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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:

Hybrid machine learning models for estimating total organic carbon from mineral constituents in core samples of shale gas fields
Camila Martins Saporetti, Douglas L. Fonseca, L. C. Oliveira, et al.
Marine and Petroleum Geology (2022) Vol. 143, pp. 105783-105783
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Organic-rich source rock/H2/brine interactions: Implications for underground hydrogen storage and methane production
Ahmed Al‐Yaseri, Israa S. Abu‐Mahfouz, Nurudeen Yekeen, et al.
Journal of Energy Storage (2023) Vol. 63, pp. 106986-106986
Closed Access | Times Cited: 27
A novel deep learning method based on 2-D CNNs and GRUs for permeability prediction of tight sandstone
Yinhong Tian, Guiwen Wang, Hongbin Li, et al.
Geoenergy Science and Engineering (2024) Vol. 238, pp. 212851-212851
Closed Access | Times Cited: 9
Prediction of TOC Content in Organic-Rich Shale Using Machine Learning Algorithms: Comparative Study of Random Forest, Support Vector Machine, and XGBoost
Jiangtao Sun, Wei Dang, Fengqin Wang, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4159-4159
Open Access | Times Cited: 20
Performance of evolutionary optimized machine learning for modeling total organic carbon in core samples of shale gas fields
Leonardo Goliatt, Camila Martins Saporetti, L. C. Oliveira, et al.
Petroleum (2023) Vol. 10, Iss. 1, pp. 150-164
Open Access | Times Cited: 16
Deep learning integrated approach for hydrocarbon source rock evaluation and geochemical indicators prediction in the Jurassic - Paleogene of the Mandawa basin, SE Tanzania
Christopher N. Mkono, Chuanbo Shen, Alvin K. Mulashani, et al.
Energy (2023) Vol. 284, pp. 129232-129232
Closed Access | Times Cited: 15
Development of hybrid computational data-intelligence model for flowing bottom-hole pressure of oil wells: New strategy for oil reservoir management and monitoring
Leonardo Goliatt, Reem Sabah Mohammad, Sani I. Abba, et al.
Fuel (2023) Vol. 350, pp. 128623-128623
Closed Access | Times Cited: 14
Super learner approach to predict total organic carbon using stacking machine learning models based on well logs
Leonardo Goliatt, Camila Martins Saporetti, Egberto Pereira
Fuel (2023) Vol. 353, pp. 128682-128682
Closed Access | Times Cited: 14
Machine learning assisted Kriging to capture spatial variability in petrophysical property modelling
Mobarakeh Mohammadpour, Hamid Roshan, Mehrdad Arashpour, et al.
Marine and Petroleum Geology (2024) Vol. 167, pp. 106967-106967
Open Access | Times Cited: 4
A Novel Hybrid Machine Learning Approach and Basin Modeling for Thermal Maturity Estimation of Source Rocks in Mandawa Basin, East Africa
Christopher N. Mkono, Chuanbo Shen, Alvin K. Mulashani, et al.
Natural Resources Research (2024) Vol. 33, Iss. 5, pp. 2089-2112
Closed Access | Times Cited: 4
Prediction of Total Organic Carbon Content in Deep Marine Shale Reservoirs Based on a Super Hybrid Machine Learning Model
Yi Liu, Na Li, Chengyong Li, et al.
Energy & Fuels (2024) Vol. 38, Iss. 18, pp. 17483-17498
Closed Access | Times Cited: 4
Transitional shale reservoir quality evaluation based on Random Forest algorithm—a case study of the Shanxi Formation, eastern Ordos Basin, China
Wanli Gao, Qin Zhang, Jingtao Zhao, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access
A Review of AI Applications in Unconventional Oil and Gas Exploration and Development
Feiyu Chen, Linghui Sun, Siyu Jian, et al.
Energies (2025) Vol. 18, Iss. 2, pp. 391-391
Open Access
A novel hybrid group method of data handling and Levenberg Marquardt model for estimating total organic carbon in source rocks with explainable artificial intelligence
Christopher N. Mkono, Chuanbo Shen, Alvin K. Mulashani, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110137-110137
Closed Access
Integrated Framework of Total Organic Carbon (TOC) Content Prediction and Application in Shale
Lu Qiao, Shengyu Yang, Qinhong Hu, et al.
Geoenergy Science and Engineering (2025), pp. 213811-213811
Closed Access
Data-driven total organic carbon prediction using feature selection methods incorporated in an automated machine learning framework
Bruno da Silva Macêdo, Dennis Delali Kwesi Wayo, Deivid Campos, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Hybrid particle swarm optimization and group method of data handling for short-term prediction of natural daily streamflows
Danilo P. M. de Souza, Alfeu D. Martinho, Caio C. Rocha, et al.
Modeling Earth Systems and Environment (2022) Vol. 8, Iss. 4, pp. 5743-5759
Closed Access | Times Cited: 20
Approaches for the short-term prediction of natural daily streamflows using hybrid machine learning enhanced with grey wolf optimization
Alfeu D. Martinho, Camila Martins Saporetti, Leonardo Goliatt
Hydrological Sciences Journal (2022) Vol. 68, Iss. 1, pp. 16-33
Closed Access | Times Cited: 19
A New Insight for Daily Solar Radiation Prediction by Meteorological Data Using an Advanced Artificial Intelligence Algorithm: Deep Extreme Learning Machine Integrated with Variational Mode Decomposition Technique
Meysam Alizamir, Kaywan Othman Ahmed, Jalal Shiri, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 11275-11275
Open Access | Times Cited: 11
Short-term streamflow modeling using data-intelligence evolutionary machine learning models
Alfeu D. Martinho, Henrique S. Hippert, Leonardo Goliatt
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Hybridized machine learning models for phosphate pollution modeling in water systems for multiple uses
Tales Humberto de Aquino Boratto, Deivid E.D. Campos, Douglas L. Fonseca, et al.
Journal of Water Process Engineering (2024) Vol. 64, pp. 105598-105598
Closed Access | Times Cited: 2
Conjunct applicability of MCDM-based machine learning algorithms in mapping the sediment formation potential
Ali Nasiri Khiavi, Mohammad Tavoosi, Faezeh Kamari Yekdangi, et al.
Environment Development and Sustainability (2024)
Open Access | Times Cited: 2
Global horizontal irradiance modeling from environmental inputs using machine learning with automatic model selection
Samuel da Costa Alves Basílio, Camila Martins Saporetti, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, et al.
Environmental Development (2022) Vol. 44, pp. 100766-100766
Closed Access | Times Cited: 8
Machine learning algorithm optimization for intelligent prediction of rock thermal conductivity: A case study from a whole-cored scientific drilling borehole
Yumao Pang, Bingbing Shi, Xingwei Guo, et al.
Geothermics (2023) Vol. 111, pp. 102711-102711
Closed Access | Times Cited: 4
Integrated well-log data and seismic inversion results for prediction of hydrocarbon source rock distribution in W segment, Pearl River Mouth Basin, China
Weihua Jia, Zhaoyun Zong, Dewen Qin, et al.
Geoenergy Science and Engineering (2023) Vol. 230, pp. 212233-212233
Closed Access | Times Cited: 3
Data-driven cymbal bronze alloy identification via evolutionary machine learning with automatic feature selection
Tales Humberto de Aquino Boratto, Camila Martins Saporetti, Samuel C. A. Basílio, et al.
Journal of Intelligent Manufacturing (2022) Vol. 35, Iss. 1, pp. 257-273
Closed Access | Times Cited: 4
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