Shu‐Kai Hsieh

21 papers and 63 indexed citations i.

About

Shu‐Kai Hsieh is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Shu‐Kai Hsieh has authored 21 papers receiving a total of 63 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Shu‐Kai Hsieh’s work include Natural Language Processing Techniques (12 papers), Topic Modeling (10 papers) and Sentiment Analysis and Opinion Mining (6 papers). Shu‐Kai Hsieh is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (10 papers) and Sentiment Analysis and Opinion Mining (6 papers). Shu‐Kai Hsieh collaborates with scholars based in Taiwan, United States and Hong Kong. Shu‐Kai Hsieh's co-authors include Chu‐Ren Huang, Andrea Marchetti, Louise Sundararajan, Nicoletta Calzolari, Monica Monachini, Seong‐Hyeon Kim, Christiane Fellbaum, Yingyu Chen, Kyoko Kanzaki and Germán Rigau and has published in prestigious journals such as Frontiers in Psychology, Language Resources and Evaluation and The Humanistic Psychologist.

In The Last Decade

Co-authorship network of co-authors of Shu‐Kai Hsieh i

Fields of papers citing papers by Shu‐Kai Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐Kai Hsieh. 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 Shu‐Kai Hsieh. The network helps show where Shu‐Kai Hsieh may publish in the future.

Countries citing papers authored by Shu‐Kai Hsieh

Since Specialization
Citations

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