Ming‐Hui Wen

About

Ming‐Hui Wen is a scholar working on Sociology and Political Science, Finance and Management Science and Operations Research. According to data from OpenAlex, Ming‐Hui Wen has authored 11 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Sociology and Political Science, 3 papers in Finance and 2 papers in Management Science and Operations Research. Recurrent topics in Ming‐Hui Wen’s work include Financial Markets and Investment Strategies (3 papers), Digital Marketing and Social Media (2 papers) and Technology Adoption and User Behaviour (2 papers). Ming‐Hui Wen is often cited by papers focused on Financial Markets and Investment Strategies (3 papers), Digital Marketing and Social Media (2 papers) and Technology Adoption and User Behaviour (2 papers). Ming‐Hui Wen collaborates with scholars based in Taiwan, United States and China. Ming‐Hui Wen's co-authors include Yung‐Ching Liu, Jon‐Chao Hong, Mochen Yang, Ping‐Kuo Chen, Yong Ye and Yuan Lin and has published in prestigious journals such as IEEE Access, Production and Operations Management and Resources Policy.

In The Last Decade

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

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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.

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).

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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