Grace Chu
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
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- Domain Adaptation and Few-Shot Learning
- Adversarial Robustness in Machine Learning
- Neural Networks and Applications
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
Papers in
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- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 1
- Multimodal Machine Learning Applications 1
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- Domain Adaptation and Few-Shot Learning 2
Grace Chu
3 papers receiving 71 citations
Peers
Comparison fields: 5 of 25
- Computer Vision and Pattern Recognition 55
- Artificial Intelligence 54
- Media Technology 3
- Automotive Engineering 4
- Signal Processing 3
Countries citing papers authored by Grace Chu
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).
Fields of papers citing papers by Grace Chu
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.
Co-authors
The 18 scholars most cited alongside Grace Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Grace Chu
Grace Chu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture and Infectious Diseases, having authored 3 papers that have together received 74 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), IoT and Edge/Fog Computing (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (55 citations), Artificial Intelligence (54 citations), Media Technology (3 citations), Automotive Engineering (4 citations) and Signal Processing (3 citations). Grace Chu has collaborated with scholars based in United States. Frequent co-authors include Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Bo Chen, Shuyang Cheng, Quoc V. Le, Weijun Wang, Suyog Gupta, Andrew Howard and Okan Arıkan.
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.