Zhenyao Wu

1.0k total citations
22 papers, 572 citations indexed

About

Zhenyao Wu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Zhenyao Wu has authored 22 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 3 papers in Media Technology. Recurrent topics in Zhenyao Wu's work include Advanced Vision and Imaging (5 papers), Image Enhancement Techniques (5 papers) and Machine Learning in Materials Science (3 papers). Zhenyao Wu is often cited by papers focused on Advanced Vision and Imaging (5 papers), Image Enhancement Techniques (5 papers) and Machine Learning in Materials Science (3 papers). Zhenyao Wu collaborates with scholars based in United States, China and Australia. Zhenyao Wu's co-authors include Song Wang, Xinyi Wu, Lili Ju, Hao Guo, Xiao–Ping Zhang, Hui Yin, Yang Mi, Yong Zhao, Ming Hu and Nihang Fu and has published in prestigious journals such as Nano Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Journal of Physical Chemistry A.

In The Last Decade

Zhenyao Wu

19 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenyao Wu United States 12 376 100 92 61 38 22 572
Shanshan Zhao China 11 268 0.7× 152 1.5× 15 0.2× 91 1.5× 29 0.8× 26 481
Maneesha Singh United Kingdom 6 143 0.4× 85 0.8× 26 0.3× 96 1.6× 15 0.4× 11 473
Jenia Jitsev Germany 9 191 0.5× 134 1.3× 25 0.3× 28 0.5× 19 0.5× 23 453
Mengke Li China 15 199 0.5× 145 1.4× 112 1.2× 63 1.0× 10 0.3× 47 613
Mohammad Reza Ahmadzadeh Iran 12 191 0.5× 127 1.3× 10 0.1× 62 1.0× 18 0.5× 38 492
Zijian He China 14 486 1.3× 278 2.8× 13 0.1× 54 0.9× 33 0.9× 41 761
Nihar Kumar Mahato India 9 230 0.6× 32 0.3× 14 0.2× 214 3.5× 16 0.4× 22 483
Wei Hao China 11 178 0.5× 33 0.3× 19 0.2× 50 0.8× 20 0.5× 52 354
Minghan Li China 12 363 1.0× 175 1.8× 9 0.1× 65 1.1× 10 0.3× 25 619

Countries citing papers authored by Zhenyao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenyao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenyao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenyao Wu. A scholar is included among the top collaborators of Zhenyao 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 Zhenyao Wu. Zhenyao 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.
Wu, Zhenyao, et al.. (2025). Coarse-to-fine text injecting for realistic image super-resolution. Neurocomputing. 626. 129591–129591.
2.
Wan, Jin, et al.. (2024). CRFormer: A cross-region transformer for shadow removal. Image and Vision Computing. 151. 105273–105273. 3 indexed citations
3.
Liu, Yanting, Hui Yin, Jin Wan, et al.. (2024). Estimating intrinsic characteristics of images for shadow removal. Computers & Graphics. 120. 103922–103922.
4.
Zhao, Yong, Edirisuriya M. Dilanga Siriwardane, Zhenyao Wu, et al.. (2023). Physics guided deep learning for generative design of crystal materials with symmetry constraints. npj Computational Materials. 9(1). 68 indexed citations
5.
Wu, Zhenyao, et al.. (2023). Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3410–3417. 8 indexed citations
6.
Wu, Zhenyao, et al.. (2023). Parametric Surface Constrained Upsampler Network for Point Cloud. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 250–258. 6 indexed citations
7.
8.
Wu, Zhenyao, Xinyi Wu, Michael J. Zachman, et al.. (2023). Quantifying Atomically Dispersed Catalysts Using Deep Learning Assisted Microscopy. Nano Letters. 23(16). 7442–7448. 11 indexed citations
9.
Wu, Zhenyao, et al.. (2023). Eye of Horus: a vision-based framework for real-time water level measurement. Hydrology and earth system sciences. 27(22). 4135–4149. 2 indexed citations
10.
Wu, Xinyi, Zhenyao Wu, Yuhang Lu, Lili Ju, & Song Wang. (2022). Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 2740–2749. 15 indexed citations
11.
Wu, Zhenyao, et al.. (2022). Crossmodal Few-shot 3D Point Cloud Semantic Segmentation. Proceedings of the 30th ACM International Conference on Multimedia. 4760–4768. 13 indexed citations
12.
Wu, Zhenyao, et al.. (2021). ATLANTIS: A Benchmark for Semantic Segmentation of Waterbody Images. Scholar Commons (University of South Carolina). 31 indexed citations
13.
Wu, Xinyi, Zhenyao Wu, Lili Ju, & Song Wang. (2021). A One-Stage Domain Adaptation Network With Image Alignment for Unsupervised Nighttime Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(1). 58–72. 37 indexed citations
14.
Wu, Xinyi, Zhenyao Wu, Hao Guo, Lili Ju, & Song Wang. (2021). DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation. 15764–15773. 106 indexed citations
15.
Wu, Zhenyao, Xinyi Wu, Xiao–Ping Zhang, Song Wang, & Lili Ju. (2021). Learning Depth from Single Image Using Depth-Aware Convolution and Stereo Knowledge. 1–6.
16.
Wu, Xinyi, Zhenyao Wu, Lili Ju, & Song Wang. (2021). Binaural Audio-Visual Localization. Proceedings of the AAAI Conference on Artificial Intelligence. 35(4). 2961–2968. 17 indexed citations
17.
Yin, Hui, et al.. (2021). From Shadow Generation to Shadow Removal. 4925–4934. 74 indexed citations
18.
Wu, Xinyi, Zhenyao Wu, Jinglin Zhang, Lili Ju, & Song Wang. (2020). SalSAC: A Video Saliency Prediction Model with Shuffled Attentions and Correlation-Based ConvLSTM. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 12410–12417. 43 indexed citations
19.
Wu, Zhenyao, Xinyi Wu, Xiao–Ping Zhang, Song Wang, & Lili Ju. (2019). Semantic Stereo Matching With Pyramid Cost Volumes. 7483–7492. 85 indexed citations
20.
Wu, Xinyi, Zhenyao Wu, Yujun Zhang, Lili Ju, & Song Wang. (2019). Multi-Video Temporal Synchronization by Matching Pose Features of Shared Moving Subjects. 2729–2738. 4 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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