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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 Review of Ensemble Learning Algorithms Used in Remote Sensing Applications
Yuzhen Zhang, Jingjing Liu, Wenjuan Shen
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8654-8654
Open Access | Times Cited: 177

Showing 1-25 of 177 citing articles:

A Review of Practical AI for Remote Sensing in Earth Sciences
Bhargavi Janga, Gokul Prathin Asamani, Ziheng Sun, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4112-4112
Open Access | Times Cited: 55
Comparison of Random Forest and XGBoost Classifiers Using Integrated Optical and SAR Features for Mapping Urban Impervious Surface
Zhenfeng Shao, Muhammad Nasar Ahmad, Akib Javed
Remote Sensing (2024) Vol. 16, Iss. 4, pp. 665-665
Open Access | Times Cited: 35
Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development
Chaitanya B. Pande, Johnbosco C. Egbueri, Romulus Costache, et al.
Journal of Cleaner Production (2024) Vol. 444, pp. 141035-141035
Closed Access | Times Cited: 32
Improving diabetes disease patients classification using stacking ensemble method with PIMA and local healthcare data
Md. Shamim Reza, Ruhul Amin, Rubia Yasmin, et al.
Heliyon (2024) Vol. 10, Iss. 2, pp. e24536-e24536
Open Access | Times Cited: 17
Predicting water level fluctuations in glacier-fed lakes by ensembling individual models into a quad-meta model
Shoukat Ali Shah, Songtao Ai, Huanxin Yuan
Engineering Applications of Computational Fluid Mechanics (2025) Vol. 19, Iss. 1
Open Access | Times Cited: 1
Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques
Shahab Hosseini, Rashed Pourmirzaee, Danial Jahed Armaghani, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 35
A Parallel-Cascaded Ensemble of Machine Learning Models for Crop Type Classification in Google Earth Engine Using Multi-Temporal Sentinel-1/2 and Landsat-8/9 Remote Sensing Data
Esmaeil Abdali, Mohammad Javad Valadan Zoej, Alireza Taheri Dehkordi, et al.
Remote Sensing (2023) Vol. 16, Iss. 1, pp. 127-127
Open Access | Times Cited: 29
PRISMA hyperspectral data for lithological mapping in the Egyptian Eastern Desert: Evaluating the support vector machine, random forest, and XG boost machine learning algorithms
Ali Shebl, Dávid Abriha, Amr S. Fahil, et al.
Ore Geology Reviews (2023) Vol. 161, pp. 105652-105652
Open Access | Times Cited: 24
Ensemble Multifeatured Deep Learning Models and Applications: A Survey
Satheesh Abimannan, El-Sayed M. El-Alfy, Yue‐Shan Chang, et al.
IEEE Access (2023) Vol. 11, pp. 107194-107217
Open Access | Times Cited: 23
When crops meet machine vision: A review and development framework for a low-cost nondestructive online monitoring technology in agricultural production
Xinyue Lv, Xiaolong Zhang, Hairong Gao, et al.
Agriculture Communications (2024) Vol. 2, Iss. 1, pp. 100029-100029
Open Access | Times Cited: 9
From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies
Arnab Mukherjee, Suzanna Abraham, Akshita Singh, et al.
Molecular Biotechnology (2024)
Open Access | Times Cited: 8
Hierarchical Voting-Based Feature Selection and Ensemble Learning Model Scheme for Glioma Grading with Clinical and Molecular Characteristics
Erdal Taşçı, Ying Zhuge, Harpreet Kaur, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 22, pp. 14155-14155
Open Access | Times Cited: 30
Evaluation and mapping of predicted future land use changes using hybrid models in a coastal area
Hafez Ahmad, Mohammed Abdallah, Felix Jose, et al.
Ecological Informatics (2023) Vol. 78, pp. 102324-102324
Closed Access | Times Cited: 21
A Proposed Ensemble Feature Selection Method for Estimating Forest Aboveground Biomass from Multiple Satellite Data
Yuzhen Zhang, Jingjing Liu, Wenhao Li, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1096-1096
Open Access | Times Cited: 16
Ensemble learning-based applied research on heavy metals prediction in a soil-rice system
Huijuan Hao, Panpan Li, Wentao Jiao, et al.
The Science of The Total Environment (2023) Vol. 898, pp. 165456-165456
Closed Access | Times Cited: 16
Machine learning approaches for improving precipitation forecasting in the Ambica River basin of Navsari District, Gujarat
Divyang Baudhanwala, Darshan Mehta, Vijendra Kumar
Water Practice & Technology (2024) Vol. 19, Iss. 4, pp. 1315-1329
Open Access | Times Cited: 7
Enhanced machine learning models development for flash flood mapping using geospatial data
Yacine Hasnaoui, Salah Eddine Tachi, Hamza Bouguerra, et al.
Euro-Mediterranean Journal for Environmental Integration (2024) Vol. 9, Iss. 3, pp. 1087-1107
Closed Access | Times Cited: 7
Mild Cognitive Impairment detection based on EEG and HRV data
Amal Boudaya, Siwar Chaabene, Bassem Bouaziz, et al.
Digital Signal Processing (2024) Vol. 147, pp. 104399-104399
Open Access | Times Cited: 6
Radar vegetation indices for monitoring surface vegetation: Developments, challenges, and trends
Xueqian Hu, Li Li, Jianxi Huang, et al.
The Science of The Total Environment (2024) Vol. 945, pp. 173974-173974
Closed Access | Times Cited: 6
Spatial Downscaling of Satellite-Based Soil Moisture Products Using Machine Learning Techniques: A Review
I.P. Senanayake, Kalani R. L. Pathira Arachchilage, In‐Young Yeo, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2067-2067
Open Access | Times Cited: 5
Wheat Yield Prediction Using Machine Learning Method Based on UAV Remote Sensing Data
Shurong Yang, Lei Li, Shuaipeng Fei, et al.
Drones (2024) Vol. 8, Iss. 7, pp. 284-284
Open Access | Times Cited: 5
Ensemble learning-based crop yield estimation: a scalable approach for supporting agricultural statistics
Patric Brandt, Florian Beyer, Peter Borrmann, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 5
A comprehensive health assessment approach using ensemble deep learning model for remote patient monitoring with IoT
R Gayathri, S. Maheswari, Sandeep Kumar Mathivanan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Review of Classification Medical Images Using Ensemble Learning
Fatima Abdulatif, Aseel Ali
NTU Journal of Pure Sciences (2025) Vol. 3, Iss. 4
Closed Access
Predicting Maximum Surface Displacement from Mechanized Twin Tunnel Excavation in Seville Using Machine Learning and FLAC3D Simulation
Maziyar Bahri, Rocío Romero-Hernández, Emilio J. Mascort‐Albea, et al.
Geotechnical and Geological Engineering (2025) Vol. 43, Iss. 2
Closed Access
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