Sin‐Chi Kuok

1.6k total citations
45 papers, 1.3k citations indexed

About

Sin‐Chi Kuok is a scholar working on Civil and Structural Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Sin‐Chi Kuok has authored 45 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Civil and Structural Engineering, 7 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in Sin‐Chi Kuok's work include Structural Health Monitoring Techniques (31 papers), Infrastructure Maintenance and Monitoring (16 papers) and Concrete Corrosion and Durability (8 papers). Sin‐Chi Kuok is often cited by papers focused on Structural Health Monitoring Techniques (31 papers), Infrastructure Maintenance and Monitoring (16 papers) and Concrete Corrosion and Durability (8 papers). Sin‐Chi Kuok collaborates with scholars based in Macao, China and United Kingdom. Sin‐Chi Kuok's co-authors include Ka‐Veng Yuen, Tianyu Wang, Ramin Ghiasi, Wael A. Altabey, Mohammad Noori, Pengfei Liang, He‐Qing Mu, Zhishen Wu, Ahmed Silik and Huile Li and has published in prestigious journals such as Water Research, Computer Methods in Applied Mechanics and Engineering and Sensors.

In The Last Decade

Sin‐Chi Kuok

43 papers receiving 1.2k citations

Peers

Sin‐Chi Kuok

CSE

SPU

CSE

Rodrigo Astroza Chile

Hamed Ebrahimian United States

Eliz‐Mari Lourens Netherlands

Letícia Fleck Fadel Miguel Brazil

Jianxiao Mao China

Hua‐Ping Wan China

Eysa Salajegheh Iran

Rosario Ceravolo Italy

Frank McKenna United States

Dionisio Bernal United States

Rodrigo Astroza Chile

Sin‐Chi Kuok

1.5k ×1.4

CSE

310 ×1.5

SPU

273 ×1.4

CSE

226 ×1.2

125 ×0.7

Citations per year, relative to Sin‐Chi Kuok Sin‐Chi Kuok (= 1×) peers Rodrigo Astroza

Countries citing papers authored by Sin‐Chi Kuok

Since Specialization

Citations

This map shows the geographic impact of Sin‐Chi Kuok'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 Sin‐Chi Kuok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sin‐Chi Kuok more than expected).

Fields of papers citing papers by Sin‐Chi Kuok

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sin‐Chi Kuok. 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 Sin‐Chi Kuok. The network helps show where Sin‐Chi Kuok may publish in the future.

Co-authorship network of co-authors of Sin‐Chi Kuok

This figure shows the co-authorship network connecting the top 25 collaborators of Sin‐Chi Kuok. A scholar is included among the top collaborators of Sin‐Chi Kuok 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 Sin‐Chi Kuok. Sin‐Chi Kuok is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kuok, Sin‐Chi, S. Yao, Ka‐Veng Yuen, Wang‐Ji Yan, & Mark Girolami. (2025). Bayesian generative kernel Gaussian process regression. Mechanical Systems and Signal Processing. 227. 112395–112395. 4 indexed citations

Zhu, Hao, Lejun Wang, Sin‐Chi Kuok, et al.. (2025). VGPNet: A Vision-Aided GNSS Positioning Framework With Cross-Channel Feature Fusion for Urban Canyons. IEEE Transactions on Instrumentation and Measurement. 74. 1–13.

Tang, Xianlun, et al.. (2025). Feature Fusion and Enhancement for Lightweight Visible-Thermal Infrared Tracking via Multiple Adapters. IEEE Transactions on Circuits and Systems for Video Technology. 36(1). 959–970. 1 indexed citations

Kuok, Sin‐Chi, S. Yao, Ka‐Veng Yuen, Zhenghao Ding, & Yuanfeng Duan. (2025). Gaussian Process with Bayesian Kernel Selection for Seismic Attenuation Modeling. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering. 11(4).

