Daniel Yeung

58 papers and 1.7k indexed citations i.

About

Daniel Yeung is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Daniel Yeung has authored 58 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 9 papers in Computational Theory and Mathematics. Recurrent topics in Daniel Yeung’s work include Neural Networks and Applications (26 papers), Face and Expression Recognition (9 papers) and Rough Sets and Fuzzy Logic (7 papers). Daniel Yeung is often cited by papers focused on Neural Networks and Applications (26 papers), Face and Expression Recognition (9 papers) and Rough Sets and Fuzzy Logic (7 papers). Daniel Yeung collaborates with scholars based in Hong Kong, China and Taiwan. Daniel Yeung's co-authors include Eric C.C. Tsang, Degang Chen, Xizhao Wang, Wing W. Y. Ng, Xiaoqin Zeng, Defeng Wang, Wen‐Xiu Zhang, Suyun Zhao, Tharam S. Dillon and Sankar K. Pal and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Daniel Yeung i

Fields of papers citing papers by Daniel Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Yeung. 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 Daniel Yeung. The network helps show where Daniel Yeung may publish in the future.

Countries citing papers authored by Daniel Yeung

Since Specialization
Citations

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