Yuk Wah Wong

8 papers and 620 indexed citations i.

About

Yuk Wah Wong is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Yuk Wah Wong has authored 8 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Information Systems. Recurrent topics in Yuk Wah Wong’s work include Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Semantic Web and Ontologies (3 papers). Yuk Wah Wong is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Semantic Web and Ontologies (3 papers). Yuk Wah Wong collaborates with scholars based in United States. Yuk Wah Wong's co-authors include Raymond J. Mooney, Rohit J. Kate, Edward M. Marcotte, Arun Ramani, Răzvan Bunescu, Aaron J. Jacobs, Kamal Nigam and Dominic Widdows and has published in prestigious journals such as Artificial Intelligence in Medicine, CiteSeer X (The Pennsylvania State University) and Meeting of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Yuk Wah Wong i

Fields of papers citing papers by Yuk Wah Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuk Wah Wong. 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 Yuk Wah Wong. The network helps show where Yuk Wah Wong may publish in the future.

Countries citing papers authored by Yuk Wah Wong

Since Specialization
Citations

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