Chung‐Hsien Wu

237 papers and 2.6k indexed citations i.

About

Chung‐Hsien Wu is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Chung‐Hsien Wu has authored 237 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Artificial Intelligence, 82 papers in Signal Processing and 52 papers in Experimental and Cognitive Psychology. Recurrent topics in Chung‐Hsien Wu’s work include Speech Recognition and Synthesis (78 papers), Speech and Audio Processing (72 papers) and Natural Language Processing Techniques (41 papers). Chung‐Hsien Wu is often cited by papers focused on Speech Recognition and Synthesis (78 papers), Speech and Audio Processing (72 papers) and Natural Language Processing Techniques (41 papers). Chung‐Hsien Wu collaborates with scholars based in Taiwan, United States and Japan. Chung‐Hsien Wu's co-authors include Jhing-Fa Wang, Jen‐Chun Lin, Ming-Hsiang Su, Chung‐Hsin Lu, Kun-Yi Huang, Wen-Li Wei, L. H. Ford, Ze-Jing Chuang, Jui‐Feng Yeh and Yu‐Hsien Chiu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Hazardous Materials and Journal of Power Sources.

In The Last Decade

Co-authorship network of co-authors of Chung‐Hsien Wu i

Fields of papers citing papers by Chung‐Hsien Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chung‐Hsien Wu

Since Specialization
Citations

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