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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:

Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterisation predictions
Daniel Asante Otchere, Tarek Ganat, Jude Oghenerurie Ojero, et al.
Journal of Petroleum Science and Engineering (2021) Vol. 208, pp. 109244-109244
Closed Access | Times Cited: 143

Showing 1-25 of 143 citing articles:

Integrating Remote Sensing and Soil Features for Enhanced Machine Learning-Based Corn Yield Prediction in the Southern US
Sayantan Sarkar, Javier M. Osorio Leyton, Efrain Noa‐Yarasca, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 543-543
Open Access | Times Cited: 3
Novel Groundwater Quality Index (GWQI) model: A Reliable Approach for the Assessment of Groundwater
Abdul Majed Sajib, Apoorva Bamal, Mir Talas Mahammad Diganta, et al.
Results in Engineering (2025), pp. 104265-104265
Open Access | Times Cited: 2
PM2.5 concentration prediction using machine learning algorithms: an approach to virtual monitoring stations
Ahmad Makhdoomi, Maryam Sarkhosh, Somayyeh Ziaei
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Logging-data-driven permeability prediction in low-permeable sandstones based on machine learning with pattern visualization: A case study in Wenchang A Sag, Pearl River Mouth Basin
Xiaobo Zhao, Xiaojun Chen, Qiao Huang, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 214, pp. 110517-110517
Closed Access | Times Cited: 43
Seismic driven reservoir classification using advanced machine learning algorithms: A case study from the Lower Ranikot/Khadro sandstone gas reservoir, Kirthar Fold Belt, Lower Indus Basin, Pakistan
Umar Manzoor, Muhsan Ehsan, Ahmed E. Radwan, et al.
Geoenergy Science and Engineering (2023) Vol. 222, pp. 211451-211451
Closed Access | Times Cited: 33
Estimation and Prediction of the Polymers’ Physical Characteristics Using the Machine Learning Models
Ivan Malashin, В С Тынченко, Vladimir A. Nelyub, et al.
Polymers (2023) Vol. 16, Iss. 1, pp. 115-115
Open Access | Times Cited: 31
Feature Selection in Machine Learning for Perovskite Materials Design and Discovery
Junya Wang, Pengcheng Xu, Xiaobo Ji, et al.
Materials (2023) Vol. 16, Iss. 8, pp. 3134-3134
Open Access | Times Cited: 25
Supercritical water gasification thermodynamic study and hybrid modeling of machine learning with the ideal gas model: Application to gasification of microalgae biomass
J.M. Santos J, Ícaro Augusto Maccari Zelioli, En F, et al.
Energy (2024) Vol. 291, pp. 130287-130287
Closed Access | Times Cited: 14
Using machine learning models to estimate Escherichia coli concentration in an irrigation pond from water quality and drone-based RGB imagery data
Seok Min Hong, Billie J. Morgan, Matthew Stocker, et al.
Water Research (2024) Vol. 260, pp. 121861-121861
Open Access | Times Cited: 12
Machine learning application for predicting key properties of activated carbon produced from lignocellulosic biomass waste with chemical activation
Rongge Zou, Zhibin Yang, Jiahui Zhang, et al.
Bioresource Technology (2024) Vol. 399, pp. 130624-130624
Closed Access | Times Cited: 10
Accelerated design of high-performance Mg-Mn-based magnesium alloys based on novel bayesian optimization
Xiaoxi Mi, Lili Dai, Xuerui Jing, et al.
Journal of Magnesium and Alloys (2024) Vol. 12, Iss. 2, pp. 750-766
Open Access | Times Cited: 9
Modeling CO2 solubility in water using gradient boosting and light gradient boosting machine
Atena Mahmoudzadeh, Behnam Amiri-Ramsheh, Saeid Atashrouz, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Machine learning analysis of rivaroxaban solubility in mixed solvents for application in pharmaceutical crystallization
Mohammed Alqarni, Ali Alqarni
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
ENHANCING EMPLOYEE ATTRITION PREDICTION: THE IMPACT OF DATA PREPROCESSING ON MACHINE LEARNING MODEL PERFORMANCE
Muhammad Garba, Musa Usman, Muhammad Saidu
FUDMA Journal of Sciences (2025) Vol. 9, Iss. 1, pp. 205-210
Closed Access | Times Cited: 1
Analysis of machine learning models and data sources to forecast burst pressure of petroleum corroded pipelines: A comprehensive review
Afzal Ahmed Soomro, Ainul Akmar Mokhtar, Hilmi Hussin, et al.
Engineering Failure Analysis (2023) Vol. 155, pp. 107747-107747
Closed Access | Times Cited: 18
A new method for dynamic predicting porosity and permeability of low permeability and tight reservoir under effective overburden pressure based on BP neural network
Dongliang Jiang, Hao Chen, Jianpeng Xing, et al.
Geoenergy Science and Engineering (2023) Vol. 226, pp. 211721-211721
Closed Access | Times Cited: 17
Fundamental error in tree-based machine learning model selection for reservoir characterisation
Daniel Asante Otchere
Energy Geoscience (2023), pp. 100229-100229
Open Access | Times Cited: 17
Dynamic real-time forecasting technique for reclaimed water volumes in urban river environmental management
Lina Zhang, Chao Wang, Wenbin Hu, et al.
Environmental Research (2024) Vol. 248, pp. 118267-118267
Closed Access | Times Cited: 7
Assessment of Advanced Machine and Deep Learning Approaches for Predicting CO2 Emissions from Agricultural Lands: Insights Across Diverse Agroclimatic Zones
Endre Harsányi, Morad Mirzaei, Sana Arshad, et al.
Earth Systems and Environment (2024) Vol. 8, Iss. 4, pp. 1109-1125
Open Access | Times Cited: 7
Examination of the efficacy of machine learning approaches in the generation of flood susceptibility maps
Mohamed Wahba, Mahmoud Sharaan, Wael M. Elsadek, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 14
Open Access | Times Cited: 7
Improving multi-month hydrological drought forecasting in a tropical region using hybridized extreme learning machine model with Beluga Whale Optimization algorithm
Mohammed Majeed Hameed, Siti Fatin Mohd Razali, Wan Hanna Melini Wan Mohtar, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 12, pp. 4963-4989
Closed Access | Times Cited: 16
Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties
Grace Amabel Tabaaza, Bennet Nii Tackie-Otoo, Dzulkarnain Zaini, et al.
Computational Toxicology (2023) Vol. 26, pp. 100266-100266
Closed Access | Times Cited: 15
Forecasting unconfined compressive strength of calcium sulfoaluminate cement mixtures using ensemble machine learning techniques integrated with shapely-additive explanations
Chathuranga Balasooriya Arachchilage, Guangping Huang, Chengkai Fan, et al.
Construction and Building Materials (2023) Vol. 409, pp. 134083-134083
Closed Access | Times Cited: 15
A deep learning based surrogate model for reservoir dynamic performance prediction
Sen Wang, Jie Xiang, Xiao Wang, et al.
Geoenergy Science and Engineering (2023) Vol. 233, pp. 212516-212516
Closed Access | Times Cited: 13
Incorporating novel input variable selection method for in the different water basins of Thailand
Muhammad Waqas, Usa Wannasingha Humphries, Angkool Wangwongchai, et al.
Alexandria Engineering Journal (2023) Vol. 86, pp. 557-576
Open Access | Times Cited: 13
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