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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:

Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks
Salman Khan, Xuming He, Fatih Porikli, et al.
IEEE Transactions on Geoscience and Remote Sensing (2017) Vol. 55, Iss. 9, pp. 5407-5423
Closed Access | Times Cited: 202

Showing 1-25 of 202 citing articles:

Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data
Salman Khan, Munawar Hayat, Mohammed Bennamoun, et al.
IEEE Transactions on Neural Networks and Learning Systems (2017) Vol. 29, Iss. 8, pp. 3573-3587
Open Access | Times Cited: 879
End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++
Daifeng Peng, Yongjun Zhang, Haiyan Guan
Remote Sensing (2019) Vol. 11, Iss. 11, pp. 1382-1382
Open Access | Times Cited: 632
Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges
Wenzhong Shi, Min Zhang, Rui Zhang, et al.
Remote Sensing (2020) Vol. 12, Iss. 10, pp. 1688-1688
Open Access | Times Cited: 427
Change detection techniques for remote sensing applications: a survey
Anju Asokan, J. Anitha
Earth Science Informatics (2019) Vol. 12, Iss. 2, pp. 143-160
Closed Access | Times Cited: 318
Applications of artificial intelligence for disaster management
Wenjuan Sun, Paolo Bocchini, Brian D. Davison
Natural Hazards (2020) Vol. 103, Iss. 3, pp. 2631-2689
Closed Access | Times Cited: 298
A deep translation (GAN) based change detection network for optical and SAR remote sensing images
Xinghua Li, Zhengshun Du, Yanyuan Huang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 179, pp. 14-34
Open Access | Times Cited: 275
A Feature Difference Convolutional Neural Network-Based Change Detection Method
Min Zhang, Wenzhong Shi
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 58, Iss. 10, pp. 7232-7246
Closed Access | Times Cited: 238
Deep learning for geological hazards analysis: Data, models, applications, and opportunities
Zhengjing Ma, Gang Mei
Earth-Science Reviews (2021) Vol. 223, pp. 103858-103858
Open Access | Times Cited: 200
Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks
Pablo Pozzobon de, Osmar Abílio de Carvalho Júnior, Renato Fontes Guimarães, et al.
Remote Sensing (2020) Vol. 12, Iss. 6, pp. 901-901
Open Access | Times Cited: 199
uDAS: An Untied Denoising Autoencoder With Sparsity for Spectral Unmixing
Ying Qu, Hairong Qi
IEEE Transactions on Geoscience and Remote Sensing (2018) Vol. 57, Iss. 3, pp. 1698-1712
Closed Access | Times Cited: 192
Deep Learning and Superpixel Feature Extraction Based on Contractive Autoencoder for Change Detection in SAR Images
Ning Lv, Chen Chen, Tie Qiu, et al.
IEEE Transactions on Industrial Informatics (2018) Vol. 14, Iss. 12, pp. 5530-5538
Closed Access | Times Cited: 191
Deep learning for change detection in remote sensing: a review
Ting Bai, Le Wang, Dameng Yin, et al.
Geo-spatial Information Science (2022) Vol. 26, Iss. 3, pp. 262-288
Open Access | Times Cited: 137
Land Cover Change Detection With Heterogeneous Remote Sensing Images: Review, Progress, and Perspective
Zhiyong Lv, Haitao Huang, Xinghua Li, et al.
Proceedings of the IEEE (2022) Vol. 110, Iss. 12, pp. 1976-1991
Closed Access | Times Cited: 121
Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-22
Open Access | Times Cited: 114
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images
Luigi Tommaso Luppino, Mads A. Hansen, Michael Kampffmeyer, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 1, pp. 60-72
Open Access | Times Cited: 94
Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities
Claudio Persello, Jan Dirk Wegner, Ronny Hänsch, et al.
IEEE Geoscience and Remote Sensing Magazine (2022) Vol. 10, Iss. 2, pp. 172-200
Open Access | Times Cited: 89
Multiscale Attention Network Guided With Change Gradient Image for Land Cover Change Detection Using Remote Sensing Images
Zhiyong Lv, Pingdong Zhong, Wei Wang, et al.
IEEE Geoscience and Remote Sensing Letters (2023) Vol. 20, pp. 1-5
Closed Access | Times Cited: 56
Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review
Guangliang Cheng, Yunmeng Huang, Xiangtai Li, et al.
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2355-2355
Open Access | Times Cited: 43
Assessing forest cover changes and fragmentation in the Himalayan temperate region: implications for forest conservation and management
Kaleem Mehmood, Shoaib Ahmad Anees, Akhtar Rehman, et al.
Journal of Forestry Research (2024) Vol. 35, Iss. 1
Closed Access | Times Cited: 20
Building Instance Change Detection from Large-Scale Aerial Images using Convolutional Neural Networks and Simulated Samples
Shunping Ji, Yanyun Shen, Meng Lü, et al.
Remote Sensing (2019) Vol. 11, Iss. 11, pp. 1343-1343
Open Access | Times Cited: 145
Robust Change Captioning
Dong Huk Park, Trevor Darrell, Anna Rohrbach
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 4623-4632
Open Access | Times Cited: 117
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
Syed Waqas Zamir, Aditya Arora, Akshita Gupta, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 99
Transferred Deep Learning-Based Change Detection in Remote Sensing Images
Meijuan Yang, Licheng Jiao, Fang Liu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 57, Iss. 9, pp. 6960-6973
Closed Access | Times Cited: 94
Adopting deep learning methods for airborne RGB fluvial scene classification
Patrice Carbonneau, Stephen J. Dugdale, Toby P. Breckon, et al.
Remote Sensing of Environment (2020) Vol. 251, pp. 112107-112107
Open Access | Times Cited: 85
Remotely sensed big data: evolution in model development for information extraction [point of view]
Bing Zhang, Zhengchao Chen, Dailiang Peng, et al.
Proceedings of the IEEE (2019) Vol. 107, Iss. 12, pp. 2294-2301
Open Access | Times Cited: 80
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