Chia-Hsiang Lin

130 total papers · 2.1k total citations
87 papers, 1.5k citations indexed

About

Chia-Hsiang Lin is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Chia-Hsiang Lin has authored 87 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Media Technology, 20 papers in Computer Vision and Pattern Recognition and 19 papers in Computational Mechanics. Recurrent topics in Chia-Hsiang Lin's work include Remote-Sensing Image Classification (40 papers), Advanced Image Fusion Techniques (33 papers) and Sparse and Compressive Sensing Techniques (16 papers). Chia-Hsiang Lin is often cited by papers focused on Remote-Sensing Image Classification (40 papers), Advanced Image Fusion Techniques (33 papers) and Sparse and Compressive Sensing Techniques (16 papers). Chia-Hsiang Lin collaborates with scholars based in Taiwan, Portugal and United States. Chia-Hsiang Lin's co-authors include Chong‐Yung Chi, Tsung-Che Chiang, Ke‐Horng Chen, José M. Bioucas‐Dias, Chun‐Yu Hsieh, Hong-Wei Huang, Wing‐Kin Ma, Mário A. T. Figueiredo, Lina Zhuang and ArulMurugan Ambikapathi and has published in prestigious journals such as Nature Communications, Nano Letters and Bioinformatics.

In The Last Decade

Chia-Hsiang Lin

84 papers receiving 1.5k citations

Author Peers

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

Author						Papers	Cites
Chia-Hsiang Lin	686	465	355	205	175	87	1.5k
J.G. Walker	201 0.3×	186 0.4×	335 0.9×	90 0.4×	449 2.6×	78	1.5k
Stanley H. Chan	572 0.8×	184 0.4×	1.0k 2.9×	255 1.2×	290 1.7×	95	1.7k
Yuan Yuan	453 0.7×	336 0.7×	931 2.6×	61 0.3×	51 0.3×	56	1.5k
Xiangjun Wang	134 0.2×	406 0.9×	448 1.3×	118 0.6×	179 1.0×	174	1.4k
Xiaodong Mu	213 0.3×	496 1.1×	181 0.5×	23 0.1×	97 0.6×	153	1.4k
Giuseppe Schirripa Spagnolo	170 0.2×	422 0.9×	562 1.6×	257 1.3×	297 1.7×	168	1.7k
Mark Yeary	131 0.2×	800 1.7×	102 0.3×	90 0.4×	93 0.5×	153	1.8k
Abderrahim Halimi	566 0.8×	159 0.3×	210 0.6×	47 0.2×	255 1.5×	62	1.8k
Hu Zhu	491 0.7×	531 1.1×	662 1.9×	45 0.2×	125 0.7×	83	1.8k
Jiaji Wu	195 0.3×	401 0.9×	565 1.6×	115 0.6×	143 0.8×	156	1.6k

Countries citing papers authored by Chia-Hsiang Lin

Since Specialization

Citations

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

Fields of papers citing papers by Chia-Hsiang Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Hsiang 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 Chia-Hsiang Lin. The network helps show where Chia-Hsiang Lin may publish in the future.

Co-authorship network of co-authors of Chia-Hsiang Lin

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