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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:

Natural Disasters Intensity Analysis and Classification Based on Multispectral Images Using Multi-Layered Deep Convolutional Neural Network
Muhammad Aamir, Tariq Ali, Muhammad Irfan, et al.
Sensors (2021) Vol. 21, Iss. 8, pp. 2648-2648
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Artificial neural network approaches for disaster management: A literature review
Sreeparna Guha, Rabin K. Jana, Manas Kumar Sanyal
International Journal of Disaster Risk Reduction (2022) Vol. 81, pp. 103276-103276
Closed Access | Times Cited: 53
Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities
Jing Jia, Wenjie Ye
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4098-4098
Open Access | Times Cited: 15
Classification and detection of natural disasters using machine learning and deep learning techniques: A review
Kibitok Abraham, Moataz M. Abdelwahab, Mohammed Abo‐Zahhad
Earth Science Informatics (2023) Vol. 17, Iss. 2, pp. 869-891
Closed Access | Times Cited: 15
Graph Neural Network-Based Method of Spatiotemporal Land Cover Mapping Using Satellite Imagery
Domen Kavran, Domen Mongus, Borut Žalik, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6648-6648
Open Access | Times Cited: 14
Efficient Classification of Imbalanced Natural Disasters Data Using Generative Adversarial Networks for Data Augmentation
Rokaya Eltehewy, Ahmed Abouelfarag, Sherine Nagy Saleh
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 6, pp. 245-245
Open Access | Times Cited: 11
Estimation of Flood Inundation Area Using Soil Moisture Active Passive Fractional Water Data with an LSTM Model
Rekzi D. Febrian, Wanyub Kim, Yangwon Lee, et al.
Sensors (2025) Vol. 25, Iss. 8, pp. 2503-2503
Open Access
Hybrid models based on deep learning neural network and optimization algorithms for the spatial prediction of tropical forest fire susceptibility in Nghe An province, Vietnam
Huu Duy Nguyen
Geocarto International (2022) Vol. 37, Iss. 26, pp. 11281-11305
Closed Access | Times Cited: 18
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
Cascaded attention-induced difference representation learning for multispectral change detection
Wuxia Zhang, Qinyu Zhang, Hailong Ning, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 121, pp. 103366-103366
Open Access | Times Cited: 7
Application of Multispectral Remote Sensing for Mapping Flood-Affected Zones in the Brumadinho Mining District (Minas Gerais, Brasil)
Lorenzo Ammirati, Rita Chirico, Diego Di Martire, et al.
Remote Sensing (2022) Vol. 14, Iss. 6, pp. 1501-1501
Open Access | Times Cited: 12
A disaster classification application using convolutional neural network by performing data augmentation
M. Sobhana, Smitha Chowdary, D. N. V. S. L. S. Indira, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 27, Iss. 3, pp. 1712-1712
Open Access | Times Cited: 10
An integrated approach based earthquake risk assessment of a seismically active and rapidly urbanizing area in Northern Pakistan
Ahsen Maqsoom, Bilal Aslam, Umer Khalil, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 16043-16073
Closed Access | Times Cited: 9
Comprehensive evaluation of natural landscapes before and after earthquake based on GST-FAHP-GIS analytical method: A case study of Jiuzhaigou Nature Reserve, China
Xiyu Luo, Xin Li, Yunguo Liu, et al.
Ecological Indicators (2023) Vol. 154, pp. 110850-110850
Open Access | Times Cited: 5
Internet of Things based Natural Disaster Detection and Personalized Notification System
M. Varadharajan, S. Balaji, V. Ezhilarasan, et al.
(2023), pp. 93-97
Closed Access | Times Cited: 4
MFEMANet: an effective disaster image classification approach for practical risk assessment
Payal Bhadra, Avijit Balabantaray, Ajit Kumar Pasayat
Machine Vision and Applications (2023) Vol. 34, Iss. 5
Closed Access | Times Cited: 4
Predicting and detecting fires on multispectral images using machine learning methods
Murat Aitimov, Mira Kaldarova, Аkmaral Kassymova, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 2, pp. 1842-1842
Open Access | Times Cited: 1
Disaster assessment from social media using multimodal deep learning
Nisha P. Shetty, Yash Bijalwan, Pranav Chaudhari, et al.
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 1
A Novel Hybrid Machine Learning Approach for Classification of Brain Tumor Images
Abdullah A. Asiri, Amna Iqbal, Javed Ferzund, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 73, Iss. 1, pp. 641-655
Open Access | Times Cited: 7
Urban hazards caused by ground deformation and building subsidence over fossil lake beds: a study from Taipei City
Shih‐Yuan Lin
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 2890-2910
Open Access | Times Cited: 7
A Novel Inherited Modeling Structure of Automatic Brain Tumor Segmentation from MRI
Abdullah A. Asiri, Tariq Ali, Ahmad Shaf, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 73, Iss. 2, pp. 3983-4002
Open Access | Times Cited: 6
Optical Fibre Sensing and Deep Learning-Based Disaster and Climate Change Risk Assessments of Civil Infrastructure: Current Status and Future Perspective
Kusumi Anjana, Madhubhashitha Herath, U. M. N. Jayawickrema, et al.
Lecture notes in civil engineering (2023), pp. 463-476
Closed Access | Times Cited: 2
Landscape Fragmentation and Spatial Autocorrelation of a Typical Watershed in the Wenchuan Earthquake-Affected Area—A Case Study in the Longxi River Basin
Tian Xue, Liusheng Yang, Xuan Wu, et al.
Forests (2023) Vol. 14, Iss. 12, pp. 2349-2349
Open Access | Times Cited: 2
A Spatial–Spectral Joint Attention Network for Change Detection in Multispectral Imagery
Wuxia Zhang, Qinyu Zhang, Shuo Liu, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3394-3394
Open Access | Times Cited: 4
Building Damage Detection Using Deep Learning Models
Kibitok Abraham, Moataz M. Abdelwahab, Mohammed Abo‐Zahhad
(2024), pp. 1-5
Closed Access
A Benchmark and Investigation of Deep-Learning-Based Techniques for Detecting Natural Disasters in Aerial Images
Demetris Shianios, Christos Kyrkou, Panayiotis Kolios
Lecture notes in computer science (2023), pp. 244-254
Closed Access | Times Cited: 1
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