World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
9447
World Ranking
6172
National Ranking
816

Liusheng Huang 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 Liusheng Huang 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: 526 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Liusheng Huang 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 Liusheng Huang 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Liusheng Huang is affiliated with the University of Science and Technology of China. Their research primarily falls within the field of Computer Science, with a significant focus on subfields such as Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, and Electrical and Electronic Engineering.

Their recent published papers include the following:

  • FedSA: A Semi-Asynchronous Federated Learning Mechanism in Heterogeneous Edge Computing (2021, IEEE Journal on Selected Areas in Communications)
  • Offloading Tasks With Dependency and Service Caching in Mobile Edge Computing (2021, IEEE Transactions on Parallel and Distributed Systems)
  • ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection (2020, Proceedings of the AAAI Conference on Artificial Intelligence)
  • Adaptive Batch Size for Federated Learning in Resource-Constrained Edge Computing (2021, IEEE Transactions on Mobile Computing)
  • Accelerating Decentralized Federated Learning in Heterogeneous Edge Computing (2022, IEEE Transactions on Mobile Computing)

Liusheng Huang frequently collaborates with several co-authors, including:

  • Hongli Xu
  • Wei Yang
  • Yang Xu
  • Zhenbo Xu
  • Jianchun Liu

Their publications are often found in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE/ACM Transactions on Networking
  • Proceedings of the AAAI Conference on Artificial Intelligence

Liusheng Huang's research covers a variety of important topics, including:

  • Privacy-Preserving Technologies in Data
  • Cryptography and Data Security
  • Software-Defined Networks and 5G
  • Stochastic Gradient Optimization Techniques
  • IoT and Edge/Fog Computing
  • Advanced Neural Network Applications
  • Mobile Crowdsensing and Crowdsourcing

Best Publications

  • Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline

    Zhenbo Xu;Wei Yang;Ajin Meng;Nanxue Lu

  • WiFinger: talk to your smart devices with finger-grained gesture

    Hong Li;Wei Yang;Jianxin Wang;Yang Xu

  • Community-Aware Opportunistic Routing in Mobile Social Networks

    Mingjun Xiao;Jie Wu;Liusheng Huang

  • FACTS: A Framework for Fault-Tolerant Composition of Transactional Web Services

    An Liu;Qing Li;Liusheng Huang;Mingjun Xiao

  • FedSA: A Semi-Asynchronous Federated Learning Mechanism in Heterogeneous Edge Computing

    Qianpiao Ma;Yang Xu;Hongli Xu;Zhida Jiang

  • Multi-task assignment for crowdsensing in mobile social networks

    Mingjun Xiao;Jie Wu;Liusheng Huang;Yunsheng Wang

  • Accurate time synchronization for wireless sensor networks

    Hongli Xu;Liusheng Huang;Yingyu Wan;Ben Xu

  • Homing spread: Community home-based multi-copy routing in mobile social networks

    Jie Wu;Mingjun Xiao;Liusheng Huang

  • Online Task Assignment for Crowdsensing in Predictable Mobile Social Networks

    Mingjun Xiao;Jie Wu;Liusheng Huang;Ruhong Cheng

  • Truthful Incentive Mechanism for Nondeterministic Crowdsensing with Vehicles

    Guoju Gao;Mingjun Xiao;Jie Wu;Liusheng Huang

  • Incremental Deployment and Throughput Maximization Routing for a Hybrid SDN

    Hongli Xu;Xiang-Yang Li;Liusheng Huang;Hou Deng

  • Offloading Tasks With Dependency and Service Caching in Mobile Edge Computing

    Gongming Zhao;Hongli Xu;Yangming Zhao;Chunming Qiao

  • Performance Analysis of Wireless Sensor Networks With Mobile Sinks

    Wang Liu;Kejie Lu;Jianping Wang;Guoliang Xing

  • Enabling efficient access control with dynamic policy updating for big data in the cloud

    Kan Yang;Xiaohua Jia;Kui Ren;Ruitao Xie

  • Mutual Information Optimally Local Private Discrete Distribution Estimation.

    Shaowei Wang;Liusheng Huang;Pengzhan Wang;Yiwen Nie

  • Centralized Scheduling and Channel Assignment in Multi-Channel Single-Transceiver WiMax Mesh Network

    Peng Du;Weijia Jia;Liusheng Huang;Wenyan Lu

  • Quantum group blind signature scheme without entanglement

    Rui Xu;Liusheng Huang;Wei Yang;Libao He

  • Private FL-GAN: Differential Privacy Synthetic Data Generation Based on Federated Learning

    Bangzhou Xin;Wei Yang;Yangyang Geng;Sheng Chen

  • Accelerating Decentralized Federated Learning in Heterogeneous Edge Computing

    Unknown

  • Accuracy-Aware Interference Modeling and Measurement in Wireless Sensor Networks

    Xiangmao Chang;Jun Huang;Shucheng Liu;Guoliang Xing

  • Offloading Dependent Tasks in Mobile Edge Computing with Service Caching

    Gongming Zhao;Hongli Xu;Yangming Zhao;Chunming Qiao

  • TOUR: Time-sensitive Opportunistic Utility-based Routing in delay tolerant networks

    Mingjun Xiao;Jie Wu;Cong Liu;Liusheng Huang

  • Privacy Preserving ID3 Algorithm over Horizontally Partitioned Data

    Ming-Jun Xiao;Liu-Sheng Huang;Yong-Long Luo;Hong Shen

Frequent Co-Authors

Chunming Qiao
Chunming Qiao University at Buffalo, State University of New York
Wei Yang
Wei Yang South China University of Technology
An Liu
An Liu Soochow University
Jie Wu
Jie Wu Temple University
Xiang-Yang Li
Xiang-Yang Li University of Science and Technology of China
Qing Li
Qing Li Hong Kong Polytechnic University
Jianping Wang
Jianping Wang City University of Hong Kong
Errui Ding
Errui Ding Baidu (China)
Weijia Jia
Weijia Jia Beijing Normal University
Shaojie Tang
Shaojie Tang The University of Texas at Dallas

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