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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:

Crop type mapping using spectral–temporal profiles and phenological information
Saskia Foerster, Klaus Kaden, Michael Foerster, et al.
Computers and Electronics in Agriculture (2012) Vol. 89, pp. 30-40
Open Access | Times Cited: 195

Showing 1-25 of 195 citing articles:

A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach
Yaping Cai, Kaiyu Guan, Jian Peng, et al.
Remote Sensing of Environment (2018) Vol. 210, pp. 35-47
Open Access | Times Cited: 456
Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques
Sherrie Wang, George Azzari, David B. Lobell
Remote Sensing of Environment (2019) Vol. 222, pp. 303-317
Closed Access | Times Cited: 333
Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders
Marc Rußwurm, Marco Körner
ISPRS International Journal of Geo-Information (2018) Vol. 7, Iss. 4, pp. 129-129
Open Access | Times Cited: 267
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: 246
Self-attention for raw optical Satellite Time Series Classification
Marc Rußwurm, Marco Körner
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 169, pp. 421-435
Open Access | Times Cited: 245
Currently and recently used pesticides in Central European arable soils
Martina Hvězdová, Petra Kosubová, Monika Košíková, et al.
The Science of The Total Environment (2017) Vol. 613-614, pp. 361-370
Closed Access | Times Cited: 242
Temporal Vegetation Modelling Using Long Short-Term Memory Networks for Crop Identification from Medium-Resolution Multi-spectral Satellite Images
Marc Rubwurm, Marco Körner
(2017), pp. 1496-1504
Closed Access | Times Cited: 186
Non-point source pollution risks in a drinking water protection zone based on remote sensing data embedded within a nutrient budget model
Guoqiang Wang, Jiawei Li, Wenchao Sun, et al.
Water Research (2019) Vol. 157, pp. 238-246
Closed Access | Times Cited: 163
Crop mapping from image time series: Deep learning with multi-scale label hierarchies
Mehmet Özgür Türkoglu, Stefano D’Aronco, Gregor Perich, et al.
Remote Sensing of Environment (2021) Vol. 264, pp. 112603-112603
Open Access | Times Cited: 119
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
Integration of Optical and Synthetic Aperture Radar Imagery for Improving Crop Mapping in Northwestern Benin, West Africa
Gerald Forkuor, Christopher Conrad, Michael Thiel, et al.
Remote Sensing (2014) Vol. 6, Iss. 7, pp. 6472-6499
Open Access | Times Cited: 173
Grassland habitat mapping by intra-annual time series analysis – Comparison of RapidEye and TerraSAR-X satellite data
Christian Schuster, Tobias Schmidt, Christopher Conrad, et al.
International Journal of Applied Earth Observation and Geoinformation (2014) Vol. 34, pp. 25-34
Closed Access | Times Cited: 142
A Hidden Markov Models Approach for Crop Classification: Linking Crop Phenology to Time Series of Multi-Sensor Remote Sensing Data
Sofia Siachalou, Giorgos Mallinis, Maria Tsakiri–Strati
Remote Sensing (2015) Vol. 7, Iss. 4, pp. 3633-3650
Open Access | Times Cited: 135
Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data
Murali Krishna Gumma, Prasad S. Thenkabail, Pardhasaradhi Teluguntla, et al.
International Journal of Digital Earth (2016) Vol. 9, Iss. 10, pp. 981-1003
Open Access | Times Cited: 135
Winter wheat mapping combining variations before and after estimated heading dates
Bingwen Qiu, Yuhan Luo, Zhenghong Tang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2016) Vol. 123, pp. 35-46
Closed Access | Times Cited: 124
Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity
François Waldner, Diego de Abelleyra, Santiago R. Verón, et al.
International Journal of Remote Sensing (2016) Vol. 37, Iss. 14, pp. 3196-3231
Open Access | Times Cited: 118
Multi-Data Approach for remote sensing-based regional crop rotation mapping: A case study for the Rur catchment, Germany
Guido Waldhoff, Ulrike Lussem, Georg Bareth
International Journal of Applied Earth Observation and Geoinformation (2017) Vol. 61, pp. 55-69
Open Access | Times Cited: 104
A phenology-based spectral and temporal feature selection method for crop mapping from satellite time series
Qiong Hu, Damien Sulla‐Menashe, Baodong Xu, et al.
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 80, pp. 218-229
Closed Access | Times Cited: 103
Accessing the temporal and spectral features in crop type mapping using multi-temporal Sentinel-2 imagery: A case study of Yi’an County, Heilongjiang province, China
Hongyan Zhang, Jinzhong Kang, Xiong Xu, et al.
Computers and Electronics in Agriculture (2020) Vol. 176, pp. 105618-105618
Closed Access | Times Cited: 96
Crop type mapping in a highly fragmented and heterogeneous agricultural landscape: A case of central Iran using multi-temporal Landsat 8 imagery
Ali Asgarian, Alireza Soffianian, Saeid Pourmanafi
Computers and Electronics in Agriculture (2016) Vol. 127, pp. 531-540
Closed Access | Times Cited: 94
Pre-harvest classification of crop types using a Sentinel-2 time-series and machine learning
Mmamokoma Grace Maponya, Adriaan van Niekerk, Zama Eric Mashimbye
Computers and Electronics in Agriculture (2020) Vol. 169, pp. 105164-105164
Open Access | Times Cited: 89
MULTI-TEMPORAL LAND COVER CLASSIFICATION WITH LONG SHORT-TERM MEMORY NEURAL NETWORKS
Marc Rußwurm, Marco Körner
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2017) Vol. XLII-1/W1, pp. 551-558
Open Access | Times Cited: 88
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
Crop type mapping by using transfer learning
Artur Nowakowski, John Mrziglod, Dario Spiller, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 98, pp. 102313-102313
Open Access | Times Cited: 70
Spatial and transient modelling of land use/land cover (LULC) dynamics in a Sahelian landscape under semi-arid climate in northern Burkina Faso
Roland Yonaba, Mahamadou Koïta, Lawani Adjadi Mounirou, et al.
Land Use Policy (2021) Vol. 103, pp. 105305-105305
Closed Access | Times Cited: 67
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