World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
45
Citations
10586
World Ranking
5365
National Ranking
48

Mao-Jiun J. Wang 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 Mao-Jiun J. Wang 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: 154 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Mao-Jiun J. Wang 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 Mao-Jiun J. Wang 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: 45 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Mao-Jiun J. Wang is affiliated with Tunghai University in Taiwan and specializes in research intersecting computer science, psychology, and engineering. Their work emphasizes augmented reality applications, virtual reality, and human-automation interaction, with an interdisciplinary approach addressing cognitive and ergonomic aspects.

The main fields of study in Mao-Jiun J. Wang's research include:

  • Computer Science
  • Psychology
  • Engineering

Subfields covered encompass social psychology, computer vision and pattern recognition, human-computer interaction, automotive engineering, and media technology.

  • Social Psychology
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Automotive Engineering
  • Media Technology

The research topics Mao-Jiun J. Wang has contributed to include:

  • Augmented Reality Applications
  • Virtual Reality Applications and Impacts
  • Human-Automation Interaction and Safety
  • Ergonomics and Musculoskeletal Disorders
  • Spatial Cognition and Navigation
  • Advanced Optical Imaging Technologies
  • Simulation and Modeling Applications

Mao-Jiun J. Wang's recent publications cover a range of topics primarily related to augmented reality and ergonomic evaluation. Notable papers include:

  • Usability evaluation of augmented reality-based maintenance instruction system, 2021, Human Factors and Ergonomics in Manufacturing & Service Industries
  • Developing a hand sizing system for a hand exoskeleton device based on the Kansei Engineering method, 2020, Journal of Ambient Intelligence and Humanized Computing
  • Determining Work-Rest Schedules for Visual Tasks That Use Optical Head-Mounted Displays Based on Visual Fatigue and Visually Induced Motion Sickness Recovery, 2023, International Journal of Environmental Research and Public Health
  • Usability evaluation of augmented reality visualizations on an optical see-through head-mounted display for assisting machine operations, 2023, Applied Ergonomics
  • Study of the foot morphology of recreational marathon runners, 2020, Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology

Mao-Jiun J. Wang frequently collaborates with several researchers, including:

  • Chao-Hung Wang
  • Chih-Yu Hsiao
  • Chia-Chen Kuo
  • An-Ting Tai
  • Wei-Jen Lo

They have published in a range of journals and conferences, reflecting interdisciplinary engagement across human factors, ambient intelligence, environmental research, ergonomics, and sports engineering venues.

  • Human Factors and Ergonomics in Manufacturing & Service Industries
  • International Journal of Environmental Research and Public Health
  • Applied Ergonomics
  • Journal of Ambient Intelligence and Humanized Computing
  • Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology

Best Publications

  • Ranking fuzzy numbers with integral value

    Tian-Shy Liou;Mao-Jiun J. Wang

  • Image thresholding by minimizing the measures of fuzziness

    Liang-Kai Huang;Mao-Jiun J. Wang

  • An AHP-based approach to ERP system selection

    Chun-Chin Wei;Chen-Fu Chien;Mao-Jiun J. Wang

  • A fuzzy multi-criteria decision-making method for facility site selection

    Gin-Shuh Liang;Mao-Jiun J. Wang

  • Personnel selection using fuzzy MCDM algorithm

    Gin-Shuh Liang;Mao-Jiun J. Wang

  • A comprehensive framework for selecting an ERP system

    Chun-Chin Wei;Mao-Jiun J. Wang

  • The change of gait parameters during walking at different percentage of preferred walking speed for healthy adults aged 20-60 years

    Meng-Jung Chung;Mao-Jiun J. Wang

  • Automated inspection of printed circuit boards through machine vision

    Wen-Yen Wu;Mao-Jiun J. Wang;Chih-Ming Liu

  • A fuzzy set approach for event tree analysis

    David Huang;Tin-Chih Chen;Mao Jiun J. Wang

  • Hybrid fault tree analysis using fuzzy sets

    Ching-Torng Lin;Mao-Jiun J. Wang

  • Relationship between maximum acceptable work time and physical workload

    Hsin-Chieh Wu;Mao-Jiun J. Wang

  • Usability evaluation of E-books

    Yen-Yu Kang;Mao-Jiun J. Wang;Rungtai Lin

  • Fuzzy weighted average: an improved algorithm

    Tian-Shy Liou;Mao-Jiun J. Wang

  • A fuzzy multi-criteria decision-making approach for robot selection

    Gin-Shuh Liang;Mao-Jiun J. Wang

  • Tool steel materials selection under fuzzy environment

    Mao-Jiun J. Wang;Tien-Chien Chang

  • Automated anthropometric data collection using 3D whole body scanners

    Jun-Ming Lu;Mao-Jiun J. Wang

  • Fuzzy fault-tree analysis using failure possibility

    Gin-Shuh Liang;Mao-Jiun J. Wang

  • The development of sizing systems for Taiwanese elementary-and high-school students

    Meng-Jung Chung;Hai-Fen Lin;Mao-Jiun J. Wang

  • Detecting the dominant points by the curvature-based polygonal approximation

    Wen-Yen Wu;Mao-Jiun J. Wang

  • Evaluating work ability and quality of life for clinical nurses in Taiwan.

    Min-Chi Chiu;Mao-Jiun J. Wang;Chih-Wei Lu;Shung-Mei Pan

  • Digital human modeling and workplace evaluation: Using an automobile assembly task as an example

    Shao‐Wen Chang;Mao‐Jiun J. Wang

  • DEVELOPMENT OF ANTHROPOMETRIC WORK ENVIRONMENT FOR TAIWANESE WORKERS

    Eric Min-yang Wang;Mao-Jiun Wang;Wen-Yu Yeh;Yu-Chuan Shih

  • Technical note The comparisons of anthropometric characteristics among four peoples in East Asia

    Yu-Cheng Lin;Mao-Jiun J. Wang;Eric M. Wang

Frequent Co-Authors

Colin G. Drury
Colin G. Drury University at Buffalo, State University of New York
Chuck Zhang
Chuck Zhang Georgia Institute of Technology
Joseph Sharit
Joseph Sharit University of Miami
Chen-Fu Chien
Chen-Fu Chien National Tsing Hua University

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