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:
Bearing Capacity of Eccentrically Loaded Footings on Rock Masses Using Soft Computing Techniques
Divesh Ranjan Kumar, Pijush Samui, Warit Wipulanusat, et al.
Engineered Science (2023)
Open Access | Times Cited: 11
Divesh Ranjan Kumar, Pijush Samui, Warit Wipulanusat, et al.
Engineered Science (2023)
Open Access | Times Cited: 11
Showing 11 citing articles:
Machine learning approaches for stability prediction of rectangular tunnels in natural clays based on MLP and RBF neural networks
Wittaya Jitchaijaroen, Suraparb Keawsawasvong, Warit Wipulanusat, et al.
Intelligent Systems with Applications (2024) Vol. 21, pp. 200329-200329
Open Access | Times Cited: 22
Wittaya Jitchaijaroen, Suraparb Keawsawasvong, Warit Wipulanusat, et al.
Intelligent Systems with Applications (2024) Vol. 21, pp. 200329-200329
Open Access | Times Cited: 22
Development of hybrid gradient boosting models for predicting the compressive strength of high-volume fly ash self-compacting concrete with silica fume
Rakesh Kumar, Shashikant Kumar, Baboo Rai, et al.
Structures (2024) Vol. 66, pp. 106850-106850
Closed Access | Times Cited: 14
Rakesh Kumar, Shashikant Kumar, Baboo Rai, et al.
Structures (2024) Vol. 66, pp. 106850-106850
Closed Access | Times Cited: 14
Stochastic Analysis of Safety Factors for Buried Box Pipelines in Spatially Random Clay
Khamnoy Kounlavong, Jim Shiau, Kongtawan Sangjinda, et al.
Geotechnical and Geological Engineering (2025) Vol. 43, Iss. 2
Closed Access | Times Cited: 1
Khamnoy Kounlavong, Jim Shiau, Kongtawan Sangjinda, et al.
Geotechnical and Geological Engineering (2025) Vol. 43, Iss. 2
Closed Access | Times Cited: 1
Development of a prediction tool for the compressive strength of ternary blended ultra-high performance concrete using machine learning techniques
Rakesh Kumar, Shubhum Prakash, Baboo Rai, et al.
Journal of Structural Integrity and Maintenance (2024) Vol. 9, Iss. 3
Closed Access | Times Cited: 10
Rakesh Kumar, Shubhum Prakash, Baboo Rai, et al.
Journal of Structural Integrity and Maintenance (2024) Vol. 9, Iss. 3
Closed Access | Times Cited: 10
Optimized neural network-based state-of-the-art soft computing models for the bearing capacity of strip footings subjected to inclined loading
Divesh Ranjan Kumar, Warit Wipulanusat, Manish Kumar, et al.
Intelligent Systems with Applications (2023) Vol. 21, pp. 200314-200314
Open Access | Times Cited: 20
Divesh Ranjan Kumar, Warit Wipulanusat, Manish Kumar, et al.
Intelligent Systems with Applications (2023) Vol. 21, pp. 200314-200314
Open Access | Times Cited: 20
Performance Evaluation and Triangle Diagram of Deep Learning Models for Embedment Depth Prediction in Cantilever Sheet Piles
Thalappil Pradeep, Divesh Ranjan Kumar, Nitish Kumar, et al.
Engineered Science (2024)
Open Access | Times Cited: 6
Thalappil Pradeep, Divesh Ranjan Kumar, Nitish Kumar, et al.
Engineered Science (2024)
Open Access | Times Cited: 6
Mean Limiting Pressure Factors Determination in Contiguous Pile Walls using RAFELA and Nonlinear Regression Models in Spatially Random Soil
Divesh Ranjan Kumar, Sittha Kaorapapong, Warit Wipulanusat, et al.
Results in Engineering (2025), pp. 104436-104436
Open Access
Divesh Ranjan Kumar, Sittha Kaorapapong, Warit Wipulanusat, et al.
Results in Engineering (2025), pp. 104436-104436
Open Access
Estimation of the Compressive Strength of Ultrahigh Performance Concrete using Machine Learning Models
Rakesh Kumar, Divesh Ranjan Kumar, Warit Wipulanusat, et al.
Intelligent Systems with Applications (2024) Vol. 25, pp. 200471-200471
Open Access | Times Cited: 4
Rakesh Kumar, Divesh Ranjan Kumar, Warit Wipulanusat, et al.
Intelligent Systems with Applications (2024) Vol. 25, pp. 200471-200471
Open Access | Times Cited: 4
Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses
Divesh Ranjan Kumar, Pijush Samui, Warit Wipulanusat, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 4153-4168
Closed Access | Times Cited: 11
Divesh Ranjan Kumar, Pijush Samui, Warit Wipulanusat, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 4153-4168
Closed Access | Times Cited: 11
Application of Advanced Machine Learning Models for Uplift and Penetration Resistance in Clay-Embedded Dual Interfering Pipelines
Divesh Ranjan Kumar, Warit Wipulanusat, Suraparb Keawsawasvong
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 5, pp. 6493-6517
Closed Access | Times Cited: 2
Divesh Ranjan Kumar, Warit Wipulanusat, Suraparb Keawsawasvong
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 5, pp. 6493-6517
Closed Access | Times Cited: 2
An application of coupling RAFELA and CatBoost model for tunnel stability prediction by considering the nonstationary random field of undrained shear strength
Kongtawan Sangjinda, Suraparb Keawsawasvong, Thanh Son Nguyen, et al.
Modeling Earth Systems and Environment (2024) Vol. 11, Iss. 1
Closed Access
Kongtawan Sangjinda, Suraparb Keawsawasvong, Thanh Son Nguyen, et al.
Modeling Earth Systems and Environment (2024) Vol. 11, Iss. 1
Closed Access
