World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
6144
World Ranking
8021
National Ranking
2213

Weihua Sheng 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 Weihua Sheng 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: 229 publications — 58th percentile

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

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

Weihua Sheng 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 Weihua Sheng 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: 38 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Weihua Sheng is affiliated with Oklahoma State University in the United States. Their research spans multiple areas within computer science and engineering, with a focus on the intersection of robotics, artificial intelligence, and human-computer interaction.

The main fields of study covered by Weihua Sheng include Computer Science and Engineering, with subfields such as Computer Vision and Pattern Recognition, Civil and Structural Engineering, Artificial Intelligence, Control and Systems Engineering, and Social Psychology. This diverse range indicates a multidisciplinary approach bridging technical development and human-centered applications.

Key topics in their work involve Social Robot Interaction and Human-Robot Interaction (HRI), Technology Use by Older Adults, Context-Aware Activity Recognition Systems, Digital Mental Health Interventions, Human Pose and Action Recognition, Multimodal Machine Learning Applications, and Robotic Path Planning Algorithms. These research areas reflect an emphasis on both developing intelligent systems and addressing societal challenges related to aging and health.

Frequent publication venues for Weihua Sheng include IEEE Robotics and Automation Letters, IEEE Transactions on Automation Science and Engineering, Arabian Journal for Science and Engineering, IEEE Transactions on Intelligent Transportation Systems, and Smart Health. These venues highlight a blend of automation, robotics, transportation, and health-related research.

Weihua Sheng has collaborated extensively with several coauthors including Alex Bishop, Zhidong Su, Fei Liang, Ha Manh, and Barbara W. Carlson. These collaborations have contributed to a consistent stream of publications in their research domains.

Recent significant publications by Weihua Sheng include:

  • A lightweight encoder-decoder network for automatic pavement crack detection (2023, Computer-Aided Civil and Infrastructure Engineering)
  • Clinical Screening Interview Using a Social Robot for Geriatric Care (2020, IEEE Transactions on Automation Science and Engineering)
  • SoHAM: A Sound-Based Human Activity Monitoring Framework for Home Service Robots (2021, IEEE Transactions on Automation Science and Engineering)
  • Conversation-Based Medication Management System for Older Adults Using a Companion Robot and Cloud (2021, IEEE Robotics and Automation Letters)
  • Negative Emotion Management Using a Smart Shirt and a Robot Assistant (2021, IEEE Robotics and Automation Letters)

The research output shows a balance between theoretical advancements in machine learning and practical applications involving robotic systems tailored to support older adults and healthcare contexts. The work on human activity recognition, social robots, and context-aware systems demonstrates an integration of engineering methods with social and psychological considerations.

Best Publications

  • Distributed multi-robot coordination in area exploration

    Weihua Sheng;Qingyan Yang;Jindong Tan;Ning Xi

  • Wearable Sensor-Based Hand Gesture and Daily Activity Recognition for Robot-Assisted Living

    Chun Zhu;Weihua Sheng

  • A Robotic Crack Inspection and Mapping System for Bridge Deck Maintenance

    Ronny Salim Lim;Hung Manh La;Weihua Sheng

  • Human daily activity recognition in robot-assisted living using multi-sensor fusion

    Chun Zhu;Weihua Sheng

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

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

  • Cooperative and Active Sensing in Mobile Sensor Networks for Scalar Field Mapping

    Hung Manh La;Weihua Sheng;Jiming Chen

  • Multirobot Cooperative Learning for Predator Avoidance

    Hung Manh La;Ronny Salim Lim;Weihua Sheng

  • Delivering home healthcare through a Cloud-based Smart Home Environment (CoSHE)

    Minh Pham;Yehenew Mengistu;Ha Manh Do;Weihua Sheng

  • Distributed Sensor Fusion for Scalar Field Mapping Using Mobile Sensor Networks

    Hung Manh La;Weihua Sheng

  • Developing a crack inspection robot for bridge maintenance

    Ronny Salim Lim;Hung Manh La;Zeyong Shan;Weihua Sheng

  • Motion- and location-based online human daily activity recognition

    Chun Zhu;Weihua Sheng

  • Automated robot trajectory planning for spray painting of free-form surfaces in automotive manufacturing

    Heping Chen;Weihua Sheng;Ning Xi;Mumin Song

  • Real-time detection of distracted driving based on deep learning

    Duy Tran;Ha Manh Do;Weihua Sheng;He Bai

  • Human gesture recognition through a Kinect sensor

    Ye Gu;Ha Do;Yongsheng Ou;Weihua Sheng

  • Automated CAD-guided robot path planning for spray painting of compound surfaces

    Weihua Sheng;Ning Xi;Mumin Song;Yifan Chen

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

    Chun Zhu;Weihua Sheng;Meiqin Liu

  • Passive Infrared (PIR)-Based Indoor Position Tracking for Smart Homes Using Accessibility Maps and A-Star Algorithm.

    Dan Yang;Bin Xu;Kaiyou Rao;Weihua Sheng

  • Tool path planning for compound surfaces in spray forming processes

    Weihua Sheng;Heping Chen;Ning Xi;Yifan Chen

  • Dynamic target tracking and observing in a mobile sensor network

    Hung Manh La;Weihua Sheng

  • Using human motion estimation for human-robot cooperative manipulation

    Anand Thobbi;Ye Gu;Weihua Sheng

Frequent Co-Authors

Meiqin Liu
Meiqin Liu Zhejiang University
Hung Manh La
Hung Manh La University of Nevada Reno
Ning Xi
Ning Xi University of Hong Kong
Jindong Tan
Jindong Tan University of Tennessee at Knoxville
Girish Chowdhary
Girish Chowdhary University of Illinois at Urbana-Champaign
Yu Wang
Yu Wang Temple University
Jizhong Xiao
Jizhong Xiao City University of New York
Badong Chen
Badong Chen Xi'an Jiaotong University
Jiming Chen
Jiming Chen Zhejiang University

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