Ying Wu

20.0k total citations · 7 hit papers
277 papers, 10.7k citations indexed

About

Ying Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ying Wu has authored 277 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 194 papers in Computer Vision and Pattern Recognition, 91 papers in Artificial Intelligence and 24 papers in Signal Processing. Recurrent topics in Ying Wu's work include Advanced Image and Video Retrieval Techniques (60 papers), Video Surveillance and Tracking Methods (50 papers) and Advanced Vision and Imaging (45 papers). Ying Wu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (60 papers), Video Surveillance and Tracking Methods (50 papers) and Advanced Vision and Imaging (45 papers). Ying Wu collaborates with scholars based in United States, China and Singapore. Ying Wu's co-authors include Junsong Yuan, Thomas S. Huang, Song‐Chun Zhu, Zicheng Liu, Jiang Wang, Ming Yang, Jiang Wang, Alessandro Chiuso, Gianfranco Doretto and Stefano Soatto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Ying Wu

266 papers receiving 10.2k citations

Hit Papers

5 papers align trajectories

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.

Mining actionlet ensemble for action recognition with depth cameras

2012 1.0k citations Ying Wu, Junsong Yuan et al. profile →
Learning Fine-Grained Image Similarity with Deep Ranking

2014 747 citations Jiang Wang, Ying Wu et al. profile →
Dynamic Textures

2003 606 citations Ying Wu et al. profile →
Cross-View Action Modeling, Learning, and Recognition

2014 409 citations Jiang Wang, Xiaohan Nie et al. profile →
Learning Actionlet Ensemble for 3D Human Action Recognition

2013 375 citations Ying Wu, Junsong Yuan et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction

2019 320 citations Ying Wu et al. profile →
Semi-Supervised Transfer Learning for Image Rain Removal

2019 311 citations Ying Wu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ying Wu United States	50	8.4k	3.1k	1.4k	1.3k	888	277	10.7k
James M. Rehg United States	56	9.0k 1.1×	2.5k 0.8×	1.0k 0.7×	1.8k 1.4×	609 0.7×	243	12.9k
Sergio Guadarrama United States	18	9.7k 1.2×	4.6k 1.5×	1.2k 0.9×	636 0.5×	939 1.1×	51	13.7k
Yingli Tian United States	48	8.3k 1.0×	2.4k 0.8×	1.3k 0.9×	1.7k 1.3×	876 1.0×	203	11.4k
Weiming Hu China	51	8.8k 1.0×	3.0k 1.0×	1.2k 0.9×	592 0.5×	701 0.8×	306	11.5k
Rahul Sukthankar United States	45	11.1k 1.3×	4.3k 1.4×	1.5k 1.1×	1.1k 0.9×	866 1.0×	145	14.4k
Dahua Lin Hong Kong	50	11.8k 1.4×	6.0k 2.0×	2.0k 1.4×	1.0k 0.8×	929 1.0×	201	15.8k
L.S. Davis United States	49	10.7k 1.3×	2.4k 0.8×	1.3k 1.0×	868 0.7×	946 1.1×	171	12.7k
Rainer Stiefelhagen Germany	46	6.3k 0.7×	2.0k 0.7×	781 0.6×	1.2k 0.9×	397 0.4×	309	8.9k
Stephen J. Maybank United Kingdom	47	9.2k 1.1×	3.9k 1.3×	1.3k 1.0×	548 0.4×	1.3k 1.5×	161	12.8k
Stan Sclaroff United States	55	8.6k 1.0×	2.3k 0.8×	664 0.5×	1.6k 1.2×	455 0.5×	213	10.6k

Countries citing papers authored by Ying Wu

Since Specialization

Citations

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

Fields of papers citing papers by Ying Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Wu. A scholar is included among the top collaborators of Ying Wu 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 Ying Wu. Ying Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wu, Ying, et al.. (2025). Chiral Interaction Induced Near-Perfect Photon Blockade. Physical Review Letters. 134(1). 13602–13602. 6 indexed citations

2.

