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:
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: 13
Leonardo Goliatt, Camila Martins Saporetti, Egberto Pereira
Fuel (2023) Vol. 353, pp. 128682-128682
Closed Access | Times Cited: 13
Showing 13 citing articles:
Machine learning-driven feature importance appraisal of seismic parameters on tunnel damage and seismic fragility prediction
Qi Wang, Ping Geng, Liangjie Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109101-109101
Closed Access | Times Cited: 6
Qi Wang, Ping Geng, Liangjie Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109101-109101
Closed Access | Times Cited: 6
Novel Integrated Model Approach for High Cycle Fatigue Life and Reliability Assessment of Helicopter Flange Structures
Yi-Pin Sun, Jiongran Wen, Jiansheng Li, et al.
Aerospace (2025) Vol. 12, Iss. 2, pp. 78-78
Open Access
Yi-Pin Sun, Jiongran Wen, Jiansheng Li, et al.
Aerospace (2025) Vol. 12, Iss. 2, pp. 78-78
Open Access
Stratified Metamodeling to Predict Concrete Compressive Strength Using an Optimized Dual-Layered Architectural Framework
Geraldo F. Neto, Bruno da S. Macêdo, Tales Humberto de Aquino Boratto, et al.
Mathematical and Computational Applications (2025) Vol. 30, Iss. 1, pp. 16-16
Open Access
Geraldo F. Neto, Bruno da S. Macêdo, Tales Humberto de Aquino Boratto, et al.
Mathematical and Computational Applications (2025) Vol. 30, Iss. 1, pp. 16-16
Open Access
Screening Estimates of Bioaccumulation Factors for 4950 Per- and Polyfluoroalkyl Substances in Aquatic Species
Qi Wang, Bixuan Wang, Ting Hou, et al.
Journal of Hazardous Materials (2025) Vol. 489, pp. 137672-137672
Closed Access
Qi Wang, Bixuan Wang, Ting Hou, et al.
Journal of Hazardous Materials (2025) Vol. 489, pp. 137672-137672
Closed Access
Robust fracture intensity estimation from petrophysical logs and mud loss data: a multi-level ensemble modeling approach
Ahmad Azadivash, Hosseinali Soleymani, Atrina Seifirad, et al.
Journal of Petroleum Exploration and Production Technology (2024) Vol. 14, Iss. 7, pp. 1859-1878
Open Access | Times Cited: 4
Ahmad Azadivash, Hosseinali Soleymani, Atrina Seifirad, et al.
Journal of Petroleum Exploration and Production Technology (2024) Vol. 14, Iss. 7, pp. 1859-1878
Open 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
Yi Liu, Na Li, Chengyong Li, et al.
Energy & Fuels (2024) Vol. 38, Iss. 18, pp. 17483-17498
Closed Access | Times Cited: 4
A machine learning and CFD modeling hybrid approach for predicting real-time heat transfer during cokemaking processes
Pengxiang Zhao, Yunze Hui, Yuhang Qiu, et al.
Fuel (2024) Vol. 373, pp. 132273-132273
Open Access | Times Cited: 3
Pengxiang Zhao, Yunze Hui, Yuhang Qiu, et al.
Fuel (2024) Vol. 373, pp. 132273-132273
Open Access | Times Cited: 3
A novel stacking ensemble learner for predicting residual strength of corroded pipelines
Qiankun Wang, Hongfang Lü
npj Materials Degradation (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 3
Qiankun Wang, Hongfang Lü
npj Materials Degradation (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 3
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
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
Total organic carbon content estimation for mixed shale using Xgboost method and implication for shale oil exploration
Yuhang Zhang, Guanlong Zhang, Weiwei Zhao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Yuhang Zhang, Guanlong Zhang, Weiwei Zhao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Comparative Analysis: Machine Learning Algorithms for TOC Prediction in Pharmaceutical Water Treatment Systems
Dieki Rian Mustapa, Aris Tjahyanto
Jurnal Sisfokom (Sistem Informasi dan Komputer) (2024) Vol. 13, Iss. 2, pp. 253-260
Open Access | Times Cited: 1
Dieki Rian Mustapa, Aris Tjahyanto
Jurnal Sisfokom (Sistem Informasi dan Komputer) (2024) Vol. 13, Iss. 2, pp. 253-260
Open Access | Times Cited: 1
Comparison of Three Machine Learning Approaches in Determining Total Organic Carbon (TOC): A Case Study from Marcellus Shale Formation, New York State
Danijela Dimitrijevic, Constantin Crânganu
Springer eBooks (2024), pp. 75-95
Closed Access
Danijela Dimitrijevic, Constantin Crânganu
Springer eBooks (2024), pp. 75-95
Closed Access
Risk Prediction of Diabetes based on Stacking Machine Learning Model
Xin Guo, Yang Yang, Lei Bao, et al.
(2023), pp. 53-58
Closed Access
Xin Guo, Yang Yang, Lei Bao, et al.
(2023), pp. 53-58
Closed Access
