Sin‐Chi Kuok

58 total papers · 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 Statistics, Probability and Uncertainty. 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 7 papers in Statistics, Probability and Uncertainty. 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, Ramin Ghiasi, Tianyu Wang, Mohammad Noori, Wael A. Altabey, Pengfei Liang, He‐Qing Mu, Zhishen Wu, Huile Li and Ahmed Silik 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sin‐Chi Kuok	990	208	191	187	176	45	1.3k
Masaru HOSHIYA	820 0.8×	216 1.0×	196 1.0×	162 0.9×	126 0.7×	91	1.1k
Hamed Ebrahimian	1.0k 1.0×	219 1.1×	211 1.1×	167 0.9×	98 0.6×	59	1.3k
Eliz‐Mari Lourens	859 0.9×	217 1.0×	305 1.6×	307 1.6×	182 1.0×	34	1.1k
Rodrigo Astroza	1.4k 1.4×	300 1.4×	268 1.4×	211 1.1×	125 0.7×	77	1.7k
Ruiyang Zhang	991 1.0×	121 0.6×	154 0.8×	303 1.6×	83 0.5×	38	1.5k
Letícia Fleck Fadel Miguel	1.0k 1.0×	103 0.5×	143 0.7×	181 1.0×	241 1.4×	73	1.3k
Kristof Maes	1.0k 1.1×	209 1.0×	279 1.5×	265 1.4×	216 1.2×	43	1.2k
Jianxiao Mao	1.1k 1.2×	97 0.5×	166 0.9×	266 1.4×	159 0.9×	62	1.6k
Jyrki Kullaa	1.2k 1.2×	134 0.6×	183 1.0×	206 1.1×	366 2.1×	39	1.3k
Eysa Salajegheh	1.3k 1.3×	224 1.1×	127 0.7×	131 0.7×	333 1.9×	90	1.7k

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

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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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