Yuan-Ching Lin

52 total papers · 1.1k total citations
44 papers, 977 citations indexed

About

Yuan-Ching Lin is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Yuan-Ching Lin has authored 44 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Mechanical Engineering, 22 papers in Materials Chemistry and 20 papers in Mechanics of Materials. Recurrent topics in Yuan-Ching Lin's work include Advanced materials and composites (15 papers), Metal and Thin Film Mechanics (14 papers) and Metal Alloys Wear and Properties (12 papers). Yuan-Ching Lin is often cited by papers focused on Advanced materials and composites (15 papers), Metal and Thin Film Mechanics (14 papers) and Metal Alloys Wear and Properties (12 papers). Yuan-Ching Lin collaborates with scholars based in Taiwan and United States. Yuan-Ching Lin's co-authors include H. So, Yu-Chi Lin, Chyuan Haur Kao, Roberts A. Smith, Yao-Yang Tsai, Richard M. Halpern, Chun-Ming Lin, Hsien-Lung Tsai, Yuyu Liu and Shiwei Wang and has published in prestigious journals such as Biochemistry, Materials Science and Engineering A and Journal of Materials Processing Technology.

In The Last Decade

Yuan-Ching Lin

44 papers receiving 924 citations

Author Peers

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

Author Last Decade Papers Cites
Yuan-Ching Lin 770 384 343 149 80 44 977
Yuan Tian 539 0.7× 77 0.2× 487 1.4× 146 1.0× 89 1.1× 37 902
P. Gopalakrishnan 458 0.6× 252 0.7× 430 1.3× 67 0.4× 52 0.7× 44 905
Alan Xu 330 0.4× 186 0.5× 590 1.7× 94 0.6× 197 2.5× 40 905
Gaurav Mohanty 568 0.7× 269 0.7× 538 1.6× 77 0.5× 137 1.7× 69 1.0k
Fangfang Ge 342 0.4× 387 1.0× 783 2.3× 263 1.8× 96 1.2× 88 1.2k
Franz Müller 910 1.2× 113 0.3× 209 0.6× 712 4.8× 70 0.9× 35 1.2k
Ying Chen 331 0.4× 145 0.4× 610 1.8× 82 0.6× 67 0.8× 30 844
Haiyang Fan 653 0.8× 173 0.5× 430 1.3× 110 0.7× 136 1.7× 52 1.0k
Nobuhiro Ueda 470 0.6× 640 1.7× 616 1.8× 161 1.1× 33 0.4× 32 915
Peng Yuan 269 0.3× 184 0.5× 524 1.5× 33 0.2× 168 2.1× 39 994

Countries citing papers authored by Yuan-Ching Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yuan-Ching Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan-Ching Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan-Ching Lin. A scholar is included among the top collaborators of Yuan-Ching 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 Yuan-Ching Lin. Yuan-Ching 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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2026