Ling-Yau Chan

23 papers and 301 indexed citations i.

About

Ling-Yau Chan is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Ling-Yau Chan has authored 23 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 8 papers in Industrial and Manufacturing Engineering and 7 papers in Computational Theory and Mathematics. Recurrent topics in Ling-Yau Chan’s work include Optimal Experimental Design Methods (12 papers), Manufacturing Process and Optimization (8 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Ling-Yau Chan is often cited by papers focused on Optimal Experimental Design Methods (12 papers), Manufacturing Process and Optimization (8 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Ling-Yau Chan collaborates with scholars based in Hong Kong, India and United Kingdom. Ling-Yau Chan's co-authors include Shaomin Wu, Tom Ryan, Jacqueline Ho Sze Lee, Chi Hang Wong, Tony K.H. Chung, Tat‐San Lau, Connie W. C. Hui, Joseph Kwong, Chang‐Xing Ma and Mingyao Ai and has published in prestigious journals such as Oncogene, Biometrika and Journal of Mathematical Analysis and Applications.

In The Last Decade

Co-authorship network of co-authors of Ling-Yau Chan i

Fields of papers citing papers by Ling-Yau Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ling-Yau Chan

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025