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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:

Deep Spatial-Spectral Subspace Clustering for Hyperspectral Images Based on Contrastive Learning
Xiang Hu, Teng Li, Tong Zhou, et al.
Remote Sensing (2021) Vol. 13, Iss. 21, pp. 4418-4418
Open Access | Times Cited: 23

Showing 23 citing articles:

Self-Supervised Learning in Remote Sensing: A review
Yi Wang, Conrad M Albrecht, Nassim Ait Ali Braham, et al.
IEEE Geoscience and Remote Sensing Magazine (2022) Vol. 10, Iss. 4, pp. 213-247
Open Access | Times Cited: 151
Self-Supervised Remote Sensing Feature Learning: Learning Paradigms, Challenges, and Future Works
Chao Tao, Ji Qi, Mingning Guo, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-26
Open Access | Times Cited: 47
Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-13
Closed Access | Times Cited: 31
A Hyperspectral Image Change Detection Framework With Self-Supervised Contrastive Learning Pretrained Model
Xianfeng Ou, Liangzhen Liu, Shulun Tan, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 7724-7740
Open Access | Times Cited: 28
Pseudolabel-Based Unreliable Sample Learning for Semi-Supervised Hyperspectral Image Classification
Huaxiong Yao, Renyi Chen, Wenjing Chen, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-16
Closed Access | Times Cited: 20
A Survey on High-Dimensional Subspace Clustering
Wentao Qu, Xianchao Xiu, Huangyue Chen, et al.
Mathematics (2023) Vol. 11, Iss. 2, pp. 436-436
Open Access | Times Cited: 16
Bipartite Graph-based Projected Clustering with Local Region Guidance for Hyperspectral Imagery
Yongshan Zhang, Guozhu Jiang, Zhihua Cai, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 9551-9563
Closed Access | Times Cited: 7
Spatial and Cluster Structural Prior-Guided Subspace Clustering for Hyperspectral Image
Shaoguang Huang, Haijin Zeng, Hongyu Chen, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Closed Access | Times Cited: 6
Discriminative feature constraints via supervised contrastive learning for few-shot forest tree species classification using airborne hyperspectral images
Long Chen, Wu Jing, Yifan Xie, et al.
Remote Sensing of Environment (2023) Vol. 295, pp. 113710-113710
Closed Access | Times Cited: 14
Self-Supervised Spectral–Spatial Graph Prototypical Network for Few-Shot Hyperspectral Image Classification
Shan Ma, Lei Tong, Jun Zhou, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-15
Closed Access | Times Cited: 11
Deep learning techniques for the exploration of hyperspectral imagery potentials in food and agricultural products
Abdulwahab Ismail Durojaiye, Samuel Tunde Olorunsogo, Bolanle Adenike Adejumo, et al.
Food and Humanity (2024) Vol. 3, pp. 100365-100365
Closed Access | Times Cited: 4
MAGE: Multisource Attention Network With Discriminative Graph and Informative Entities for Classification of Hyperspectral and LiDAR Data
Di Xiu, Zongxu Pan, Yirong Wu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-14
Closed Access | Times Cited: 18
Deep Mutual Information Subspace Clustering Network for Hyperspectral Images
Tiancong Li, Yaoming Cai, Yongshan Zhang, et al.
IEEE Geoscience and Remote Sensing Letters (2022) Vol. 19, pp. 1-5
Closed Access | Times Cited: 11
Masked Spectral–Spatial Feature Prediction for Hyperspectral Image Classification
Feng Zhou, Chao Xu, Guowei Yang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 62, pp. 1-13
Closed Access | Times Cited: 5
From Model-Based Optimization Algorithms to Deep Learning Models for Clustering Hyperspectral Images
Shaoguang Huang, Hongyan Zhang, Haijin Zeng, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2832-2832
Open Access | Times Cited: 3
Automatic Clustering of Hyperspectral Images Using Quantum Reptile Search Algorithm
Tulika Dutta, Siddhartha Bhattacharyya, Bijaya Ketan Panigrahi, et al.
Smart innovation, systems and technologies (2023), pp. 653-664
Closed Access | Times Cited: 2
A Neural Network-Based Spectral Approach for the Assignment of Individual Trees to Genetically Differentiated Subpopulations
Carlos Maldonado, Freddy Mora, Cristián Echeverría, et al.
Remote Sensing (2022) Vol. 14, Iss. 12, pp. 2898-2898
Open Access | Times Cited: 4
Contrastive Learning for Regression on Hyperspectral Data
Mohamad Dhaini, Maxime Bérar, Paul Honeiné, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 5080-5084
Open Access
Machine learning–assisted multispectral and hyperspectral imaging
Seung-Chul Yoon, Nader Ekramirad
Elsevier eBooks (2024), pp. 227-258
Closed Access
Improving Mapping Accuracy of Smallholder Potato Planting Areas by Embedding Prior Knowledge into a Novel Multi-temporal Deep Learning Network
Sen Yang, Quan Feng, Xueze Gao, et al.
Potato Research (2024)
Closed Access
EMVCC: Enhanced Multi-View Contrastive Clustering for Hyperspectral Images
Fulin Luo, Yi Liu, Xiuwen Gong, et al.
(2024), pp. 6288-6296
Closed Access
Improved Prototypical Network Model for Classification of Farmland Shelterbelt Using Sentinel-2 Imagery
Yueting Wang, Qiangzi Li, Hongyan Wang, et al.
Forests (2024) Vol. 15, Iss. 11, pp. 1995-1995
Open Access
Model-Aware Deep Learning for the Clustering of Hyperspectral Images with Context Preservation
Xianlu Li, Nicolas Nadisic, Shaoguang Huang, et al.
(2023), pp. 885-889
Open Access
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