Yiu‐Kai Ng

About

Yiu‐Kai Ng is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Yiu‐Kai Ng has authored 39 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Information Systems, 26 papers in Artificial Intelligence and 10 papers in Computer Networks and Communications. Recurrent topics in Yiu‐Kai Ng’s work include Web Data Mining and Analysis (17 papers), Topic Modeling (9 papers) and Text and Document Classification Technologies (9 papers). Yiu‐Kai Ng is often cited by papers focused on Web Data Mining and Analysis (17 papers), Topic Modeling (9 papers) and Text and Document Classification Technologies (9 papers). Yiu‐Kai Ng collaborates with scholars based in United States. Yiu‐Kai Ng's co-authors include Maria Soledad Pera, David W. Embley, Wai Yin Mok, Quan Wang and Dallan Quass and has published in prestigious journals such as Information Processing & Management, Proceedings of the VLDB Endowment and ACM Transactions on Database Systems.

In The Last Decade

Co-authorship network of co-authors of Yiu‐Kai Ng i

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Fields of papers citing papers by Yiu‐Kai Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yiu‐Kai Ng. 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 Yiu‐Kai Ng. The network helps show where Yiu‐Kai Ng may publish in the future.

Countries citing papers authored by Yiu‐Kai Ng

Since Specialization

Citations

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