World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
69
Citations
20991
World Ranking
1964
National Ranking
36

Yonggang Wen 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 Yonggang Wen 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: 320 publications — 77th percentile

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

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

Yonggang Wen 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 Yonggang Wen 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: 69 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Overview

Yonggang Wen is affiliated with Nanyang Technological University in Singapore. Their research primarily spans the fields of Computer Science and Engineering, with a particular focus on subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Information Systems, and Computer Networks and Communications.

The scientist's work addresses a range of topics, notably:

  • Domain Adaptation and Few-Shot Learning
  • Cloud Computing and Resource Management
  • Privacy-Preserving Technologies in Data
  • Advanced Neural Network Applications
  • IoT and Edge/Fog Computing
  • Multimodal Machine Learning Applications
  • Topic Modeling

Yonggang Wen has contributed extensively to scholarly literature, with key recent papers including:

  • "A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications," 2021, IEEE Transactions on Knowledge and Data Engineering
  • "Machine learning for a sustainable energy future," 2022, Nature Reviews Materials
  • "Machine Learning: An Advanced Platform for Materials Development and State Prediction in Lithium-Ion Batteries," 2021, Advanced Materials
  • "A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications," 2020, arXiv (Cornell University)
  • "DeepComfort: Energy-Efficient Thermal Comfort Control in Buildings Via Reinforcement Learning," 2020, IEEE Internet of Things Journal

Frequent co-authors working alongside Yonggang Wen include:

  • Dacheng Tao
  • Han Hu
  • Yong Luo
  • Xin Zhou
  • Weiming Zhuang

Yonggang Wen has published multiple articles in prominent venues with recurring contributions appearing in:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Multimedia

Best Publications

  • Toward Scalable Systems for Big Data Analytics: A Technology Tutorial

    Han Hu;Yonggang Wen;Tat-Seng Chua;Xuelong Li

  • A Survey on Software-Defined Networking

    Wenfeng Xia;Yonggang Wen;Chuan Heng Foh;Dusit Niyato

  • A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

    Jie Gui;Zhenan Sun;Yonggang Wen;Dacheng Tao

  • Data Center Energy Consumption Modeling: A Survey

    Miyuru Dayarathna;Yonggang Wen;Rui Fan

  • A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

    Wenbo Wang;Dinh Thai Hoang;Peizhao Hu;Zehui Xiong

  • Energy-Optimal Mobile Cloud Computing under Stochastic Wireless Channel

    Weiwen Zhang;Yonggang Wen;Kyle Guan;Dan Kilper

  • Cloud robotics: architecture, challenges and applications

    Guoqiang Hu;Wee Peng Tay;Yonggang Wen

  • Cloud radio access network (C-RAN): a primer

    Jun Wu;Zhifeng Zhang;Yu Hong;Yonggang Wen

  • Energy-optimal mobile application execution: Taming resource-poor mobile devices with cloud clones

    Yonggang Wen;Weiwen Zhang;Haiyun Luo

  • Machine Learning: An Advanced Platform for Materials Development and State Prediction in Lithium-Ion Batteries.

    Chade Lv;Xin Zhou;Lixiang Zhong;Chunshuang Yan

  • Collaborative Task Execution in Mobile Cloud Computing Under a Stochastic Wireless Channel

    Weiwen Zhang;Yonggang Wen;Dapeng Oliver Wu

  • Private data deduplication protocols in cloud storage

    Wee Keong Ng;Yonggang Wen;Huafei Zhu

  • Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction

    Yong Luo;Dacheng Tao;Kotagiri Ramamohanarao;Chao Xu

  • A Survey on Data Center Networking (DCN): Infrastructure and Operations

    Wenfeng Xia;Peng Zhao;Yonggang Wen;Haiyong Xie

  • QoE-Driven Cache Management for HTTP Adaptive Bit Rate Streaming Over Wireless Networks

    Weiwen Zhang;Yonggang Wen;Zhenzhong Chen;A. Khisti

  • DeepComfort: Energy-Efficient Thermal Comfort Control in Buildings Via Reinforcement Learning

    Guanyu Gao;Jie Li;Yonggang Wen

  • Transforming Cooling Optimization for Green Data Center via Deep Reinforcement Learning

    Yuanlong Li;Yonggang Wen;Dacheng Tao;Kyle Guan

  • Toward profit-seeking virtual network embedding algorithm via global resource capacity

    Long Gong;Yonggang Wen;Zuqing Zhu;Tony Lee

  • QoE-driven cache management for HTTP adaptive bit rate (ABR) streaming over wireless networks

    Weiwen Zhang;Yonggang Wen;Zhenzhong Chen;Ashish Khisti

  • Resource Management in Cloud Networking Using Economic Analysis and Pricing Models: A Survey

    Nguyen Cong Luong;Ping Wang;Dusit Niyato;Yonggang Wen

  • Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction

    Yong Luo;Dacheng Tao;Yonggang Wen;Kotagiri Ramamohanarao

Frequent Co-Authors

Han Hu
Han Hu China University of Petroleum, Beijing
Dacheng Tao
Dacheng Tao Nanyang Technological University
Jianfei Cai
Jianfei Cai Monash University
Chao Xu
Chao Xu Peking University
Haiyong Xie
Haiyong Xie University of Science and Technology of China
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Rui Tan
Rui Tan Nanyang Technological University
Wenwu Zhu
Wenwu Zhu Tsinghua University
Xuelong Li
Xuelong Li China Telecom (China)
Chuan Heng Foh
Chuan Heng Foh University of Surrey

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