World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
68
Citations
18188
World Ranking
2092
National Ranking
288

Lin Zhang 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 Lin Zhang 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: 576 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Lin Zhang 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 Lin Zhang 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: 68 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2020 - OSA Fellows Lin Zhang Aston University, UK For technical leadership and outstanding contributions to the research and development of fiber grating-based devices and technology, and their applications in optical communications and sensing

Overview

Lin Zhang is affiliated with Beihang University in China and has contributed extensively to the fields of Engineering and Computer Science. Their research primarily focuses on Electrical and Electronic Engineering, with significant work in Computer Networks and Communications as well as Aerospace Engineering.

Their work covers a range of topics, including:

  • Advanced MIMO Systems Optimization
  • Advanced Wireless Communication Technologies
  • Energy Harvesting in Wireless Networks
  • Cognitive Radio Networks and Spectrum Sensing
  • Satellite Communication Systems
  • Full-Duplex Wireless Communications
  • UAV Applications and Optimization

Lin Zhang has published research in several notable venues, with a strong presence in IEEE Transactions on Wireless Communications. Frequent publication venues include:

  • IEEE Transactions on Wireless Communications
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • IEEE Transactions on Communications
  • Journal of Communications and Information Networks

Recent papers authored or coauthored by Lin Zhang include:

  • Deep Reinforcement Learning for Joint Channel Selection and Power Control in D2D Networks (2020), IEEE Transactions on Wireless Communications
  • Deep Reinforcement Learning for Multi-Agent Power Control in Heterogeneous Networks (2020), IEEE Transactions on Wireless Communications
  • Intelligent Sharing for LTE and WiFi Systems in Unlicensed Bands: A Deep Reinforcement Learning Approach (2020), IEEE Transactions on Communications
  • Outage Probability Analysis in Downlink SWIPT-Assisted Cooperative NOMA Systems (2022), Journal of Communications and Information Networks
  • Outage Probability Analysis for UAV-Aided Mobile Edge Computing Networks (2022), EAI Endorsed Transactions on Industrial Networks and Intelligent Systems

Frequent collaborators in Lin Zhang's research include Ming Xiao, Zicun Wang, Ying-Chang Liang, Shaoqian Li, and Errong Pei. These partnerships have contributed to multiple publications and projects in related domains.

Lin Zhang was recognized as an OSA Fellow in 2020 for technical leadership and contributions to the research and development of fiber grating-based devices and technology, specifically regarding their applications in optical communications and sensing.

Best Publications

  • CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System

    Fei Tao;Ying Cheng;Li Da Xu;Lin Zhang

  • Cloud manufacturing: a new manufacturing paradigm

    Lin Zhang;Yongliang Luo;Fei Tao;Bo Hu Li

  • Cloud manufacturing: a computing and service-oriented manufacturing model:

    F Tao;L Zhang;V C Venkatesh;Y Luo

  • A Novel Cloud-Based Framework for the Elderly Healthcare Services Using Digital Twin

    Ying Liu;Lin Zhang;Yuan Yang;Longfei Zhou

  • IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing

    Fei Tao;Ying Zuo;Li Da Xu;Lin Zhang

  • Win-Stay-Lose-Learn Promotes Cooperation in the Spatial Prisoner's Dilemma Game

    Yongkui Liu;Xiaojie Chen;Lin Zhang;Long Wang

  • FC-PACO-RM: A Parallel Method for Service Composition Optimal-Selection in Cloud Manufacturing System

    Fei Tao;Yuanjun LaiLi;Lida Xu;Lin Zhang

  • Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach

    Lei Ren;Li Zhao;Sheng Hong;Shiqiang Zhao

  • Cloud manufacturing: key characteristics and applications

    Lei Ren;Lin Zhang;Lihui Wang;Fei Tao

  • Advanced manufacturing systems: socialization characteristics and trends

    F. Tao;Y. Cheng;L. Zhang;A. Y. Nee

  • Bearing remaining useful life prediction based on deep autoencoder and deep neural networks

    Lei Ren;Lei Ren;Yaqiang Sun;Yaqiang Sun;Jin Cui;Jin Cui;Lin Zhang;Lin Zhang

  • Cloud manufacturing: from concept to practice

    Lei Ren;Lin Zhang;Fei Tao;Chun Zhao

  • Scheduling in cloud manufacturing: state-of-the-art and research challenges

    Yongkui Liu;Lihui Wang;Xi Vincent Wang;Xun Xu

  • Workload-based multi-task scheduling in cloud manufacturing

    Yongkui Liu;Xun Xu;Lin Zhang;Long Wang

  • Prediction of Bearing Remaining Useful Life With Deep Convolution Neural Network

    Lei Ren;Yaqiang Sun;Hao Wang;Lin Zhang

  • Manufacturing Service Management in Cloud Manufacturing: Overview and Future Research Directions

    Fei Tao;Lin Zhang;Yongkui Liu;Yongkui Liu;Ying Cheng

  • CLPS-GA: A case library and Pareto solution-based hybrid genetic algorithm for energy-aware cloud service scheduling

    Fei Tao;Ying Feng;Lin Zhang;T.W. Liao

  • Internet of Things and BOM-Based Life Cycle Assessment of Energy-Saving and Emission-Reduction of Products

    Fei Tao;Ying Zuo;Li Da Xu;Lin Lv

  • Leader-Following Consensus for Linear and Lipschitz Nonlinear Multiagent Systems With Quantized Communication

    Zhiqiang Zhang;Lin Zhang;Fei Hao;Long Wang

  • Consensus of linear multi-agent systems via event-triggered control

    Zhiqiang Zhang;Fei Hao;Lin Zhang;Long Wang

Frequent Co-Authors

Fei Tao
Fei Tao Beihang University
Lei Ren
Lei Ren Beihang University
Long Wang
Long Wang Peking University
Shao-Ming Fei
Shao-Ming Fei Capital Normal University
Li Da Xu
Li Da Xu Old Dominion University
Lihui Wang
Lihui Wang Royal Institute of Technology
Xun Xu
Xun Xu University of Auckland
Xiaojie Chen
Xiaojie Chen University of Electronic Science and Technology of China
Andrew Y. C. Nee
Andrew Y. C. Nee National University of Singapore
Duc Truong Pham
Duc Truong Pham University of Birmingham

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