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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:

Binocular Responses for No-Reference 3D Image Quality Assessment
Wujie Zhou, Lu Yu
IEEE Transactions on Multimedia (2016) Vol. 18, Iss. 6, pp. 1077-1084
Closed Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Perceptual image quality assessment: a survey
Guangtao Zhai, Xiongkuo Min
Science China Information Sciences (2020) Vol. 63, Iss. 11
Closed Access | Times Cited: 489
Predicting the Perceptual Quality of Point Cloud: A 3D-to-2D Projection-Based Exploration
Qi Yang, Hao Chen, Zhan Ma, et al.
IEEE Transactions on Multimedia (2020) Vol. 23, pp. 3877-3891
Closed Access | Times Cited: 158
MTANet: Multitask-Aware Network With Hierarchical Multimodal Fusion for RGB-T Urban Scene Understanding
Wujie Zhou, Shaohua Dong, Jingsheng Lei, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 8, Iss. 1, pp. 48-58
Closed Access | Times Cited: 69
A review on machine learning forecasting growth trends and their real-time applications in different energy systems
Tanveer Ahmad, Huanxin Chen
Sustainable Cities and Society (2019) Vol. 54, pp. 102010-102010
Closed Access | Times Cited: 141
Unified No-Reference Quality Assessment of Singly and Multiply Distorted Stereoscopic Images
Qiuping Jiang, Feng Shao, Wei Gao, et al.
IEEE Transactions on Image Processing (2018) Vol. 28, Iss. 4, pp. 1866-1881
Closed Access | Times Cited: 139
No-Reference and Robust Image Sharpness Evaluation Based on Multiscale Spatial and Spectral Features
Leida Li, Wenhan Xia, Weisi Lin, et al.
IEEE Transactions on Multimedia (2016) Vol. 19, Iss. 5, pp. 1030-1040
Closed Access | Times Cited: 135
APNet: Adversarial Learning Assistance and Perceived Importance Fusion Network for All-Day RGB-T Salient Object Detection
Wujie Zhou, Yun Zhu, Jingsheng Lei, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2021) Vol. 6, Iss. 4, pp. 957-968
Closed Access | Times Cited: 77
HFNet: Hierarchical feedback network with multilevel atrous spatial pyramid pooling for RGB-D saliency detection
Wujie Zhou, Chang Liu, Jingsheng Lei, et al.
Neurocomputing (2021) Vol. 490, pp. 347-357
Closed Access | Times Cited: 57
Local gradient patterns (LGP): An effective local-statistical-feature extraction scheme for no-reference image quality assessment
Wujie Zhou, Lu Yu, Weiwei Qiu, et al.
Information Sciences (2017) Vol. 397-398, pp. 1-14
Closed Access | Times Cited: 63
Learning the Traditional Art of Chinese Calligraphy via Three-Dimensional Reconstruction and Assessment
Muwei Jian, Junyu Dong, Maoguo Gong, et al.
IEEE Transactions on Multimedia (2019) Vol. 22, Iss. 4, pp. 970-979
Open Access | Times Cited: 55
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
Blind Image Quality Assessment Based on Rank-Order Regularized Regression
Qingbo Wu, Hongliang Li, Zhou Wang, et al.
IEEE Transactions on Multimedia (2017) Vol. 19, Iss. 11, pp. 2490-2504
Closed Access | Times Cited: 57
A Novel Just-Noticeable-Difference-Based Saliency-Channel Attention Residual Network for Full-Reference Image Quality Predictions
Soomin Seo, Sehwan Ki, Munchurl Kim
IEEE Transactions on Circuits and Systems for Video Technology (2020) Vol. 31, Iss. 7, pp. 2602-2616
Open Access | Times Cited: 44
No-reference stereoscopic image quality assessment based on global and local content characteristics
Lili Shen, Xiongfei Chen, Zhaoqing Pan, et al.
Neurocomputing (2020) Vol. 424, pp. 132-142
Closed Access | Times Cited: 40
Utilizing Dictionary Learning and Machine Learning for Blind Quality Assessment of 3-D Images
Wujie Zhou, Weiwei Qiu, Ming‐Wei Wu
IEEE Transactions on Broadcasting (2017) Vol. 63, Iss. 2, pp. 404-415
Closed Access | Times Cited: 45
Stereoscopic image quality assessment by deep convolutional neural network
Yuming Fang, Jiebin Yan, Xuelin Liu, et al.
Journal of Visual Communication and Image Representation (2018) Vol. 58, pp. 400-406
Closed Access | Times Cited: 39
Blind stereoscopic 3D image quality assessment via analysis of naturalness, structure, and binocular asymmetry
Guanghui Yue, Chunping Hou, Qiuping Jiang, et al.
Signal Processing (2018) Vol. 150, pp. 204-214
Closed Access | Times Cited: 38
Predicting Stereoscopic Image Quality via Stacked Auto-Encoders Based on Stereopsis Formation
Jiachen Yang, Kyohoon Sim, Wen Lu, et al.
IEEE Transactions on Multimedia (2018) Vol. 21, Iss. 7, pp. 1750-1761
Closed Access | Times Cited: 38
Blind Binocular Visual Quality Predictor Using Deep Fusion Network
Wujie Zhou, Jingsheng Lei, Qiuping Jiang, et al.
IEEE Transactions on Computational Imaging (2020) Vol. 6, pp. 883-893
Closed Access | Times Cited: 36
Blind Stereoscopic Image Quality Evaluator Based on Binocular Semantic and Quality Channels
Kyohoon Sim, Jiachen Yang, Wen Lu, et al.
IEEE Transactions on Multimedia (2021) Vol. 24, pp. 1389-1398
Closed Access | Times Cited: 31
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
Blind Stereoscopic Image Quality Assessment Based on Hierarchical Learning
Tsung-Jung Liu, Ching-Ti Lin, Hsin‐Hua Liu, et al.
IEEE Access (2019) Vol. 7, pp. 8058-8069
Open Access | Times Cited: 34
Blind 3D image quality assessment based on self-similarity of binocular features
Wujie Zhou, Shuangshuang Zhang, Ting Pan, et al.
Neurocomputing (2016) Vol. 224, pp. 128-134
Closed Access | Times Cited: 31
Blind assessment for stereo images considering binocular characteristics and deep perception map based on deep belief network
Jiachen Yang, Yang Zhao, Yinghao Zhu, et al.
Information Sciences (2018) Vol. 474, pp. 1-17
Open Access | Times Cited: 30
Learning a referenceless stereopair quality engine with deep nonnegativity constrained sparse autoencoder
Qiuping Jiang, Feng Shao, Weisi Lin, et al.
Pattern Recognition (2017) Vol. 76, pp. 242-255
Closed Access | Times Cited: 29
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