Ching-Seh Wu

About

Ching-Seh Wu is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Ching-Seh Wu has authored 2 papers receiving a total of 6 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems, 1 paper in Artificial Intelligence and 1 paper in Management Science and Operations Research. Recurrent topics in Ching-Seh Wu’s work include Business Process Modeling and Analysis (1 paper), Data Quality and Management (1 paper) and Data Mining Algorithms and Applications (1 paper). Ching-Seh Wu is often cited by papers focused on Business Process Modeling and Analysis (1 paper), Data Quality and Management (1 paper) and Data Mining Algorithms and Applications (1 paper). Ching-Seh Wu collaborates with scholars based in United States. Ching-Seh Wu's co-authors include and and has published in prestigious journals such as INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences and IEEE Transactions on Information Technology in Biomedicine.

In The Last Decade

No nodes

Fields of papers citing papers by Ching-Seh Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Seh 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 Ching-Seh Wu. The network helps show where Ching-Seh Wu may publish in the future.

Countries citing papers authored by Ching-Seh Wu

Since Specialization

Citations

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