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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 learning classifiers for hyperspectral imaging: A review
Mercedes E. Paoletti, Juan M. Haut, Javier Plaza, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 158, pp. 279-317
Open Access | Times Cited: 798

Showing 26-50 of 798 citing articles:

Ghostnet for Hyperspectral Image Classification
Mercedes E. Paoletti, Juan M. Haut, Nuno Pereira, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 59, Iss. 12, pp. 10378-10393
Closed Access | Times Cited: 106
Deep learning for near-infrared spectral data modelling: Hypes and benefits
Puneet Mishra, Dário Passos, Federico Marini, et al.
TrAC Trends in Analytical Chemistry (2022) Vol. 157, pp. 116804-116804
Open Access | Times Cited: 105
Hyperspectral Imaging for Clinical Applications
Jonghee Yoon
BioChip Journal (2022) Vol. 16, Iss. 1, pp. 1-12
Open Access | Times Cited: 95
Few-Shot Learning With Class-Covariance Metric for Hyperspectral Image Classification
Bobo Xi, Jiaojiao Li, Yunsong Li, et al.
IEEE Transactions on Image Processing (2022) Vol. 31, pp. 5079-5092
Closed Access | Times Cited: 84
A review on the combination of deep learning techniques with proximal hyperspectral images in agriculture
Jayme Garcia Arnal Barbedo
Computers and Electronics in Agriculture (2023) Vol. 210, pp. 107920-107920
Closed Access | Times Cited: 68
Conventional to Deep Ensemble Methods for Hyperspectral Image Classification: A Comprehensive Survey
Farhan Ullah, Irfan Ullah, Rehan Ullah Khan, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 3878-3916
Open Access | Times Cited: 40
An extensive review of hyperspectral image classification and prediction: techniques and challenges
Ganji Tejasree, L. Agilandeeswari
Multimedia Tools and Applications (2024) Vol. 83, Iss. 34, pp. 80941-81038
Closed Access | Times Cited: 38
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification
Yapeng Li, Yong Luo, Lefei Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-16
Closed Access | Times Cited: 34
Deep learning for urban land use category classification: A review and experimental assessment
Ziming Li, Бин Чэн, Shengbiao Wu, et al.
Remote Sensing of Environment (2024) Vol. 311, pp. 114290-114290
Open Access | Times Cited: 31
A review on hyperspectral imagery application for lithological mapping and mineral prospecting: Machine learning techniques and future prospects
Soufiane Hajaj, Abderrazak El Harti, Amin Beiranvand Pour, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101218-101218
Closed Access | Times Cited: 29
Multiscale 3-D–2-D Mixed CNN and Lightweight Attention-Free Transformer for Hyperspectral and LiDAR Classification
Le Sun, Xinyu Wang, Yuhui Zheng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-16
Closed Access | Times Cited: 24
Spectral-Spatial Mamba for Hyperspectral Image Classification
Lingbo Huang, Yushi Chen, Xin He
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2449-2449
Open Access | Times Cited: 21
Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial–Spectral Attention Network
Xu Tang, Fanbo Meng, Xiangrong Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 3, pp. 2430-2447
Closed Access | Times Cited: 125
Underwater Acoustic Target Classification Based on Dense Convolutional Neural Network
Van‐Sang Doan, Thien Huynh‐The, Dong‐Seong Kim
IEEE Geoscience and Remote Sensing Letters (2020) Vol. 19, pp. 1-5
Closed Access | Times Cited: 110
Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion
Li Jun, Zhaocong Wu, Zhongwen Hu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 166, pp. 373-389
Closed Access | Times Cited: 105
Hyperspectral image classification using CNN: Application to industrial food packaging
Leandro D. Medus, Mohamed Saban, Jose V. Francés-Víllora, et al.
Food Control (2021) Vol. 125, pp. 107962-107962
Closed Access | Times Cited: 104
Multimodal GANs: Toward Crossmodal Hyperspectral–Multispectral Image Segmentation
Danfeng Hong, Jing Yao, Deyu Meng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 6, pp. 5103-5113
Closed Access | Times Cited: 103
Adaptive Spectral–Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification
Di Wang, Bo Du, Liangpei Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 3, pp. 2461-2477
Closed Access | Times Cited: 102
Deep Multiview Learning for Hyperspectral Image Classification
Bing Liu, Anzhu Yu, Xuchu Yu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 9, pp. 7758-7772
Open Access | Times Cited: 101
Hyperspectral and Lidar Data Applied to the Urban Land Cover Machine Learning and Neural-Network-Based Classification: A Review
Agnieszka Kuras, Maximilian Brell, Jonathan Rizzi, et al.
Remote Sensing (2021) Vol. 13, Iss. 17, pp. 3393-3393
Open Access | Times Cited: 96
Recent advances of deep learning algorithms for aquacultural machine vision systems with emphasis on fish
Daoliang Li, Ling Du
Artificial Intelligence Review (2021) Vol. 55, Iss. 5, pp. 4077-4116
Closed Access | Times Cited: 94
HResNetAM: Hierarchical Residual Network With Attention Mechanism for Hyperspectral Image Classification
Zhixiang Xue, Xuchu Yu, Bing Liu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 3566-3580
Open Access | Times Cited: 90
Deep Learning for Biospectroscopy and Biospectral Imaging: State-of-the-Art and Perspectives
Hao He, Sen Yan, Danya Lyu, et al.
Analytical Chemistry (2021) Vol. 93, Iss. 8, pp. 3653-3665
Closed Access | Times Cited: 88
Image Segmentation Using Deep Learning: A Survey
Shervin Minaee, Yuri Boykov, Fatih Porikli, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 81
Efficient Deep Learning of Nonlocal Features for Hyperspectral Image Classification
Yu Shen, Sijie Zhu, Chen Chen, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 7, pp. 6029-6043
Open Access | Times Cited: 80

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