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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:

Automatic canola mapping using time series of sentinel 2 images
Davoud Ashourloo, Hamid Salehi Shahrabi, Mohsen Azadbakht, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 156, pp. 63-76
Closed Access | Times Cited: 88

Showing 1-25 of 88 citing articles:

Detecting flowering phenology in oil seed rape parcels with Sentinel-1 and -2 time series
Raphaël d’Andrimont, Matthieu Taymans, Guido Lemoine, et al.
Remote Sensing of Environment (2020) Vol. 239, pp. 111660-111660
Open Access | Times Cited: 135
Evaluation of Sentinel-1 & 2 time series for predicting wheat and rapeseed phenological stages
Audrey Mercier, Julie Betbeder, Jacques Baudry, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 163, pp. 231-256
Open Access | Times Cited: 135
Application of Google Earth Engine Cloud Computing Platform, Sentinel Imagery, and Neural Networks for Crop Mapping in Canada
Meisam Amani, Mohammad Kakooei, Armin Moghimi, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3561-3561
Open Access | Times Cited: 86
Satellite prediction of forest flowering phenology
Dan J. Dixon, Nik Callow, John Duncan, et al.
Remote Sensing of Environment (2021) Vol. 255, pp. 112197-112197
Open Access | Times Cited: 83
Early-Season Mapping of Winter Crops Using Sentinel-2 Optical Imagery
Haifeng Tian, Yongjiu Wang, Ting Chen, et al.
Remote Sensing (2021) Vol. 13, Iss. 19, pp. 3822-3822
Open Access | Times Cited: 79
Rice-Yield Prediction with Multi-Temporal Sentinel-2 Data and 3D CNN: A Case Study in Nepal
Rubén Fernández-Beltran, Tina Baidar, Jian Kang, et al.
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1391-1391
Open Access | Times Cited: 73
A Novel Spectral Index for Automatic Canola Mapping by Using Sentinel-2 Imagery
Haifeng Tian, Ting Chen, Qiangzi Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1113-1113
Open Access | Times Cited: 43
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: 43
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: 42
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: 40
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: 38
Mapping upland crop–rice cropping systems for targeted sustainable intensification in South China
Bingwen Qiu, Linhai Yu, Peng Yang, et al.
The Crop Journal (2024) Vol. 12, Iss. 2, pp. 614-629
Open Access | Times Cited: 9
A novel and robust method for large-scale single-season rice mapping based on phenology and statistical data
Maolin Yang, Bin Guo, Jianlin Wang
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 213, pp. 14-32
Closed Access | Times Cited: 9
Classification of multitemporal Sentinel-2 data for field-level monitoring of rice cropping practices in Taiwan
Nguyễn Thanh Sơn, Chi-Farn Chen, Cheng-Ru Chen, et al.
Advances in Space Research (2020) Vol. 65, Iss. 8, pp. 1910-1921
Closed Access | Times Cited: 55
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: 55
The RapeseedMap10 database: annual maps of rapeseed at a spatial resolution of 10 m based on multi-source data
Jichong Han, Zhao Zhang, Yuchuan Luo, et al.
Earth system science data (2021) Vol. 13, Iss. 6, pp. 2857-2874
Open Access | Times Cited: 51
Seamless and automated rapeseed mapping for large cloudy regions using time-series optical satellite imagery
Hongyan Zhang, Wenbin Liu, Liangpei Zhang
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 184, pp. 45-62
Closed Access | Times Cited: 44
Mapping rapeseed in China during 2017-2021 using Sentinel data: an automated approach integrating rule-based sample generation and a one-class classifier (RSG-OC)
Yunze Zang, Yuean Qiu, Xuehong Chen, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 21
Mapping annual 10 m rapeseed extent using multisource data in the Yangtze River Economic Belt of China (2017–2021) on Google Earth Engine
Wenbin Liu, Hongyan Zhang
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 117, pp. 103198-103198
Open Access | Times Cited: 20
CARM30: China annual rapeseed maps at 30 m spatial resolution from 2000 to 2022 using multi-source data
Wenbin Liu, Shu Li, Jianbin Tao, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 7
A lightweight CNN-Transformer network for pixel-based crop mapping using time-series Sentinel-2 imagery
Yumiao Wang, Luwei Feng, Weiwei Sun, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109370-109370
Closed Access | Times Cited: 7
Land Cover Classification of Nine Perennial Crops Using Sentinel-1 and -2 Data
James Brinkhoff, Justin Vardanega, Andrew Robson
Remote Sensing (2019) Vol. 12, Iss. 1, pp. 96-96
Open Access | Times Cited: 52
A novel method for automatic potato mapping using time series of Sentinel-2 images
Davoud Ashourloo, Hamid Salehi Shahrabi, Mohsen Azadbakht, et al.
Computers and Electronics in Agriculture (2020) Vol. 175, pp. 105583-105583
Closed Access | Times Cited: 46
Developing a New Method to Identify Flowering Dynamics of Rapeseed Using Landsat 8 and Sentinel-1/2
Jichong Han, Zhao Zhang, Juan Cao
Remote Sensing (2020) Vol. 13, Iss. 1, pp. 105-105
Open Access | Times Cited: 43
Crop Type Identification Using High-Resolution Remote Sensing Images Based on an Improved DeepLabV3+ Network
Chang Zhu, Hu Li, Donghua Chen, et al.
Remote Sensing (2023) Vol. 15, Iss. 21, pp. 5088-5088
Open Access | Times Cited: 17
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