Laiwan Chan

44 papers and 532 indexed citations i.

About

Laiwan Chan is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Laiwan Chan has authored 44 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 16 papers in Signal Processing and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Laiwan Chan’s work include Neural Networks and Applications (12 papers), Blind Source Separation Techniques (10 papers) and Bayesian Modeling and Causal Inference (8 papers). Laiwan Chan is often cited by papers focused on Neural Networks and Applications (12 papers), Blind Source Separation Techniques (10 papers) and Bayesian Modeling and Causal Inference (8 papers). Laiwan Chan collaborates with scholars based in Hong Kong, United States and Australia. Laiwan Chan's co-authors include Chi-Sing Leung, Irwin King, Kun Zhang, Haiqin Yang, Michael R. Lyu, Kaizhu Huang, Furui Liu, Li Teng, John Sum and Kun Zhang and has published in prestigious journals such as IEEE Transactions on Signal Processing, Pattern Recognition and Neural Computation.

In The Last Decade

Co-authorship network of co-authors of Laiwan Chan i

Fields of papers citing papers by Laiwan Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laiwan Chan

Since Specialization
Citations

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