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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:

Cube-CNN-SVM: A Novel Hyperspectral Image Classification Method
Jiabing Leng, Tao Li, Gang Bai, et al.
(2016), pp. 1027-1034
Closed Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

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: 788
Deep Learning Meets Hyperspectral Image Analysis: A Multidisciplinary Review
Alberto Signoroni, Mattia Savardi, Annalisa Baronio, et al.
Journal of Imaging (2019) Vol. 5, Iss. 5, pp. 52-52
Open Access | Times Cited: 291
A survey: Deep learning for hyperspectral image classification with few labeled samples
Sen Jia, Shuguo Jiang, Zhijie Lin, et al.
Neurocomputing (2021) Vol. 448, pp. 179-204
Open Access | Times Cited: 274
Flood susceptibility mapping using convolutional neural network frameworks
Yi Wang, Zhice Fang, Haoyuan Hong, et al.
Journal of Hydrology (2019) Vol. 582, pp. 124482-124482
Closed Access | Times Cited: 253
Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects
Muhammad Ahmad, Sidrah Shabbir, Swalpa Kumar Roy, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 15, pp. 968-999
Open Access | Times Cited: 241
Advances of Four Machine Learning Methods for Spatial Data Handling: a Review
Peijun Du, Xuyu Bai, Kun Tan, et al.
Journal of Geovisualization and Spatial Analysis (2020) Vol. 4, Iss. 1
Closed Access | Times Cited: 143
A Novel Hybrid Severity Prediction Model for Blast Paddy Disease Using Machine Learning
Shweta Lamba, Vinay Kukreja, Anupam Baliyan, et al.
Sustainability (2023) Vol. 15, Iss. 2, pp. 1502-1502
Open Access | Times Cited: 73
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: 34
HSI-CNN: A Novel Convolution Neural Network for Hyperspectral Image
Yanan Luo, Jie Zou, Chengfei Yao, et al.
(2018)
Open Access | Times Cited: 132
Crop Classification Method Based on Optimal Feature Selection and Hybrid CNN-RF Networks for Multi-Temporal Remote Sensing Imagery
Shuting Yang, Lingjia Gu, Xiaofeng Li, et al.
Remote Sensing (2020) Vol. 12, Iss. 19, pp. 3119-3119
Open Access | Times Cited: 81
Diabetic retinopathy detection and classification using CNN tuned by genetic algorithm
Sayan Das, Sanjoy Kumar Saha
Multimedia Tools and Applications (2022) Vol. 81, Iss. 6, pp. 8007-8020
Closed Access | Times Cited: 41
Deep Learning-Based Hybrid Model For Severity Prediction of Leaf Smut Rice Infection
Vishesh Tanwar, Shweta Lamba, Bhanu Sharma
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2023), pp. 1-6
Closed Access | Times Cited: 25
Deep Learning-based Hybrid Model for Severity Prediction of Leaf Smut Sugarcane Infection
Vishesh Tanwar, Shweta Lamba, Bhanu Sharma
(2023)
Closed Access | Times Cited: 24
COMPARATIVE ANALYSIS OF SVM, ANN AND CNN FOR CLASSIFYING VEGETATION SPECIES USING HYPERSPECTRAL THERMAL INFRARED DATA
Md. Al Mehedi Hasan, Saleem Ullah, Muhammad Jaleed Khan, et al.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2019) Vol. XLII-2/W13, pp. 1861-1868
Open Access | Times Cited: 66
Folded LDA: Extending the Linear Discriminant Analysis Algorithm for Feature Extraction and Data Reduction in Hyperspectral Remote Sensing
Samson Damilola Fabiyi, Paul Murray, Jaime Zabalza, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 12312-12331
Open Access | Times Cited: 45
Red Rot Disease Prediction in Sugarcane Using the Deep Learning Approach
Vishesh Tanwar, Shweta Lamba, Bhanu Sharma, et al.
(2023)
Closed Access | Times Cited: 18
GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseases
Omneya Attallah, Maha Sharkas
PeerJ Computer Science (2021) Vol. 7, pp. e423-e423
Open Access | Times Cited: 36
Onboard Processing of Hyperspectral Imagery: Deep Learning Advancements, Methodologies, Challenges, and Emerging Trends
Nafiseh Ghasemi, Jon Alvarez Justo, Marco Celesti, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2025) Vol. 18, pp. 4780-4790
Open Access
A Spatio-Spectral Hybrid Convolutional Architecture for Hyperspectral Document Authentication
Muhammad Jaleed Khan, Khurram Khurshid, Faisal Shafait
(2019), pp. 1097-1102
Closed Access | Times Cited: 41
Detection and Identification of Potato-Typical Diseases Based on Multidimensional Fusion Atrous-CNN and Hyperspectral Data
Wenqiang Gao, Zhiyun Xiao, Tengfei Bao
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5023-5023
Open Access | Times Cited: 11
A novel fine-tuned deep-learning-based multi-class classifier for severity of paddy leaf diseases
Shweta Lamba, Vinay Kukreja, Junaid Rashid, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 11
A Novel Deep Learning Framework by Combination of Subspace-Based Feature Extraction and Convolutional Neural Networks for Hyperspectral Images Classification
Tayeb Alipour-Fard, Hossein Arefi, Somayeh Mahmoudi
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2018), pp. 4780-4783
Closed Access | Times Cited: 35
A Lightweight Spectral–Spatial Feature Extraction and Fusion Network for Hyperspectral Image Classification
Lin-Lin Chen, Zhihui Wei, Yang Xu
Remote Sensing (2020) Vol. 12, Iss. 9, pp. 1395-1395
Open Access | Times Cited: 31
A classification model for the prostate cancer based on deep learning
Ying Liu, AN Xiao-mei
2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) (2017), pp. 1-6
Closed Access | Times Cited: 32
Hyperspectral Image Analysis for Writer Identification using Deep Learning
Ammad Ul Islam, Muhammad Jaleed Khan, Khurram Khurshid, et al.
(2019)
Closed Access | Times Cited: 29
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