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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:

Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping
Patrick Griffiths, Claas Nendel, Patrick Hostert
Remote Sensing of Environment (2018) Vol. 220, pp. 135-151
Open Access | Times Cited: 434

Showing 1-25 of 434 citing articles:

Mapping cropping intensity in China using time series Landsat and Sentinel-2 images and Google Earth Engine
Luo Liu, Xiangming Xiao, Yuanwei Qin, et al.
Remote Sensing of Environment (2019) Vol. 239, pp. 111624-111624
Closed Access | Times Cited: 308
The 10-m crop type maps in Northeast China during 2017–2019
Nanshan You, Jinwei Dong, Jianxi Huang, et al.
Scientific Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 265
Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review
Michel Eustáquio Dantas Chaves, Michelle Cristina Araújo Picoli, Ieda Del’Arco Sanches
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 3062-3062
Open Access | Times Cited: 259
Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany
Lukas Blickensdörfer, Marcel Schwieder, Dirk Pflugmacher, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112831-112831
Open Access | Times Cited: 241
Examining earliest identifiable timing of crops using all available Sentinel 1/2 imagery and Google Earth Engine
Nanshan You, Jinwei Dong
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 161, pp. 109-123
Closed Access | Times Cited: 236
A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications
Atiya Khan, Amol D. Vibhute, Shankar Mali, et al.
Ecological Informatics (2022) Vol. 69, pp. 101678-101678
Closed Access | Times Cited: 221
Mapping pan-European land cover using Landsat spectral-temporal metrics and the European LUCAS survey
Dirk Pflugmacher, Andreas Rabe, Mathias Peters, et al.
Remote Sensing of Environment (2018) Vol. 221, pp. 583-595
Open Access | Times Cited: 204
ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery
Rui Li, Shunyi Zheng, Ce Zhang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 181, pp. 84-98
Open Access | Times Cited: 191
Status of Phenological Research Using Sentinel-2 Data: A Review
Gourav Misra, Fiona Cawkwell, Astrid Wingler
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2760-2760
Open Access | Times Cited: 179
Mapping sugarcane plantation dynamics in Guangxi, China, by time series Sentinel-1, Sentinel-2 and Landsat images
Jie Wang, Xiangming Xiao, Luo Liu, et al.
Remote Sensing of Environment (2020) Vol. 247, pp. 111951-111951
Open Access | Times Cited: 167
Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine
Aparna Phalke, Mutlu Özdoğan, Prasad S. Thenkabail, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 167, pp. 104-122
Open Access | Times Cited: 153
Early-season mapping of winter wheat in China based on Landsat and Sentinel images
Jie Dong, Yangyang Fu, Jingjing Wang, et al.
Earth system science data (2020) Vol. 12, Iss. 4, pp. 3081-3095
Open Access | Times Cited: 140
Remote sensing in forestry: current challenges, considerations and directions
Fabian Ewald Fassnacht, Joanne C. White, Michael A. Wulder, et al.
Forestry An International Journal of Forest Research (2023) Vol. 97, Iss. 1, pp. 11-37
Open Access | Times Cited: 128
An evaluation of Landsat, Sentinel-2, Sentinel-1 and MODIS data for crop type mapping
Xiao‐Peng Song, Wenli Huang, Matthew C. Hansen, et al.
Science of Remote Sensing (2021) Vol. 3, pp. 100018-100018
Open Access | Times Cited: 111
Review of Remote Sensing Applications in Grassland Monitoring
Zhaobin Wang, Yikun Ma, Yaonan Zhang, et al.
Remote Sensing (2022) Vol. 14, Iss. 12, pp. 2903-2903
Open Access | Times Cited: 96
Mapping crop type in Northeast China during 2013–2021 using automatic sampling and tile-based image classification
Xuan Fu, Yi Dong, Jiayu Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 117, pp. 103178-103178
Open Access | Times Cited: 79
10 m crop type mapping using Sentinel-2 reflectance and 30 m cropland data layer product
Khuong H. Tran, Hankui K. Zhang, John McMaine, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 107, pp. 102692-102692
Open Access | Times Cited: 73
Mapping, validating, and interpreting spatio-temporal trends in post-disturbance forest recovery
Joanne C. White, Txomin Hermosilla, Michael A. Wulder, et al.
Remote Sensing of Environment (2022) Vol. 271, pp. 112904-112904
Open Access | Times Cited: 70
SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data
Zhuohong Li, Wei He, Mofan Cheng, et al.
Earth system science data (2023) Vol. 15, Iss. 11, pp. 4749-4780
Open Access | Times Cited: 69
Rapid early-season maize mapping without crop labels
Nanshan You, Jinwei Dong, Jing Li, et al.
Remote Sensing of Environment (2023) Vol. 290, pp. 113496-113496
Closed Access | Times Cited: 62
Development of a 10-m resolution maize and soybean map over China: Matching satellite-based crop classification with sample-based area estimation
Haijun Li, Xiao‐Peng Song, Matthew C. Hansen, et al.
Remote Sensing of Environment (2023) Vol. 294, pp. 113623-113623
Closed Access | Times Cited: 55
Need and vision for global medium-resolution Landsat and Sentinel-2 data products
Volker C. Radeloff, David P. Roy, Michael A. Wulder, et al.
Remote Sensing of Environment (2023) Vol. 300, pp. 113918-113918
Open Access | Times Cited: 53
Enabling country-scale land cover mapping with meter-resolution satellite imagery
Xinyi Tong, Gui-Song Xia, Xiao Xiang Zhu
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 196, pp. 178-196
Open Access | Times Cited: 51
SinoLC-1: the first 1-meter resolution national-scale land-cover map of China created with the deep learning framework and open-access data
Zhuohong Li, Wei He, Mofan Cheng, et al.
(2023)
Open Access | Times Cited: 43
Classifying raw irregular time series (CRIT) for large area land cover mapping by adapting transformer model
Hankui K. Zhang, Dong Luo, Zhongbin Li
Science of Remote Sensing (2024) Vol. 9, pp. 100123-100123
Open Access | Times Cited: 17
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