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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:

Semisupervised Band Selection With Graph Optimization for Hyperspectral Image Classification
Fang He, Feiping Nie, Rong Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 12, pp. 10298-10311
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

SemiFREE: Semisupervised Feature Selection With Fuzzy Relevance and Redundancy
Keyu Liu, Tianrui Li, Xibei Yang, et al.
IEEE Transactions on Fuzzy Systems (2023) Vol. 31, Iss. 10, pp. 3384-3396
Closed Access | Times Cited: 32
Hyperspectral Band Selection with Unique Pixel Extraction and Adaptive Neighbor Clustering
Bing Han, Mingqing Liu, Zhenyu Ma, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 315-315
Open Access | Times Cited: 1
Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection
Yongshan Zhang, Xinxin Wang, Xinwei Jiang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-12
Closed Access | Times Cited: 49
Self-Supervised Deep Multi-Level Representation Learning Fusion-Based Maximum Entropy Subspace Clustering for Hyperspectral Band Selection
Yulei Wang, Haipeng Ma, Yuchao Yang, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 224-224
Open Access | Times Cited: 5
Fusion of circulant singular spectrum analysis and multiscale local ternary patterns for effective spectral-spatial feature extraction and small sample hyperspectral image classification
Xiaoqing Wan, Feng Chen, Weizhe Gao, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection
Yongshan Zhang, Xinxin Wang, Xinwei Jiang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-13
Closed Access | Times Cited: 20
Fuzzy-twin proximal SVM kernel-based deep learning neural network model for hyperspectral image classification
Sanaboina Leela Krishna, I. Jasmine Selvakumari Jeya, S. N. Deepa
Neural Computing and Applications (2022) Vol. 34, Iss. 21, pp. 19343-19376
Closed Access | Times Cited: 19
Feature-guided dynamic graph convolutional network for wetland hyperspectral image classification
Zhongwei Li, Qiao Meng, Fangming Guo, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 123, pp. 103485-103485
Open Access | Times Cited: 8
Sparse Principal Component Analysis and Adaptive Multigraph Learning for Hyperspectral Band Selection
Wenxian Zhang, Aihong Yuan, Jinglei Tang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 1419-1433
Open Access | Times Cited: 7
Multigraph approximate-representation learning for hyperspectral band selection
Qingyan Li, Xiaobo Luo, Yaxu Wang
International Journal of Remote Sensing (2024) Vol. 45, Iss. 3, pp. 889-910
Closed Access | Times Cited: 1
An Ensemble Semi-Supervised Adaptive Resonance Theory Model With Explanation Capability for Pattern Classification
Farhad Pourpanah, Chee Peng Lim, Ali Etemad, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 8, Iss. 1, pp. 814-827
Open Access | Times Cited: 4
A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images
Gülşen Taşkın, E. Fatih Yetkin, Gustau Camps‐Valls
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-13
Closed Access | Times Cited: 3
Joint Latent Space and Label Inference Estimation with Adaptive Fused Data and Label Graphs
A. Baradaaji, F. Dornaika
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 14, Iss. 4, pp. 1-25
Closed Access | Times Cited: 2
Band selection based on hyperspectral piling Fisher graphs (HSPFiGs) analysis
Yujuan Sun, Jihong Pei
Infrared Physics & Technology (2023) Vol. 133, pp. 104754-104754
Closed Access | Times Cited: 2
Graph Learning Based Autoencoder for Hyperspectral Band Selection
Yongshan Zhang, Xinxin Wang, Zhenyu Wang, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022), pp. 2794-2798
Closed Access | Times Cited: 3
Novel Data-Driven Spatial-Spectral Correlated Scheme for Dimensionality Reduction of Hyperspectral Images
Yan Ming Zhang, Ping Yuan, Lijun Jiang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 3877-3890
Open Access | Times Cited: 3
Deep data representation with feature propagation for semi-supervised learning
Fadi Dornaika, Vinh Truong Hoang
International Journal of Machine Learning and Cybernetics (2022) Vol. 14, Iss. 4, pp. 1303-1316
Closed Access | Times Cited: 3
Hierarchical band selection method based on scalability tree structure multilayer classification label and HSPFiGs(H-STS-HSPFiGs)
Yujuan Sun, Jihong Pei
Infrared Physics & Technology (2024) Vol. 137, pp. 105173-105173
Closed Access
Label Rectified and Graph Adaptive Semi-Supervised Regression for Electrode Shifted Gesture Recognition
Chengxi Zhu, Yong Peng, Yinfeng Fang, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 1896-1900
Closed Access
Deep Learning Network Optimization for Analysis and Classification of High Band Images
S. Manju, S. Shoba, Y. Rajesh Babu, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access
Agricultural Detection Using Spectral Adaptive Imaging Model
Yuning Wang, Fulin Xu, Yan Feng
(2024), pp. 1-6
Closed Access
Structural graph learning method for hyperspectral band selection
Shuying Li, Zhe Liu, Long Fang, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 18, pp. 6719-6743
Closed Access
Fewer interpretable bands via self-supervision for hyperspectral anomaly detection
Ruike Wang, Jing Hu
Neurocomputing (2024), pp. 128964-128964
Closed Access
Hyperspectral image band selection method combining the variation degree of salient features
Qingyan Li, Xiaobo Luo, Panpan Zhu, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 24, pp. 7627-7648
Closed Access | Times Cited: 1
Successive Clustering-Based Outlier Resistant Band Selection Method for Hyperspectral Images With Spatial Information Difference Metrics
Zhiyong Tian, Kun Gao, Xiaodian Zhang, et al.
IEEE Geoscience and Remote Sensing Letters (2022) Vol. 20, pp. 1-5
Closed Access | Times Cited: 2
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