Stephen Lau

827 total citations · 2 hit papers
10 papers, 645 citations indexed

About

Stephen Lau is a scholar working on Civil and Structural Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stephen Lau has authored 10 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Civil and Structural Engineering, 3 papers in Biomedical Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Stephen Lau's work include Asphalt Pavement Performance Evaluation (5 papers), Infrastructure Maintenance and Monitoring (5 papers) and Optical Coherence Tomography Applications (3 papers). Stephen Lau is often cited by papers focused on Asphalt Pavement Performance Evaluation (5 papers), Infrastructure Maintenance and Monitoring (5 papers) and Optical Coherence Tomography Applications (3 papers). Stephen Lau collaborates with scholars based in Malaysia, China and Australia. Stephen Lau's co-authors include Xin Wang, Xu Yang, Edwin K. P. Chong, Ling Ding, Jingwei Liu, Sang Luo, Vincent C. S. Lee, Kin Fun Li, Ningqun Guo and Xin Wang and has published in prestigious journals such as IEEE Access, Sensors and Computer-Aided Civil and Infrastructure Engineering.

In The Last Decade

Stephen Lau

10 papers receiving 633 citations

Hit Papers

Automated pavement crack detection and segmentation based... 2020 2026 2022 2024 2020 2020 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephen Lau Malaysia 7 507 140 92 67 43 10 645
Mark David Jenkins United Kingdom 11 372 0.7× 139 1.0× 52 0.6× 46 0.7× 52 1.2× 18 492
Wenbo Hu China 12 218 0.4× 83 0.6× 64 0.7× 107 1.6× 61 1.4× 35 460
Van-Duc Tran Vietnam 9 436 0.9× 117 0.8× 68 0.7× 34 0.5× 60 1.4× 16 533
Zihao Xu China 8 238 0.5× 64 0.5× 67 0.7× 48 0.7× 35 0.8× 18 394
Chaobo Zhang China 10 255 0.5× 123 0.9× 41 0.4× 108 1.6× 63 1.5× 44 489
Hooman Parvardeh United States 6 456 0.9× 145 1.0× 107 1.2× 46 0.7× 47 1.1× 12 551
Varun Kasireddy United States 7 724 1.4× 145 1.0× 113 1.2× 75 1.1× 91 2.1× 11 839
Shi Qiu China 10 252 0.5× 92 0.7× 35 0.4× 47 0.7× 64 1.5× 33 366
Xiaojun Wei China 12 405 0.8× 154 1.1× 32 0.3× 77 1.1× 51 1.2× 44 585

Countries citing papers authored by Stephen Lau

Since Specialization
Citations

This map shows the geographic impact of Stephen Lau's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephen Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Lau more than expected).

Fields of papers citing papers by Stephen Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Lau. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephen Lau. The network helps show where Stephen Lau may publish in the future.

Co-authorship network of co-authors of Stephen Lau

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Lau. A scholar is included among the top collaborators of Stephen Lau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen Lau. Stephen Lau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Lau, Stephen, et al.. (2023). Automatic pavement crack segmentation using a generative adversarial network (GAN)-based convolutional neural network. Results in Engineering. 19. 101267–101267. 33 indexed citations
2.
Lau, Stephen, et al.. (2023). Single-pixel image reconstruction based on block compressive sensing and convolutional neural network. International Journal of Hydromechatronics. 6(3). 258–273. 15 indexed citations
3.
Wang, Xin, et al.. (2023). Single-pixel image reconstruction based on block compressive sensing and convolutional neural network. International Journal of Hydromechatronics. 6(3). 258–258. 1 indexed citations
4.
Lau, Stephen, et al.. (2022). Transparent Object Reconstruction Based on Compressive Sensing and Super-Resolution Convolutional Neural Network. Photonic Sensors. 12(4). 4 indexed citations
5.
Lau, Stephen, et al.. (2022). Feature pyramid network with self-guided attention refinement module for crack segmentation. Structural Health Monitoring. 22(1). 672–688. 35 indexed citations
7.
Lau, Stephen, Xin Wang, Yang Xu, & Edwin K. P. Chong. (2020). Automated Pavement Crack Segmentation Using Fully Convolutional U-Net with a Pretrained ResNet-34 Encoder.. 3 indexed citations
8.
Liu, Jingwei, Xu Yang, Stephen Lau, et al.. (2020). Automated pavement crack detection and segmentation based on two-step convolutional neural network. Computer-Aided Civil and Infrastructure Engineering. 35(11). 1291–1305. 286 indexed citations breakdown →
9.
Lau, Stephen, Edwin K. P. Chong, Xu Yang, & Xin Wang. (2020). Automated Pavement Crack Segmentation Using U-Net-Based Convolutional Neural Network. IEEE Access. 8. 114892–114899. 207 indexed citations breakdown →
10.
Li, Kin Fun, et al.. (2011). A Web-Based Sign Language Translator Using 3D Video Processing. 356–361. 36 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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