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Xiaofei Wang

Xiaofei Wang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 42 8228 7993 1079 1073 362 10401

Xiaofei Wang publications per year

The chart shows the history of publications by Xiaofei Wang between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xiaofei Wang published across 27 years, from 1999 to 2025, averaging 20.4 papers a year. Output peaked at 66 publications in 2021. 107 of the 550 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 66. Peak 66 publications in 2021. 1999: 1 publication 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 1 publication 2005: 5 publications 2006: 4 publications 2007: 6 publications 2008: 8 publications 2009: 14 publications 2010: 9 publications 2011: 18 publications 2012: 21 publications 2013: 10 publications 2014: 22 publications 2015: 17 publications 2016: 13 publications 2017: 24 publications 2018: 27 publications 2019: 30 publications 2020: 38 publications 2021: 66 publications 2022: 66 publications 2023: 43 publications 2024: 64 publications 2025: 43 publications
1999 2025

550 publications in total across all disciplines

View publications per year as a table
Xiaofei Wang: publications per year, 1999 to 2025
Year Publications
1999 1
2000 0
2001 0
2002 0
2003 0
2004 1
2005 5
2006 4
2007 6
2008 8
2009 14
2010 9
2011 18
2012 21
2013 10
2014 22
2015 17
2016 13
2017 24
2018 27
2019 30
2020 38
2021 66
2022 66
2023 43
2024 64
2025 43
Total 550
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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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 362–371 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176 362
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
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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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 42–43 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821 42
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
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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

  • 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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