Justin W. L. Wan

40 papers and 304 indexed citations i.

About

Justin W. L. Wan is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Finance. According to data from OpenAlex, Justin W. L. Wan has authored 40 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Finance. Recurrent topics in Justin W. L. Wan’s work include Advanced Numerical Methods in Computational Mathematics (10 papers), Medical Image Segmentation Techniques (10 papers) and Stochastic processes and financial applications (10 papers). Justin W. L. Wan is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (10 papers), Medical Image Segmentation Techniques (10 papers) and Stochastic processes and financial applications (10 papers). Justin W. L. Wan collaborates with scholars based in Canada, United States and China. Justin W. L. Wan's co-authors include Karen Miu, Peter Forsyth, Xudong Liu, Gladimir V. G. Baranoski, Dong Han, Lin Xu, Haig Djambazian, Randolph E. Bank, Robert Sladek and Thomas J. Hudson and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Power Systems and ACM Transactions on Graphics.

In The Last Decade

Co-authorship network of co-authors of Justin W. L. Wan i

Fields of papers citing papers by Justin W. L. Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin W. L. Wan. 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 Justin W. L. Wan. The network helps show where Justin W. L. Wan may publish in the future.

Countries citing papers authored by Justin W. L. Wan

Since Specialization
Citations

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