Ming-Yen Lin

14 papers and 164 indexed citations i.

About

Ming-Yen Lin is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Ming-Yen Lin has authored 14 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 7 papers in Computer Networks and Communications and 6 papers in Artificial Intelligence. Recurrent topics in Ming-Yen Lin’s work include Data Mining Algorithms and Applications (10 papers), Advanced Database Systems and Queries (7 papers) and Rough Sets and Fuzzy Logic (4 papers). Ming-Yen Lin is often cited by papers focused on Data Mining Algorithms and Applications (10 papers), Advanced Database Systems and Queries (7 papers) and Rough Sets and Fuzzy Logic (4 papers). Ming-Yen Lin collaborates with scholars based in Taiwan. Ming-Yen Lin's co-authors include Suh-Yin Lee, Sue-Chen Hsueh, Chia‐Wen Chang, Wen‐Cheng Chao, Ming-Cheng Chan, Chieh‐Liang Wu, Chien‐Yu Chen and Yuan‐Ming Chang and has published in prestigious journals such as Scientific Reports, Information Sciences and Frontiers in Medicine.

In The Last Decade

Co-authorship network of co-authors of Ming-Yen Lin i

Fields of papers citing papers by Ming-Yen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming-Yen Lin

Since Specialization
Citations

This map shows the geographic impact of Ming-Yen Lin'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-Yen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Yen Lin 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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2025