Chia‐Ling Huang

112 total papers · 1.4k total citations
61 papers, 829 citations indexed

About

Chia‐Ling Huang is a scholar working on Safety, Risk, Reliability and Quality, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Chia‐Ling Huang has authored 61 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Safety, Risk, Reliability and Quality, 12 papers in Artificial Intelligence and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Chia‐Ling Huang's work include Reliability and Maintenance Optimization (12 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Software Reliability and Analysis Research (8 papers). Chia‐Ling Huang is often cited by papers focused on Reliability and Maintenance Optimization (12 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Software Reliability and Analysis Research (8 papers). Chia‐Ling Huang collaborates with scholars based in Taiwan, China and United States. Chia‐Ling Huang's co-authors include Wei‐Chang Yeh, Charles DeLisi, Yunzhi Jiang, Zhenjun Hu, Changseok Bae, Peijie Lin, Xianyong Zhang, Yang Liu, Yi-Chien Chang and Feng Tian and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Biophysical Journal.

In The Last Decade

Chia‐Ling Huang

57 papers receiving 811 citations

Author Peers

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

Author						Papers	Cites
Chia‐Ling Huang	197	192	116	114	111	61	829
Junyan Chen	191 1.0×	101 0.5×	41 0.4×	52 0.5×	39 0.4×	73	810
Ta-Cheng Chen	38 0.2×	400 2.1×	249 2.1×	23 0.2×	181 1.6×	52	1.0k
Hadi Akbarzadeh Khorshidi	21 0.1×	158 0.8×	88 0.8×	74 0.6×	115 1.0×	64	984
Jianwen Xiang	81 0.4×	97 0.5×	253 2.2×	71 0.6×	77 0.7×	113	867
Chen Zhang	83 0.4×	185 1.0×	16 0.1×	146 1.3×	50 0.5×	53	993
Olivier Roux	157 0.8×	136 0.7×	198 1.7×	26 0.2×	32 0.3×	94	971
Xi Liu	78 0.4×	39 0.2×	11 0.1×	23 0.2×	45 0.4×	67	719
Haiping Xu	23 0.1×	48 0.3×	53 0.5×	33 0.3×	42 0.4×	91	800
Le Yu	503 2.6×	87 0.5×	23 0.2×	50 0.4×	85 0.8×	56	905
João P. P. Gomes	13 0.1×	95 0.5×	45 0.4×	68 0.6×	57 0.5×	91	819

Countries citing papers authored by Chia‐Ling Huang

Since Specialization

Citations

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

Fields of papers citing papers by Chia‐Ling Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chia‐Ling Huang

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