Jimmy Ming‐Tai Wu

75 papers and 969 indexed citations i.

About

Jimmy Ming‐Tai Wu is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jimmy Ming‐Tai Wu has authored 75 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Information Systems, 30 papers in Artificial Intelligence and 27 papers in Signal Processing. Recurrent topics in Jimmy Ming‐Tai Wu’s work include Data Mining Algorithms and Applications (39 papers), Data Management and Algorithms (23 papers) and Rough Sets and Fuzzy Logic (23 papers). Jimmy Ming‐Tai Wu is often cited by papers focused on Data Mining Algorithms and Applications (39 papers), Data Management and Algorithms (23 papers) and Rough Sets and Fuzzy Logic (23 papers). Jimmy Ming‐Tai Wu collaborates with scholars based in China, Norway and Taiwan. Jimmy Ming‐Tai Wu's co-authors include Jerry Chun‐Wei Lin, Gautam Srivastava, Justin Zhan, Zhongcui Li, Philippe Fournier‐Viger, Bay Vo, Norbert Herencsár, Justin Zhan, Chien‐Ming Chen and Giancarlo Fortino and has published in prestigious journals such as PLoS ONE, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Jimmy Ming‐Tai Wu i

Fields of papers citing papers by Jimmy Ming‐Tai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jimmy Ming‐Tai Wu

Since Specialization
Citations

This map shows the geographic impact of Jimmy Ming‐Tai Wu'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 Jimmy Ming‐Tai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jimmy Ming‐Tai Wu 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