Ming‐Yuan Lin

56 total papers · 1.1k total citations
35 papers, 892 citations indexed

About

Ming‐Yuan Lin is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Energy Engineering and Power Technology. According to data from OpenAlex, Ming‐Yuan Lin has authored 35 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 11 papers in Materials Chemistry and 8 papers in Energy Engineering and Power Technology. Recurrent topics in Ming‐Yuan Lin's work include Hybrid Renewable Energy Systems (8 papers), Advanced machining processes and optimization (4 papers) and Thermal Radiation and Cooling Technologies (4 papers). Ming‐Yuan Lin is often cited by papers focused on Hybrid Renewable Energy Systems (8 papers), Advanced machining processes and optimization (4 papers) and Thermal Radiation and Cooling Technologies (4 papers). Ming‐Yuan Lin collaborates with scholars based in Taiwan, China and Germany. Ming‐Yuan Lin's co-authors include Lih‐Wu Hourng, Magnus Rueping, Uxue Uria, Iuliana Atodiresei, Zhiwen Fan, Hsin‐Yi Liao, Swarup Datta, Carlos Vila, Sabyasachi Bhunia and Rai‐Shung Liu and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Communications and ACS Applied Materials & Interfaces.

In The Last Decade

Ming‐Yuan Lin

32 papers receiving 871 citations

Author Peers

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

Author Last Decade Papers Cites
Ming‐Yuan Lin 420 208 193 134 134 35 892
N. Szesni 424 1.0× 87 0.4× 347 1.8× 104 0.8× 84 0.6× 43 949
W. T. Grubb 242 0.6× 301 1.4× 393 2.0× 65 0.5× 167 1.2× 32 891
Tung T. Nguyen 446 1.1× 137 0.7× 366 1.9× 155 1.2× 81 0.6× 29 912
Zhiyao Lü 332 0.8× 58 0.3× 207 1.1× 34 0.3× 136 1.0× 31 821
Chenxi Lu 326 0.8× 155 0.7× 230 1.2× 14 0.1× 78 0.6× 31 956
Byeongno Lee 328 0.8× 212 1.0× 213 1.1× 15 0.1× 63 0.5× 33 792
Yangbin Shen 79 0.2× 321 1.5× 386 2.0× 48 0.4× 418 3.1× 43 959
Qiang Li 126 0.3× 136 0.7× 523 2.7× 41 0.3× 303 2.3× 42 890
Anthony Garron 227 0.5× 74 0.4× 488 2.5× 97 0.7× 128 1.0× 26 780
Yuzhen Ge 209 0.5× 138 0.7× 771 4.0× 65 0.5× 423 3.2× 29 1.0k

Countries citing papers authored by Ming‐Yuan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Yuan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Yuan Lin

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