Yong‐Huang Lin

27 total papers · 1.2k total citations
23 papers, 1000 citations indexed

About

Yong‐Huang Lin is a scholar working on Management Science and Operations Research, Civil and Structural Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Yong‐Huang Lin has authored 23 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Science and Operations Research, 4 papers in Civil and Structural Engineering and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Yong‐Huang Lin's work include Grey System Theory Applications (7 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Hydrological Forecasting Using AI (3 papers). Yong‐Huang Lin is often cited by papers focused on Grey System Theory Applications (7 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Hydrological Forecasting Using AI (3 papers). Yong‐Huang Lin collaborates with scholars based in Taiwan. Yong‐Huang Lin's co-authors include Pin‐Chan Lee, Ta‐Peng Chang, Hsing‐Chih Tsai, Ching-Yun Chang, Li‐Chiu Chang, Fi‐John Chang, Shyi‐Ming Chen, Yong-Jun Lin and Shih‐Chung Kang and has published in prestigious journals such as Cement and Concrete Research, Expert Systems with Applications and Automation in Construction.

In The Last Decade

Yong‐Huang Lin

23 papers receiving 938 citations

Author Peers

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

Author						Papers	Cites
Yong‐Huang Lin	373	200	188	146	142	23	1000
Xian‐Jia Wang	457 1.2×	142 0.7×	155 0.8×	308 2.1×	127 0.9×	34	1.2k
Tayfun Dede	130 0.3×	499 2.5×	222 1.2×	211 1.4×	62 0.4×	55	1.0k
Pin‐Chan Lee	434 1.2×	123 0.6×	64 0.3×	188 1.3×	57 0.4×	25	824
Lingwenying Li	506 1.4×	60 0.3×	108 0.6×	156 1.1×	66 0.5×	15	1.1k
Kejun Zhu	342 0.9×	44 0.2×	148 0.8×	104 0.7×	54 0.4×	42	1.1k
Siniša Sremac	634 1.7×	95 0.5×	101 0.5×	122 0.8×	40 0.3×	35	1.2k
Daniela Fuchs-Hanusch	270 0.7×	357 1.8×	58 0.3×	57 0.4×	160 1.1×	53	1.1k
Bénédicte Le Grand	102 0.3×	68 0.3×	185 1.0×	75 0.5×	97 0.7×	22	1.1k
Alexandre G. Evsukoff	210 0.6×	53 0.3×	286 1.5×	106 0.7×	68 0.5×	66	1.2k
Minh-Tu Cao	131 0.4×	515 2.6×	108 0.6×	283 1.9×	133 0.9×	33	1.0k

Countries citing papers authored by Yong‐Huang Lin

Since Specialization

Citations

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

Fields of papers citing papers by Yong‐Huang Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong‐Huang Lin. 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 Yong‐Huang Lin. The network helps show where Yong‐Huang Lin may publish in the future.

Co-authorship network of co-authors of Yong‐Huang Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Huang Lin. A scholar is included among the top collaborators of Yong‐Huang Lin 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 Yong‐Huang Lin. Yong‐Huang Lin 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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