Grace Chu

About

Grace Chu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Grace Chu has authored 4 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Grace Chu’s work include Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Grace Chu is often cited by papers focused on Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Grace Chu collaborates with scholars based in United States. Grace Chu's co-authors include Quoc V. Le, Andrew Howard, Liang-Chieh Chen, Yukun Zhu, Ruoming Pang, Bo Chen, Mingxing Tan, Vijay Vasudevan, Weijun Wang and Mark Sandler and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Grace Chu i

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Fields of papers citing papers by Grace Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Grace Chu

Since Specialization

Citations

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