Evonne Ng

700 citations
4 papers · 91 · h-index 4

Impact in

Papers in

Journals
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
Partner nations
United StatesSouth Korea

In The Last Decade

Evonne Ng

4 papers receiving 86 citations

Peers

Evonne Ng
Comparison fields: 5 of 27
  • Computer Vision and Pattern Recognition 52
  • Human-Computer Interaction 12
  • Signal Processing 17
  • Control and Systems Engineering 22
  • Artificial Intelligence 29
Replace Tengda Han with:
Tengda Han United Kingdom
Vasil Khalidov Switzerland
Jinbo Xing Hong Kong
Linsen Song China
Shraman Pramanick India
Xiaoxi Mao China
Nikhil Krishnaswamy United States
Giulio Paci Italy
Gus Xia China
Evonne Ng relative to Tengda Han United Kingdom Tengda Han's profile →
Citations per field
00.5×1.5×2.4×
Tengda Han · 1×
Citations per year

Countries citing papers authored by Evonne Ng

Since Specialization
Citations

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

Fields of papers citing papers by Evonne Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Evonne Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Evonne Ng Line = papers co-authored together Evonne Ng links everyone, so they are left out of the graph.

All Works

About Evonne Ng

Evonne Ng is a scholar working on Computer Vision and Pattern Recognition, Social Psychology, Control and Systems Engineering, Signal Processing and Artificial Intelligence, having authored 4 papers that have together received 91 indexed citations. Recurring topics across this work include Face recognition and analysis (2 papers), Speech and Audio Processing (1 paper), Language, Metaphor, and Cognition (1 paper), Action Observation and Synchronization (1 paper), Music Technology and Sound Studies (1 paper), Human Motion and Animation (1 paper), Digital Media Forensic Detection (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (52 citations), Human-Computer Interaction (12 citations), Signal Processing (17 citations), Control and Systems Engineering (22 citations) and Artificial Intelligence (29 citations). Evonne Ng has collaborated with scholars based in United States and South Korea. Frequent co-authors include Trevor Darrell, Angjoo Kanazawa, Liwen Hu, Hao Li, Shiry Ginosar, Hanbyul Joo, Anna Rohrbach, Shruti Agarwal, Alexander Richard and Dan Klein. Their work appears in journals such as 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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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