World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
7264
World Ranking
6924
National Ranking
1276

Overview

Xingda Qu is affiliated with Shenzhen University in China and has contributed extensively to research in engineering and psychology, with a particular focus on social psychology and computer vision and pattern recognition. Their work also spans cognitive neuroscience, automotive engineering, and biomedical engineering.

Their recent publications cover a range of topics in autonomous vehicle technology, healthcare wearables, and image processing. Notable papers include:

  • Automated vehicle acceptance in China: Social influence and initial trust are key determinants (2020), published in Transportation Research Part C Emerging Technologies
  • Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF (2020), published in International Journal of Medical Informatics
  • Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness (2021), published in Transportation Research Part C Emerging Technologies
  • An infrared and visible image fusion method based on multi-scale transformation and norm optimization (2021), published in Information Fusion
  • A deep learning based image enhancement approach for autonomous driving at night (2020), published in Knowledge-Based Systems

Xingda Qu frequently collaborates with several researchers, with the most frequent co-authors being:

  • Xinyao Hu
  • Guofa Li
  • Zhong Zhao
  • Da Tao
  • Tingru Zhang

The scientist has published extensively in certain journals, including:

  • Journal of Autism and Developmental Disorders
  • International Journal of Industrial Ergonomics
  • Applied Ergonomics
  • IEEE Sensors Journal
  • International Journal of Environmental Research and Public Health

Their work embraces multiple main topics, such as:

  • Human-Automation Interaction and Safety
  • Autism Spectrum Disorder Research
  • Balance, Gait, and Falls Prevention
  • Autonomous Vehicle Technology and Safety
  • Ergonomics and Musculoskeletal Disorders
  • Musculoskeletal pain and rehabilitation
  • Traffic and Road Safety

Best Publications

  • The roles of initial trust and perceived risk in public’s acceptance of automated vehicles

    Tingru Zhang;Da Tao;Xingda Qu;Xiaoyan Zhang

  • Automated vehicle acceptance in China: social influence and initial trust are key determinants

    Tingru Zhang;Da Tao;Xingda Qu;Xiaoyan Zhang;Xiaoyan Zhang

  • Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF.

    Hailiang Wang;Da Tao;Na Yu;Xingda Qu

  • Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness

    Guofa Li;Yifan Yang;Shen Li;Xingda Qu

  • A Systematic Review of Physiological Measures of Mental Workload.

    Da Tao;Haibo Tan;Hailiang Wang;Xu Zhang

  • An infrared and visible image fusion method based on multi-scale transformation and norm optimization

    Guofa Li;Yongjie Lin;Xingda Qu

  • A systematic review and meta-analysis of user acceptance of consumer-oriented health information technologies

    Da Tao;Tieyan Wang;Tieshan Wang;Tingru Zhang

  • Influence of traffic congestion on driver behavior in post-congestion driving.

    Guofa Li;Weijian Lai;Xiaoxuan Sui;Xiaohang Li

  • A deep learning based image enhancement approach for autonomous driving at night

    Guofa Li;Guofa Li;Yifan Yang;Xingda Qu;Dongpu Cao

  • Effects of load carriage and fatigue on gait characteristics.

    Xingda Qu;Joo Chuan Yeo

  • Risk assessment based collision avoidance decision-making for autonomous vehicles in multi-scenarios

    Guofa Li;Guofa Li;Yifan Yang;Tingru Zhang;Xingda Qu

  • The role of personality traits and driving experience in self-reported risky driving behaviors and accident risk among Chinese drivers.

    Da Tao;Rui Zhang;Xingda Qu

  • Deep Learning Approaches on Pedestrian Detection in Hazy Weather

    Guofa Li;Yifan Yang;Xingda Qu

  • Drivers' visual scanning behavior at signalized and unsignalized intersections: A naturalistic driving study in China.

    Guofa Li;Ying Wang;Fangping Zhu;Xiaoxuan Sui

  • Key characteristics in designing massive open online courses (MOOCs) for user acceptance: an application of the extended technology acceptance model

    Da Tao;Pei Fu;Yunhui Wang;Tingru Zhang

  • A Temporal-Spatial Deep Learning Approach for Driver Distraction Detection Based on EEG Signals

    Guofa Li;Weiquan Yan;Shen Li;Xingda Qu

  • Affect prediction from physiological measures via visual stimuli

    Feng Zhou;Xingda Qu;Martin G. Helander;Jianxin (Roger) Jiao

  • Deep Reinforcement Learning Enabled Decision-Making for Autonomous Driving at Intersections

    Guofa Li;Guofa Li;Shenglong Li;Shen Li;Yechen Qin

  • Effects of external loads on balance control during upright stance: Experimental results and model-based predictions

    Xingda Qu;Maury A. Nussbaum

  • Extraction of descriptive driving patterns from driving data using unsupervised algorithms

    Guofa Li;Guofa Li;Yaoyu Chen;Dongpu Cao;Xingda Qu

  • An individual-specific gait pattern prediction model based on generalized regression neural networks

    Trieu Phat Luu;K.H. Low;Xingda Qu;H.B. Lim

  • Impacts of different types of insoles on postural stability in older adults

    Xingda Qu

  • Emotion Prediction from Physiological Signals: A Comparison Study Between Visual and Auditory Elicitors

    Feng Zhou;Feng Zhou;Xingda Qu;Jianxin Jiao;Martin G. Helander

  • Integrating usability and social cognitive theories with the technology acceptance model to understand young users' acceptance of a health information portal.

    Da Tao;Fenglian Shao;Hailiang Wang;Mian Yan

Frequent Co-Authors

Maury A. Nussbaum
Maury A. Nussbaum Virginia Tech
K.H. Low
K.H. Low Nanyang Technological University
Chun-Hsien Chen
Chun-Hsien Chen Nanyang Technological University
Dongpu Cao
Dongpu Cao University of Waterloo
Feng Zhou
Feng Zhou University of Michigan–Ann Arbor
Christopher D. Wickens
Christopher D. Wickens Colorado State University
Martin G. Helander
Martin G. Helander Nanyang Technological University
Yong Hu
Yong Hu University of Hong Kong
Keqiang Li
Keqiang Li Tsinghua University
Benoît G. Bardy
Benoît G. Bardy University of Montpellier

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