Yue Wu

9.0k total citations · 5 hit papers
118 papers, 5.1k citations indexed

About

Yue Wu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Yue Wu has authored 118 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Computer Vision and Pattern Recognition, 18 papers in Media Technology and 13 papers in Artificial Intelligence. Recurrent topics in Yue Wu's work include Face recognition and analysis (30 papers), Face and Expression Recognition (28 papers) and Advanced Image and Video Retrieval Techniques (21 papers). Yue Wu is often cited by papers focused on Face recognition and analysis (30 papers), Face and Expression Recognition (28 papers) and Advanced Image and Video Retrieval Techniques (21 papers). Yue Wu collaborates with scholars based in United States, China and Macao. Yue Wu's co-authors include Prem Natarajan, Qiang Ji, Joseph P. Noonan, Yicong Zhou, Wael AbdAlmageed, Sos С. Agaian, Yun Fu, Tal Hassner, Iacopo Masi and Lijuan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Analytical Chemistry.

In The Last Decade

Yue Wu

114 papers receiving 5.0k citations

Hit Papers

Local Shannon entropy measure with statistical tests for ... 2012 2026 2016 2021 2012 2020 2018 2019 2012 100 200 300 400 500
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. Local Shannon entropy measure with statistical tests for image randomness
    2012 592 citations Yue Wu, Joseph P. Noonan et al. profile →
  2. Rethinking Classification and Localization for Object Detection
    2020 491 citations Yue Wu, Yinpeng Chen et al. profile →
  3. Deep Face Recognition: A Survey
    2018 388 citations Iacopo Masi, Yue Wu et al. profile →
  4. ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features
    2019 349 citations Yue Wu, Wael AbdAlmageed et al. profile →
  5. Image encryption using the two-dimensional logistic chaotic map
    2012 271 citations Yue Wu profile →

Peers

Yue Wu
Fathi E. Abd El‐Samie Egypt
Balasubramanian Raman India
Walid El‐Shafai Egypt
Guojun Lu Australia
Bernard Ghanem Saudi Arabia
Arjan Kuijper Germany
Yi Ma China
M.G. Strintzis Greece
Frank Y. Shih United States
Michael Rubinstein United States
Fathi E. Abd El‐Samie Egypt
Yue Wu
Citations per year, relative to Yue Wu Yue Wu (= 1×) peers Fathi E. Abd El‐Samie

Countries citing papers authored by Yue Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yue Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Wu. A scholar is included among the top collaborators of Yue 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 Yue Wu. Yue Wu 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.
Kiah, Miss Laiha Mat, et al.. (2025). MHF-UIE a multi-task hybrid fusion method for real-world underwater image enhancement. Scientific Reports. 15(1). 18131–18131. 1 indexed citations
2.
Liu, Jiaming, Yue Wu, Maoguo Gong, et al.. (2024). M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3630–3638. 5 indexed citations
3.
Wu, Yue, et al.. (2023). Feature flow regularization: Improving structured sparsity in deep neural networks. Neural Networks. 161. 598–613. 5 indexed citations
4.
Meng, Guotao, Yue Wu, & Qifeng Chen. (2023). Improving Video Super-Resolution with Long-Term Self-Exemplars. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5992–5998. 1 indexed citations
5.
Cheng, Jiaxin, Yue Wu, Ayush Jaiswal, et al.. (2023). User-Controllable Arbitrary Style Transfer via Entropy Regularization. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 433–441. 7 indexed citations
6.
Li, Zhihao, et al.. (2023). Remaining useful life prediction of circuit breaker operating mechanisms based on wavelet-enhanced dual-tree residual networks. Journal of Power Electronics. 24(1). 78–91. 4 indexed citations
7.
Zhang, Yu, et al.. (2023). Distribution and Genesis of Potassium-Bearing Minerals in Lop Nor Playa, Xinjiang, China. Minerals. 13(4). 560–560. 4 indexed citations
8.
Liu, Yangyang, et al.. (2023). Healthcare and Fitness Services: A Comprehensive Assessment of Blockchain, IoT, and Edge Computing in Smart Cities. Journal of Grid Computing. 21(4). 4 indexed citations
9.
Wu, Yue, Qiang Wen, & Qifeng Chen. (2022). Optimizing Video Prediction via Video Frame Interpolation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17793–17802. 25 indexed citations
10.
Wu, Yue, Yinpeng Chen, Lu Yuan, et al.. (2020). Rethinking Classification and Localization for Object Detection. 10183–10192. 491 indexed citations breakdown →
11.
Tsai, Yao-Hung Hubert, Yue Wu, Ruslan Salakhutdinov, & Louis–Philippe Morency. (2020). Demystifying Self-Supervised Learning: An Information-Theoretical Framework.. arXiv (Cornell University). 5 indexed citations
12.
Wu, Yue, et al.. (2020). Future Video Synthesis With Object Motion Prediction. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5538–5547. 49 indexed citations
13.
14.
Wu, Yue, et al.. (2018). Nanoparticle Size Measurement Method Based on Improved Watershed Segmentation. 232–237. 4 indexed citations
15.
Zhang, Zhongping, Yue Wu, Zheng Zhou, & Youzuo Lin. (2018). VelocityGAN: Data-Driven Full-Waveform Inversion Using Conditional Adversarial Networks. arXiv (Cornell University). 3 indexed citations
16.
Masi, Iacopo, Feng-Ju Chang, Jongmoo Choi, et al.. (2018). Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(2). 379–393. 66 indexed citations
17.
Gou, Chao, Yue Wu, Kang Wang, et al.. (2017). A joint cascaded framework for simultaneous eye detection and eye state estimation. Pattern Recognition. 67. 23–31. 90 indexed citations
18.
Wu, Yue, Prem Natarajan, Stephen Rawls, & Wael AbdAlmageed. (2016). Learning document image binarization from data. 3763–3767. 21 indexed citations
19.
Nie, Shuai, W. Hampton Henley, Scott E. Miller, et al.. (2014). An automated integrated platform for rapid and sensitive multiplexed protein profiling using human saliva samples. Lab on a Chip. 14(6). 1087–1087. 51 indexed citations
20.

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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