Ming-Hsien Tsai

54 total papers · 872 total citations
26 papers, 348 citations indexed

About

Ming-Hsien Tsai is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Ming-Hsien Tsai has authored 26 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 5 papers in Information Systems. Recurrent topics in Ming-Hsien Tsai's work include Logic, programming, and type systems (8 papers), Formal Methods in Verification (8 papers) and Cryptographic Implementations and Security (5 papers). Ming-Hsien Tsai is often cited by papers focused on Logic, programming, and type systems (8 papers), Formal Methods in Verification (8 papers) and Cryptographic Implementations and Security (5 papers). Ming-Hsien Tsai collaborates with scholars based in Taiwan, China and United States. Ming-Hsien Tsai's co-authors include Ming‐Jium Shieh, Cheng‐Liang Peng, Shin‐Yu Lee, Ying‐Hsia Shih, Bow-Yaw Wang, Tsai‐Yueh Luo, Ming‐Feng Wei, Yih-Kuen Tsay, Bo‐Yin Yang and Peter Lee and has published in prestigious journals such as ACS Applied Materials & Interfaces, European Journal of Cancer and RSC Advances.

In The Last Decade

Ming-Hsien Tsai

22 papers receiving 340 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-Hsien Tsai 104 97 74 72 67 26 348
Nóra Szász 23 0.2× 65 0.7× 119 1.6× 79 1.1× 12 0.2× 29 403
Kazuya Kobayashi 16 0.2× 21 0.2× 48 0.6× 56 0.8× 64 1.0× 26 360
Caiqi Liu 34 0.3× 48 0.5× 33 0.4× 119 1.7× 8 0.1× 18 391
Si Chen 84 0.8× 38 0.4× 43 0.6× 39 0.5× 33 0.5× 36 365
Zhaoshan Liu 36 0.3× 54 0.6× 61 0.8× 171 2.4× 22 0.3× 19 378
Rahaba Marima 80 0.8× 71 0.7× 40 0.5× 134 1.9× 8 0.1× 23 388
MARUYAMA MARUYAMA 11 0.1× 14 0.1× 41 0.6× 36 0.5× 49 0.7× 29 370
Ming Sun 46 0.4× 25 0.3× 59 0.8× 123 1.7× 29 0.4× 18 301
Aiping Zheng 39 0.4× 42 0.4× 72 1.0× 68 0.9× 57 0.9× 31 385
Chia‐Lun Wu 45 0.4× 12 0.1× 21 0.3× 183 2.5× 19 0.3× 24 377

Countries citing papers authored by Ming-Hsien Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Hsien Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Hsien Tsai. 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-Hsien Tsai. The network helps show where Ming-Hsien Tsai may publish in the future.

Co-authorship network of co-authors of Ming-Hsien Tsai

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