Kam‐Fai Wong

204 papers and 4.3k indexed citations i.

About

Kam‐Fai Wong is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kam‐Fai Wong has authored 204 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Artificial Intelligence, 49 papers in Information Systems and 25 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kam‐Fai Wong’s work include Topic Modeling (79 papers), Advanced Text Analysis Techniques (33 papers) and Natural Language Processing Techniques (33 papers). Kam‐Fai Wong is often cited by papers focused on Topic Modeling (79 papers), Advanced Text Analysis Techniques (33 papers) and Natural Language Processing Techniques (33 papers). Kam‐Fai Wong collaborates with scholars based in Hong Kong, China and United States. Kam‐Fai Wong's co-authors include Wei Gao, Jing Ma, Friedrich M. Wahl, R. G. Casey, Robert W. P. Luk, Ho Chung Wu, K. L. Kwok, E. Polak, Zhongyu Wei and Yueming Lu and has published in prestigious journals such as Gastroenterology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Cancer.

In The Last Decade

Co-authorship network of co-authors of Kam‐Fai Wong i

Fields of papers citing papers by Kam‐Fai Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kam‐Fai 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 Kam‐Fai Wong. The network helps show where Kam‐Fai Wong may publish in the future.

Countries citing papers authored by Kam‐Fai Wong

Since Specialization
Citations

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