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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:

Representative Band Selection for Hyperspectral Image Classification
Fuding Xie, Fangfei Li, Cunkuan Lei, et al.
ISPRS International Journal of Geo-Information (2018) Vol. 7, Iss. 9, pp. 338-338
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Hyperspectral Band Selection: A Review
Weiwei Sun, Qian Du
IEEE Geoscience and Remote Sensing Magazine (2019) Vol. 7, Iss. 2, pp. 118-139
Closed Access | Times Cited: 367
Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 1: Literature Review
Aaron E. Maxwell, Timothy A. Warner, Luis Andrés Guillén
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2450-2450
Open Access | Times Cited: 195
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: 72
A feature selection approach for hyperspectral image based on modified ant lion optimizer
Mingwei Wang, Chunming Wu, Lizhe Wang, et al.
Knowledge-Based Systems (2019) Vol. 168, pp. 39-48
Closed Access | Times Cited: 124
Impact of Texture Information on Crop Classification with Machine Learning and UAV Images
Geun-Ho Kwak, No-Wook Park
Applied Sciences (2019) Vol. 9, Iss. 4, pp. 643-643
Open Access | Times Cited: 115
Essential processing methods of hyperspectral images of agricultural and food products
Beibei Jia, Wei Wang, Xinzhi Ni, et al.
Chemometrics and Intelligent Laboratory Systems (2020) Vol. 198, pp. 103936-103936
Closed Access | Times Cited: 92
Unsupervised band selection based on artificial bee colony algorithm for hyperspectral image classification
Fuding Xie, Fangfei Li, Cunkuan Lei, et al.
Applied Soft Computing (2018) Vol. 75, pp. 428-440
Closed Access | Times Cited: 86
Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks
Pablo Ribalta Lorenzo, Łukasz Tulczyjew, Michał Marcinkiewicz, et al.
IEEE Access (2020) Vol. 8, pp. 42384-42403
Open Access | Times Cited: 80
Classification of Heterogeneous Mining Areas Based on ResCapsNet and Gaofen-5 Imagery
Renxiang Guan, Zihao Li, Teng Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3216-3216
Open Access | Times Cited: 38
MIMR-DGSA: Unsupervised hyperspectral band selection based on information theory and a modified discrete gravitational search algorithm
Julius Tschannerl, Jinchang Ren, Peter Yuen, et al.
Information Fusion (2019) Vol. 51, pp. 189-200
Open Access | Times Cited: 67
Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach
Francesca Manni, Fons van der Sommen, Himar Fabelo, et al.
Sensors (2020) Vol. 20, Iss. 23, pp. 6955-6955
Open Access | Times Cited: 53
A Hybrid Gray Wolf Optimizer for Hyperspectral Image Band Selection
Yulei Wang, Qingyu Zhu, Haipeng Ma, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-13
Closed Access | Times Cited: 32
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
An effective feature selection approach based on hybrid Grey Wolf Optimizer and Genetic Algorithm for hyperspectral image
Yiqun Shang, Minrui Zheng, Jiayang Li, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Hyperspectral band selection based on metaheuristic optimization approach
Shrutika S. Sawant, Prabukumar Manoharan
Infrared Physics & Technology (2020) Vol. 107, pp. 103295-103295
Closed Access | Times Cited: 43
A Review of Unsupervised Band Selection Techniques: Land Cover Classification for Hyperspectral Earth Observation Data
Ram Narayan Patro, Subhashree Subudhi, Pradyut Kumar Biswal, et al.
IEEE Geoscience and Remote Sensing Magazine (2021) Vol. 9, Iss. 3, pp. 72-111
Closed Access | Times Cited: 39
A Comparative Analysis of Swarm Intelligence and Evolutionary Algorithms for Feature Selection in SVM-Based Hyperspectral Image Classification
Yiqun Shang, Xinqi Zheng, Jiayang Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3019-3019
Open Access | Times Cited: 27
Multi-objective multi-verse optimizer based unsupervised band selection for hyperspectral image classification
Shrutika S. Sawant, Prabukumar Manoharan, L. Agilandeeswari, et al.
International Journal of Remote Sensing (2022) Vol. 43, Iss. 11, pp. 3990-4024
Closed Access | Times Cited: 24
A survey of band selection techniques for hyperspectral image classification
Shrutika S. Sawant, Prabukumar Manoharan
Journal of Spectral Imaging (2020)
Open Access | Times Cited: 36
New framework for hyperspectral band selection using modified wind-driven optimization algorithm
Shrutika S. Sawant, Prabukumar Manoharan
International Journal of Remote Sensing (2019) Vol. 40, Iss. 20, pp. 7852-7873
Closed Access | Times Cited: 33
Selecting Optimal Combination of Data Channels for Semantic Segmentation in City Information Modelling (CIM)
Yuanzhi Cai, Hong Huang, Kaiyang Wang, et al.
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1367-1367
Open Access | Times Cited: 24
Enhanced classification of remotely sensed hyperspectral images through efficient band selection using autoencoders and genetic algorithm
Pangambam Sendash Singh, Karthikeyan Subbiah
Neural Computing and Applications (2021) Vol. 34, Iss. 24, pp. 21539-21550
Closed Access | Times Cited: 23
Band clustering using expectation–maximization algorithm and weighted average fusion-based feature extraction for hyperspectral image classification
Prabukumar Manoharan, Sawant Shrutika
Journal of Applied Remote Sensing (2018) Vol. 12, Iss. 04, pp. 1-1
Open Access | Times Cited: 30
Entropy-Based Convex Set Optimization for Spatial–Spectral Endmember Extraction From Hyperspectral Images
Dharambhai Shah, Tanish Zaveri, Y. N. Trivedi, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 13, pp. 4200-4213
Open Access | Times Cited: 21
Heterogeneous Cuckoo Search-Based Unsupervised Band Selection for Hyperspectral Image Classification
Meng Wu, Xianfeng Ou, Youli Lu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 62, pp. 1-16
Closed Access | Times Cited: 5
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