Yuzhen Niu

3.2k total citations
117 papers, 2.2k citations indexed

About

Yuzhen Niu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience. According to data from OpenAlex, Yuzhen Niu has authored 117 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Computer Vision and Pattern Recognition, 28 papers in Media Technology and 11 papers in Cognitive Neuroscience. Recurrent topics in Yuzhen Niu's work include Visual Attention and Saliency Detection (38 papers), Advanced Image and Video Retrieval Techniques (30 papers) and Advanced Vision and Imaging (26 papers). Yuzhen Niu is often cited by papers focused on Visual Attention and Saliency Detection (38 papers), Advanced Image and Video Retrieval Techniques (30 papers) and Advanced Vision and Imaging (26 papers). Yuzhen Niu collaborates with scholars based in China, United States and Taiwan. Yuzhen Niu's co-authors include Wenzhong Guo, Feng Liu, Xueqing Li, Guolong Chen, Xiao Ke, Long Mai, Genggeng Liu, Wenxi Liu, Xing Huang and Yueming Gao and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Frontiers in Microbiology.

In The Last Decade

Yuzhen Niu

106 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuzhen Niu China 26 1.5k 327 266 246 234 117 2.2k
Liang-Tien Chia Singapore 23 1.7k 1.2× 319 1.0× 511 1.9× 119 0.5× 57 0.2× 106 2.3k
Qianqian Xu China 19 1.2k 0.8× 322 1.0× 498 1.9× 103 0.4× 82 0.4× 119 1.8k
Yufei Ma China 20 3.0k 2.1× 140 0.4× 535 2.0× 143 0.6× 1.1k 4.5× 70 3.6k
Neil D. B. Bruce Canada 19 1.8k 1.2× 202 0.6× 289 1.1× 707 2.9× 100 0.4× 63 2.5k
Nam Ling United States 30 2.1k 1.4× 348 1.1× 158 0.6× 49 0.2× 149 0.6× 238 2.4k
Dacheng Tao Australia 24 2.1k 1.5× 308 0.9× 921 3.5× 61 0.2× 126 0.5× 54 2.9k
Bogdan Alexe United States 14 1.5k 1.0× 146 0.4× 644 2.4× 75 0.3× 30 0.1× 29 2.0k
Henry A. Rowley United States 19 4.0k 2.7× 471 1.4× 761 2.9× 147 0.6× 153 0.7× 31 4.6k
Xiangqian Wu China 26 1.8k 1.2× 254 0.8× 295 1.1× 110 0.4× 33 0.1× 85 2.6k
Marco Carli Italy 23 2.6k 1.8× 994 3.0× 146 0.5× 129 0.5× 127 0.5× 182 3.2k

Countries citing papers authored by Yuzhen Niu

Since Specialization
Citations

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

Fields of papers citing papers by Yuzhen Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuzhen Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuzhen Niu. A scholar is included among the top collaborators of Yuzhen Niu 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 Yuzhen Niu. Yuzhen Niu 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, Junyi, Yan Huang, Min Gao, et al.. (2025). Learning Comprehensive Representation via Selective Activation and Dual-Level Orthogonality for Pedestrian Attribute Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 35(8). 8225–8239. 2 indexed citations
2.
Wu, Junyi, Yan Huang, Min Gao, et al.. (2025). High-order diversity feature learning for pedestrian attribute recognition. Neural Networks. 188. 107463–107463. 1 indexed citations
3.
Wu, Junyi, Yan Huang, Min Gao, et al.. (2025). Rethinking attention mechanism for enhanced pedestrian attribute recognition. Neurocomputing. 639. 130236–130236. 1 indexed citations
4.
5.
Niu, Yuzhen, et al.. (2025). Collaboratively enhanced and integrated detail-context information for low-light image enhancement. Pattern Recognition. 162. 111424–111424.
6.
7.
Niu, Yuzhen, et al.. (2024). Parallax-aware dual-view feature enhancement and adaptive detail compensation for dual-pixel defocus deblurring. Engineering Applications of Artificial Intelligence. 139. 109612–109612.
8.
Li, Yuezhou, et al.. (2024). Perceptual Decoupling With Heterogeneous Auxiliary Tasks for Joint Low-Light Image Enhancement and Deblurring. IEEE Transactions on Multimedia. 26. 6663–6675. 6 indexed citations
9.
Li, Yuezhou, et al.. (2024). Bilateral Interaction for Local-Global Collaborative Perception in Low-Light Image Enhancement. IEEE Transactions on Multimedia. 26. 10792–10804. 3 indexed citations
10.
Jiang, Nanfeng, et al.. (2023). HCSD-Net: Single Image Desnowing with Color Space Transformation. 8125–8133. 4 indexed citations
11.
Chen, Junhao & Yuzhen Niu. (2023). Two-stream network with viewport selection for blind omnidirectional video quality assessment. Multimedia Tools and Applications. 83(4). 12139–12157. 1 indexed citations
12.
13.
Niu, Yuzhen, Jianbin Wu, Wenxi Liu, Wenzhong Guo, & Rynson W. H. Lau. (2021). HDR-GAN: HDR Image Reconstruction From Multi-Exposed LDR Images With Large Motions. IEEE Transactions on Image Processing. 30. 3885–3896. 120 indexed citations
14.
Jiang, Nanfeng, et al.. (2020). Single image reflection removal based on structure-texture layering. Signal Processing Image Communication. 86. 115868–115868. 5 indexed citations
15.
Niu, Yuzhen, et al.. (2018). Region-Aware Image Denoising by Exploring Parameter Preference. IEEE Transactions on Circuits and Systems for Video Technology. 28(9). 2433–2438. 14 indexed citations
16.
Liu, Genggeng, Xing Huang, Wenzhong Guo, Yuzhen Niu, & Guolong Chen. (2014). Multilayer Obstacle-Avoiding X-Architecture Steiner Minimal Tree Construction Based on Particle Swarm Optimization. IEEE Transactions on Cybernetics. 45(5). 1003–1016. 73 indexed citations
17.
Lai, Yu‐Chi, et al.. (2013). Geometry-shader-based real-time voxelization and applications. The Visual Computer. 30(3). 327–340. 6 indexed citations
18.
Niu, Yuzhen & Feng Liu. (2012). What Makes a Professional Video? A Computational Aesthetics Approach. IEEE Transactions on Circuits and Systems for Video Technology. 22(7). 1037–1049. 42 indexed citations
19.
Li, Xueqing, et al.. (2011). A MDA-based Campus Data Analysis and Visualization Framework. 2(10). 118–121. 1 indexed citations
20.
Liu, Feng, Yuzhen Niu, & Michael Gleicher. (2009). Using web photos for measuring video frame interestingness. International Joint Conference on Artificial Intelligence. 2058–2063. 16 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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