World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
9370
World Ranking
4897
National Ranking
656

Wanchun Dou 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 Wanchun Dou 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: 262 publications — 65th percentile

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

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

Wanchun Dou 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 Wanchun Dou 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Wanchun Dou is affiliated with Nanjing University in China and has contributed extensively to the field of computer science, with a primary focus on computer networks and communications. Their research spans a broad range of topics including IoT and edge/fog computing, caching and content delivery, privacy-preserving technologies in data, blockchain technology applications and security, cloud computing and resource management, software-defined networks and 5G, as well as recommender systems and techniques.

Their recent publications highlight contributions to various domains in computer science. Selected papers include:

  • "Complementing IoT Services Through Software Defined Networking and Edge Computing: A Comprehensive Survey," 2020, IEEE Communications Surveys & Tutorials
  • "A long short-term memory-based model for greenhouse climate prediction," 2021, International Journal of Intelligent Systems
  • "A Correlation Graph based Approach for Personalized and Compatible Web APIs Recommendation in Mobile APP Development," 2022, IEEE Transactions on Knowledge and Data Engineering
  • "Privacy-Aware Cross-Platform Service Recommendation Based on Enhanced Locality-Sensitive Hashing," 2020, IEEE Transactions on Network Science and Engineering
  • "Game Theory for Distributed IoV Task Offloading With Fuzzy Neural Network in Edge Computing," 2022, IEEE Transactions on Fuzzy Systems

Wanchun Dou frequently collaborates with a number of researchers, with notable co-authors including Xiaolong Xu, Lianyong Qi, Xuyun Zhang, Guihai Chen, and Chen Tian. This pattern of collaboration demonstrates a consistent engagement with peers focused on intersecting fields of study.

Publications are often found in prominent venues such as:

  • IEEE Transactions on Mobile Computing
  • arXiv (Cornell University)
  • IEEE Transactions on Parallel and Distributed Systems
  • Computer Communications
  • Software Practice and Experience

Their work generally addresses challenges in computer science through empirical studies and theoretical models across various subfields including:

  • Computer Networks and Communications
  • Artificial Intelligence
  • Information Systems
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition

Research topics covered in their publications align with technological advancements in connected environments and data security, reflecting ongoing developments in software-defined networking and edge computing frameworks.

Best Publications

  • Complementing IoT Services Through Software Defined Networking and Edge Computing: A Comprehensive Survey

    Wajid Rafique;Lianyong Qi;Ibrar Yaqoob;Muhammad Imran

  • BeCome: Blockchain-Enabled Computation Offloading for IoT in Mobile Edge Computing

    Xiaolong Xu;Xuyun Zhang;Honghao Gao;Yuan Xue

  • Predicted Packet Padding for Anonymous Web Browsing Against Traffic Analysis Attacks

    Shui Yu;Guofeng Zhao;Wanchun Dou;S. James

  • Networking for Big Data: A Survey

    Shui Yu;Meng Liu;Wanchun Dou;Xiting Liu

  • KASR: A Keyword-Aware Service Recommendation Method on MapReduce for Big Data Applications

    Shunmei Meng;Wanchun Dou;Xuyun Zhang;Jinjun Chen

  • Big data challenges and opportunities in the hype of Industry 4.0

    Maqbool Khan;Xiaotong Wu;Xiaolong Xu;Wanchun Dou

  • Dynamic Resource Allocation for Load Balancing in Fog Environment

    Xiaolong Xu;Shucun Fu;Qing Cai;Wei Tian

  • A Distributed Locality-Sensitive Hashing-Based Approach for Cloud Service Recommendation From Multi-Source Data

    Lianyong Qi;Xuyun Zhang;Wanchun Dou;Qiang Ni

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

    Yuwen Liu;Dejuan Li;Shaohua Wan;Fan Wang

  • A two-stage locality-sensitive hashing based approach for privacy-preserving mobile service recommendation in cross-platform edge environment

    Lianyong Qi;Lianyong Qi;Xuyun Zhang;Wanchun Dou;Chunhua Hu

  • HireSome-II: Towards Privacy-Aware Cross-Cloud Service Composition for Big Data Applications

    Wanchun Dou;Xuyun Zhang;Jianxun Liu;Jinjun Chen

  • An energy-aware computation offloading method for smart edge computing in wireless metropolitan area networks

    Xiaolong Xu;Xiaolong Xu;Yuancheng Li;Tao Huang;Yuan Xue

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

    Lianyong Qi;Qiang He;Feifei Chen;Wanchun Dou

  • EnReal : An Energy-Aware Resource Allocation Method for Scientific Workflow Executions in Cloud Environment

    Xiaolong Xu;Wanchun Dou;Xuyun Zhang;Jinjun Chen

  • A hybrid approach for scalable sub-tree anonymization over big data using MapReduce on cloud

    Xuyun Zhang;Chang Liu;Surya Nepal;Chi Yang

  • A Blockchain-Powered Crowdsourcing Method With Privacy Preservation in Mobile Environment

    Xiaolong Xu;Qingxiang Liu;Xuyun Zhang;Jie Zhang

  • Proximity-Aware Local-Recoding Anonymization with MapReduce for Scalable Big Data Privacy Preservation in Cloud

    Xuyun Zhang;Wanchun Dou;Jian Pei;Surya Nepal

  • A confidence-based filtering method for DDoS attack defense in cloud environment

    Wanchun Dou;Qi Chen;Jinjun Chen

  • A K-Anonymity Based Schema for Location Privacy Preservation

    Fan Fei;Shu Li;Haipeng Dai;Chunhua Hu

  • Combining Local Optimization and Enumeration for QoS-aware Web Service Composition

    Lianyong Qi;Ying Tang;Wanchun Dou;Jinjun Chen

  • Privacy-Aware Cross-Platform Service Recommendation Based on Enhanced Locality-Sensitive Hashing

    Lianyong Qi;Xiaokang Wang;Xiaolong Xu;Wanchun Dou

  • Dynamic Resource Provisioning With Fault Tolerance for Data-Intensive Meteorological Workflows in Cloud

    Xiaolong Xu;Ruichao Mo;Fei Dai;Wenmin Lin

Frequent Co-Authors

Lianyong Qi
Lianyong Qi Qufu Normal University
Xiaolong Xu
Xiaolong Xu Nanjing University of Information Science and Technology
Xuyun Zhang
Xuyun Zhang Macquarie University
Jinjun Chen
Jinjun Chen Swinburne University of Technology
Shui Yu
Shui Yu University of Technology Sydney
Haipeng Dai
Haipeng Dai Nanjing University
Qiang Ni
Qiang Ni Lancaster University
Qiang He
Qiang He Swinburne University of Technology
Jianxun Liu
Jianxun Liu Hunan University of Science and Technology
Alex X. Liu
Alex X. Liu Michigan State University

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