou;Sana Ullah;Chin-Feng Lai

  • Dynamic Resource Prediction and Allocation for Cloud Data Center Using the Multiobjective Genetic Algorithm

    Fan-Hsun Tseng;Xiaofei Wang;Li-Der Chou;Han-Chieh Chao

  • Artificial Intelligence-Based Techniques for Emerging Heterogeneous Network: State of the Arts, Opportunities, and Challenges

    Xiaofei Wang;Xiuhua Li;Victor C. M. Leung

  • Wireless Sensor Networks

    Jianzhong Li;Huadong Ma;Keqiu Li;Li Cui

  • EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks for Internet of Vehicles

    Shuai Yu;Xiaowen Gong;Qian Shi;Xiaofei Wang

  • AMES-Cloud: A Framework of Adaptive Mobile Video Streaming and Efficient Social Video Sharing in the Clouds

    Xiaofei Wang;Min Chen;T. T. Kwon;Laurence T. Yang

  • D2D Big Data: Content Deliveries over Wireless Device-to-Device Sharing in Large-Scale Mobile Networks

    Xiaofei Wang;Yuhua Zhang;Victor C. M. Leung;Nadra Guizani

  • TOSS: Traffic offloading by social network service-based opportunistic sharing in mobile social networks

    Xiaofei Wang;Min Chen;Zhu Han;Dapeng Oliver Wu

  • Hierarchical Edge Caching in Device-to-Device Aided Mobile Networks: Modeling, Optimization, and Design

    Xiuhua Li;Xiaofei Wang;Peng-Jun Wan;Zhu Han

  • Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching

    Xiaofei Wang;Ruibin Li;Chenyang Wang;Xiuhua Li

  • Collaborative Multi-Tier Caching in Heterogeneous Networks: Modeling, Analysis, and Design

    Xiuhua Li;Xiaofei Wang;Keqiu Li;Zhu Han

  • Multi-Task Offloading Strategy Optimization based on Directed Acyclic Graphs for Edge Computing

    Jiawen Chen;Yajun Yang;Chenyang Wang;Heng Zhang

  • Smart Home 2.0: Innovative Smart Home System Powered by Botanical IoT and Emotion Detection

    Min Chen;Jun Yang;Xuan Zhu;Xuan Zhu;Xiaofei Wang

  • Anomaly secure detection methods by analyzing dynamic characteristics of the network traffic in cloud communications

    Wei Xiong;Wei Xiong;Hanping Hu;Naixue Xiong;Laurence T. Yang

  • InFEDge: A Blockchain-Based Incentive Mechanism in Hierarchical Federated Learning for End-Edge-Cloud Communications

    Unknown

  • Networking Integrated Cloud–Edge–End in IoT: A Blockchain-Assisted Collective Q -Learning Approach

    Chao Qiu;Xiaofei Wang;Haipeng Yao;Jianbo Du

  • Cloud-assisted adaptive video streaming and social-aware video prefetching for mobile users

    Xiaofei Wang;Ted Taekyoung Kwon;Yanghee Choi;Haiyang Wang

  • Multiple mobile agents' itinerary planning in wireless sensor networks: survey and evaluation

    Xiaofei Wang;Min Chen;Taekyoung Kwon;Han-Chieh Chao

Frequent Co-Authors

Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Min Chen
Min Chen South China University of Technology
Xu Chen
Xu Chen Sun Yat-sen University
Yanghee Choi
Yanghee Choi Seoul National University
Dusit Niyato
Dusit Niyato Nanyang Technological University
Zhu Han
Zhu Han University of Houston
Tarik Taleb
Tarik Taleb Ruhr University Bochum
Keqiu Li
Keqiu Li Tianjin University
Sangheon Pack
Sangheon Pack Korea University
F. Richard Yu
F. Richard Yu Carleton University

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