Zhenyu Wu

1.5k total citations
74 papers, 680 citations indexed

About

Zhenyu Wu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Zhenyu Wu has authored 74 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 26 papers in Signal Processing and 8 papers in Artificial Intelligence. Recurrent topics in Zhenyu Wu's work include Advanced Data Compression Techniques (23 papers), Video Coding and Compression Technologies (15 papers) and Image and Signal Denoising Methods (13 papers). Zhenyu Wu is often cited by papers focused on Advanced Data Compression Techniques (23 papers), Video Coding and Compression Technologies (15 papers) and Image and Signal Denoising Methods (13 papers). Zhenyu Wu collaborates with scholars based in United States, China and Taiwan. Zhenyu Wu's co-authors include Jill M. Boyce, Michael W. Marcellin, Ali Bilgin, Sushil Jajodia, Xin Ruan, Haining Wang, Hongyang Yu, Chang Wen Chen, Zhangyang Wang and Zhiping Ying and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Computer.

In The Last Decade

Zhenyu Wu

67 papers receiving 659 citations

Peers

Zhenyu Wu
Chang‐Sung Jeong South Korea
Shahroz Tariq South Korea
Yimu Ji China
Mohammad Taghi Manzuri Iran
Lei Du China
Weimin Lei China
Mahua Bhattacharya India
Mostafa Azizi Morocco
Chang‐Sung Jeong South Korea
Zhenyu Wu
Citations per year, relative to Zhenyu Wu Zhenyu Wu (= 1×) peers Chang‐Sung Jeong

Countries citing papers authored by Zhenyu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenyu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenyu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenyu Wu. A scholar is included among the top collaborators of Zhenyu 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 Zhenyu Wu. Zhenyu 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.
Gao, Hongbo, Ming Zhao, Xiao Zheng, et al.. (2024). An improved hierarchical deep reinforcement learning algorithm for multi-intelligent vehicle lane change. Neurocomputing. 609. 128482–128482. 5 indexed citations
2.
Mo, You, et al.. (2024). Study on the Influence of Window Openings on Seismic Performance of Stone Walls of Tibetan and Qiang Dwellings. Buildings. 14(12). 3829–3829. 1 indexed citations
3.
Wu, Zhenyu, et al.. (2023). Attention Mechanism-Combined LSTM for Grain Yield Prediction in China Using Multi-Source Satellite Imagery. Sustainability. 15(12). 9210–9210. 6 indexed citations
4.
Wu, Zhenyu, et al.. (2023). OpenICL: An Open-Source Framework for In-context Learning. 489–498. 5 indexed citations
5.
Hu, Xiao, Zhenyu Wu, Junjie Liu, et al.. (2023). Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge. Computer. 56(8). 28–37.
6.
Wu, Zhenyu, et al.. (2023). Extraction of Pine Wilt Disease Regions Using UAV RGB Imagery and Improved Mask R-CNN Models Fused with ConvNeXt. Forests. 14(8). 1672–1672. 13 indexed citations
7.
Wu, Zhenyu, et al.. (2023). A multi-scale approach to detecting standing dead trees in UAV RGB images based on improved faster R-CNN. PLoS ONE. 18(2). e0281084–e0281084. 13 indexed citations
8.
Wu, Zhenyu, Zhou Ren, Yi Wu, Zhangyang Wang, & Gang Hua. (2022). TxVAD: Improved Video Action Detection by Transformers. Proceedings of the 30th ACM International Conference on Multimedia. 4605–4613. 2 indexed citations
9.
Ying, Zhiping, et al.. (2022). A modified-YOLOv5s model for detection of wire braided hose defects. Measurement. 190. 110683–110683. 55 indexed citations
10.
Huang, Pengcheng, Chiyuan Ma, & Zhenyu Wu. (2021). Fast Dynamic IR-Drop Prediction Using Machine Learning in Bulk FinFET Technologies. Symmetry. 13(10). 1807–1807. 4 indexed citations
11.
12.
Wu, Junru, et al.. (2018). Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions. International Conference on Machine Learning. 5359–5368. 6 indexed citations
13.
Wu, Zhenyu, et al.. (2016). Reconstruction-based no-reference video quality assessment. 24. 3075–3078. 1 indexed citations
14.
Wu, Zhenyu, et al.. (2012). Adaptive Initial Quantization Parameter Determination for H.264/AVC Video Transcoding. IEEE Transactions on Broadcasting. 58(2). 277–284. 11 indexed citations
15.
Wu, Zhenyu, et al.. (2010). Video transcoding to support random access in scalable video coding. 6(2). 33–46. 1 indexed citations
16.
Wu, Zhenyu & Kang Li. (2009). Issues about the nocebo phenomena in clinics.. PubMed. 122(9). 1102–6. 3 indexed citations
17.
Wu, Zhenyu & Jill M. Boyce. (2007). Adaptive Error Resilient Video Coding Based on Redundant Slices of H.264/AVC. 2138–2141. 5 indexed citations
18.
Wu, Zhenyu, et al.. (2006). Performance Evaluation of Transcoding Algorithms for MPEG-2 to AVS-P2. 643–646. 1 indexed citations
19.
Wu, Zhenyu, et al.. (2004). LDPC-BASED ITERATIVE JOINT SOURCE/CHANNEL DECODING SCHEME FOR JPEG2000. UA Campus Repository (The University of Arizona). 1 indexed citations
20.
Bilgin, Ali, Zhenyu Wu, & Michael W. Marcellin. (2003). Transmission of JPEG2000 codestreams over packet erasure channels. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5022. 800–800. 1 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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