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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:

A comparative analysis of different phenological information retrieved from Sentinel-2 time series images to improve crop classification: a machine learning approach
Abdelaziz Htitiou, Abdelghani Boudhar, Youssef Lebrini, et al.
Geocarto International (2020) Vol. 37, Iss. 5, pp. 1426-1449
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data
José Estévez, Matías Salinero-Delgado, Katja Berger, et al.
Remote Sensing of Environment (2022) Vol. 273, pp. 112958-112958
Open Access | Times Cited: 67
A phenological object-based approach for rice crop classification using time-series Sentinel-1 Synthetic Aperture Radar (SAR) data in Taiwan
Nguyễn Thanh Sơn, Chi-Farn Chen, Cheng-Ru Chen, et al.
International Journal of Remote Sensing (2021) Vol. 42, Iss. 7, pp. 2722-2739
Closed Access | Times Cited: 46
Mapping corn and soybean phenometrics at field scales over the United States Corn Belt by fusing time series of Landsat 8 and Sentinel-2 data with VIIRS data
Yu Shen, Xiaoyang Zhang, Zhengwei Yang
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 186, pp. 55-69
Open Access | Times Cited: 37
Crop type classification with combined spectral, texture, and radar features of time-series Sentinel-1 and Sentinel-2 data
Gang Cheng, Huan Ding, Jie Yang, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 4, pp. 1215-1237
Closed Access | Times Cited: 17
National-Scale Cropland Mapping Based on Phenological Metrics, Environmental Covariates, and Machine Learning on Google Earth Engine
Abdelaziz Htitiou, Abdelghani Boudhar, Abdelghani Chehbouni, et al.
Remote Sensing (2021) Vol. 13, Iss. 21, pp. 4378-4378
Open Access | Times Cited: 37
Noninvasive Early Detection of Nutrient Deficiencies in Greenhouse-Grown Industrial Hemp Using Hyperspectral Imaging
Alireza Sanaeifar, Ce Yang, Min An, et al.
Remote Sensing (2024) Vol. 16, Iss. 1, pp. 187-187
Open Access | Times Cited: 6
In-season crop type identification using optimal feature knowledge graph
Longcai Zhao, Qiangzi Li, Qingrui Chang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 194, pp. 250-266
Closed Access | Times Cited: 21
Rapid and Automated Approach for Early Crop Mapping Using Sentinel-1 and Sentinel-2 on Google Earth Engine; A Case of a Highly Heterogeneous and Fragmented Agricultural Region
Hajar Saad El Imanni, Abderrazak El Harti, Mohammed Hssaisoune, et al.
Journal of Imaging (2022) Vol. 8, Iss. 12, pp. 316-316
Open Access | Times Cited: 20
Investigation on the use of ensemble learning and big data in crop identification
Sayed Ahmed, Amira S. Mahmoud, Eslam Farg, et al.
Heliyon (2023) Vol. 9, Iss. 2, pp. e13339-e13339
Open Access | Times Cited: 11
Innovative Decision Fusion for Accurate Crop/Vegetation Classification with Multiple Classifiers and Multisource Remote Sensing Data
Shuang Shuai, Zhi Zhang, Tian Zhang, et al.
Remote Sensing (2024) Vol. 16, Iss. 9, pp. 1579-1579
Open Access | Times Cited: 4
Selecting Relevant Features for Random Forest-Based Crop Type Classifications by Spatial Assessments of Backward Feature Reduction
Talha Mahmood, Muhammad Usman, Christopher Conrad
PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science (2025)
Open Access
Adaptive Month Matching: A Phenological Alignment Method for Transfer Learning in Cropland Segmentation
Reza Maleki, Falin Wu, G. Qu, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 283-283
Open Access
A robust framework for mapping complex cropping patterns: The first national-scale 10 m map with 10 crops in China using Sentinel 1/2 images
Bingwen Qiu, Fangzheng Wu, Xiang Hu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 224, pp. 361-381
Closed Access
Automatic crop type mapping based on crop-wise indicative features
Jieqing Yu, Longcai Zhao, Yanfu Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104554-104554
Closed Access
Remote monitoring of agricultural systems using NDVI time series and machine learning methods: a tool for an adaptive agricultural policy
Youssef Lebrini, Abdelghani Boudhar, Abdelaziz Htitiou, et al.
Arabian Journal of Geosciences (2020) Vol. 13, Iss. 16
Closed Access | Times Cited: 25
Mapping and Characterization of Phenological Changes over Various Farming Systems in an Arid and Semi-Arid Region Using Multitemporal Moderate Spatial Resolution Data
Youssef Lebrini, Abdelghani Boudhar, Ahmed Laamrani, et al.
Remote Sensing (2021) Vol. 13, Iss. 4, pp. 578-578
Open Access | Times Cited: 23
Synergism of Multi-Modal Data for Mapping Tree Species Distribution—A Case Study from a Mountainous Forest in Southwest China
Pengfei Zheng, Panfei Fang, Leiguang Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 979-979
Open Access | Times Cited: 7
Deep Learning-Based Spatiotemporal Fusion Approach for Producing High-Resolution NDVI Time-Series Datasets
Abdelaziz Htitiou, Abdelghani Boudhar, Tarik Benabdelouahab
Canadian Journal of Remote Sensing (2021) Vol. 47, Iss. 2, pp. 182-197
Closed Access | Times Cited: 16
Investigating Sentinel-1 and Sentinel-2 Data Efficiency in Studying the Temporal Behavior of Wheat Phenological Stages Using Google Earth Engine
Hajar Saad El Imanni, Abderrazak El Harti, Jonathan Panimboza
Agriculture (2022) Vol. 12, Iss. 10, pp. 1605-1605
Open Access | Times Cited: 11
Phenology-based decision tree classification of rice-crayfish fields from Sentinel-2 imagery in Qianjiang, China
Tian Xia, Wenwen Ji, Weidong Li, et al.
International Journal of Remote Sensing (2021) Vol. 42, Iss. 21, pp. 8124-8144
Closed Access | Times Cited: 14
Improving classification accuracy for separation of area under crops based on feature selection from multi-temporal images and machine learning algorithms
Mostafa Kabolizadeh, Kazem Rangzan, Khalil Habashi
Advances in Space Research (2023) Vol. 72, Iss. 11, pp. 4809-4824
Closed Access | Times Cited: 5
A Meta-Heuristic Method for Reassemble Bifragmented Intertwined JPEG Image Files in Digital Forensic Investigation
Rabei Raad Ali, Kamaruddin Malik Mohamad, Salama A. Mostafa, et al.
IEEE Access (2023) Vol. 11, pp. 111789-111800
Open Access | Times Cited: 5
Spatio-Temporal Assessment of Olive Orchard Intensification in the Saïss Plain (Morocco) Using k-Means and High-Resolution Satellite Data
Rebecca Navarro, Lars Wirkus, Olena Dubovyk
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 50-50
Open Access | Times Cited: 7
NDVI Prediction of Mediterranean Permanent Grasslands Using Soil Moisture Products
Filippo Milazzo, Luca Brocca, Tom Vanwalleghem
Agronomy (2024) Vol. 14, Iss. 8, pp. 1798-1798
Open Access | Times Cited: 1
Generating Up-to-Date Crop Maps Optimized for Sentinel-2 Imagery in Israel
Keren Goldberg, Ittai Herrmann, Uri Hochberg, et al.
Remote Sensing (2021) Vol. 13, Iss. 17, pp. 3488-3488
Open Access | Times Cited: 8
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