Angela Yao

49 papers and 1.2k indexed citations i.

About

Angela Yao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Angela Yao has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 9 papers in Human-Computer Interaction. Recurrent topics in Angela Yao’s work include Human Pose and Action Recognition (28 papers), Multimodal Machine Learning Applications (10 papers) and Anomaly Detection Techniques and Applications (10 papers). Angela Yao is often cited by papers focused on Human Pose and Action Recognition (28 papers), Multimodal Machine Learning Applications (10 papers) and Anomaly Detection Techniques and Applications (10 papers). Angela Yao collaborates with scholars based in Singapore, Germany and China. Angela Yao's co-authors include Luc Van Gool, Jüergen Gall, Victor Lempitsky, Nima Razavi, Fadime Şener, Tat‐Seng Chua, Junbin Xiao, Linlin Yang, Thomas Probst and Chengde Wan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Angela Yao i

Fields of papers citing papers by Angela Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Angela Yao

Since Specialization
Citations

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