Ming‐Hsuan Yu

26 total papers · 489 total citations
22 papers, 393 citations indexed

About

Ming‐Hsuan Yu is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Materials Chemistry. According to data from OpenAlex, Ming‐Hsuan Yu has authored 22 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 18 papers in Polymers and Plastics and 6 papers in Materials Chemistry. Recurrent topics in Ming‐Hsuan Yu's work include Perovskite Materials and Applications (18 papers), Conducting polymers and applications (17 papers) and Organic Electronics and Photovoltaics (8 papers). Ming‐Hsuan Yu is often cited by papers focused on Perovskite Materials and Applications (18 papers), Conducting polymers and applications (17 papers) and Organic Electronics and Photovoltaics (8 papers). Ming‐Hsuan Yu collaborates with scholars based in Taiwan, China and Hong Kong. Ming‐Hsuan Yu's co-authors include Chu‐Chen Chueh, Chia‐Chen Lee, Zonglong Zhu, Johann Lüder, Mohamed Gamal Mohamed, Shiao‐Wei Kuo, Zhen Li, Ahmed F. M. EL‐Mahdy, I‐Chih Ni and Bi‐Hsuan Lin and has published in prestigious journals such as ACS Nano, Advanced Functional Materials and Chemical Engineering Journal.

In The Last Decade

Ming‐Hsuan Yu

18 papers receiving 391 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‐Hsuan Yu 286 201 186 64 43 22 393
Dominic Blätte 262 0.9× 206 1.0× 184 1.0× 75 1.2× 62 1.4× 14 396
Venkatesh Piradi 258 0.9× 196 1.0× 167 0.9× 37 0.6× 49 1.1× 16 356
Do Hyung Chun 300 1.0× 242 1.2× 109 0.6× 57 0.9× 112 2.6× 13 402
Dan Liu 241 0.8× 108 0.5× 116 0.6× 41 0.6× 15 0.3× 20 360
Nam Hoang Vu 203 0.7× 201 1.0× 76 0.4× 45 0.7× 157 3.7× 26 389
Valentino Longo 324 1.1× 264 1.3× 69 0.4× 16 0.3× 46 1.1× 20 402
Sri Narayan 258 0.9× 61 0.3× 95 0.5× 36 0.6× 67 1.6× 21 340
Jung‐Hoon Yu 190 0.7× 140 0.7× 203 1.1× 15 0.2× 106 2.5× 22 352
Yaqi Bao 264 0.9× 187 0.9× 131 0.7× 9 0.1× 50 1.2× 18 337
Li Guo 105 0.4× 181 0.9× 101 0.5× 56 0.9× 37 0.9× 20 350

Countries citing papers authored by Ming‐Hsuan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Hsuan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Hsuan Yu

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