
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 Reinforcement Learning for Band Selection in Hyperspectral Image Classification
Lichao Mou, Sudipan Saha, Yuansheng Hua, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-14
Open Access | Times Cited: 76
Lichao Mou, Sudipan Saha, Yuansheng Hua, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-14
Open Access | Times Cited: 76
Showing 1-25 of 76 citing articles:
A Review of Practical AI for Remote Sensing in Earth Sciences
Bhargavi Janga, Gokul Prathin Asamani, Ziheng Sun, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4112-4112
Open Access | Times Cited: 55
Bhargavi Janga, Gokul Prathin Asamani, Ziheng Sun, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4112-4112
Open Access | Times Cited: 55
Band Selection Algorithm Based on Multi-Feature and Affinity Propagation Clustering
Junbin Zhuang, Wenying Chen, Xunan Huang, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 193-193
Open Access | Times Cited: 1
Junbin Zhuang, Wenying Chen, Xunan Huang, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 193-193
Open Access | Times Cited: 1
Deep Learning in Medical Hyperspectral Images: A Review
Rong Cui, He Yu, Tingfa Xu, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9790-9790
Open Access | Times Cited: 42
Rong Cui, He Yu, Tingfa Xu, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9790-9790
Open Access | Times Cited: 42
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
Xianfeng Ou, Meng Wu, Bing Tu, et al.
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 1952-1965
Closed Access | Times Cited: 27
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
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
A Dual Global–Local Attention Network for Hyperspectral Band Selection
Ke He, Weiwei Sun, Gang Yang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-13
Closed Access | Times Cited: 36
Ke He, Weiwei Sun, Gang Yang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-13
Closed Access | Times Cited: 36
MR-Selection: A Meta-Reinforcement Learning Approach for Zero-Shot Hyperspectral Band Selection
Jie Feng, Gaiqin Bai, Di Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 61, pp. 1-20
Closed Access | Times Cited: 30
Jie Feng, Gaiqin Bai, Di Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 61, pp. 1-20
Closed Access | Times Cited: 30
Deep Reinforcement Learning for Mineral Prospectivity Mapping
Zixian Shi, Renguang Zuo, Bao Zhou
Mathematical Geosciences (2023) Vol. 55, Iss. 6, pp. 773-797
Closed Access | Times Cited: 17
Zixian Shi, Renguang Zuo, Bao Zhou
Mathematical Geosciences (2023) Vol. 55, Iss. 6, pp. 773-797
Closed Access | Times Cited: 17
Double Deep Q-Network for Hyperspectral Image Band Selection in Land Cover Classification Applications
Hua Yang, Ming Chen, Guowen Wu, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 682-682
Open Access | Times Cited: 16
Hua Yang, Ming Chen, Guowen Wu, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 682-682
Open Access | Times Cited: 16
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: 7
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: 7
Dual-stream spectral-spatial convolutional neural network for hyperspectral image classification and optimal band selection
Şaziye Özge Atik
Advances in Space Research (2024) Vol. 74, Iss. 5, pp. 2025-2041
Closed Access | Times Cited: 7
Şaziye Özge Atik
Advances in Space Research (2024) Vol. 74, Iss. 5, pp. 2025-2041
Closed Access | Times Cited: 7
Characteristic band selection of hyperspectral unmixing based on pixel simulation experiment
Haonan Zhang, Long Yu, Donglin Li
Spectroscopy Letters (2025), pp. 1-13
Closed Access
Haonan Zhang, Long Yu, Donglin Li
Spectroscopy Letters (2025), pp. 1-13
Closed Access
Multiobjective Optimization-Based Hyperspectral Band Selection for Target Detection
Meiping Song, Shihui Liu, Dayong Xu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-22
Closed Access | Times Cited: 27
Meiping Song, Shihui Liu, Dayong Xu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-22
Closed Access | Times Cited: 27
Machine learning versus deep learning in land system science: a decision-making framework for effective land classification
Jane Southworth, Audrey Culver Smith, Mohammad Reza Safaei, et al.
