Angela Yao
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Human-Computer Interaction top 1%
- Biomedical Engineering
- Control and Systems Engineering top 5%
- Co-authors
- Luc Van GoolJüergen GallVictor LempitskyNima RazaviFadime ŞenerTat‐Seng ChuaJunbin XiaoGabriele Fanelli
- Topics
- Human Pose and Action Recognition (37 papers)Multimodal Machine Learning Applications (15 papers)Anomaly Detection Techniques and Applications (12 papers)
In The Last Decade
Angela Yao
57 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 646
- Human-Computer Interaction 322
- Biomedical Engineering 230
- Control and Systems Engineering 221
Countries citing papers authored by Angela Yao
This map shows the geographic impact of Angela Yao'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 Angela Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angela Yao more than expected).
Fields of papers citing papers by Angela Yao
This network shows the impact of papers produced by Angela Yao. 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 Angela Yao. The network helps show where Angela Yao may publish in the future.
Co-authorship network of co-authors of Angela Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Angela Yao. A scholar is included among the top collaborators of Angela Yao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Angela Yao. Angela Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 20 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 25 | |
| 11 | 19 | |
| 12 | 8 | |
| 13 | 10 | |
| 14 | 19 | |
| 15 | 119 | |
| 16 | Object-centered Fourier Motion Estimation and Segment-Transformation Prediction. | 1 |
| 17 | Complex Gated Recurrent Neural Networks | 9 |
| 18 | Fourier RNNs for Sequence Prediction | 2 |
| 19 | Crossing Nets: Dual Generative Models with a Shared Latent Space for Hand Pose Estimation. | 24 |
| 20 | 15 |
About Angela Yao
Angela Yao is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 65 papers that have together received 1.9k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (37 papers), Multimodal Machine Learning Applications (15 papers) and Anomaly Detection Techniques and Applications (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Human-Computer Interaction (322 citations) and Artificial Intelligence (646 citations). Angela Yao has collaborated with scholars based in Singapore, Germany and China. Frequent co-authors include Luc Van Gool, Jüergen Gall, Victor Lempitsky, Nima Razavi, Fadime Şener, Tat‐Seng Chua, Junbin Xiao, Gabriele Fanelli, Luc Van Gool and Xindi Shang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal of Computer Vision.
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.