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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:

Random forest in remote sensing: A review of applications and future directions
Mariana Belgiu, Lucian Drăguţ
ISPRS Journal of Photogrammetry and Remote Sensing (2016) Vol. 114, pp. 24-31
Closed Access | Times Cited: 5185

Showing 26-50 of 5185 citing articles:

Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions
Katja Berger, Jochem Verrelst, Jean‐Baptiste Féret, et al.
Remote Sensing of Environment (2020) Vol. 242, pp. 111758-111758
Open Access | Times Cited: 314
Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern Brazil
Raí Augusto Schwalbert, Telmo Jorge Carneiro Amado, Geomar Mateus Corassa, et al.
Agricultural and Forest Meteorology (2020) Vol. 284, pp. 107886-107886
Closed Access | Times Cited: 313
Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification
Yanni Dong, Quanwei Liu, Bo Du, et al.
IEEE Transactions on Image Processing (2022) Vol. 31, pp. 1559-1572
Closed Access | Times Cited: 311
Smallholder maize area and yield mapping at national scales with Google Earth Engine
Zhenong Jin, George Azzari, Calum You, et al.
Remote Sensing of Environment (2019) Vol. 228, pp. 115-128
Open Access | Times Cited: 308
Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review
Ava Vali, Sara Comai, Matteo Matteucci
Remote Sensing (2020) Vol. 12, Iss. 15, pp. 2495-2495
Open Access | Times Cited: 302
A remote sensing approach to mapping fire severity in south-eastern Australia using sentinel 2 and random forest
Rebecca K. Gibson, Tim Danaher, Warwick Hehir, et al.
Remote Sensing of Environment (2020) Vol. 240, pp. 111702-111702
Closed Access | Times Cited: 297
Multilayer Data-Driven Cyber-Attack Detection System for Industrial Control Systems Based on Network, System, and Process Data
Fan Zhang, Hansaka Angel Dias Edirisinghe Kodituwakku, J. Wesley Hines, et al.
IEEE Transactions on Industrial Informatics (2019) Vol. 15, Iss. 7, pp. 4362-4369
Closed Access | Times Cited: 296
Drivers of woody plant encroachment over Africa
Zander S. Venter, Michael D. Cramer, Heidi‐Jayne Hawkins
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 289
Using the 500 m MODIS land cover product to derive a consistent continental scale 30 m Landsat land cover classification
Hankui K. Zhang, David P. Roy
Remote Sensing of Environment (2017) Vol. 197, pp. 15-34
Open Access | Times Cited: 288
How much does multi-temporal Sentinel-2 data improve crop type classification?
Francesco Vuolo, Martin Neuwirth, Markus Immitzer, et al.
International Journal of Applied Earth Observation and Geoinformation (2018) Vol. 72, pp. 122-130
Closed Access | Times Cited: 287
Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detection
Razan Abdulhammed, Hassan Musafer, Ali Alessa, et al.
Electronics (2019) Vol. 8, Iss. 3, pp. 322-322
Open Access | Times Cited: 278
Improved land cover map of Iran using Sentinel imagery within Google Earth Engine and a novel automatic workflow for land cover classification using migrated training samples
Arsalan Ghorbanian, Mohammad Kakooei, Meisam Amani, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 167, pp. 276-288
Closed Access | Times Cited: 270
The First Wetland Inventory Map of Newfoundland at a Spatial Resolution of 10 m Using Sentinel-1 and Sentinel-2 Data on the Google Earth Engine Cloud Computing Platform
Masoud Mahdianpari, Bahram Salehi, Fariba Mohammadimanesh, et al.
Remote Sensing (2018) Vol. 11, Iss. 1, pp. 43-43
Open Access | Times Cited: 269
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: 268
InSDN: A Novel SDN Intrusion Dataset
Mahmoud Said Elsayed, Nhien‐An Le‐Khac, Anca Delia Jurcut
IEEE Access (2020) Vol. 8, pp. 165263-165284
Open Access | Times Cited: 262
Estimating leaf area index and aboveground biomass of grazing pastures using Sentinel-1, Sentinel-2 and Landsat images
Jie Wang, Xiao Xiangming, Rajen Bajgain, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 154, pp. 189-201
Open Access | Times Cited: 261
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
Spatio-Temporal Patterns of Land Use/Land Cover Change in the Heterogeneous Coastal Region of Bangladesh between 1990 and 2017
Abu Yousuf Md Abdullah, Arif Masrur, Mohammed Sarfaraz Gani Adnan, et al.
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 790-790
Open Access | Times Cited: 256
An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery
Ana Isabel de Castro, Jorge Torres‐Sánchez, José M. Peña, et al.
Remote Sensing (2018) Vol. 10, Iss. 2, pp. 285-285
Open Access | Times Cited: 252
Development of a global 30 m impervious surface map using multisource and multitemporal remote sensing datasets with the Google Earth Engine platform
Xiao Zhang, Liangyun Liu, Changshan Wu, et al.
Earth system science data (2020) Vol. 12, Iss. 3, pp. 1625-1648
Open Access | Times Cited: 252
A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images
Xin Zhang, Liangxiu Han, Yingying Dong, et al.
Remote Sensing (2019) Vol. 11, Iss. 13, pp. 1554-1554
Open Access | Times Cited: 251
Remote sensing and machine learning for crop water stress determination in various crops: a critical review
Shyamal S. Virnodkar, Vinod Pachghare, V. C. Patil, et al.
Precision Agriculture (2020) Vol. 21, Iss. 5, pp. 1121-1155
Closed Access | Times Cited: 251
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
Large-area mapping of Canadian boreal forest cover, height, biomass and other structural attributes using Landsat composites and lidar plots
Giona Matasci, Txomin Hermosilla, Michael A. Wulder, et al.
Remote Sensing of Environment (2018) Vol. 209, pp. 90-106
Open Access | Times Cited: 244
Deep Recurrent Neural Network for Agricultural Classification using multitemporal SAR Sentinel-1 for Camargue, France
Emile Ndikumana, Dinh Ho Tong Minh, Nicolas Baghdadi, et al.
Remote Sensing (2018) Vol. 10, Iss. 8, pp. 1217-1217
Open Access | Times Cited: 242

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