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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:

Machine learning-assisted distinct element model calibration: ANFIS, SVM, GPR, and MARS approaches
Hadi Fathipour‐Azar
Acta Geotechnica (2021) Vol. 17, Iss. 4, pp. 1207-1217
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Machine learning predicts and optimizes hydrothermal liquefaction of biomass
Alireza Shafizadeh, Hossein Shahbeig, Mohammad Hossein Nadian, et al.
Chemical Engineering Journal (2022) Vol. 445, pp. 136579-136579
Closed Access | Times Cited: 145
Displacement prediction of Jiuxianping landslide using gated recurrent unit (GRU) networks
Wengang Zhang, Hongrui Li, Libin Tang, et al.
Acta Geotechnica (2022) Vol. 17, Iss. 4, pp. 1367-1382
Closed Access | Times Cited: 118
Predicting triaxial compressive strength of high-temperature treated rock using machine learning techniques
Xunjian Hu, Junjie Shentu, Ni Xie, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 15, Iss. 8, pp. 2072-2082
Open Access | Times Cited: 60
Optimized machine learning modelling for predicting the construction cost and duration of tunnelling projects
Arsalan Mahmoodzadeh, Hamid Reza Nejati, Mokhtar Mohammadi
Automation in Construction (2022) Vol. 139, pp. 104305-104305
Closed Access | Times Cited: 51
Assessing the significance of the particle size of Ganga sand Sone sand and bentonite mixtures for hydraulic containment liners integrated with machine learning-based UCS predictions
Rajiv Kumar, Divesh Ranjan Kumar, Sunita Kumari, et al.
Construction and Building Materials (2025) Vol. 465, pp. 140236-140236
Closed Access | Times Cited: 1
A novel machine learning framework for efficient calibration of complex DEM model: A case study of a conglomerate sample
Junjie Shentu, Botao Lin
Engineering Fracture Mechanics (2023) Vol. 279, pp. 109044-109044
Closed Access | Times Cited: 22
Spatiotemporal analysis of meteorological drought across China based on the high-spatial-resolution multiscale SPI generated by machine learning
Qian He, Ming Wang, Kai Liu, et al.
Weather and Climate Extremes (2023) Vol. 40, pp. 100567-100567
Open Access | Times Cited: 22
Parameter calibration method of clustered-particle logic concrete DEM model using BP neural network-particle swarm optimisation algorithm (BP-PSO) inversion method
Xupeng Pan, Yanwei Niu, Yu Zhao, et al.
Engineering Fracture Mechanics (2023) Vol. 292, pp. 109659-109659
Closed Access | Times Cited: 18
High-resolution Standardized Precipitation Evapotranspiration Index (SPEI) reveals trends in drought and vegetation water availability in China
Qian He, Ming Wang, Kai Liu, et al.
Geography and sustainability (2024)
Open Access | Times Cited: 7
Data-driven estimation of joint roughness coefficient
Hadi Fathipour‐Azar
Journal of Rock Mechanics and Geotechnical Engineering (2021) Vol. 13, Iss. 6, pp. 1428-1437
Open Access | Times Cited: 39
Cracking behavior and acoustic emission characteristics of heterogeneous granite with double pre-existing filled flaws and a circular hole under uniaxial compression: Insights from grain-based discrete element method modeling
Xunjian Hu, Xiaonan Gong, Haibo Hu, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 4
Closed Access | Times Cited: 28
Developing six hybrid machine learning models based on gaussian process regression and meta-heuristic optimization algorithms for prediction of duration and cost of road tunnels construction
Arsalan Mahmoodzadeh, Hamid Reza Nejati, Mokhtar Mohammadi, et al.
Tunnelling and Underground Space Technology (2022) Vol. 130, pp. 104759-104759
Closed Access | Times Cited: 25
Machine Learning-Based Rainfall Forecasting with Multiple Non-Linear Feature Selection Algorithms
Prabal Das, D. A. Sachindra, Kironmala Chanda
Water Resources Management (2022) Vol. 36, Iss. 15, pp. 6043-6071
Closed Access | Times Cited: 24
A methodology for calibrating parameters in discrete element models based on machine learning surrogates
Joaquín Irazábal González, Fernando Salazar, David Vicente
Computational Particle Mechanics (2023) Vol. 10, Iss. 5, pp. 1031-1047
Closed Access | Times Cited: 15
New interpretable shear strength criterion for rock joints
Hadi Fathipour‐Azar
Acta Geotechnica (2022) Vol. 17, Iss. 4, pp. 1327-1341
Closed Access | Times Cited: 22
Shear Strength Criterion for Rock Discontinuities: A Comparative Study of Regression Approaches
Hadi Fathipour‐Azar
Rock Mechanics and Rock Engineering (2023) Vol. 56, Iss. 7, pp. 4715-4725
Closed Access | Times Cited: 13
Polyaxial Rock Failure Criteria: Insights from Explainable and Interpretable Data-Driven Models
Hadi Fathipour‐Azar
Rock Mechanics and Rock Engineering (2022) Vol. 55, Iss. 4, pp. 2071-2089
Closed Access | Times Cited: 18
Multi-level Machine Learning-Driven Tunnel Squeezing Prediction: Review and New Insights
Hadi Fathipour‐Azar
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 5493-5509
Closed Access | Times Cited: 18
Stacking Ensemble Machine Learning-Based Shear Strength Model for Rock Discontinuity
Hadi Fathipour‐Azar
Geotechnical and Geological Engineering (2022) Vol. 40, Iss. 6, pp. 3091-3106
Closed Access | Times Cited: 17
Calibration of DEM input parameters for simulation of the cohesive materials: Comparison of response surface method and machine learning models
Behrooz Jadidi, Mohammadreza Ebrahimi, Farhad Ein‐Mozaffari, et al.
Particuology (2025)
Open Access
Machine learning-driven parameter calibration for the FDEM model in weathered rock seabed
Bo Han, Chunlei Zhang, Genqiang Peng, et al.
Marine Georesources and Geotechnology (2025), pp. 1-13
Closed Access
An analytical optimal calibration framework of bonded particle model for rock strength envelop modelling
Xiaoxiong Zhou, Hongyi Xu, Qiuming Gong, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Hybrid machine learning-based triaxial jointed rock mass strength
Hadi Fathipour‐Azar
Environmental Earth Sciences (2022) Vol. 81, Iss. 4
Closed Access | Times Cited: 15
Artificial intelligence for computational granular media
Tongming Qu, Jidong Zhao, Y.T. Feng
Computers and Geotechnics (2025) Vol. 185, pp. 107310-107310
Closed Access
Modeling crack propagation in heterogeneous granite using grain-based phase field method
Xunjian Hu, Xiaonan Gong, Ni Xie, et al.
Theoretical and Applied Fracture Mechanics (2021) Vol. 117, pp. 103203-103203
Closed Access | Times Cited: 20
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