World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6212
World Ranking
10222
National Ranking
1267

Yun Lin 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 Yun Lin 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: 166 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Yun Lin 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 Yun Lin 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Yun Lin is affiliated with Harbin Engineering University in China and has contributed significantly to research in computer science and engineering, focusing particularly on artificial intelligence and electrical and electronic engineering. Their academic publications span various subfields including wireless signal modulation classification, adversarial robustness in machine learning, distributed control multi-agent systems, digital media forensic detection, network security and intrusion detection, UAV applications and optimization, and geophysical methods and applications.

The scientist's recent papers include the following:

  • Contour Stella Image and Deep Learning for Signal Recognition in the Physical Layer, 2020, IEEE Transactions on Cognitive Communications and Networking
  • An Improved Neural Network Pruning Technology for Automatic Modulation Classification in Edge Devices, 2020, IEEE Transactions on Vehicular Technology
  • Adversarial Attacks in Modulation Recognition With Convolutional Neural Networks, 2020, IEEE Transactions on Reliability

Yun Lin has collaborated frequently with several researchers, notably Guan Gui, Benjamin J. Cowling, Shiwen Mao, Meiyu Wang, and Qiao Tian. Their collaborative work has appeared in multiple venues, demonstrating consistent engagement with peers in related fields.

Their publications have appeared regularly in venues such as:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Research Square (Research Square)
  • UNC Libraries
  • IEEE Transactions on Cognitive Communications and Networking

Yun Lin's contributions include a book published under the Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering series, titled Advanced Hybrid Information Processing (2023).

Their main fields of study are:

  • Computer Science
  • Engineering

Core subfields include:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Molecular Biology
  • Aerospace Engineering
  • Computer Networks and Communications

The research topics addressed most frequently are:

  • Wireless Signal Modulation Classification
  • Adversarial Robustness in Machine Learning
  • Distributed Control Multi-Agent Systems
  • Digital Media Forensic Detection
  • Network Security and Intrusion Detection
  • UAV Applications and Optimization
  • Geophysical Methods and Applications

Best Publications

  • An Amateur Drone Surveillance System Based on the Cognitive Internet of Things

    Guoru Ding;Qihui Wu;Linyuan Zhang;Yun Lin

  • Contour Stella Image and Deep Learning for Signal Recognition in the Physical Layer

    Yun Lin;Ya Tu;Zheng Dou;Lei Chen

  • An Improved Neural Network Pruning Technology for Automatic Modulation Classification in Edge Devices

    Yun Lin;Ya Tu;Zheng Dou

  • $\mathsf{LightChain}$ : A Lightweight Blockchain System for Industrial Internet of Things

    Yinqiu Liu;Kun Wang;Yun Lin;Wenyao Xu

  • Large-scale real-world radio signal recognition with deep learning

    Ya Tu;Yun Lin;Haoran Zha;Ju Zhang

  • Semi-supervised Learning with Generative Adversarial Networks on Digital Signal Mod-ulation Classification

    Ya Tu;Yun Lin;Jin Wang

  • Complex-Valued Networks for Automatic Modulation Classification

    Ya Tu;Yun Lin;Changbo Hou;Shiwen Mao

  • The individual identification method of wireless device based on dimensionality reduction and machine learning

    Yun Lin;Xiaolei Zhu;Zhigao Zheng;Zheng Dou

  • Adversarial Attacks in Modulation Recognition With Convolutional Neural Networks

    Yun Lin;Haojun Zhao;Xuefei Ma;Ya Tu

  • Transfer Learning Promotes 6G Wireless Communications: Recent Advances and Future Challenges

    Meiyu Wang;Yun Lin;Qiao Tian;Guangzhen Si

  • Digital Signal Modulation Classification With Data Augmentation Using Generative Adversarial Nets in Cognitive Radio Networks

    Bin Tang;Ya Tu;Zhaoyue Zhang;Yun Lin

  • Dynamic Spectrum Interaction of UAV Flight Formation Communication With Priority: A Deep Reinforcement Learning Approach

    Yun Lin;Meiyu Wang;Xianglong Zhou;Guoru Ding

  • Multisensor Fault Diagnosis Modeling Based on the Evidence Theory

    Yun Lin;Yuyao Li;Xuhong Yin;Zheng Dou

  • Machine Learning Based Bearing Fault Diagnosis Using the Case Western Reserve University Data: A Review

    Xiao Zhang;Boyang Zhao;Yun Lin

  • SR2CNN: Zero-Shot Learning for Signal Recognition

    Yihong Dong;Xiaohan Jiang;Huaji Zhou;Yun Lin

  • A Novel Dynamic Spectrum Access Framework Based on Reinforcement Learning for Cognitive Radio Sensor Networks

    Yun Lin;Chao Wang;Jiaxing Wang;Zheng Dou

  • Threats of Adversarial Attacks in DNN-Based Modulation Recognition

    Yun Lin;Haojun Zhao;Ya Tu;Shiwen Mao

  • Threat of Adversarial Attacks on DL-based IoT Device Identification

    Zhida Bao;Yun Lin;Sicheng Zhang;Zixin Li

  • A new combination method for multisensor conflict information

    Yun Lin;Can Wang;Chunguang Ma;Zheng Dou

  • Joint Beamforming and Jamming Optimization for Secure Transmission in MISO-NOMA Networks

    Nan Zhao;Wei Wang;Jingjing Wang;Yunfei Chen

  • An Amateur Drone Surveillance System Based on Cognitive Internet of Things

    Guoru Ding;Qihui Wu;Linyuan Zhang;Yun Lin

Frequent Co-Authors

Shiwen Mao
Shiwen Mao Auburn University
Guoru Ding
Guoru Ding Southeast University
Qihui Wu
Qihui Wu Nanjing University of Aeronautics and Astronautics
Theodoros A. Tsiftsis
Theodoros A. Tsiftsis University Of Thessaly
Guan Gui
Guan Gui Nanjing University of Posts and Telecommunications
Yu-Dong Yao
Yu-Dong Yao Stevens Institute of Technology
Qingjiang Shi
Qingjiang Shi Tongji University
Zhiguo Ding
Zhiguo Ding Nanyang Technological University
Jonathan Rodriguez
Jonathan Rodriguez Instituto de Telecomunicações
Nan Zhao
Nan Zhao Dalian University of Technology

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