Angela Yao

4.8k total citations · 1 hit paper
65 papers, 1.9k citations indexed

About

Angela Yao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Angela Yao has authored 65 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 9 papers in Control and Systems Engineering. Recurrent topics in Angela Yao's work include Human Pose and Action Recognition (37 papers), Multimodal Machine Learning Applications (15 papers) and Anomaly Detection Techniques and Applications (12 papers). Angela Yao is often cited by papers focused on Human Pose and Action Recognition (37 papers), Multimodal Machine Learning Applications (15 papers) and Anomaly Detection Techniques and Applications (12 papers). Angela Yao collaborates with scholars based in Singapore, Germany and China. Angela Yao's 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 and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Angela Yao

57 papers receiving 1.9k citations

Hit Papers

Hough Forests for Object Detection, Tracking, and Action ... 2011 2026 2016 2021 2011 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Hough Forests for Object Detection, Tracking, and Action Recognition
    2011 399 citations Angela Yao, Luc Van Gool et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Angela Yao Singapore 23 1.6k 646 322 230 221 65 1.9k
Stephen Tyree United States 16 947 0.6× 529 0.8× 415 1.3× 223 1.0× 161 0.7× 25 1.5k
Xiang Yu China 17 599 0.4× 570 0.9× 132 0.4× 169 0.7× 266 1.2× 49 1.6k
Erjin Zhou China 13 1.9k 1.1× 689 1.1× 127 0.4× 258 1.1× 63 0.3× 15 2.4k
Joanna Materzyńska Mexico 6 2.0k 1.2× 1.1k 1.7× 155 0.5× 215 0.9× 89 0.4× 6 2.3k
Hakan Bilen United Kingdom 17 1.4k 0.8× 985 1.5× 118 0.4× 220 1.0× 63 0.3× 51 1.9k
Peizhao Zhang United States 14 1.4k 0.8× 825 1.3× 146 0.5× 53 0.2× 138 0.6× 28 1.9k
Chunfeng Yuan China 22 1.9k 1.1× 992 1.5× 263 0.8× 534 2.3× 65 0.3× 61 2.2k
Basura Fernando Australia 24 2.4k 1.5× 1.2k 1.9× 280 0.9× 546 2.4× 72 0.3× 58 2.8k
Jingen Liu United States 23 2.8k 1.7× 1.6k 2.4× 296 0.9× 607 2.6× 89 0.4× 62 3.3k
Tat‐Jen Cham Singapore 23 1.8k 1.1× 369 0.6× 325 1.0× 222 1.0× 169 0.8× 86 2.1k

Countries citing papers authored by Angela Yao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Zhou, Sheng, Junbin Xiao, Xun Yang, et al.. (2025). Scene-Text Grounding for Text-Based Video Question Answering. IEEE Transactions on Multimedia. 28. 1417–1430.
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Franchi, Gianni, et al.. (2024). Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models. 12194–12204. 5 indexed citations
5.
Xiong, Haipeng & Angela Yao. (2024). Deep Imbalanced Regression via Hierarchical Classification Adjustment. 23721–23730. 3 indexed citations
6.
Xiao, Junbin, Angela Yao, Yicong Li, & Tat‐Seng Chua. (2024). Can I Trust Your Answer? Visually Grounded Video Question Answering. 13204–13214. 20 indexed citations
7.
Yang, Fengyuan, et al.. (2024). KITRO: Refining Human Mesh by 2D Clues and Kinematic-tree Rotation. 1052–1061. 3 indexed citations
8.
Ding, Guodong, et al.. (2024). Coherent Temporal Synthesis for Incremental Action Segmentation. 28485–28494.
9.
Yao, Angela, et al.. (2024). Enhancing Video Super-Resolution via Implicit Resampling-based Alignment. 2546–2555. 6 indexed citations
10.
Singhania, Dipika, et al.. (2023). C2F-TCN: A Framework for Semi- and Fully-Supervised Temporal Action Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(10). 11484–11501. 25 indexed citations
11.
Xiao, Junbin, Pan Zhou, Angela Yao, et al.. (2023). Contrastive Video Question Answering via Video Graph Transformer. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 13265–13280. 19 indexed citations
12.
Lin, Qiuxia, Linlin Yang, & Angela Yao. (2023). Cross-Domain 3D Hand Pose Estimation with Dual Modalities. 17184–17193. 8 indexed citations
13.
Şener, Fadime, et al.. (2022). Transferring Knowledge From Text to Video: Zero-Shot Anticipation for Procedural Actions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 7836–7852. 10 indexed citations
14.
Yao, Angela, et al.. (2022). Accelerating Video Object Segmentation with Compressed Video. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 1332–1341. 19 indexed citations
15.
Xiao, Junbin, Xindi Shang, Angela Yao, & Tat‐Seng Chua. (2021). NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions. 9772–9781. 119 indexed citations
16.
Yao, Angela, et al.. (2020). Object-centered Fourier Motion Estimation and Segment-Transformation Prediction.. The European Symposium on Artificial Neural Networks. 321–326. 1 indexed citations
17.
Yao, Angela, et al.. (2018). Complex Gated Recurrent Neural Networks. Neural Information Processing Systems. 31. 10536–10546. 9 indexed citations
18.
Yao, Angela, et al.. (2018). Fourier RNNs for Sequence Prediction. arXiv (Cornell University). 2 indexed citations
19.
Wan, Chengde, Thomas Probst, Luc Van Gool, & Angela Yao. (2017). Crossing Nets: Dual Generative Models with a Shared Latent Space for Hand Pose Estimation.. arXiv (Cornell University). 24 indexed citations
20.
Yao, Angela & Wolfgang Einhäuser. (2008). Color aids late but not early stages of rapid natural scene recognition. Journal of Vision. 8(16). 12–12. 15 indexed citations

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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