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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:

Towards interpreting multi-temporal deep learning models in crop mapping
Jinfan Xu, Jie Yang, Xingguo Xiong, et al.
Remote Sensing of Environment (2021) Vol. 264, pp. 112599-112599
Closed Access | Times Cited: 129

Showing 1-25 of 129 citing articles:

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: 108
Early- and in-season crop type mapping without current-year ground truth: Generating labels from historical information via a topology-based approach
Chenxi Lin, Liheng Zhong, Xiao‐Peng Song, et al.
Remote Sensing of Environment (2022) Vol. 274, pp. 112994-112994
Open Access | Times Cited: 86
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: 81
Towards automation of in-season crop type mapping using spatiotemporal crop information and remote sensing data
Chen Zhang, Liping Di, Li Lin, et al.
Agricultural Systems (2022) Vol. 201, pp. 103462-103462
Open Access | Times Cited: 78
Current trends in deep learning for Earth Observation: An open-source benchmark arena for image classification
Ivica Dimitrovski, Ivan Kitanovski, Dragi Kocev, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 197, pp. 18-35
Open Access | Times Cited: 73
Self-supervised pre-training for large-scale crop mapping using Sentinel-2 time series
Yijia Xu, Yuchi Ma, Zhou Zhang
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 207, pp. 312-325
Closed Access | Times Cited: 19
A Dual Attention Convolutional Neural Network for Crop Classification Using Time-Series Sentinel-2 Imagery
Seyd Teymoor Seydi, Meisam Amani, Arsalan Ghorbanian
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 498-498
Open Access | Times Cited: 51
Burnt-Net: Wildfire burned area mapping with single post-fire Sentinel-2 data and deep learning morphological neural network
Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot
Ecological Indicators (2022) Vol. 140, pp. 108999-108999
Open Access | Times Cited: 50
The Classification Method Study of Crops Remote Sensing with Deep Learning, Machine Learning, and Google Earth Engine
Jinxi Yao, Ji Wu, Chengzhi Xiao, et al.
Remote Sensing (2022) Vol. 14, Iss. 12, pp. 2758-2758
Open Access | Times Cited: 50
A full resolution deep learning network for paddy rice mapping using Landsat data
Lang Xia, Fen Zhao, Jin Chen, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 194, pp. 91-107
Closed Access | Times Cited: 44
A new phenology-based method for mapping wheat and barley using time-series of Sentinel-2 images
Davoud Ashourloo, Hamed Nematollahi, Alfredo Huete, et al.
Remote Sensing of Environment (2022) Vol. 280, pp. 113206-113206
Closed Access | Times Cited: 42
Rice Yield Prediction and Model Interpretation Based on Satellite and Climatic Indicators Using a Transformer Method
Yuanyuan Liu, Shaoqiang Wang, Jinghua Chen, et al.
Remote Sensing (2022) Vol. 14, Iss. 19, pp. 5045-5045
Open Access | Times Cited: 42
Exploring the potential of multi-source unsupervised domain adaptation in crop mapping using Sentinel-2 images
Yumiao Wang, Luwei Feng, Weiwei Sun, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 2247-2265
Closed Access | Times Cited: 41
A joint learning Im-BiLSTM model for incomplete time-series Sentinel-2A data imputation and crop classification
Baili Chen, Hongwei Zheng, Lili Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 108, pp. 102762-102762
Open Access | Times Cited: 40
Automated soybean mapping based on canopy water content and chlorophyll content using Sentinel-2 images
Yingze Huang, Bingwen Qiu, Chongcheng Chen, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 109, pp. 102801-102801
Open Access | Times Cited: 39
Crop type mapping in the central part of the North China Plain using Sentinel-2 time series and machine learning
Ke Luo, Linlin Lu, Yanhua Xie, et al.
Computers and Electronics in Agriculture (2022) Vol. 205, pp. 107577-107577
Closed Access | Times Cited: 38
Surveying coconut trees using high-resolution satellite imagery in remote atolls of the Pacific Ocean
Juepeng Zheng, Shuai Yuan, Wenzhao Wu, et al.
Remote Sensing of Environment (2023) Vol. 287, pp. 113485-113485
Closed Access | Times Cited: 36
A novel Greenness and Water Content Composite Index (GWCCI) for soybean mapping from single remotely sensed multispectral images
Hui Chen, Huapeng Li, Zhao Liu, et al.
Remote Sensing of Environment (2023) Vol. 295, pp. 113679-113679
Open Access | Times Cited: 36
Automated in-season mapping of winter wheat in China with training data generation and model transfer
Gaoxiang Yang, Xingrong Li, Pengzhi Liu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 202, pp. 422-438
Closed Access | Times Cited: 36
Improvement in crop mapping from satellite image time series by effectively supervising deep neural networks
Sina Mohammadi, Mariana Belgiu, Alfred Stein
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 198, pp. 272-283
Open Access | Times Cited: 28
Deep Learning Application for Crop Classification via Multi-Temporal Remote Sensing Images
Qianjing Li, Jia Tian, Qingjiu Tian
Agriculture (2023) Vol. 13, Iss. 4, pp. 906-906
Open Access | Times Cited: 26
Deep learning with multi-scale temporal hybrid structure for robust crop mapping
Pengfei Tang, Jocelyn Chanussot, Shanchuan Guo, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 209, pp. 117-132
Closed Access | Times Cited: 10
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 10
Large-Scale Rice Mapping Using Multi-Task Spatiotemporal Deep Learning and Sentinel-1 SAR Time Series
Zhixian Lin, Renhai Zhong, Xingguo Xiong, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 699-699
Open Access | Times Cited: 31
Rice mapping based on Sentinel-1 images using the coupling of prior knowledge and deep semantic segmentation network: A case study in Northeast China from 2019 to 2021
Pengliang Wei, Dengfeng Chai, Ran Huang, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102948-102948
Open Access | Times Cited: 31
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