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:

Multispectral and hyperspectral images based land use / land cover change prediction analysis: an extensive review
M. Sam Navin, L. Agilandeeswari
Multimedia Tools and Applications (2020) Vol. 79, Iss. 39-40, pp. 29751-29774
Closed Access | Times Cited: 64

Showing 26-50 of 64 citing articles:

SWIN transformer based contrastive self-supervised learning for animal detection and classification
L. Agilandeeswari, Divya Meena Sundaram
Multimedia Tools and Applications (2022) Vol. 82, Iss. 7, pp. 10445-10470
Closed Access | Times Cited: 18

FPGA-based parallel implementation to classify Hyperspectral images by using a Convolutional Neural Network
Abdullatif Baba, Talal Bonny
Integration (2023) Vol. 92, pp. 15-23
Closed Access | Times Cited: 10

A comparative analysis of various activation functions and optimizers in a convolutional neural network for hyperspectral image classification
Eren Can Seyrek, Murat Uysal
Multimedia Tools and Applications (2023) Vol. 83, Iss. 18, pp. 53785-53816
Closed Access | Times Cited: 10

A novel multi-class land use/land cover classification using deep kernel attention transformer for hyperspectral images
Ganji Tejasree, L. Agilandeeswari
Earth Science Informatics (2023) Vol. 17, Iss. 1, pp. 593-616
Closed Access | Times Cited: 9

Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection
Bartosz Grabowski, Maciej Ziaja, Michał Kawulok, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107835-107835
Closed Access | Times Cited: 3

Patterns of change, driving forces and future simulation of LULC in the Fuxian Lake Basin based on the IM-RF-Markov-PLUS framework
Zhiqiang Lin, Shuangyun Peng, Dongling Ma, et al.
Sustainable Futures (2024) Vol. 8, pp. 100289-100289
Open Access | Times Cited: 3

The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images
Jakub Nalepa, Bertrand Le Saux, Nicolas Longépé, et al.
2022 IEEE International Conference on Image Processing (ICIP) (2022), pp. 4268-4272
Closed Access | Times Cited: 15

Analysis of Machine Learning Techniques for Sentinel-2A Satellite Images
Eman A. Alshari, Bharti W. Gawali
Journal of Electrical and Computer Engineering (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 14

Urban land-use susceptibility and sustainability—Case study
S. L. Borana, Shraddha Yadav
Elsevier eBooks (2023), pp. 261-286
Closed Access | Times Cited: 8

Multispectral data mining: A focus on remote sensing satellite images
Sin Liang Lim, Jaya Sreevalsan‐Nair, B. S. Daya Sagar
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 14, Iss. 2
Closed Access | Times Cited: 7

Rdtn: Residual Densely Transformer Network for Hyperspectral Image Classification
Yan Li, Xiaofei Yang, Dong Tang, et al.
(2024)
Closed Access | Times Cited: 2

Detection of land cover usage from optimized learnable parameter artificial neural network (OLPANN) using multispectral images
L. Gowri, K. R. Manjula
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2

Assessing water quality environmental grades using hyperspectral images and a deep learning model: A case study in Jiangsu, China
Hongran Li, Hui Zhao, Chao Wei, et al.
Ecological Informatics (2024) Vol. 84, pp. 102854-102854
Open Access | Times Cited: 2

A land cover change framework analyzing wildfire-affected areas in bitemporal PRISMA hyperspectral images
Gaetano Settembre, Nicolò Taggio, Nicoletta Del Buono, et al.
Mathematics and Computers in Simulation (2024)
Open Access | Times Cited: 2

Remote sensing image segmentation using feature based fusion on FCM clustering algorithm
R. Sharma, M. Ravinder
Complex & Intelligent Systems (2023) Vol. 9, Iss. 6, pp. 7423-7437
Open Access | Times Cited: 5

Exploring the ViDiDetect Tool for Automated Defect Detection in Manufacturing with Machine Vision
Mateusz Dziubek, Jacek Rysiński, Daniel Jancarczyk
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 11098-11098
Open Access | Times Cited: 4

Enhanced hyperspectral image analysis via 2D-3D CNN fusion and hybrid moth-flame optimization for optimal band selection in remote sensing
V. Sangeetha, L. Agilandeeswari
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1

A new band selection framework for hyperspectral remote sensing image classification
Boggavarapu L. N. Phaneendra Kumar, Radhesyam Vaddi, Prabukumar Manoharan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

A hybrid learning model for efficient classification of Land Use and land change from satellite images
Sudhakar Sengan, Arodh Lal Karn, Denis A. Pustokhin, et al.
Physics and Chemistry of the Earth Parts A/B/C (2022) Vol. 128, pp. 103284-103284
Closed Access | Times Cited: 6

Intelligent classification model of land resource use using deep learning in remote sensing images
Qingtao Liao
Ecological Modelling (2022) Vol. 475, pp. 110231-110231
Closed Access | Times Cited: 6

Image based Land Cover Classification for Remote Sensing Applications-A review
Mishaa Manikandan M, A. Diana Andrushia, T. Mary Neebha
(2021), pp. 152-155
Closed Access | Times Cited: 5

Remote Sensing Data Processing of Urban Land Using Based on Artificial Neural Network
Han Zhang
Scientific Programming (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 3

Evaluating automated endmember extraction for classifying hyperspectral data and deriving spectral parameters for monitoring forest vegetation health
Ronak Singh, Vinay Kumar
Environmental Monitoring and Assessment (2022) Vol. 195, Iss. 1
Closed Access | Times Cited: 3

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