World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
7905
World Ranking
6492
National Ranking
410

Hongnian Yu 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 Hongnian Yu 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: 315 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Hongnian Yu 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 Hongnian Yu 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

Hongnian Yu is a researcher affiliated with Edinburgh Napier University in the United Kingdom. Their scholarly work spans primarily the fields of Engineering and Computer Science, with a significant focus on specialized subfields such as Control and Systems Engineering, Biomedical Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, and Civil and Structural Engineering.

The scientist's research interests cover multiple topics, including Distributed Control Multi-Agent Systems, Adaptive Control of Nonlinear Systems, Muscle Activation and Electromyography Studies, Infrastructure Maintenance and Monitoring, Hand Gesture Recognition Systems, Soft Robotics and Applications, and Neural Networks Stability and Synchronization.

Hongnian Yu has contributed to a range of recent papers across various venues. Notable publications include:

  • ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images, 2022, Biomedical Signal Processing and Control
  • Wave-Net: A lightweight deep network for retinal vessel segmentation from fundus images, 2022, Computers in Biology and Medicine
  • A survey on underactuated robotic systems: Bio-inspiration, trajectory planning and control, 2020, Mechatronics
  • Multi-scale triple-attention network for pixelwise crack segmentation, 2023, Automation in Construction
  • Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems, 2022, IEEE Transactions on Neural Networks and Learning Systems

Frequent co-authors collaborating with Hongnian Yu include:

  • Yanhong Liu
  • Huarong Zhao
  • Lei Yang
  • Chan Hwang See
  • Jinjun Shan

The researcher commonly publishes their work in several venues, with multiple contributions to:

  • arXiv (Cornell University)
  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Transactions on Intelligent Transportation Systems
  • Electronics
  • IEEE Access

Best Publications

  • Management approaches for Industry 4.0: A human resource management perspective

    Saqib Shamim;Shuang Cang;Hongnian Yu;Yun Li

  • Elderly activities recognition and classification for applications in assisted living

    Saisakul Chernbumroong;Shuang Cang;Anthony Atkins;Hongnian Yu

  • A survey on wearable sensor modality centred human activity recognition in health care

    Yan Wang;Yan Wang;Shuang Cang;Hongnian Yu;Hongnian Yu

  • Green IoT: An Investigation on Energy Saving Practices for 2020 and Beyond

    Rushan Arshad;Saman Zahoor;Munam Ali Shah;Abdul Wahid

  • A Survey of Underactuated Mechanical Systems

    Yang Liu;Hongnian Yu

  • Smart manufacturing based on cyber-physical systems and beyond

    Xifan Yao;Jiajun Zhou;Yingzi Lin;Yun Li;Yun Li

  • Activity classification using a single wrist-worn accelerometer

    Saisakul Chernbumroong;Anthony S. Atkins;Hongnian Yu

  • SAMADroid: A Novel 3-Level Hybrid Malware Detection Model for Android Operating System

    Saba Arshad;Munam A. Shah;Abdul Wahid;Amjad Mehmood

  • Optimal Foot Location for Placing Wearable IMU Sensors and Automatic Feature Extraction for Gait Analysis

    Arif Reza Anwary;Hongnian Yu;Michael Vassallo

  • Modelling of a Vibro-Impact Capsule System

    Yang Liu;Marian Wiercigroch;Ekaterina Pavlovskaia;Hongnian Yu

  • Impact of knowledge oriented leadership on knowledge management behaviour through employee work attitudes

    Saqib Shamim;Shuang Cang;Hongnian Yu

  • Examining the Feasibilities of Industry 4.0 for the Hospitality Sector with the Lens of Management Practice

    Saqib Shamim;Shuang Cang;Hongnian Yu;Yun Li

  • An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors

    Arif Reza Anwary;Hongnian Yu;Michael Vassallo

  • Adaptive neural network tracking control for underactuated systems with matched and mismatched disturbances

    Pengcheng Liu;Hongnian Yu;Shuang Cang

  • Integrating Petri nets and hybrid heuristic search for the scheduling of FMS

    A. Reyes;H. Yu;G. Kelleher;S. Lloyd

  • A combination selection algorithm on forecasting

    Shuang Cang;Hongnian Yu

  • Hybrid heuristic search for the scheduling of flexible manufacturing systems using Petri nets

    A.R. Moro;H. Yu;G. Kelleher

  • Genetic Algorithm-Based Classifiers Fusion for Multisensor Activity Recognition of Elderly People

    Saisakul Chernbumroong;Shuang Cang;Hongnian Yu

  • Combined Petri net modelling and AI-based heuristic hybrid search for flexible manufacturing systems-part I: Petri net modelling and heuristic search

    H. Yu;A. Reyes;S. Cang;S. Lloyd

  • Co-simulation of wireless networked control systems over mobile ad hoc network using SIMULINK and OPNET

    Mohammad Shahidul Hasan;Hongnian Yu;Alison Carrington;Taicheng Yang

  • Supervisory orientation, employee goal orientation, and knowledge management among front line hotel employees.

    Saqib Shamim;Shuang Cang;Hongnian Yu

  • Adaptive Control Of Robot Manipulators

    H. Yu;L.D. Seneviratne;S.W.E. Earles

  • Distributed Adaptive Fuzzy Containment Control of Stochastic Pure-Feedback Nonlinear Multiagent Systems With Local Quantized Controller and Tracking Constraint

    Liuliu Zhang;Changchun Hua;Hongnian Yu;Xinping Guan

Frequent Co-Authors

Mingcong Deng
Mingcong Deng Tokyo University of Agriculture and Technology
Yun Li
Yun Li University of Electronic Science and Technology of China
Feng Gao
Feng Gao Shanghai Jiao Tong University
Lakmal Seneviratne
Lakmal Seneviratne Khalifa University
Florentin Smarandache
Florentin Smarandache University of New Mexico
Changchun Hua
Changchun Hua Yanshan University
Long Cheng
Long Cheng Chinese Academy of Sciences
Gerhard Neumann
Gerhard Neumann Karlsruhe Institute of Technology
Min Tan
Min Tan Chinese Academy of Sciences
Xinping Guan
Xinping Guan Shanghai Jiao Tong University

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