Kuok, Sin‐Chi, et al.. (2024). Machine learning revealing overlooked conjunction of working volume and mixing intensity in anammox optimization. Water Research. 266. 122344–122344. 2 indexed citations

Li, Long Tu, Jun Xu, & Sin‐Chi Kuok. (2024). Bayesian sparse grid (BSG) approach for information salvage in reliability assessment of deteriorating structures. Reliability Engineering & System Safety. 251. 110329–110329. 5 indexed citations

Kuok, Sin‐Chi, Ka‐Veng Yuen, Tim Dodwell, & Mark Girolami. (2024). Generative broad Bayesian (GBB) imputer for missing data imputation with uncertainty quantification. Knowledge-Based Systems. 301. 112272–112272. 6 indexed citations

Ding, Zhenghao, Sin‐Chi Kuok, Yongzhi Lei, et al.. (2024). A Novel Bayesian Empowered Piecewise Multi-Objective Sparse Evolution for Structural Condition Assessment. International Journal of Structural Stability and Dynamics. 25(10). 4 indexed citations

Wang, Jing, et al.. (2024). A Novel Method for Integrity Assessment of Soil-Nailing Works with Actively Heated Fiber-Optic Sensors. Journal of Geotechnical and Geoenvironmental Engineering. 150(8). 31 indexed citations

10.

Ding, Zhenghao, Sin‐Chi Kuok, Yongzhi Lei, et al.. (2024). Clustering driven incremental learning surrogate model-assisted evolution for structural condition assessment. Mechanical Systems and Signal Processing. 224. 112146–112146. 7 indexed citations

11.

Kuok, Sin‐Chi, et al.. (2023). Efficient Bayesian model updating for settlement prediction of the immersed tunnel of HZMB. Transportation Geotechnics. 44. 101179–101179. 11 indexed citations

12.

Wang, Tianyu, Huile Li, Mohammad Noori, et al.. (2023). Seismic response prediction of structures based on Runge-Kutta recurrent neural network with prior knowledge. Engineering Structures. 279. 115576–115576. 34 indexed citations

13.

Altabey, Wael A., Mohammad Noori, Tianyu Wang, et al.. (2021). Deep Learning-Based Crack Identification for Steel Pipelines by Extracting Features from 3D Shadow Modeling. Applied Sciences. 11(13). 6063–6063. 29 indexed citations

14.

Kuok, Sin‐Chi, Ka‐Veng Yuen, Mark Girolami, & Stephen Roberts. (2021). Broad learning robust semi-active structural control: A nonparametric approach. Mechanical Systems and Signal Processing. 162. 108012–108012. 8 indexed citations

15.

Yuen, Ka‐Veng, et al.. (2021). Robust sensor placement for structural identification. Structural Control and Health Monitoring. 29(1). 7 indexed citations

16.

Kuok, Sin‐Chi & Ka‐Veng Yuen. (2016). Investigation of modal identification and modal identifiability of a cable-stayed bridge with Bayesian framework. Smart Structures and Systems. 17(3). 445–470. 36 indexed citations

17.

Yuen, Ka‐Veng & Sin‐Chi Kuok. (2015). Online updating and uncertainty quantification using nonstationary output-only measurement. Mechanical Systems and Signal Processing. 66-67. 62–77. 83 indexed citations

18.

Kuok, Sin‐Chi & Ka‐Veng Yuen. (2013). Structural Health Monitoring of a Reinforced Concrete Building during the Severe Typhoon Vicente in 2012. The Scientific World JOURNAL. 2013(1). 509350–509350. 15 indexed citations

19.

Yuen, Ka‐Veng & Sin‐Chi Kuok. (2011). Bayesian Methods for Updating Dynamic Models. Applied Mechanics Reviews. 64(1). 151 indexed citations

20.

Yuen, Ka‐Veng & Sin‐Chi Kuok. (2010). Modeling of environmental influence in structural health assessment for reinforced concrete buildings. Earthquake Engineering and Engineering Vibration. 9(2). 295–306. 40 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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