Grace Chu
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
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- Domain Adaptation and Few-Shot Learning
- Adversarial Robustness in Machine Learning
- Machine Learning and Data Classification
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
Papers in
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- Advanced Neural Network Applications 3
- Multimodal Machine Learning Applications 1
- Advanced Image and Video Retrieval Techniques 1
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- Domain Adaptation and Few-Shot Learning 2
Grace Chu
3 papers receiving 80 citations
Peers
Comparison fields: 5 of 26
- Computer Vision and Pattern Recognition 62
- Artificial Intelligence 59
- Automotive Engineering 5
- Media Technology 3
- 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 84 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Parallel Computing and Optimization Techniques (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (62 citations), Artificial Intelligence (59 citations), Automotive Engineering (5 citations), Media Technology (3 citations) and Signal Processing (3 citations). Grace Chu has collaborated with scholars based in United States. Frequent co-authors include Pieter-Jan Kindermans, Hanxiao Liu, Gabriel Bender, Bo Chen, Shuyang Cheng, Quoc V. Le, Suyog Gupta, Weijun Wang, Berkin Akin and Andrew Howard.
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.