Maosen Li

16 papers and 604 indexed citations i.

About

Maosen Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Civil and Structural Engineering. According to data from OpenAlex, Maosen Li has authored 16 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Civil and Structural Engineering. Recurrent topics in Maosen Li’s work include Human Pose and Action Recognition (6 papers), Gait Recognition and Analysis (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Maosen Li is often cited by papers focused on Human Pose and Action Recognition (6 papers), Gait Recognition and Analysis (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Maosen Li collaborates with scholars based in China, United States and Australia. Maosen Li's co-authors include Ya Zhang, Siheng Chen, Yanfeng Wang, Yangheng Zhao, Qi Tian, Jinkun Cao, Cewu Lu, Fei Ye, Chaoqin Huang and Chenxin Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Construction and Building Materials.

In The Last Decade

Co-authorship network of co-authors of Maosen Li i

Fields of papers citing papers by Maosen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maosen Li. 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 Maosen Li. The network helps show where Maosen Li may publish in the future.

Countries citing papers authored by Maosen Li

Since Specialization
Citations

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