Kuo‐Wei Liao

78 total papers · 861 total citations
52 papers, 681 citations indexed

About

Kuo‐Wei Liao is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Computational Theory and Mathematics. According to data from OpenAlex, Kuo‐Wei Liao has authored 52 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Civil and Structural Engineering, 16 papers in Statistics, Probability and Uncertainty and 9 papers in Computational Theory and Mathematics. Recurrent topics in Kuo‐Wei Liao's work include Probabilistic and Robust Engineering Design (15 papers), Structural Health Monitoring Techniques (10 papers) and Advanced Multi-Objective Optimization Algorithms (9 papers). Kuo‐Wei Liao is often cited by papers focused on Probabilistic and Robust Engineering Design (15 papers), Structural Health Monitoring Techniques (10 papers) and Advanced Multi-Objective Optimization Algorithms (9 papers). Kuo‐Wei Liao collaborates with scholars based in Taiwan, United States and Vietnam. Kuo‐Wei Liao's co-authors include Nhat‐Duc Hoang, Yi-Ting Lee, Chun-Tao Chen, J. C. Fan, Chien‐Lin Huang, Dieu Tien Bui, Yi‐Kwei Wen, Douglas A. Foutch, Christopher Ha and Shu‐Hsun Chu and has published in prestigious journals such as The Science of The Total Environment, Construction and Building Materials and Annals of Oncology.

In The Last Decade

Kuo‐Wei Liao

51 papers receiving 658 citations

Author Peers

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

Author						Papers	Cites
Kuo‐Wei Liao	402	87	80	70	54	52	681
Naser Shabakhty	459 1.1×	72 0.8×	116 1.4×	52 0.7×	13 0.2×	55	708
Xiaohui Tan	486 1.2×	95 1.1×	66 0.8×	92 1.3×	10 0.2×	58	699
Arash Noshadravan	248 0.6×	72 0.8×	80 1.0×	211 3.0×	12 0.2×	39	665
Yangyang Chen	308 0.8×	59 0.7×	88 1.1×	60 0.9×	12 0.2×	29	589
Yang Yang	424 1.1×	17 0.2×	52 0.7×	72 1.0×	19 0.4×	53	678
Zhixiang Yu	195 0.5×	51 0.6×	53 0.7×	164 2.3×	36 0.7×	44	783
André Orcesi	666 1.7×	106 1.2×	79 1.0×	43 0.6×	11 0.2×	51	759
O. Arda Vanli	150 0.4×	95 1.1×	64 0.8×	107 1.5×	5 0.1×	52	679
Irina Stipanović	395 1.0×	37 0.4×	117 1.5×	47 0.7×	11 0.2×	64	705
Zhifeng Wu	152 0.4×	46 0.5×	44 0.6×	34 0.5×	70 1.3×	102	665

Countries citing papers authored by Kuo‐Wei Liao

Since Specialization

Citations

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

Fields of papers citing papers by Kuo‐Wei Liao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo‐Wei Liao. 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 Kuo‐Wei Liao. The network helps show where Kuo‐Wei Liao may publish in the future.

Co-authorship network of co-authors of Kuo‐Wei Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo‐Wei Liao. A scholar is included among the top collaborators of Kuo‐Wei Liao 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 Kuo‐Wei Liao. Kuo‐Wei Liao 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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