World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
5667
World Ranking
9403
National Ranking
1192

Meiqin Liu 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 Meiqin Liu 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: 271 publications — 67th percentile

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

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

Meiqin Liu 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 Meiqin Liu 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Meiqin Liu is affiliated with Zhejiang University in China and has made contributions primarily in the fields of Engineering and Computer Science. Their work spans several subfields including Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Ocean Engineering, and Computer Networks and Communications.

Their research focuses on topics that range from underwater vehicles and communication systems to robotics, sensor-based localization, and distributed control in multi-agent systems. Key topics in their work include:

  • Underwater Vehicles and Communication Systems
  • Robotics and Sensor-Based Localization
  • Target Tracking and Data Fusion in Sensor Networks
  • Distributed Control Multi-Agent Systems
  • Indoor and Outdoor Localization Technologies
  • Robotic Path Planning Algorithms
  • Underwater Acoustics Research

Meiqin Liu has published extensively, with frequent appearances in venues such as arXiv (Cornell University), IEEE Transactions on Instrumentation and Measurement, SSRN Electronic Journal, IEEE Robotics and Automation Letters, and Ocean Engineering. Notable recent papers include:

  • "Secure Health Data Sharing for Medical Cyber-Physical Systems for the Healthcare 4.0," 2020, IEEE Journal of Biomedical and Health Informatics
  • "Observer-Based Sliding Mode Control for Markov Jump Systems With Actuator Failures and Asynchronous Modes," 2020, IEEE Transactions on Circuits & Systems II Express Briefs
  • "Cooperative Estimation to Reconstruct the Parametric Flow Field Using Multiple AUVs," 2021, IEEE Transactions on Instrumentation and Measurement
  • "Distributed Secondary Control for DC Microgrid With Event-Triggered Signal Transmissions," 2021, IEEE Transactions on Sustainable Energy
  • "Adaptive Fuzzy Asynchronous Control for Nonhomogeneous Markov Jump Power Systems Under Hybrid Attacks," 2022, IEEE Transactions on Fuzzy Systems

Liu collaborates frequently with several researchers. Prominent coauthors include Senlin Zhang, Ronghao Zheng, Shanling Dong, Ping Wei, and Badong Chen. The most frequent collaborator is Senlin Zhang, with a significant number of joint publications.

Best Publications

  • Data-Based Line Trip Fault Prediction in Power Systems Using LSTM Networks and SVM

    Senlin Zhang;Yixing Wang;Meiqin Liu;Zhejing Bao

  • Secure Health Data Sharing for Medical Cyber-Physical Systems for the Healthcare 4.0

    Han Qiu;Meikang Qiu;Meiqin Liu;Gerard Memmi

  • Fault diagnosis based on deep learning

    Feiya Lv;Chenglin Wen;Zejing Bao;Meiqin Liu

  • RiSH: A robot-integrated smart home for elderly care

    Ha Manh Do;Minh Pham;Weihua Sheng;Dan Yang

  • Exponential ${ m H}_{\infty}$ Synchronization of General Discrete-Time Chaotic Neural Networks With or Without Time Delays

    Donglian Qi;Meiqin Liu;Meikang Qiu;Senlin Zhang

  • Loop scheduling and bank type assignment for heterogeneous multi-bank memory

    Meikang Qiu;Minyi Guo;Meiqin Liu;Chun Jason Xue

  • Privacy-preserving multi-channel communication in Edge-of-Things

    Keke Gai;Meikang Qiu;Zenggang Xiong;Meiqin Liu

  • A Dynamic Scalable Blockchain Based Communication Architecture for IoT

    Han Qiu;Meikang Qiu;Gerard Memmi;Zhong Ming

  • Wearable Sensor-Based Behavioral Anomaly Detection in Smart Assisted Living Systems

    Chun Zhu;Weihua Sheng;Meiqin Liu

  • Cooperative Estimation to Reconstruct the Parametric Flow Field Using Multiple AUVs

    Linlin Shi;Ronghao Zheng;Senlin Zhang;Meiqin Liu

  • Short-Term Load Forecasting with Multi-Source Data Using Gated Recurrent Unit Neural Networks

    Yixing Wang;Meiqin Liu;Zhejing Bao;Senlin Zhang

  • Observer-Based Sliding Mode Control for Markov Jump Systems With Actuator Failures and Asynchronous Modes

    Shanling Dong;Meiqin Liu;Zheng-Guang Wu;Kaibo Shi

  • Electronic Health Record Error Prevention Approach Using Ontology in Big Data

    Keke Gai;Meikang Qiu;Li-Chiou Chen;Meiqin Liu

  • A novel pre-cache schema for high performance Android system

    Hui Zhao;Min Chen;Meikang Qiu;Keke Gai

  • A Hidden Markov Model based driver intention prediction system

    Duy Tran;Weihua Sheng;Li Liu;Meiqin Liu

  • Distributed Secondary Control for DC Microgrid With Event-Triggered Signal Transmissions

    Lantao Xing;Qianwen Xu;Fanghong Guo;Zheng-Guang Wu

  • Delayed Standard Neural Network Models for Control Systems

    Meiqin Liu

  • Weighted time series fault diagnosis based on a stacked sparse autoencoder

    Feiya Lv;Chenglin Wen;Meiqin Liu;Zhejing Bao

  • Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement

    Unknown

  • Deep learning neural network for power system fault diagnosis

    Yixing Wang;Meiqin Liu;Zhejing Bao

  • Optimal exponential synchronization of general chaotic delayed neural networks: An LMI approach

    Meiqin Liu

  • Low-Power Low-Latency Data Allocation for Hybrid Scratch-Pad Memory

    Meikang Qiu;Zhi Chen;Meiqin Liu

Frequent Co-Authors

Meikang Qiu
Meikang Qiu Augusta University
Weihua Sheng
Weihua Sheng Oklahoma State University
Keke Gai
Keke Gai Beijing Institute of Technology
Zheng-Guang Wu
Zheng-Guang Wu Zhejiang University
Yi Shen
Yi Shen Huazhong University of Science and Technology
Jianwei Niu
Jianwei Niu Beihang University
Guanrong Chen
Guanrong Chen City University of Hong Kong
Zhiyun Lin
Zhiyun Lin Hangzhou Dianzi University
X. Rong Li
X. Rong Li University of New Orleans
Gang Feng
Gang Feng City University of Hong Kong

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