World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
32
Citations
4249
World Ranking
9571
National Ranking
2713

Yili 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 Yili 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: 128 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Yili 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 Yili 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: 32 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Yili Liu is affiliated with the University of Michigan-Ann Arbor in the United States. Their research encompasses several interdisciplinary areas, often intersecting engineering, cognitive science, and human factors.

Their recent publications cover a range of topics and venues. Notable papers include:

  • Predicting the Future Capacity and Remaining Useful Life of Lithium-Ion Batteries Based on Deep Transfer Learning (2024, Batteries)
  • IEEE Systems, Man, and Cybernetics Society (2021, IEEE Transactions on Human-Machine Systems)
  • Modeling Car-Following Behavior of Brain-Control Driving With Queuing Network Architecture (2023, IEEE Transactions on Vehicular Technology)
  • Human Prediction of Robot's Intention in Object Handling Tasks (2021, Proceedings of the Human Factors and Ergonomics Society Annual Meeting)
  • Effect of Payment Methods in Crowdsourcing Platforms (2022, Proceedings of the Human Factors and Ergonomics Society Annual Meeting)

The scientist frequently collaborates with several co-authors, including:

  • Matthew L. Bolton
  • Ricardo Chavarriaga
  • Luke
  • Michael C. Dorneich
  • Giancarlo Fortino

Liu's work is commonly published in venues such as:

  • IEEE Transactions on Human-Machine Systems
  • Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • Batteries
  • IEEE Transactions on Vehicular Technology
  • Journal of Safety Research

Their research fields and subfields cover diverse domains including:

  • Social Psychology
  • Cognitive Neuroscience
  • Control and Systems Engineering
  • Computer Science Applications
  • Automotive Engineering

The main topics addressed in Liu's work include:

  • Human-Automation Interaction and Safety
  • Team Dynamics and Performance
  • EEG and Brain-Computer Interfaces
  • Robot Manipulation and Learning
  • Mobile Crowdsensing and Crowdsourcing
  • Technology Adoption and User Behaviour
  • Open Source Software Innovations

Best Publications

  • EEG-Based Brain-Controlled Mobile Robots: A Survey

    Luzheng Bi;Xin-An Fan;Yili Liu

  • Codes and modalities in multiple resources: a success and a qualification

    Christopher D. Wickens;Yili Liu

  • Introduction to Human Factors Engineering (2nd Edition)

    Christopher D. Wickens;John Lee;Yili D. Liu;Sallie Gordon-Becker

  • Queueing Network-Model Human Processor (QN-MHP): A computational architecture for multitask performance in human-machine systems

    Yili Liu;Robert Feyen;Omer Tsimhoni

  • Engineering aesthetics and aesthetic ergonomics: theoretical foundations and a dual-process research methodology.

    Yili Liu

  • Computer-aided ergonomics: a case study of incorporating ergonomics analyses into workplace design.

    Robert Feyen;Yili Liu;Don Chaffin;Glenn Jimmerson

  • Queuing Network Modeling of Driver Workload and Performance

    Changxu Wu;Yili Liu

  • Effects of Symmetry and Number of Compositional Elements on Interface and Design Aesthetics

    Michael Bauerly;Yili Liu

  • Computational modeling and experimental investigation of effects of compositional elements on interface and design aesthetics

    Michael Bauerly;Yili Liu

  • Queueing network modeling of elementary mental processes.

    Yili Liu

  • Using a Head-up Display-Based Steady-State Visually Evoked Potential Brain–Computer Interface to Control a Simulated Vehicle

    Luzheng Bi;Xin-an Fan;Ke Jie;Teng Teng

  • Mental workload and cognitive task automaticity: an evaluation of subjective and time estimation metrics.

    Yili Liu;Christopher D. Wickens

  • Queuing Network Modeling of Transcription Typing

    Changxu Wu;Yili Liu

  • The aesthetic and the ethic dimensions of human factors and design

    Yili Liu

  • A Brain–Computer Interface-Based Vehicle Destination Selection System Using P300 and SSVEP Signals

    Xin-an Fan;Luzheng Bi;Teng Teng;Hongsheng Ding

  • Queuing network modeling of the psychological refractory period (PRP).

    Changxu Wu;Yili Liu

  • Queueing network modeling of human performance of concurrent spatial and verbal tasks

    Yili Liu

  • Webpage aesthetics, performance and usability: design variables and their effects.

    Kristi E. Schmidt;Yili Liu;Srivatsan Sridharan

  • EEG-Based Detection of Driver Emergency Braking Intention for Brain-Controlled Vehicles

    Teng Teng;Luzheng Bi;Yili Liu

  • Excellence in Engineering Education: Views of Undergraduate Engineering Students

    Cristina Pomales-García;Yili Liu

  • Web-Based Distance Learning Technology: The Impacts of Web Module Length and Format.

    Cristina Pomales-Garcia;Yili Liu

  • Computational models and experimental investigations of effects of balance and symmetry on the aesthetics of text-overlaid images

    Chien-Yin Lai;Pai-Hsun Chen;Sheng-Wen Shih;Yili Liu

  • Investigation of Driver Performance With Night Vision and Pedestrian Detection Systems—Part I: Empirical Study on Visual Clutter and Glance Behavior

    Ji Hyoun Lim;O Tsimhoni;Yili Liu

  • A Head-Up Display-Based P300 Brain–Computer Interface for Destination Selection

    Luzheng Bi;Xin-An Fan;Nini Luo;Ke Jie

  • EEG-Based Brain-Controlled Mobile Robots:

    Luzheng Bi;Xin-An Fan;Yili Liu

Frequent Co-Authors

Christopher D. Wickens
Christopher D. Wickens Colorado State University
Don B. Chaffin
Don B. Chaffin University of Michigan–Ann Arbor
John D. Lee
John D. Lee University of Wisconsin–Madison
Matthew P. Reed
Matthew P. Reed University of Michigan–Ann Arbor
Cleotilde Gonzalez
Cleotilde Gonzalez Carnegie Mellon University
Dimitar Petrov Filev
Dimitar Petrov Filev Ford Motor Company (United States)
David B. Kaber
David B. Kaber University of Florida

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

The field of Engineering and Technology in the USA offers a wealth of career options, many of which now intersect with business, project management, real estate, and user experience design. If you’re looking to broaden your expertise or pivot your career, pursuing an online degree in a related field can offer flexibility and new opportunities.

For those interested in leadership roles, an online mba no gmat program can provide valuable management and business skills. Similarly, technical professionals may benefit from a project manager degree online, which is designed to enhance abilities in planning, execution, and team management—key skills in many engineering projects.

If your interests extend into the property or construction sectors, combining your background with an online real estate degree can open doors in real estate development and property management. Alternatively, as digital technology continues to grow, a ux design degree online can help you specialize in designing user-friendly technology and digital platforms.

Best Scientists Citing Yili Liu

Trending Scientists

Recently Published Articles