Joe Yue-Hei Ng

8 papers and 1.4k indexed citations i.

About

Joe Yue-Hei Ng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Global and Planetary Change. According to data from OpenAlex, Joe Yue-Hei Ng has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Global and Planetary Change. Recurrent topics in Joe Yue-Hei Ng’s work include Human Pose and Action Recognition (3 papers), Video Analysis and Summarization (2 papers) and Multimodal Machine Learning Applications (2 papers). Joe Yue-Hei Ng is often cited by papers focused on Human Pose and Action Recognition (3 papers), Video Analysis and Summarization (2 papers) and Multimodal Machine Learning Applications (2 papers). Joe Yue-Hei Ng collaborates with scholars based in United States. Joe Yue-Hei Ng's co-authors include George Toderici, Oriol Vinyals, Sudheendra Vijayanarasimhan, Rajat Monga, Matthew Hausknecht, Larry S. Davis, Fan Yang, Jonghyun Choi, Jan Neumann and Joonseok Lee and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Environmental Research Communications.

In The Last Decade

Co-authorship network of co-authors of Joe Yue-Hei Ng i

Fields of papers citing papers by Joe Yue-Hei Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joe Yue-Hei Ng. 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 Joe Yue-Hei Ng. The network helps show where Joe Yue-Hei Ng may publish in the future.

Countries citing papers authored by Joe Yue-Hei Ng

Since Specialization
Citations

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