Frontiers in Remote Sensing (2024) Vol. 5
Open Access | Times Cited: 4
Jane Southworth, Audrey Culver Smith, Mohammad Reza Safaei, et al.
Frontiers in Remote Sensing (2024) Vol. 5
Open Access | Times Cited: 4
Two-Stage Unsupervised Hyperspectral Band Selection Based on Deep Reinforcement Learning
Yi Guo, Qianqian Wang, Bingliang Hu, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 586-586
Open Access
Yi Guo, Qianqian Wang, Bingliang Hu, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 586-586
Open Access
Machine-Learning Classification of Soil Bulk Density in Salt Marsh Environments
Iman Salehi Hikouei, S. Sonny Kim, Deepak R. Mishra
Sensors (2021) Vol. 21, Iss. 13, pp. 4408-4408
Open Access | Times Cited: 24
Iman Salehi Hikouei, S. Sonny Kim, Deepak R. Mishra
Sensors (2021) Vol. 21, Iss. 13, pp. 4408-4408
Open Access | Times Cited: 24
TAttMSRecNet:Triplet-attention and multiscale reconstruction network for band selection in hyperspectral images
Utpal Nandi, Swalpa Kumar Roy, Danfeng Hong, et al.
Expert Systems with Applications (2022) Vol. 212, pp. 118797-118797
Closed Access | Times Cited: 16
Utpal Nandi, Swalpa Kumar Roy, Danfeng Hong, et al.
Expert Systems with Applications (2022) Vol. 212, pp. 118797-118797
Closed 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
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
Comprehensive analysis of hyperspectral features for monitoring canopy maize leaf spot disease
Yali Bai, Chenwei Nie, Xun Yu, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109350-109350
Closed Access | Times Cited: 3
Yali Bai, Chenwei Nie, Xun Yu, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109350-109350
Closed Access | Times Cited: 3
A comprehensive systematic review of deep learning methods for hyperspectral images classification
Pallavi Ranjan, Ashish Girdhar
International Journal of Remote Sensing (2022) Vol. 43, Iss. 17, pp. 6221-6306
Closed Access | Times Cited: 12
Pallavi Ranjan, Ashish Girdhar
International Journal of Remote Sensing (2022) Vol. 43, Iss. 17, pp. 6221-6306
Closed Access | Times Cited: 12
Enhancing Hyper-Spectral Image Classification with Reinforcement Learning and Advanced Multi-Objective Binary Grey Wolf Optimization
Mehrdad Shoeibi, Mohammad Mehdi Sharifi Nevisi, Reza Salehi, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 3, pp. 3469-3493
Open Access | Times Cited: 2
Mehrdad Shoeibi, Mohammad Mehdi Sharifi Nevisi, Reza Salehi, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 3, pp. 3469-3493
Open Access | Times Cited: 2
Multi-agent deep reinforcement learning for hyperspectral band selection with hybrid teacher guide
Jie Feng, Qiyang Gao, Ronghua Shang, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112044-112044
Closed Access | Times Cited: 2
Jie Feng, Qiyang Gao, Ronghua Shang, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112044-112044
Closed Access | Times Cited: 2
Earth Observation Satellite Imagery Information Based Decision Support Using Machine Learning
Bruno Ferreira, Rui Silva, Muriel Iten
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3776-3776
Open Access | Times Cited: 11
Bruno Ferreira, Rui Silva, Muriel Iten
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3776-3776
Open Access | Times Cited: 11
Hyperspectral Feature Selection for SOM Prediction Using Deep Reinforcement Learning and Multiple Subset Evaluation Strategies
Linya Zhao, Kun Tan, Xue Wang, et al.
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 127-127
Open Access | Times Cited: 11
Linya Zhao, Kun Tan, Xue Wang, et al.
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 127-127
Open Access | Times Cited: 11
Unsupervised Encoder–Decoder Network Under Spatial and Spectral Guidance for Hyperspectral and Multispectral Image Fusion
Huajing Wu, Kefei Zhang, Suqin Wu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-16
Closed Access | Times Cited: 6
Huajing Wu, Kefei Zhang, Suqin Wu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-16
Closed Access | Times Cited: 6