Zhao, Tianyang, et al.. (2024). No Head Left Behind – Multi-Head Alignment Distillation for Transformers. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 7514–7524. 1 indexed citations

3.

He, Qiongyi, et al.. (2024). Genuine multipartite entanglement induced by a thermal acoustic reservoir. Physical review. B.. 110(22). 3 indexed citations

4.

Zhu, Hai, et al.. (2023). Emotional Voice Conversion with Semi-Supervised Generative Modeling. 2278–2282.

5.

Cheng, Zhe, Zhilong Zhang, Guang Liu, & Ying Wu. (2023). Study on the Effect of Non-Linear Ventilation Pipe Composite Measures on the Slope Permafrost Subgrade. Sustainability. 15(2). 1180–1180.

6.

Wu, Ying, et al.. (2023). Collective radiance of giant atoms in non-Markovian regime. Science China Physics Mechanics and Astronomy. 66(2). 41 indexed citations

7.

Zhuang, Cunbo, et al.. (2022). Digital Twin-based Quality Management Method for the Assembly Process of Aerospace Products with the Grey-Markov Model and Apriori Algorithm. Chinese Journal of Mechanical Engineering. 35(1). 11 indexed citations

8.

Liu, Qian, Ying Wu, & Qilie Liu. (2022). Multifactor Recommendation-based Video Caching Strategy in Mobile Edge Computing. 81–90. 1 indexed citations

9.

Zhu, Yixin, Tao Gao, Siyuan Huang, et al.. (2020). Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense. Engineering. 6(3). 310–345. 77 indexed citations

10.

Gao, Ruiqi, Jianwen Xie, Xue-Xin Wei, Song‐Chun Zhu, & Ying Wu. (2020). On Path Integration of Grid Cells: Isotropic Metric, Conformal Embedding and Group Representation. arXiv (Cornell University). 1 indexed citations

11.

Zhang, Quanshi, Xin Wang, Ruiming Cao, et al.. (2020). Extraction of an Explanatory Graph to Interpret a CNN. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(11). 3863–3877. 26 indexed citations

12.

Edmonds, Mark, Hangxin Liu, Xu Xie, et al.. (2019). A tale of two explanations: Enhancing human trust by explaining robot behavior. Science Robotics. 4(37). 85 indexed citations

13.

Nijkamp, Erik, Song‐Chun Zhu, & Ying Wu. (2019). On Learning Non-Convergent Short-Run MCMC Toward Energy-Based Model.. arXiv (Cornell University). 3 indexed citations

14.

Xie, Jianwen, Yang Lu, Song‐Chun Zhu, & Ying Wu. (2015). Inducing wavelets into random fields via generative boosting. Applied and Computational Harmonic Analysis. 41(1). 4–25. 8 indexed citations

15.

Wang, Jiang, Xiaohan Nie, Xia Yin, Ying Wu, & Song‐Chun Zhu. (2014). Cross-View Action Modeling, Learning, and Recognition. 2649–2656. 409 indexed citations breakdown →

16.

Shen, Xiaohui, Zhe Lin, Joel Brandt, Shai Avidan, & Ying Wu. (2012). Object retrieval and localization with spatially-constrained similarity measure and k-NN re-ranking. 3013–3020. 147 indexed citations

17.

Zhu, Song Chun, et al.. (2011). Exploring Texture Ensembles by Efficient Markov Chain Monte Carlo. eScholarship (California Digital Library).

18.

Yuan, Junsong, Ming Yang, & Ying Wu. (2011). Mining discriminative co-occurrence patterns for visual recognition. 2777–2784. 43 indexed citations

19.

Guo, Cheng-en, Song Chun Zhu, & Ying Wu. (2000). Visual Learning by Integrating Descriptive and Generative Methods. eScholarship (California Digital Library). 7 indexed citations

20.

Liu, Qiong, Stephen E. Levinson, Ying Wu, & Thomas S. Huang. (2000). Interactive and Incremental Learning via a Mixture of Supervised and Unsupervised Learning Strategies. 555–558. 6 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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