Ming-Hui Wen

13 total papers · 914 total citations
12 papers, 621 citations indexed

About

Ming-Hui Wen is a scholar working on Sociology and Political Science, Computer Vision and Pattern Recognition and Information Systems and Management. According to data from OpenAlex, Ming-Hui Wen has authored 12 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems and Management. Recurrent topics in Ming-Hui Wen's work include Technology Adoption and User Behaviour (3 papers), Impact of Technology on Adolescents (2 papers) and Digital Games and Media (2 papers). Ming-Hui Wen is often cited by papers focused on Technology Adoption and User Behaviour (3 papers), Impact of Technology on Adolescents (2 papers) and Digital Games and Media (2 papers). Ming-Hui Wen collaborates with scholars based in Taiwan, United States and Australia. Ming-Hui Wen's co-authors include Nicholas Yee, Greg Wadley, Nicolas Ducheneaut, Muh-Cherng Wu, Shang Hwa Hsu, John K. Zao, Shang-Hwa Hsu, Shih-Chen Fan, Ming‐Chuen Chuang and Kuan‐Ta Chen and has published in prestigious journals such as Expert Systems with Applications, Computers & Education and EURASIP Journal on Wireless Communications and Networking.

In The Last Decade

Ming-Hui Wen

11 papers receiving 578 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-Hui Wen 355 172 107 93 87 12 621
Emily Collins 318 0.9× 110 0.6× 89 0.8× 44 0.5× 38 0.4× 27 595
Felix Reer 487 1.4× 74 0.4× 108 1.0× 50 0.5× 87 1.0× 25 650
Victoria Schwanda Sosik 404 1.1× 298 1.7× 63 0.6× 64 0.7× 45 0.5× 13 791
Jesper Aagaard 364 1.0× 99 0.6× 236 2.2× 56 0.6× 36 0.4× 28 718
Anna Carolina Muller Queiroz 154 0.4× 244 1.4× 84 0.8× 64 0.7× 34 0.4× 27 694
Peter Ohler 199 0.6× 88 0.5× 78 0.7× 51 0.5× 82 0.9× 42 601
Helen J. Wall 188 0.5× 293 1.7× 53 0.5× 60 0.6× 68 0.8× 22 591
Qiyu Bai 275 0.8× 220 1.3× 104 1.0× 19 0.2× 37 0.4× 13 642
Rúben Gouveia 277 0.8× 359 2.1× 71 0.7× 45 0.5× 22 0.3× 27 778
Kelly Merrill 223 0.6× 62 0.4× 56 0.5× 49 0.5× 87 1.0× 24 660

Countries citing papers authored by Ming-Hui Wen

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Hui Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Hui Wen

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