Tianmin Shu

About

Tianmin Shu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Tianmin Shu has authored 24 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 5 papers in Social Psychology. Recurrent topics in Tianmin Shu’s work include Human Pose and Action Recognition (8 papers), Reinforcement Learning in Robotics (5 papers) and Multimodal Machine Learning Applications (4 papers). Tianmin Shu is often cited by papers focused on Human Pose and Action Recognition (8 papers), Reinforcement Learning in Robotics (5 papers) and Multimodal Machine Learning Applications (4 papers). Tianmin Shu collaborates with scholars based in United States, China and United Arab Emirates. Tianmin Shu's co-authors include Song‐Chun Zhu, Siniša Todorović, Dan Xie, Brandon Rothrock, Eric P. Xing, Jianyu Wang, Michael S. Ryoo, Han Guo, Meng Song and Hongjing Lu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Developmental Psychology and Vision Research.

In The Last Decade

Co-authorship network of co-authors of Tianmin Shu i

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Fields of papers citing papers by Tianmin Shu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tianmin Shu

Since Specialization

Citations

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