Ka Chun Lam

21 papers and 331 indexed citations i.

About

Ka Chun Lam is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Ka Chun Lam has authored 21 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Computational Mechanics and 4 papers in Computational Theory and Mathematics. Recurrent topics in Ka Chun Lam’s work include Medical Image Segmentation Techniques (7 papers), 3D Shape Modeling and Analysis (6 papers) and Robotics and Sensor-Based Localization (3 papers). Ka Chun Lam is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), 3D Shape Modeling and Analysis (6 papers) and Robotics and Sensor-Based Localization (3 papers). Ka Chun Lam collaborates with scholars based in Hong Kong and United States. Ka Chun Lam's co-authors include Lok Ming Lui, Xianfeng Gu, Gary P. T. Choi, Shing‐Tung Yau, Yin Tat Lee, Thomas Y. Hou, De Huang, Pengchuan Zhang, K. S. Chong and Shumao Zhang and has published in prestigious journals such as Nature, Frontiers in Human Neuroscience and Medical Image Analysis.

In The Last Decade

Co-authorship network of co-authors of Ka Chun Lam i

Fields of papers citing papers by Ka Chun Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ka Chun Lam. 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 Ka Chun Lam. The network helps show where Ka Chun Lam may publish in the future.

Countries citing papers authored by Ka Chun Lam

Since Specialization
Citations

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