Ming‐Chun Hsiao

17 total papers · 869 total citations
16 papers, 668 citations indexed

About

Ming‐Chun Hsiao is a scholar working on Materials Chemistry, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, Ming‐Chun Hsiao has authored 16 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 5 papers in Organic Chemistry and 4 papers in Biomedical Engineering. Recurrent topics in Ming‐Chun Hsiao's work include Carbon Nanotubes in Composites (9 papers), Fullerene Chemistry and Applications (5 papers) and Graphene research and applications (5 papers). Ming‐Chun Hsiao is often cited by papers focused on Carbon Nanotubes in Composites (9 papers), Fullerene Chemistry and Applications (5 papers) and Graphene research and applications (5 papers). Ming‐Chun Hsiao collaborates with scholars based in Taiwan and United States. Ming‐Chun Hsiao's co-authors include Chien Chou, Yuchou Chang, Ying Jiang, L. H. Chan, Yen‐Hsien Lee, Hung‐Chun Liu, Chia‐Fu Chen, An-Yeu Wu, Hua‐Chi Cheng and Ming-Syan Chen⋆ and has published in prestigious journals such as Applied Physics Letters, Computers & Education and Finance research letters.

In The Last Decade

Ming‐Chun Hsiao

16 papers receiving 584 citations

Hit Papers

Internet addiction, usage... 2000 2026 2008 2017 2000 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Ming‐Chun Hsiao 475 281 139 84 78 16 668
Jichao Jia 338 0.7× 244 0.9× 83 0.6× 156 1.9× 14 0.2× 26 561
Xiuqin Huang 608 1.3× 429 1.5× 156 1.1× 172 2.0× 12 0.2× 8 761
Ruoyun Lin 382 0.8× 35 0.1× 100 0.7× 38 0.5× 14 0.2× 25 693
Jason M. Stephens 92 0.2× 338 1.2× 28 0.2× 65 0.8× 22 0.3× 29 777
Jordyn Young 402 0.8× 143 0.5× 103 0.7× 152 1.8× 4 0.1× 9 593
John K. Kennedy 151 0.3× 33 0.1× 33 0.2× 52 0.6× 56 0.7× 26 685
Özlem Çakır 437 0.9× 394 1.4× 53 0.4× 84 1.0× 2 0.0× 44 668
Eunji Lee 419 0.9× 87 0.3× 122 0.9× 84 1.0× 4 0.1× 26 634
Zheng Xue 178 0.4× 94 0.3× 121 0.9× 157 1.9× 14 0.2× 26 555
Carolyn D. Baker 133 0.3× 173 0.6× 21 0.2× 21 0.3× 28 0.4× 35 578

Countries citing papers authored by Ming‐Chun Hsiao

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chun Hsiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Chun Hsiao

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