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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:

Multicriteria semi-supervised hyperspectral band selection based on evolutionary multitask optimization
Jiao Shi, Xi Zhang, Xiaodong Liu, et al.
Knowledge-Based Systems (2022) Vol. 240, pp. 107934-107934
Closed Access | Times Cited: 24

Showing 24 citing articles:

Hyperspectral Image Band Selection Based on CNN Embedded GA (CNNeGA)
Mohammad Reza Esmaeili, Dariush Abbasi‐Moghadam, Alireza Sharifi, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 1927-1950
Open Access | Times Cited: 71
Half a Dozen Real-World Applications of Evolutionary Multitasking, and More
Abhishek Gupta, Lei Zhou, Yew-Soon Ong, et al.
IEEE Computational Intelligence Magazine (2022) Vol. 17, Iss. 2, pp. 49-66
Open Access | Times Cited: 68
Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions
Eneko Osaba, Javier Del Ser, Aritz D. Martinez, et al.
Cognitive Computation (2022) Vol. 14, Iss. 3, pp. 927-954
Closed Access | Times Cited: 66
A capsule-vectored neural network for hyperspectral image classification
Xue Wang, Kun Tan, Peijun Du, et al.
Knowledge-Based Systems (2023) Vol. 268, pp. 110482-110482
Closed Access | Times Cited: 32
Mayfly algorithm-based semi-supervised band selection with enhanced bitonic filter for spectral-spatial hyperspectral image classification
Mohammed Abdulmajeed Moharram, Divya Meena Sundaram
International Journal of Remote Sensing (2024) Vol. 45, Iss. 6, pp. 2073-2108
Closed Access | Times Cited: 5
Hyperspectral Band Selection for Crop Identification and Mapping of Agriculture
Yulei Tan, Jian-Ying Gu, Laijun Lu, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 663-663
Open Access
What makes evolutionary multi-task optimization better: A comprehensive survey
Hong Zhao, Xuhui Ning, Xiaotao Liu, et al.
Applied Soft Computing (2023) Vol. 145, pp. 110545-110545
Closed Access | Times Cited: 14
Multiobjective band selection approach via an adaptive particle swarm optimizer for remote sensing hyperspectral images
Yuze Zhang, Qiuzhen Lin, Lingjie Li, et al.
Swarm and Evolutionary Computation (2024) Vol. 89, pp. 101614-101614
Closed Access | Times Cited: 3
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: 15
Adaptive feature selection for hyperspectral image classification based on Improved Unsupervised Mayfly optimization Algorithm
Mohammed Abdulmajeed Moharram, Divya Meena Sundaram
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 4145-4159
Closed Access | Times Cited: 2
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 adaptive evolutionary-reinforcement learning algorithm for hyperspectral band selection
Mingwei Wang, Haoming Zhang, B. G Yin, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123937-123937
Closed Access | Times Cited: 1
Hyperspectral to multispectral: optimal selection of mission-relevant bands using machine learning
Kedar R. Naik, Andrew Wernersbach, M. NILSON, et al.
(2024)
Closed Access | Times Cited: 1
Graph feature fusion driven by deep autoencoder for advanced hyperspectral image unmixing
Refka Hanachi, Akrem Sellami, Imed Riadh Farah, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112087-112087
Closed Access | Times Cited: 1
Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification
Qijun Wang, Yong Liu, Ke Xu, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101665-101665
Closed Access | Times Cited: 1
MultiGO: An unsupervised approach based on multi-objective growth optimizer for hyperspectral image band selection
Mohammed Abdulmajeed Moharram, Divya Meena Sundaram
Remote Sensing Applications Society and Environment (2024) Vol. 37, pp. 101424-101424
Closed Access | Times Cited: 1
Evolutionary multitasking cooperative transfer for multiobjective hyperspectral sparse unmixing
Jianzhao Li, Maoguo Gong, Jinxin Wei, et al.
Knowledge-Based Systems (2023) Vol. 285, pp. 111306-111306
Closed Access | Times Cited: 3
Unsupervised Hyperspectral Band Selection via Structure-Conserved and Neighborhood-Grouped Evolutionary Algorithm
Qijun Wang, Chaoping Song, Yanni Dong, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-19
Closed Access | Times Cited: 2
Evaluation of Band Selection Strategies for Improved Classification of Hyper Spectral Data
Ramnarayan Pal
(2024), pp. 1-7
Closed Access
Fewer interpretable bands via self-supervision for hyperspectral anomaly detection
Ruike Wang, Jing Hu
Neurocomputing (2024), pp. 128964-128964
Closed Access
Hybrid rice optimization algorithm inspired grey wolf optimizer for high-dimensional feature selection
Zhiwei Ye, Ruoxuan Huang, Wen Zhou, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open 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
Band Selection in Hyperspectral Image with Chaotic Binary MOCLONAL Algorithm
Satyasai Jagannath Nanda
SN Computer Science (2022) Vol. 3, Iss. 5
Closed Access | Times Cited: 1
TRP-Oriented Hyperspectral Remote Sensing Image Classification Using Entropy-Weighted Ensemble Algorithm
Shuhan Jia, Yu Li, Quanhua Zhao, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2315-2315
Open Access
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