Shih-Hung Wu

126 total papers · 1.3k total citations
35 papers, 279 citations indexed

About

Shih-Hung Wu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shih-Hung Wu has authored 35 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 11 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shih-Hung Wu’s work include Topic Modeling (17 papers), Natural Language Processing Techniques (16 papers) and Advanced Text Analysis Techniques (5 papers). Shih-Hung Wu is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (16 papers) and Advanced Text Analysis Techniques (5 papers). Shih-Hung Wu collaborates with scholars based in Taiwan, Indonesia and United States. Shih-Hung Wu's co-authors include Richard Tzong‐Han Tsai, Wen‐Lian Hsu, Jieh Hsiang, Wen‐Chi Chou, Yu‐Chun Lin, Ting‐Yi Sung, Rung-Ching Chen, Ding He, Cheng‐Wei Lee and Wing‐Kwong Wong and has published in prestigious journals such as Expert Systems with Applications, BMC Bioinformatics and Computers & Education.

Co-authorship network of co-authors of Shih-Hung Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Hung Wu. A scholar is included among the top collaborators of Shih-Hung Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shih-Hung Wu. Shih-Hung Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Shih-Hung Wu

27 papers receiving 260 citations

Fields of papers citing papers by Shih-Hung Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shih-Hung Wu

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2026