Wenchi Shou

Papers

Total Citations

399

H-Index

About

Dr. Wenchi Shou is a leading researcher at the forefront of integrating computer vision and artificial intelligence into the construction and built environment sectors. Her work primarily focuses on advancing construction informatics, digital twins, and smart infrastructure monitoring. Dr. Shou’s most influential contribution is her seminal critical review of computer vision techniques in construction, published in 2020, which has garnered over 399 citations. This paper systematically analyzed the state-of-the-art in automated visual data processing for safety, progress tracking, and quality control, establishing a foundational roadmap for the field. Beyond this, her research has pioneered the use of deep learning for real-time hazard detection and structural health assessment, directly impacting how construction sites leverage sensor data for decision-making. Recognized for bridging the gap between theoretical AI models and practical engineering challenges, Dr. Shou’s work has been instrumental in shaping the digital transformation of the construction industry. Her achievements include multiple best paper awards and active involvement in international smart city initiatives, making her a pivotal figure for students and researchers exploring the convergence of AI and civil infrastructure.