World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
7104
World Ranking
8036
National Ranking
1053

Chunsheng Zhu 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 Chunsheng Zhu 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: 191 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Chunsheng Zhu 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 Chunsheng Zhu 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Chunsheng Zhu is affiliated with the Southern University of Science and Technology in China. Their research is primarily situated within the fields of Computer Science and Engineering, with significant contributions in several related subfields.

The scientist's main areas of study include:

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Information Systems
  • Sociology and Political Science

Chunsheng Zhu's work focuses extensively on topics related to IoT and edge/fog computing, privacy-preserving technologies in data, and vehicular ad hoc networks (VANETs). Other notable research interests include caching and content delivery, blockchain technology applications and security, software-defined networks and 5G, as well as access control and trust mechanisms.

Frequent coauthors in Zhu's research collaborations include:

  • Chaogang Tang
  • Joel J. P. C. Rodrigues
  • Weidong Fang
  • Wuxiong Zhang
  • Huaming Wu

Zhu has published extensively in several venues with the highest number of publications appearing in the IEEE Internet of Things Journal. Other frequent publication venues include IEEE Access, IEEE Network, GLOBECOM 2022 - 2022 IEEE Global Communications Conference, and IEEE Systems Journal.

Some of their recent papers are:

  • Dynamic-Fusion-Based Federated Learning for COVID-19 Detection, 2021, IEEE Internet of Things Journal
  • Mobile Vehicles as Fog Nodes for Latency Optimization in Smart Cities, 2020, IEEE Transactions on Vehicular Technology
  • Trustworthy and Intelligent COVID-19 Diagnostic IoMT Through XR and Deep-Learning-Based Clinic Data Access, 2021, IEEE Internet of Things Journal
  • Automated Attack and Defense Framework toward 5G Security, 2020, IEEE Network
  • Digital-Twin-Enabled IoMT System for Surgical Simulation Using rAC-GAN, 2022, IEEE Internet of Things Journal

Their publication record indicates a sustained focus on the intersection of Internet of Things (IoT) technologies, artificial intelligence applications, and network security issues, particularly in contexts such as healthcare and smart cities.

Best Publications

  • Green Internet of Things for Smart World

    Chunsheng Zhu;Victor C. M. Leung;Lei Shu;Edith C.-H. Ngai

  • A Multi-Objective Optimization Scheduling Method Based on the Ant Colony Algorithm in Cloud Computing

    Liyun Zuo;Lei Shu;Shoubin Dong;Chunsheng Zhu

  • Recent Advances in Industrial Wireless Sensor Networks Toward Efficient Management in IoT

    Zhengguo Sheng;Chinmaya Mahapatra;Chunsheng Zhu;Victor C. M. Leung

  • Dynamic-Fusion-Based Federated Learning for COVID-19 Detection

    Weishan Zhang;Tao Zhou;Qinghua Lu;Xiao Wang

  • Real-Time Lateral Movement Detection Based on Evidence Reasoning Network for Edge Computing Environment

    Zhihong Tian;Wei Shi;Yuhang Wang;Chunsheng Zhu

  • A survey on communication and data management issues in mobile sensor networks

    Chunsheng Zhu;Lei Shu;Takahiro Hara;Lei Wang

  • An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things

    Qingchen Zhang;Chunsheng Zhu;Laurence T. Yang;Zhikui Chen

  • Mobile big data fault-tolerant processing for ehealth networks

    Kun Wang;Yun Shao;Lei Shu;Chunsheng Zhu

  • Trust-Based Communication for the Industrial Internet of Things

    Chunsheng Zhu;Joel J. P. C. Rodrigues;Victor C. M. Leung;Lei Shu

  • An Authenticated Trust and Reputation Calculation and Management System for Cloud and Sensor Networks Integration

    Chunsheng Zhu;Hasen Nicanfar;Victor C. M. Leung;Laurence T. Yang

  • A Novel Sensory Data Processing Framework to Integrate Sensor Networks With Mobile Cloud

    Chunsheng Zhu;Hai Wang;Xiulong Liu;Lei Shu

  • Collaborative Location-Based Sleep Scheduling for Wireless Sensor Networks Integratedwith Mobile Cloud Computing

    Chunsheng Zhu;Victor C. M. Leung;Laurence T. Yang;Lei Shu

  • Combinational Auction-Based Service Provider Selection in Mobile Edge Computing Networks

    Heli Zhang;Fengxian Guo;Hong Ji;Chunsheng Zhu

  • Predicting Temporal Social Contact Patterns for Data Forwarding in Opportunistic Mobile Networks

    Huan Zhou;Victor C. M. Leung;Chunsheng Zhu;Shouzhi Xu

  • Mobile Vehicles as Fog Nodes for Latency Optimization in Smart Cities

    Chaogang Tang;Xianglin Wei;Chunsheng Zhu;Yi Wang

  • Subtask Scheduling for Distributed Robots in Cloud Manufacturing

    Wenxiang Li;Chunsheng Zhu;Laurence T. Yang;Lei Shu

  • Sleep Scheduling for Geographic Routing in Duty-Cycled Mobile Sensor Networks

    Chunsheng Zhu;Laurence T. Yang;Lei Shu;Victor C. M. Leung

  • Game-Theory-Based Active Defense for Intrusion Detection in Cyber-Physical Embedded Systems

    Kun Wang;Miao Du;Dejun Yang;Chunsheng Zhu

  • Secure Multimedia Big Data in Trust-Assisted Sensor-Cloud for Smart City

    Chunsheng Zhu;Lei Shu;Victor C. M. Leung;Song Guo

  • Original Symbol Phase Rotated Secure Transmission Against Powerful Massive MIMO Eavesdropper

    Bin Chen;Chunsheng Zhu;Wei Li;Jibo Wei

  • Towards Smart Parking Based on Fog Computing

    Chaogang Tang;Xianglin Wei;Chunsheng Zhu;Wei Chen

Frequent Co-Authors

Lei Shu
Lei Shu Nanjing Agricultural University
Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
Joel J. P. C. Rodrigues
Joel J. P. C. Rodrigues Federal University of Piauí
Kun Wang
Kun Wang University of California, Los Angeles
Zhihong Tian
Zhihong Tian Guangzhou University
Guangjie Han
Guangjie Han Hohai University
Xiping Hu
Xiping Hu Lanzhou University
Jibo Wei
Jibo Wei National University of Defense Technology
Jinsong Wu
Jinsong Wu Wuhan University of Technology

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