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:
Novel Hybrid XGBoost Model to Forecast Soil Shear Strength Based on Some Soil Index Tests
Ehsan Momeni, Biao He, Yasin Abdi, et al.
Computer Modeling in Engineering & Sciences (2022) Vol. 136, Iss. 3, pp. 2527-2550
Open Access | Times Cited: 13
Ehsan Momeni, Biao He, Yasin Abdi, et al.
Computer Modeling in Engineering & Sciences (2022) Vol. 136, Iss. 3, pp. 2527-2550
Open Access | Times Cited: 13
Showing 13 citing articles:
Dimensionless Machine Learning: Dimensional Analysis to Improve LSSVM and ANN models and predict bearing capacity of circular foundations
Hongchao Li, Shahab Hosseini, Behrouz Gordan, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access | Times Cited: 2
Hongchao Li, Shahab Hosseini, Behrouz Gordan, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access | Times Cited: 2
Decision tree models for the estimation of geo-polymer concrete compressive strength
Ji Zhou, Zhanlin Su, Shahab Hosseini, et al.
Mathematical Biosciences & Engineering (2023) Vol. 21, Iss. 1, pp. 1413-1444
Open Access | Times Cited: 29
Ji Zhou, Zhanlin Su, Shahab Hosseini, et al.
Mathematical Biosciences & Engineering (2023) Vol. 21, Iss. 1, pp. 1413-1444
Open Access | Times Cited: 29
Optimization of an Artificial Neural Network Using Three Novel Meta-heuristic Algorithms for Predicting the Shear Strength of Soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari, et al.
Transportation Infrastructure Geotechnology (2023) Vol. 11, Iss. 4, pp. 1708-1729
Closed Access | Times Cited: 12
Ahsan Rabbani, Pijush Samui, Sunita Kumari, et al.
Transportation Infrastructure Geotechnology (2023) Vol. 11, Iss. 4, pp. 1708-1729
Closed Access | Times Cited: 12
A Hybrid Approach for Forecasting Occupancy of Building’s Multiple Space Types
Iqra Rafiq, Anzar Mahmood, Ubaid Ahmed, et al.
IEEE Access (2024) Vol. 12, pp. 50202-50216
Open Access | Times Cited: 4
Iqra Rafiq, Anzar Mahmood, Ubaid Ahmed, et al.
IEEE Access (2024) Vol. 12, pp. 50202-50216
Open Access | Times Cited: 4
Assessment on eco-solidified alkali residue reinforced soft soils for intelligent subgrade constructions
Jianhua Li, Zicheng Zhang, Xu Liu, et al.
Transportation Geotechnics (2025), pp. 101516-101516
Closed Access
Jianhua Li, Zicheng Zhang, Xu Liu, et al.
Transportation Geotechnics (2025), pp. 101516-101516
Closed Access
The Effects of Lime and Cement Addition on the Compaction and Shear Strength Parameters of Silty Soils
Andrzej Gruchot, Katarzyna Kamińska, Agnieszka Woś
Materials (2025) Vol. 18, Iss. 5, pp. 974-974
Open Access
Andrzej Gruchot, Katarzyna Kamińska, Agnieszka Woś
Materials (2025) Vol. 18, Iss. 5, pp. 974-974
Open Access
Elastic modulus estimation of weak rock samples using random forest technique
Yasin Abdi, Ehsan Momeni, Danial Jahed Armaghani
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 5
Closed Access | Times Cited: 9
Yasin Abdi, Ehsan Momeni, Danial Jahed Armaghani
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 5
Closed Access | Times Cited: 9
Sustainable Method for Determining Shear Strength Parameters by Machine Learning
Jnanendra Vijay Kumar Chorapalli, Soukat Kumar Das
Lecture notes in civil engineering (2025), pp. 1437-1450
Closed Access
Jnanendra Vijay Kumar Chorapalli, Soukat Kumar Das
Lecture notes in civil engineering (2025), pp. 1437-1450
Closed Access
Application of extreme gradient boosting in predicting the viscoelastic characteristics of graphene oxide modified asphalt at medium and high temperatures
Huong-Giang Thi Hoang, Hai‐Van Thi, Long Hoang Nguyen, et al.
Frontiers of Structural and Civil Engineering (2024) Vol. 18, Iss. 6, pp. 899-917
Closed Access | Times Cited: 1
Huong-Giang Thi Hoang, Hai‐Van Thi, Long Hoang Nguyen, et al.
Frontiers of Structural and Civil Engineering (2024) Vol. 18, Iss. 6, pp. 899-917
Closed Access | Times Cited: 1
Introduction to the Special Issue on Computational Intelligent Systems for Solving Complex Engineering Problems: Principles and Applications
Danial Jahed Armaghani, Ahmed Salih Mohammed, Ramesh Murlidhar Bhatawdekar, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 138, Iss. 3, pp. 2023-2027
Open Access | Times Cited: 3
Danial Jahed Armaghani, Ahmed Salih Mohammed, Ramesh Murlidhar Bhatawdekar, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 138, Iss. 3, pp. 2023-2027
Open Access | Times Cited: 3
Prediction of the tensile strength of a tropical wood species Terminalia superba assembled by gluing: a comparative intelligent study
Dzudie Fonsso Josué, Tjahe Agnès Virginie, Guy Edgar Ntamack, et al.
Geomechanics and Geoengineering (2024) Vol. 19, Iss. 6, pp. 1113-1125
Closed Access
Dzudie Fonsso Josué, Tjahe Agnès Virginie, Guy Edgar Ntamack, et al.
Geomechanics and Geoengineering (2024) Vol. 19, Iss. 6, pp. 1113-1125
Closed Access
Data-driven machine learning forecasting and design models for the tensile stress-strain response of UHPC
Mohammad Sadegh Barkhordari, Hussein Abad Gazi Jaaz, Akram Jawdhari
Structures (2024) Vol. 71, pp. 107965-107965
Closed Access
Mohammad Sadegh Barkhordari, Hussein Abad Gazi Jaaz, Akram Jawdhari
Structures (2024) Vol. 71, pp. 107965-107965
Closed Access
Digital Industrial Design Method in Architectural Design by Machine Learning Optimization: Towards Sustainable Construction Practices of Geopolymer Concrete
Xiaoyan Wang, Yantao Zhong, Fei Zhu, et al.
Buildings (2024) Vol. 14, Iss. 12, pp. 3998-3998
Open Access
Xiaoyan Wang, Yantao Zhong, Fei Zhu, et al.
Buildings (2024) Vol. 14, Iss. 12, pp. 3998-3998
Open Access
