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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:

Hyperspectral band selection via region-aware latent features fusion based clustering
Jun Wang, Chang Tang, Zhenglai Li, et al.
Information Fusion (2021) Vol. 79, pp. 162-173
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution
Yi Xiao, Qiangqiang Yuan, Kui Jiang, et al.
Information Fusion (2023) Vol. 96, pp. 297-311
Closed Access | Times Cited: 151
Learnable graph convolutional network and feature fusion for multi-view learning
Zhaoliang Chen, Lele Fu, Jie Yao, et al.
Information Fusion (2023) Vol. 95, pp. 109-119
Open Access | Times Cited: 110
Collaborative structure and feature learning for multi-view clustering
Weiqing Yan, Meiqi Gu, Jinlai Ren, et al.
Information Fusion (2023) Vol. 98, pp. 101832-101832
Closed Access | Times Cited: 49
Spectral super-resolution meets deep learning: Achievements and challenges
Jiang He, Qiangqiang Yuan, Jie Li, et al.
Information Fusion (2023) Vol. 97, pp. 101812-101812
Open Access | Times Cited: 43
Multi-view learning for hyperspectral image classification: An overview
Xuefei Li, Baodi Liu, Kai Zhang, et al.
Neurocomputing (2022) Vol. 500, pp. 499-517
Closed Access | Times Cited: 40
Spatial and Spectral Structure Preserved Self-Representation for Unsupervised Hyperspectral Band Selection
Chang Tang, Jun Wang, Xiao Zheng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-13
Closed Access | Times Cited: 38
Multi-view subspace clustering via adaptive graph learning and late fusion alignment
Chuan Yi Tang, Kun Sun, Chang Tang, et al.
Neural Networks (2023) Vol. 165, pp. 333-343
Closed Access | Times Cited: 30
Multi-Objective Unsupervised Band Selection Method for Hyperspectral Images Classification
Xianfeng Ou, Meng Wu, Bing Tu, et al.
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 1952-1965
Closed Access | Times Cited: 27
An Unsupervised Momentum Contrastive Learning Based Transformer Network for Hyperspectral Target Detection
Yulei Wang, Xi Chen, Enyu Zhao, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 9053-9068
Open Access | Times Cited: 11
LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image Classification
Judy X Yang, Jun Zhou, Jing Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Open Access | Times Cited: 10
Superpixel guided spectral-spatial feature extraction and weighted feature fusion for hyperspectral image classification with limited training samples
Yao Li, Liyi Zhang, Lei Chen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection
Jun Wang, Chang Tang, Xinwang Liu, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 8, pp. 5250-5263
Closed Access | Times Cited: 29
One step multi-view spectral clustering via joint adaptive graph learning and matrix factorization
Wenqi Yang, Yansu Wang, Chang Tang, et al.
Neurocomputing (2022) Vol. 524, pp. 95-105
Closed Access | Times Cited: 29
Inclusivity induced adaptive graph learning for multi-view clustering
Xin Zou, Chang Tang, Xiao Zheng, et al.
Knowledge-Based Systems (2023) Vol. 267, pp. 110424-110424
Closed Access | Times Cited: 19
UNTIE: Clustering analysis with disentanglement in multi-view information fusion
Jie Xu, Yazhou Ren, Xiaoshuang Shi, et al.
Information Fusion (2023) Vol. 100, pp. 101937-101937
Closed Access | Times Cited: 19
SARF: Aliasing Relation–Assisted Self-Supervised Learning for Few-Shot Relation Reasoning
Lingyuan Meng, Ke Liang, Bin Xiao, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 3587-3597
Open Access | Times Cited: 8
Multi-view clustering via high-order bipartite graph fusion
Zihua Zhao, Ting Wang, Haonan Xin, et al.
Information Fusion (2024) Vol. 113, pp. 102630-102630
Closed Access | Times Cited: 8
Hyperspectral band selection via region-wise latent feature fusion and graph filter embedded subspace clustering
Wei Feng, Minhui Wang, Chang Tang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107911-107911
Closed Access | Times Cited: 7
Dimensionality reduction strategies for land use land cover classification based on airborne hyperspectral imagery: a survey
Mohammed Abdulmajeed Moharram, Divya Meena Sundaram
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 3, pp. 5580-5602
Closed Access | Times Cited: 28
Graph regularized spatial–spectral subspace clustering for hyperspectral band selection
Jun Wang, Chang Tang, Xiao Zheng, et al.
Neural Networks (2022) Vol. 153, pp. 292-302
Closed Access | Times Cited: 26
Land-cover classification with hyperspectral remote sensing image using CNN and spectral band selection
Arun Solomon A, S. Akila Agnes
Remote Sensing Applications Society and Environment (2023) Vol. 31, pp. 100986-100986
Closed Access | Times Cited: 12
Fast Approximated Multiple Kernel K-means
Jun Wang, Chang Tang, Xiao Zheng, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 11, pp. 6171-6180
Closed Access | Times Cited: 10
Hyperspectral Imaging and Deep Learning for Quality and Safety Inspection of Fruits and Vegetables: A Review
Yang Chen, Zhiming Guo, Douglas Fernandes Barbin, et al.
Journal of Agricultural and Food Chemistry (2025)
Closed Access
A Band Selection Approach for Hyperspectral Image Based on a Modified Hybrid Rice Optimization Algorithm
Zhiwei Ye, Wenhui Cai, Shiqin Liu, et al.
Symmetry (2022) Vol. 14, Iss. 7, pp. 1293-1293
Open Access | Times Cited: 16
Unsupervised band selection of medical hyperspectral images guided by data gravitation and weak correlation
Chenglong Zhang, Zhimin Zhang, Dexin Yu, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 240, pp. 107721-107721
Closed Access | Times Cited: 9
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