Yin Wu

About

Yin Wu is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yin Wu has authored 16 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Mechanics, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Yin Wu’s work include Gait Recognition and Analysis (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Human Pose and Action Recognition (4 papers). Yin Wu is often cited by papers focused on Gait Recognition and Analysis (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Human Pose and Action Recognition (4 papers). Yin Wu collaborates with scholars based in China, Taiwan and Switzerland. Yin Wu's co-authors include Tong‐Miin Liou, Nadia Magnenat‐Thalmann, Prem Kalra, Laurent Moccozet, Daniël Thalmann, Jinlong Li, Yang Zhou, Linyi Chen, Jun Zhao and Yubo Chen and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Applied Surface Science and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Yin Wu i

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Fields of papers citing papers by Yin Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yin Wu

Since Specialization

Citations

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