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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Blind quality estimator for 3D images based on binocular combination and extreme learning machine
Wujie Zhou, Lu Yu, Yang Zhou, et al.
Pattern Recognition (2017) Vol. 71, pp. 207-217
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Mixture correntropy for robust learning
Badong Chen, Xin Wang, Na Lü, et al.
Pattern Recognition (2018) Vol. 79, pp. 318-327
Closed Access | Times Cited: 166
Blind image quality prediction by exploiting multi-level deep representations
Fei Gao, Jun Yu, Suguo Zhu, et al.
Pattern Recognition (2018) Vol. 81, pp. 432-442
Closed Access | Times Cited: 117
A no-Reference Stereoscopic Image Quality Assessment Network Based on Binocular Interaction and Fusion Mechanisms
Jianwei Si, Baoxiang Huang, Huan Yang, et al.
IEEE Transactions on Image Processing (2022) Vol. 31, pp. 3066-3080
Closed Access | Times Cited: 29
2D and 3D Image Quality Assessment: A Survey of Metrics and Challenges
Yuzhen Niu, Yini Zhong, Wenzhong Guo, et al.
IEEE Access (2018) Vol. 7, pp. 782-801
Open Access | Times Cited: 50
No-Reference Stereoscopic Image Quality Assessment Using Convolutional Neural Network for Adaptive Feature Extraction
Yong Ding, Ruizhe Deng, Xin Xie, et al.
IEEE Access (2018) Vol. 6, pp. 37595-37603
Open Access | Times Cited: 41
CoDIQE3D: A completely blind, no-reference stereoscopic image quality estimator using joint color and depth statistics
Ajay Kumar Reddy Poreddy, Peter A. Kara, Roopak R. Tamboli, et al.
The Visual Computer (2023) Vol. 39, Iss. 12, pp. 6743-6753
Closed Access | Times Cited: 9
Blind quality index for tone-mapped images based on luminance partition
Pengfei Chen, Leida Li, Xinfeng Zhang, et al.
Pattern Recognition (2019) Vol. 89, pp. 108-118
Closed Access | Times Cited: 29
No-reference stereoscopic image quality assessment using a multi-task CNN and registered distortion representation
Yiqing Shi, Wen-Zhong Guo, Yuzhen Niu, et al.
Pattern Recognition (2019) Vol. 100, pp. 107168-107168
Closed Access | Times Cited: 27
No-reference stereoscopic image quality evaluator with segmented monocular features and perceptual binocular features
Yun Liu, Chang Tang, Zhi Zheng, et al.
Neurocomputing (2020) Vol. 405, pp. 126-137
Closed Access | Times Cited: 24
Viewport Perception Based Blind Stereoscopic Omnidirectional Image Quality Assessment
Yubin Qi, Gangyi Jiang, Mei Yu, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2020) Vol. 31, Iss. 10, pp. 3926-3941
Closed Access | Times Cited: 19
Jointly learning perceptually heterogeneous features for blind 3D video quality assessment
Yongfang Wang, Shuai Yuan, Yun Zhu, et al.
Neurocomputing (2018) Vol. 332, pp. 298-304
Closed Access | Times Cited: 18
Siamese-Network-Based Learning to Rank for No-Reference 2D and 3D Image Quality Assessment
Yuzhen Niu, Dong Huang, Yiqing Shi, et al.
IEEE Access (2019) Vol. 7, pp. 101583-101595
Open Access | Times Cited: 16
No-Reference Stereoscopic Image Quality Assessment Based on Visual Attention and Perception
Yafei Li, Yang Feng, Wenbo Wan, et al.
IEEE Access (2019) Vol. 7, pp. 46706-46716
Open Access | Times Cited: 15
Blind Stereoscopic Image Quality Assessment Accounting for Human Monocular Visual Properties and Binocular Interactions
Yun Liu, Weiqing Yan, Zhi Zheng, et al.
IEEE Access (2020) Vol. 8, pp. 33666-33678
Open Access | Times Cited: 13
Stereoscopic image quality assessment by analysing visual hierarchical structures and binocular effects
Yong Ding, Yang Zhao, Xiaohong Chen, et al.
IET Image Processing (2019) Vol. 13, Iss. 10, pp. 1608-1615
Closed Access | Times Cited: 10
Blind Stereo Image Quality Assessment Based on Binocular Visual Characteristics and Depth Perception
Yong Chen, Kaixin Zhu, Huanlin Liu
IEEE Access (2020) Vol. 8, pp. 85760-85771
Open Access | Times Cited: 10
Blind stereoscopic image quality assessment using 3D saliency selected binocular perception and 3D convolutional neural network
Chaofeng Li, Lixia Yun, Shoukun Xu
Multimedia Tools and Applications (2022) Vol. 81, Iss. 13, pp. 18437-18455
Closed Access | Times Cited: 6
No-reference stereoscopic image quality assessment guided by visual hierarchical structure and binocular effects
Yong Ding, Yang Zhao
Applied Optics (2018) Vol. 57, Iss. 10, pp. 2610-2610
Closed Access | Times Cited: 9
Toward a Quality Predictor for Stereoscopic Images via Analysis of Human Binocular Visual Perception
Yun Liu, Fanhui Kong, Zhizhuo Zhen
IEEE Access (2019) Vol. 7, pp. 69283-69291
Open Access | Times Cited: 9
Rich Structural Index for Stereoscopic Image Quality Assessment
Hua Zhang, Xinwen Hu, Ruoyun Gou, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 499-499
Open Access | Times Cited: 5
Multiple just-noticeable-difference-based no-reference stereoscopic image quality assessment
Zijin Gu, Yong Ding, Ruizhe Deng, et al.
Applied Optics (2019) Vol. 58, Iss. 2, pp. 340-340
Closed Access | Times Cited: 7
No-Reference Stereoscopic Image Quality Assessment Based on Convolutional Neural Network with A Long-Term Feature Fusion
Sumei Li, Mingyi Wang
2022 IEEE International Conference on Visual Communications and Image Processing (VCIP) (2020)
Closed Access | Times Cited: 7
A full‐reference stereoscopic image quality assessment index based on stable aggregation of monocular and binocular visual features
Jianwei Si, Huan Yang, Baoxiang Huang, et al.
IET Image Processing (2021) Vol. 15, Iss. 8, pp. 1629-1643
Open Access | Times Cited: 7
No-reference stereoscopic image quality assessment on both complex contourlet and spatial domain via Kernel ELM
Tuxin Guan, Chaofeng Li, Yuhui Zheng, et al.
Signal Processing Image Communication (2021) Vol. 101, pp. 116547-116547
Closed Access | Times Cited: 6
Coarse-to-Fine Feedback Guidance Based Stereo Image Quality Assessment Considering Dominant Eye Fusion
Yongli Chang, Sumei Li, Anqi Liu, et al.
IEEE Transactions on Multimedia (2023) Vol. 25, pp. 8855-8867
Closed Access | Times Cited: 2
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