Tin Lun Lam

76 papers and 653 indexed citations i.

About

Tin Lun Lam is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Tin Lun Lam has authored 76 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 24 papers in Mechanical Engineering and 21 papers in Biomedical Engineering. Recurrent topics in Tin Lun Lam’s work include Modular Robots and Swarm Intelligence (21 papers), Robotics and Sensor-Based Localization (17 papers) and Soft Robotics and Applications (16 papers). Tin Lun Lam is often cited by papers focused on Modular Robots and Swarm Intelligence (21 papers), Robotics and Sensor-Based Localization (17 papers) and Soft Robotics and Applications (16 papers). Tin Lun Lam collaborates with scholars based in China, Hong Kong and Poland. Tin Lun Lam's co-authors include Yangsheng Xu, Huihuan Qian, Yangsheng Xu, Junjie Hu, Fuqin Deng, Ming Li, Amir Khajepour, Chenyu Bao, William Melek and Sethu Vijayakumar and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Tin Lun Lam i

Fields of papers citing papers by Tin Lun Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tin Lun Lam

Since Specialization
Citations

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