Tak-Lam Wong

42 papers and 586 indexed citations i.

About

Tak-Lam Wong is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Tak-Lam Wong has authored 42 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 19 papers in Information Systems and 7 papers in Management Science and Operations Research. Recurrent topics in Tak-Lam Wong’s work include Text and Document Classification Technologies (14 papers), Web Data Mining and Analysis (12 papers) and Topic Modeling (7 papers). Tak-Lam Wong is often cited by papers focused on Text and Document Classification Technologies (14 papers), Web Data Mining and Analysis (12 papers) and Topic Modeling (7 papers). Tak-Lam Wong collaborates with scholars based in Hong Kong, China and Canada. Tak-Lam Wong's co-authors include Haoran Xie, Wai Lam, Fu Lee Wang, Xizhao Wang, Yichao He, Yanghui Rao, Raymond Y.K. Lau, Qing Li, Di Zou and Lidong Bing and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and IEEE Transactions on Cybernetics.

In The Last Decade

Co-authorship network of co-authors of Tak-Lam Wong i

Fields of papers citing papers by Tak-Lam Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tak-Lam 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 Tak-Lam Wong. The network helps show where Tak-Lam Wong may publish in the future.

Countries citing papers authored by Tak-Lam Wong

Since Specialization
Citations

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