World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
10629
World Ranking
5092
National Ranking
691

Yin 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 Yin 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: 289 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Yin 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 Yin 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Yin Zhang is affiliated with the University of Electronic Science and Technology of China. Their research spans several areas within computer science, with a focus on artificial intelligence, information systems, computer vision and pattern recognition, computer networks and communications, and molecular biology.

Their work addresses topics such as IoT and edge/fog computing, blockchain technology applications and security, topic modeling, complex network analysis techniques, multimodal machine learning applications, recommender systems and techniques, and caching and content delivery.

Yin Zhang has contributed to the following notable research papers:

  • User-Oriented Virtual Mobile Network Resource Management for Vehicle Communications, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Deep Reinforcement Learning for Edge Service Placement in Softwarized Industrial Cyber-Physical System, 2020, IEEE Transactions on Industrial Informatics
  • Information fusion for edge intelligence: A survey, 2021, Information Fusion
  • Multi-Aspect Aware Session-Based Recommendation for Intelligent Transportation Services, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Federated unsupervised representation learning, 2023, Frontiers of Information Technology & Electronic Engineering

The scientist frequently collaborates with researchers including Ranran Wang, Chi Jiang, Binglei Yue, Mohsen Guizani, and Giancarlo Fortino.

Their publication record includes contributions to prominent venues such as:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Network
  • IOP Conference Series Earth and Environmental Science
  • IEEE Transactions on Intelligent Transportation Systems

Yin Zhang has also authored books published by Springer Science+Business Media, including Blockchain and Trustworthy Systems (2022).

Best Publications

  • Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data

    Yin Zhang;Meikang Qiu;Chun-Wei Tsai;Mohammad Mehedi Hassan

  • Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network

    Min Chen;Xiaobo Shi;Yin Zhang;Di Wu

  • Deep convolutional neural networks for diabetic retinopathy detection by image classification

    Shaohua Wan;Yan Liang;Yin Zhang

  • Big Data: Related Technologies, Challenges and Future Prospects

    Min Chen;Shiwen Mao;Yin Zhang;Victor C. M. Leung

  • Wearable 2.0: Enabling Human-Cloud Integration in Next Generation Healthcare Systems

    Min Chen;Yujun Ma;Yong Li;Di Wu

  • SAR Automatic Target Recognition Based on Multiview Deep Learning Framework

    Jifang Pei;Yulin Huang;Weibo Huo;Yin Zhang

  • iDoctor: Personalized and professionalized medical recommendations based on hybrid matrix factorization

    Yin Zhang;Min Chen;Dijiang Huang;Di Wu

  • Real-Time Locating Systems Using Active RFID for Internet of Things

    Daqiang Zhang;Laurence Tianruo Yang;Min Chen;Shengjie Zhao

  • EMC: Emotion-aware mobile cloud computing in 5G

    Min Chen;Yin Zhang;Yong Li;Shiwen Mao

  • User-Oriented Virtual Mobile Network Resource Management for Vehicle Communications

    Huimin Lu;Yin Zhang;Yujie Li;Chi Jiang

  • AIWAC: affective interaction through wearable computing and cloud technology

    Min Chen;Yin Zhang;Yong Li;Mohammad Mehedi Hassan

  • CAP: community activity prediction based on big data analysis

    Yin Zhang;Min Chen;Shiwen Mao;Long Hu

  • PEA: Parallel electrocardiogram-based authentication for smart healthcare systems

    Yin Zhang;Raffaele Gravina;Huimin Lu;Massimo Villari

  • Single slice based detection for Alzheimer's disease via wavelet entropy and multilayer perceptron trained by biogeography-based optimization

    Shui-Hua Wang;Yin Zhang;Yu-Jie Li;Wen-Juan Jia

  • Multiple Sclerosis Detection Based on Biorthogonal Wavelet Transform, RBF Kernel Principal Component Analysis, and Logistic Regression

    Shui-Hua Wang;Tian-Ming Zhan;Yi Chen;Yin Zhang

  • SPHA: Smart Personal Health Advisor Based on Deep Analytics

    Min Chen;Yin Zhang;Meikang Qiu;Nadra Guizani

  • EARS: Emotion-aware recommender system based on hybrid information fusion

    Yongfeng Qian;Yongfeng Qian;Yin Zhang;Xiao Ma;Han Yu

  • Cloud-based Wireless Network: Virtualized, Reconfigurable, Smart Wireless Network to Enable 5G Technologies

    Min Chen;Yin Zhang;Long Hu;Tarik Taleb

  • Edge Intelligence in the Cognitive Internet of Things: Improving Sensitivity and Interactivity

    Yin Zhang;Xiao Ma;Jing Zhang;M. Shamim Hossain

  • Green data center with IoT sensing and cloud-assisted smart temperature control system

    Qiang Liu;Yujun Ma;Musaed Alhussein;Yin Zhang

  • Deep Multi-Layer Perceptron Classifier for Behavior Analysis to Estimate Parkinson’s Disease Severity Using Smartphones

    Shaohua Wan;Yan Liang;Yin Zhang;Mohsen Guizani

Frequent Co-Authors

Jianyu Yang
Jianyu Yang University of Electronic Science and Technology of China
Min Chen
Min Chen South China University of Technology
Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Shuihua Wang
Shuihua Wang Xi’an Jiaotong-Liverpool University
Yudong Zhang
Yudong Zhang University of Leicester
Huimin Lu
Huimin Lu Kyushu Institute of Technology
M. Shamim Hossain
M. Shamim Hossain King Saud University
Shiwen Mao
Shiwen Mao Auburn University
Giancarlo Fortino
Giancarlo Fortino University of Calabria
Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence

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