Stephen Lau
Impact in
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- Infrastructure Maintenance and Monitoring
- Asphalt Pavement Performance Evaluation
- Concrete Corrosion and Durability
- Structural Health Monitoring Techniques
Papers in
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- Infrastructure Maintenance and Monitoring 5
- Asphalt Pavement Performance Evaluation 5
- Concrete Corrosion and Durability 3
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- Optical Coherence Tomography Applications 3
- Co-authors
- Xin Wang (8 shared papers)Xu Yang (2 shared papers)Edwin K. P. Chong (4 shared papers)Jingwei Liu (1 shared paper)Ling Ding (1 shared paper)Sang Luo (1 shared paper)Vincent C. S. Lee (1 shared paper)Kin Fun Li (1 shared paper)
In The Last Decade
Stephen Lau
10 papers receiving 633 citations
Stephen Lau's Hit Papers
Peers
Comparison fields: 5 of 75
- Civil and Structural Engineering 507
- Acoustics and Ultrasonics 9
- Ocean Engineering 92
- Geology 29
- Industrial and Manufacturing Engineering 43
Countries citing papers authored by Stephen Lau
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
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-authors
The 11 scholars most cited alongside Stephen Lau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Automated pavement crack detection and segmentation based on two-step convolutional neural network Hit paper breakdown → | 2020 | 286 |
| 2 | Automated Pavement Crack Segmentation Using U-Net-Based Convolutional Neural Network Hit paper breakdown → | 2020 | 207 |
| 3 | 2011 | 36 | |
| 4 | 2022 | 35 | |
| 5 | 2023 | 33 | |
| 6 | 2021 | 25 | |
| 7 | 2023 | 15 | |
| 8 | 2022 | 4 | |
| 9 | Automated Pavement Crack Segmentation Using Fully Convolutional U-Net with a Pretrained ResNet-34 Encoder. | 2020 | 3 |
| 10 | 2023 | 1 |
About Stephen Lau
Stephen Lau is a scholar working on Civil and Structural Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Acoustics and Ultrasonics and Atomic and Molecular Physics, and Optics, having authored 10 papers that have together received 645 indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (5 papers), Asphalt Pavement Performance Evaluation (5 papers), Concrete Corrosion and Durability (3 papers), Optical Coherence Tomography Applications (3 papers), Random lasers and scattering media (2 papers), Image Enhancement Techniques (2 papers), Hearing Impairment and Communication (1 paper) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Civil and Structural Engineering (507 citations), Acoustics and Ultrasonics (9 citations), Ocean Engineering (92 citations), Geology (29 citations) and Industrial and Manufacturing Engineering (43 citations). Stephen Lau has collaborated with scholars based in Malaysia, China and Australia. Frequent co-authors include Xin Wang, Xu Yang, Edwin K. P. Chong, Jingwei Liu, Ling Ding, Sang Luo, Vincent C. S. Lee, Kin Fun Li, Ningqun Guo and Yang Xu. Their work appears in journals such as Results in Engineering, Structural Health Monitoring, Photonic Sensors, Sensors and IEEE Access.
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.