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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:

Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine
Jarrett Adrian, Vasit Sagan, Maitiniyazi Maimaitijiang
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 175, pp. 215-235
Open Access | Times Cited: 167

Showing 1-25 of 167 citing articles:

Deep learning techniques to classify agricultural crops through UAV imagery: a review
Abdelmalek Bouguettaya, Hafed Zarzour, Ahmed Kechida, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 12, pp. 9511-9536
Open Access | Times Cited: 185
A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter
Yang Chen, Ruyin Cao, Jin Chen, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 180, pp. 174-190
Closed Access | Times Cited: 174
Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review
Liping Yang, Joshua Driscol, Sarigai Sarigai, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3253-3253
Open Access | Times Cited: 146
A Review of Deep Learning in Multiscale Agricultural Sensing
Dashuai Wang, Wujing Cao, Fan Zhang, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 559-559
Open Access | Times Cited: 137
Challenges and opportunities in remote sensing-based crop monitoring: a review
Bingfang Wu, Miao Zhang, Hongwei Zeng, et al.
National Science Review (2022) Vol. 10, Iss. 4
Open Access | Times Cited: 106
A novel multi-head CNN design to identify plant diseases using the fusion of RGB images
Yasin Kaya, Ercan Gürsoy
Ecological Informatics (2023) Vol. 75, pp. 101998-101998
Closed Access | Times Cited: 90
A robust index to extract paddy fields in cloudy regions from SAR time series
Shuai Xu, Xiaolin Zhu, Jin Chen, et al.
Remote Sensing of Environment (2022) Vol. 285, pp. 113374-113374
Open Access | Times Cited: 80
Remote-Sensing Data and Deep-Learning Techniques in Crop Mapping and Yield Prediction: A Systematic Review
Abhasha Joshi, Biswajeet Pradhan, Shilpa Gite, et al.
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2014-2014
Open Access | Times Cited: 75
Crop monitoring by multimodal remote sensing: A review
Priyabrata Karmakar, Shyh Wei Teng, Manzur Murshed, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 33, pp. 101093-101093
Open Access | Times Cited: 48
Comparison of Random Forest and XGBoost Classifiers Using Integrated Optical and SAR Features for Mapping Urban Impervious Surface
Zhenfeng Shao, Muhammad Nasar Ahmad, Akib Javed
Remote Sensing (2024) Vol. 16, Iss. 4, pp. 665-665
Open Access | Times Cited: 38
Integrating GEDI, Sentinel-2, and Sentinel-1 imagery for tree crops mapping
Esmaeel Adrah, Jesse P. Wong, He Yin
Remote Sensing of Environment (2025) Vol. 319, pp. 114644-114644
Open Access | Times Cited: 2
Review of pixel-level remote sensing image fusion based on deep learning
Zhaobin Wang, Yikun Ma, Yaonan Zhang
Information Fusion (2022) Vol. 90, pp. 36-58
Closed Access | Times Cited: 60
Recent advances in image fusion technology in agriculture
Daoliang Li, Zhaoyang Song, Chaoqun Quan, et al.
Computers and Electronics in Agriculture (2021) Vol. 191, pp. 106491-106491
Closed Access | Times Cited: 58
A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images—Analysis Unit, Model Scalability and Transferability
Rongjun Qin, Tao Liu
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 646-646
Open Access | Times Cited: 57
Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions
Jingbo Li, Changchun Li, Weimeng Xu, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102818-102818
Open Access | Times Cited: 46
Data Fusion in Agriculture: Resolving Ambiguities and Closing Data Gaps
Jayme Garcia Arnal Barbedo
Sensors (2022) Vol. 22, Iss. 6, pp. 2285-2285
Open Access | Times Cited: 39
MDAS: a new multimodal benchmark dataset for remote sensing
Jingliang Hu, Rong Liu, Danfeng Hong, et al.
Earth system science data (2023) Vol. 15, Iss. 1, pp. 113-131
Open Access | Times Cited: 31
Spatial-temporal changes and driving factors of eco-environmental quality in the Three-North region of China
Yi Long, Fugen Jiang, Muli Deng, et al.
Journal of Arid Land (2023) Vol. 15, Iss. 3, pp. 231-252
Open Access | Times Cited: 28
Deep Learning Models for the Classification of Crops in Aerial Imagery: A Review
Igor Teixeira, Raul Morais, Joaquim J. Sousa, et al.
Agriculture (2023) Vol. 13, Iss. 5, pp. 965-965
Open Access | Times Cited: 25
Crop mapping using supervised machine learning and deep learning: a systematic literature review
Mouad Alami Machichi, Loubna El Mansouri, Yasmina Imani, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 8, pp. 2717-2753
Open Access | Times Cited: 23
Optical and SAR Image Fusion Based on Complementary Feature Decomposition and Visual Saliency Features
Yuanxin Ye, Jiacheng Zhang, Liang Zhou, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Closed Access | Times Cited: 13
A novel cotton mapping index combining Sentinel-1 SAR and Sentinel-2 multispectral imagery
Lan Xun, Jiahua Zhang, Dan Cao, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 181, pp. 148-166
Closed Access | Times Cited: 54
Self-Supervised SAR-Optical Data Fusion of Sentinel-1/-2 Images
Yuxing Chen, Lorenzo Bruzzone
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-11
Closed Access | Times Cited: 52
CFNet: A Cross Fusion Network for Joint Land Cover Classification Using Optical and SAR Images
Wenchao Kang, Yuming Xiang, Feng Wang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 1562-1574
Open Access | Times Cited: 37
Progressive fusion learning: A multimodal joint segmentation framework for building extraction from optical and SAR images
Xue Li, Guo Zhang, Hao Cui, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 195, pp. 178-191
Closed Access | Times Cited: 35
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