World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
10535
World Ranking
5601
National Ranking
744

Zhiyong Feng 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 Zhiyong Feng 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 726 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Zhiyong Feng 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 Zhiyong Feng sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Zhiyong Feng is affiliated with Beijing University of Posts and Telecommunications in China. Their research focuses primarily on engineering and computer science, with extensive work within electrical and electronic engineering, aerospace engineering, computer networks and communications, artificial intelligence, and computer vision and pattern recognition.

Their scholarly output includes notable papers such as:

  • "Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey" (2023), published in IEEE Internet of Things Journal
  • "Joint radar and communication: A survey" (2020), published in China Communications
  • "UAV-Assisted Data Collection for Internet of Things: A Survey" (2022), published in IEEE Internet of Things Journal
  • "UAV-Enabled Integrated Sensing and Communication: Opportunities and Challenges" (2023), published in IEEE Wireless Communications
  • "MmWave Radar and Vision Fusion for Object Detection in Autonomous Driving: A Review" (2022), published by MDPI

Their research covers key topics including radar systems and signal processing, indoor and outdoor localization technologies, UAV applications and optimization, advanced wireless communication technologies, millimeter-wave propagation and modeling, advanced MIMO systems optimization, and distributed sensor networks and detection algorithms.

Their frequent coauthors are:

  • Zhiqing Wei
  • Huici Wu
  • Ping Zhang
  • Qixun Zhang
  • Sai Huang

Zhiyong Feng has published extensively in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Vehicular Technology
  • IEEE Internet of Things Journal
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Communications

In addition to journal articles, Zhiyong Feng has contributed to book publications, including works published by Springer Science+Business Media such as Database Systems for Advanced Applications (2023).

Best Publications

  • An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing

    J. Andrew Zhang;Fan Liu;Christos Masouros;Robert W. Heath

  • LSTM with sentence representations for document-level sentiment classification

    Guozheng Rao;Weihang Huang;Zhiyong Feng;Qiong Cong

  • Learning to Predict Severity of Software Vulnerability Using Only Vulnerability Description

    Zhuobing Han;Xiaohong Li;Zhenchang Xing;Hongtao Liu

  • IoT Enabled UAV: Network Architecture and Routing Algorithm

    Qixun Zhang;Menglei Jiang;Zhiyong Feng;Wei Li

  • Automatic Modulation Classification of Overlapped Sources Using Multiple Cumulants

    Sai Huang;Yuanyuan Yao;Zhiqing Wei;Zhiyong Feng

  • Spatial Attention Fusion for Obstacle Detection Using MmWave Radar and Vision Sensor.

    Shuo Chang;Yifan Zhang;Fan Zhang;Xiaotong Zhao

  • Automatic Clustering of Social Tag using Community Detection

    Weisen Pan;Shizhan Chen;Zhiyong Feng

  • Multi-Task Learning Based Deep Neural Network for Automatic Modulation Classification

    Shuo Chang;Sai Huang;Ruiyun Zhang;Zhiyong Feng

  • Social Learning Evolution (SLE): Computational Experiment-Based Modeling Framework of Social Manufacturing

    Xiao Xue;Shufang Wang;Lejun Zhang;Zhiyong Feng

  • Performance of Joint Sensing-Communication Cooperative Sensing UAV Network

    Xu Chen;Zhiyong Feng;Zhiqing Wei;Feifei Gao

  • Facial expression recognition via deep learning

    Yadan Lv;Zhiyong Feng;Chao Xu

  • A survey of security issues in Cognitive Radio Networks

    Jianwu Li;Zebing Feng;Zhiyong Feng;Ping Zhang

  • Network Security Situation Awareness Based on Semantic Ontology and User-Defined Rules for Internet of Things

    Guangquan Xu;Yan Cao;Yuanyuan Ren;Xiaohong Li

  • Improvements of Juang 's Password-Authenticated Key Agreement Scheme Using Smart Cards

    Da-Zhi Sun;Jin-Peng Huai;Ji-Zhou Sun;Jian-Xin Li

  • Automatic Modulation Classification Using Gated Recurrent Residual Network

    Sai Huang;Rui Dai;Juanjuan Huang;Yuanyuan Yao

  • Code-Division OFDM Joint Communication and Sensing System for 6G Machine-Type Communication

    Xu Chen;Zhiyong Feng;Zhiqing Wei;Ping Zhang

  • Multi-agent reinforcement learning for resource allocation in IoT networks with edge computing

    Xiaolan Liu;Jiadong Yu;Zhiyong Feng;Yue Gao

  • Spatio-Temporal Power Optimization for MIMO Joint Communication and Radio Sensing Systems With Training Overhead

    Xin Yuan;Zhiyong Feng;J. Andrew Zhang;Wei Ni

  • Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents.

    Dongxiao He;Zhiyong Feng;Di Jin;Xiaobao Wang

  • Scalable and Reliable IoT Enabled by Dynamic Spectrum Management for M2M in LTE-A

    Yue Gao;Zhijin Qin;Zhiyong Feng;Qixun Zhang

  • Analysis of physiological for emotion recognition with the IRS model

    Chao Li;Chao Xu;Zhiyong Feng

  • Swift Trust in a Virtual Temporary System: A Model Based on the Dempster-Shafer Theory of Belief Functions

    Guangquan Xu;Zhiyong Feng;Huabei Wu;Dexin Zhao

  • Graph coloring based spectrum allocation for femtocell downlink interference mitigation

    Li Tan;Zhiyong Feng;Wei Li;Zhong Jing

  • Automatic Modulation Classification Using Contrastive Fully Convolutional Network

    Sai Huang;Yizhou Jiang;Yue Gao;Zhiyong Feng

Frequent Co-Authors

Ping Zhang
Ping Zhang Beijing University of Posts and Telecommunications
T. Aaron Gulliver
T. Aaron Gulliver University of Victoria
Ren Ping Liu
Ren Ping Liu University of Technology Sydney
Wei Ni
Wei Ni Edith Cowan University
Zhu Han
Zhu Han University of Houston
Kai Chen
Kai Chen Hong Kong University of Science and Technology
Miao Pan
Miao Pan University of Houston
Caijun Zhong
Caijun Zhong Zhejiang University
Jiaru Lin
Jiaru Lin Beijing University of Posts and Telecommunications
Zhaoyang Zhang
Zhaoyang Zhang Zhejiang University

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