World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
9464
World Ranking
6417
National Ranking
1204

Ming Liu publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Ming Liu sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 152 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Ming Liu D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Ming Liu sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Ming Liu is affiliated with the Harbin Institute of Technology in China. Their research spans engineering and computer science, with a strong emphasis on specialized subfields including computer vision and pattern recognition, artificial intelligence, control and systems engineering, mechanical engineering, and biomedical engineering.

Their work covers a range of scientific topics such as anomaly detection techniques and applications, electricity theft detection techniques, advanced neural network applications, elevator systems and control, iterative learning control systems, hydraulic and pneumatic systems, and robotic locomotion and control.

Ming Liu has contributed to several academic publications, appearing in a variety of venues including:

  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • IEEE Access
  • Robotica
  • IEEE Transactions on Instrumentation and Measurement

Recent papers authored by Ming Liu include:

  • "Semi-Active Suspension Control Based on Deep Reinforcement Learning" (2020), published in IEEE Access

Other related works appearing in recent years by collaborators in the same research network cover topics aligned with their fields, such as humanoid adaptive locomotion, 3-D human pose estimation, minority oversampling in classification tasks, and system simulation for service operations management.

Ming Liu frequently collaborates with a consistent group of coauthors, including Shuaishuai Zhang, Yanfang Yin, Qigang Zhu, Benji Peng, and Xinyuan Song. Each of these collaborators has worked with Ming Liu on multiple occasions, reflecting ongoing research partnerships.

Best Publications

  • Stability and Stabilization of Switched Linear Systems With Mode-Dependent Average Dwell Time

    Xudong Zhao;Lixian Zhang;Peng Shi;Ming Liu

  • Brief paper: Stability of switched positive linear systems with average dwell time switching

    Xudong Zhao;Lixian Zhang;Peng Shi;Ming Liu

  • Sensor fault estimation and tolerant control for Itô stochastic systems with a descriptor sliding mode approach

    Ming Liu;Peng Shi

  • Brief paper: Stabilization of Markovian jump linear system over networks with random communication delay

    Ming Liu;Daniel W. C. Ho;Yugang Niu

  • Asynchronous Filtering of Discrete-Time Switched Linear Systems With Average Dwell Time

    Lixian Zhang;Naigang Cui;Ming Liu;Ye Zhao

  • Fault-Tolerant Control for Nonlinear Markovian Jump Systems via Proportional and Derivative Sliding Mode Observer Technique

    Ming Liu;Peng Shi;Lixian Zhang;Xudong Zhao

  • Fault-Tolerant Sliding-Mode-Observer Synthesis of Markovian Jump Systems Using Quantized Measurements

    Peng Shi;Ming Liu;Lixian Zhang

  • Fuzzy-Model-Based Fault-Tolerant Design for Nonlinear Stochastic Systems Against Simultaneous Sensor and Actuator Faults

    Ming Liu;Xibin Cao;Peng Shi

  • Fault-Tolerant Consensus of Multi-Agent System With Distributed Adaptive Protocol

    Shun Chen;Daniel W. C. Ho;Lulu Li;Ming Liu

  • Fault Estimation and Tolerant Control for Fuzzy Stochastic Systems

    Ming Liu;Xibin Cao;Peng Shi

  • Adaptive fault-tolerant compensation control for Markovian jump systems with mismatched external disturbance

    Ming Liu;Daniel W.C. Ho;Peng Shi

  • CNN-based encoder-decoder networks for salient object detection: A comprehensive review and recent advances

    Yuzhu Ji;Haijun Zhang;Zhao Zhang;Ming Liu

  • Finite-Time Control for Spacecraft Formation with Dual-Number-Based Description

    Jianying Wang;Haizhao Liang;Zhaowei Sun;Shijie Zhang

  • Adaptive Control for Stochastic Switched Nonlower Triangular Nonlinear Systems and Its Application to a One-Link Manipulator

    Ben Niu;Choon Ki Ahn;Huan Li;Ming Liu

  • Sliding mode control of continuous-time Markovian jump systems with digital data transmission

    Ming Liu;Lixiang Zhang;Peng Shi;Peng Shi;Yuxin Zhao

  • $H_{\infty}$ Output Tracking Control for Networked Systems With Adaptively Adjusted Event-Triggered Scheme

    Huaicheng Yan;Chenyang Hu;Hao Zhang;Hamid Reza Karimi

  • Fault Estimation Sliding-Mode Observer With Digital Communication Constraints

    Ming Liu;Lixian Zhang;Peng Shi;Yuxin Zhao

  • Robust Control of Stochastic Systems Against Bounded Disturbances With Application to Flight Control

    Ming Liu;Lixian Zhang;Peng Shi;Hamid Reza Karimi

  • Robust Filtering Design for Stochastic System With Mode-Dependent Output Quantization

    Ming Liu;D W C Ho;Yugang Niu

  • Neural-Network-Based Adaptive Backstepping Control With Application to Spacecraft Attitude Regulation

    Xibin Cao;Peng Shi;Zhuoshi Li;Ming Liu

Frequent Co-Authors

Peng Shi
Peng Shi University of Adelaide
Lixian Zhang
Lixian Zhang Harbin Institute of Technology
Daniel W. C. Ho
Daniel W. C. Ho City University of Hong Kong
Hamid Reza Karimi
Hamid Reza Karimi Polytechnic University of Milan
Xudong Zhao
Xudong Zhao Dalian University of Technology
Ben Niu
Ben Niu Chinese Academy of Sciences
Jianbin Qiu
Jianbin Qiu Harbin Institute of Technology
Yugang Niu
Yugang Niu East China University of Science and Technology
Ligang Wu
Ligang Wu Harbin Institute of Technology
Huanqing Wang
Huanqing Wang Bohai University

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