Chi-Sing Leung

221 papers and 3.9k indexed citations i.

About

Chi-Sing Leung is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Chi-Sing Leung has authored 221 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Artificial Intelligence, 78 papers in Computer Vision and Pattern Recognition and 32 papers in Signal Processing. Recurrent topics in Chi-Sing Leung’s work include Neural Networks and Applications (64 papers), Machine Learning and ELM (35 papers) and Advanced Vision and Imaging (31 papers). Chi-Sing Leung is often cited by papers focused on Neural Networks and Applications (64 papers), Machine Learning and ELM (35 papers) and Advanced Vision and Imaging (31 papers). Chi-Sing Leung collaborates with scholars based in Hong Kong, China and United States. Chi-Sing Leung's co-authors include John Sum, Narla Mohandas, Tien‐Tsin Wong, Hing Cheung So, E. Evans, Christina Wang, Laiwan Chan, Liang Wan, Kevin Ho and Yanhe Lue and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Co-authorship network of co-authors of Chi-Sing Leung i

Fields of papers citing papers by Chi-Sing Leung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi-Sing Leung. 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 Chi-Sing Leung. The network helps show where Chi-Sing Leung may publish in the future.

Countries citing papers authored by Chi-Sing Leung

Since Specialization
Citations

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