The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Wai Lok Woo sits on this spectrum.
This scientist: 389 publications — 86th percentile
86% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Wai Lok Woo sits on this spectrum.
This scientist: 44 D-Index — 48th percentile
48% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Wai Lok Woo is affiliated with Northumbria University in the United Kingdom. Their research spans engineering and computer science, with significant contributions to several interconnected subfields. The subfields of Wai Lok Woo's work include artificial intelligence, mechanical engineering, computer vision and pattern recognition, mechanics of materials, and biomedical engineering.
Their scholarly output covers a diverse range of topics such as non-destructive testing techniques, thermography and photoacoustic techniques, industrial vision systems and defect detection, context-aware activity recognition systems, ultrasonics and acoustic wave propagation, welding techniques and residual stresses, and EEG and brain-computer interfaces.
Wai Lok Woo has published extensively, contributing numerous articles to various scientific venues. Some of the frequent publication outlets are:
Notable recent papers authored or co-authored by Wai Lok Woo include:
Throughout their career, Wai Lok Woo has collaborated frequently with a number of researchers, including:
The volume of publications in the fields of engineering and computer science highlights an engagement with multidisciplinary research that blends theoretical and applied approaches. Wai Lok Woo's work in artificial intelligence and computer vision and pattern recognition intersects strongly with industrial and biomedical applications.
Weixian Li;Thillainathan Logenthiran;Van-Tung Phan;Wai Lok Woo
Qin Luo;Bin Gao;Wai Lok Woo;Yang Yang
Liang Cheng;Bin Gao;Gui Yun Tian;Wai Lok Woo
Bin Gao;Libing Bai;Wai Lok Woo;Gui Yun Tian
Yunus Celik;Samuel Stuart;Wai Lok Woo;Alan Godfrey
Bin Gao;W L Woo;S S Dlay
T. T. Teo;T. Logenthiran;W. L. Woo
Weixian Li;Thillainathan Logenthiran;Van-Tung Phan;Wai Lok Woo
Tiong Teck Teo;Thillainathan Logenthiran;Wai Lok Woo;Khalid Abidi
Mohammed A. M. Abdullah;Satnam S. Dlay;Wai L. Woo;Jonathon A. Chambers
Bin Gao;Yunze He;Wai Lok Woo;Gui Yun Tian
Bin Gao;Wai Lok Woo;Yunze He;Gui Yun Tian
Thillainathan Logenthiran;Ramasamy Thaiyal Naayagi;Wai Lok Woo;Van-Tung Phan
Bozhen Hu;Bin Gao;Wai Lok Woo;Lingfeng Ruan
Bin Gao;W. L. Woo;S. S. Dlay
M.A. Dabbah;W.L. Woo;S.S. Dlay
Xiaoqing Li;Bin Gao;Wai Lok Woo;Gui Yun Tian
S. Alkassar;W. L. Woo;S. S. Dlay;J. A. Chambers
W. Li;T. Logenthiran;W. L. Woo
Rebeen Ali Hamad;Masashi Kimura;Longzhi Yang;Wai Lok Woo
Bin Gao;W. L. Woo;S. S. Dlay
G. Rafiee;S.S. Dlay;W.L. Woo
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