World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
11358
World Ranking
3481
National Ranking
468

Shaohua Wan 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 Shaohua Wan 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: 170 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Shaohua Wan 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 Shaohua Wan 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: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Shaohua Wan is affiliated with the University of Electronic Science and Technology of China. Their research spans several core areas within computer science and engineering, with a substantial focus on intelligent systems and communication technologies.

The primary fields of study for Shaohua Wan include Computer Science and Engineering. Within these disciplines, they have contributed notably to subfields such as Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, and Aerospace Engineering.

The main research topics covered by Shaohua Wan comprise:

  • IoT and Edge/Fog Computing
  • Advanced Neural Network Applications
  • Privacy-Preserving Technologies in Data
  • Blockchain Technology Applications and Security
  • Vehicular Ad Hoc Networks (VANETs)
  • UAV Applications and Optimization
  • Advanced Image and Video Retrieval Techniques

Shaohua Wan has contributed extensively to various publication venues, with frequent appearances in:

  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Internet of Things Journal
  • IEEE Transactions on Industrial Informatics
  • ACM Transactions on Multimedia Computing Communications and Applications
  • arXiv (Cornell University)

Co-authorship is a significant aspect of their research activities. Frequent collaborators include:

  • Chen Chen
  • Yirui Wu
  • Sotirios K. Goudos
  • Xiaoheng Deng
  • Liang Zhao

Some of the recent papers authored or co-authored by Shaohua Wan include:

  • "Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review," 2020, published in Internet of Things
  • "An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System," 2020, published in IEEE Transactions on Intelligent Transportation Systems
  • "FedCPF: An Efficient-Communication Federated Learning Approach for Vehicular Edge Computing in 6G Communication Networks," 2021, published in IEEE Transactions on Intelligent Transportation Systems
  • "A long short-term memory-based model for greenhouse climate prediction," 2021, published in International Journal of Intelligent Systems
  • "Blockchain-Empowered Decentralized Horizontal Federated Learning for 5G-Enabled UAVs," 2021, published in IEEE Transactions on Industrial Informatics

Best Publications

  • Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review

    Achilles D. Boursianis;Maria S. Papadopoulou;Panagiotis Diamantoulakis;Aglaia Liopa-Tsakalidi

  • Deep Learning Models for Real-time Human Activity Recognition with Smartphones

    Shaohua Wan;Shaohua Wan;Lianyong Qi;Xiaolong Xu;Chao Tong

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

    Shaohua Wan;Yan Liang;Yin Zhang

  • Faster R-CNN for multi-class fruit detection using a robotic vision system

    Shaohua Wan;Sotirios K. Goudos

  • An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System

    Chen Chen;Bin Liu;Shaohua Wan;Peng Qiao

  • Cognitive computing and wireless communications on the edge for healthcare service robots

    Shaohua Wan;Shaohua Wan;Zonghua Gu;Zonghua Gu;Qiang Ni

  • An edge computing-enabled computation offloading method with privacy preservation for internet of connected vehicles

    Xiaolong Xu;Xiaolong Xu;Yuan Xue;Lianyong Qi;Yuan Yuan

  • Stimulus-driven and concept-driven analysis for image caption generation

    Songtao Ding;Shiru Qu;Yuling Xi;Shaohua Wan

  • FedCPF: An Efficient-Communication Federated Learning Approach for Vehicular Edge Computing in 6G Communication Networks

    Su Liu;Jiong Yu;Xiaoheng Deng;Shaohua Wan

  • A long short-term memory-based model for greenhouse climate prediction

    Yuwen Liu;Dejuan Li;Shaohua Wan;Fan Wang

  • Blockchain-Empowered Decentralized Horizontal Federated Learning for 5G-Enabled UAVs

    Chaosheng Feng;Bin Liu;Keping Yu;Sotirios K. Goudos

  • Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation

    Yu Zhao;Hongwei Li;Shaohua Wan;Anjany Sekuboyina

  • Multi-dimensional data indexing and range query processing via Voronoi diagram for internet of things

    Shaohua Wan;Yu Zhao;Tian Wang;Zonghua Gu

  • Joint Optimization of Offloading Utility and Privacy for Edge Computing Enabled IoT

    Xiaolong Xu;Chengxun He;Zhanyang Xu;Lianyong Qi

  • Adaptive Fusion and Category-Level Dictionary Learning Model for Multiview Human Action Recognition

    Zan Gao;Hai-Zhen Xuan;Hua Zhang;Shaohua Wan

  • Edge computing enabled video segmentation for real-time traffic monitoring in internet of vehicles

    Shaohua Wan;Shaohua Wan;Songtao Ding;Chen Chen

  • Smart Irrigation System for Precision Agriculture—The AREThOU5A IoT Platform

    Achilles D. Boursianis;Maria S. Papadopoulou;Antonis Gotsis;Shaohua Wan

  • Finding All You Need: Web APIs Recommendation in Web of Things Through Keywords Search

    Lianyong Qi;Qiang He;Feifei Chen;Wanchun Dou

  • Edge Server Quantification and Placement for Offloading Social Media Services in Industrial Cognitive IoV

    Xiaolong Xu;Bowen Shen;Xiaochun Yin;Mohammad R. Khosravi

  • An Intelligent Video Analysis Method for Abnormal Event Detection in Intelligent Transportation Systems

    Shaohua Wan;Xiaolong Xu;Tian Wang;Zonghua Gu

  • Automated Colorization of a Grayscale Image With Seed Points Propagation

    Shaohua Wan;Yu Xia;Lianyong Qi;Yee-Hong Yang

  • Efficient computation offloading for Internet of Vehicles in edge computing-assisted 5G networks

    Shaohua Wan;Xiang Li;Yuan Xue;Wenmin Lin;Wenmin Lin

Frequent Co-Authors

Lianyong Qi
Lianyong Qi Qufu Normal University
Xiaolong Xu
Xiaolong Xu Nanjing University of Information Science and Technology
Sotirios K. Goudos
Sotirios K. Goudos Aristotle University of Thessaloniki
Qingqi Pei
Qingqi Pei Xidian University
Jake K. Aggarwal
Jake K. Aggarwal The University of Texas at Austin
Xuyun Zhang
Xuyun Zhang Macquarie University
Wanchun Dou
Wanchun Dou Nanjing University
Yin Zhang
Yin Zhang University of Electronic Science and Technology of China
Kim-Kwang Raymond Choo
Kim-Kwang Raymond Choo The University of Texas at San Antonio
Zonghua Gu
Zonghua Gu Hofstra University

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