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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:

Low-rank group inspired dictionary learning for hyperspectral image classification
Zhi He, Lin Liu, Ruru Deng, et al.
Signal Processing (2015) Vol. 120, pp. 209-221
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification
Qi Wang, Xiang He, Xuelong Li
IEEE Transactions on Geoscience and Remote Sensing (2018) Vol. 57, Iss. 2, pp. 911-923
Open Access | Times Cited: 126
Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification
Xiangyong Cao, Lin Xu, Deyu Meng, et al.
Neurocomputing (2016) Vol. 226, pp. 90-100
Closed Access | Times Cited: 101
Structure tensor total variation-regularized weighted nuclear norm minimization for hyperspectral image mixed denoising
Zhaojun Wu, Qiang Wang, Jing Jin, et al.
Signal Processing (2016) Vol. 131, pp. 202-219
Closed Access | Times Cited: 85
Cube-CNN-SVM: A Novel Hyperspectral Image Classification Method
Jiabing Leng, Tao Li, Gang Bai, et al.
(2016), pp. 1027-1034
Closed Access | Times Cited: 74
Low rank constraint and spatial spectral total variation for hyperspectral image mixed denoising
Qiang Wang, Zhaojun Wu, Jing Jin, et al.
Signal Processing (2017) Vol. 142, pp. 11-26
Closed Access | Times Cited: 62
Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification
Jing Yao, Xiangyong Cao, Danfeng Hong, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-15
Closed Access | Times Cited: 34
Hyperspectral Image Mixed Noise Removal Based on Multidirectional Low-Rank Modeling and Spatial–Spectral Total Variation
Minghua Wang, Qiang Wang, Jocelyn Chanussot, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 1, pp. 488-507
Closed Access | Times Cited: 40
Spectral-Difference Low-Rank Representation Learning for Hyperspectral Anomaly Detection
Xiangrong Zhang, Xiaoxiao Ma, Ning Huyan, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 59, Iss. 12, pp. 10364-10377
Closed Access | Times Cited: 32
Consistent adaptive sequential dictionary learning
Abd‐Krim Seghouane, Asif Iqbal
Signal Processing (2018) Vol. 153, pp. 300-310
Closed Access | Times Cited: 32
Exponential Weighted Random Forest for Hyperspectral Image Classification
Vikas Jain, Ashish Phophalia
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2019), pp. 3297-3300
Closed Access | Times Cited: 24
A novel multi-layer discriminative dictionary learning approach for image classification
Dandan Zhao, Peng Zhang, Hongpeng Yin, et al.
Signal Processing (2024) Vol. 226, pp. 109670-109670
Closed Access | Times Cited: 2
Low-rank tensor learning for classification of hyperspectral image with limited labeled samples
Zhi He, Jie Hu, Yiwen Wang
Signal Processing (2017) Vol. 145, pp. 12-25
Closed Access | Times Cited: 23
A sparse tensor-based classification method of hyperspectral image
Fengshuang Liu, Qiang Wang
Signal Processing (2019) Vol. 168, pp. 107361-107361
Closed Access | Times Cited: 21
Hyperspectral image classification based on sparse modeling of spectral blocks
Saeideh Ghanbari Azar, Saeed Meshgini, Tohid Yousefi Rezaii, et al.
Neurocomputing (2020) Vol. 407, pp. 12-23
Open Access | Times Cited: 19
Diagonalized Low-Rank Learning for Hyperspectral Image Classification
Changda Xing, Meiling Wang, Zhisheng Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-12
Closed Access | Times Cited: 14
Hyperspectral image classification using Non-negative Tensor Factorization and 3D Convolutional Neural Networks
Sayeh Mirzaei, Hugo Van hamme, Shima Khosravani
Signal Processing Image Communication (2019) Vol. 76, pp. 178-185
Open Access | Times Cited: 17
Bipartite Graph Partition Based Coclustering With Joint Sparsity for Hyperspectral Images
Nan Huang, Liang Xiao, Yang Xu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2019) Vol. 12, Iss. 12, pp. 4698-4711
Closed Access | Times Cited: 13
Adaptive complex-valued dictionary learning: Application to fMRI data analysis
Asif Iqbal, Mohamed Nait Meziane, Abd‐Krim Seghouane, et al.
Signal Processing (2019) Vol. 166, pp. 107263-107263
Closed Access | Times Cited: 12
Hyperspectral classification employing spatial–spectral low rank representation in hidden fields
Le Sun, Shunfeng Wang, Wang Jin, et al.
Journal of Ambient Intelligence and Humanized Computing (2017) Vol. 15, Iss. 2, pp. 1505-1516
Closed Access | Times Cited: 11
Learning Structured Sparse Representations for Voice Conversion
Shaojin Ding, Guanlong Zhao, Christopher Liberatore, et al.
IEEE/ACM Transactions on Audio Speech and Language Processing (2019) Vol. 28, pp. 343-354
Open Access | Times Cited: 11
MTFC: A Multi-GPU Training Framework for Cube-CNN-Based Hyperspectral Image Classification
Ye Lu, Kunpeng Xie, Guanbin Xu, et al.
IEEE Transactions on Emerging Topics in Computing (2020) Vol. 9, Iss. 4, pp. 1738-1752
Closed Access | Times Cited: 11
Binary feature learning with local spectral context-aware attention for classification of hyperspectral images
Changda Xing, Chaowei Duan, Zhisheng Wang, et al.
Pattern Recognition (2022) Vol. 134, pp. 109123-109123
Closed Access | Times Cited: 7
Supervised spatio-spectral classification of fused images using superpixels
Karen Sanchez, Carlos Hinojosa, Henry Argüello
Applied Optics (2019) Vol. 58, Iss. 7, pp. B9-B9
Closed Access | Times Cited: 10
An Encoder–Decoder Convolution Network With Fine-Grained Spatial Information for Hyperspectral Images Classification
Zhongwei Li, Fangming Guo, Qi Li, et al.
IEEE Access (2020) Vol. 8, pp. 33600-33608
Open Access | Times Cited: 9
Hyperspectral image classification using K-plane clustering and kernel principal component analysis
Sayeh Mirzaei
Multimedia Tools and Applications (2023) Vol. 82, Iss. 30, pp. 47387-47403
Closed Access | Times Cited: 3
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