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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:

Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models
Mahdi Hasanipanah, Mehdi Jamei, Ahmed Salih Mohammed, et al.
Earth Science Informatics (2022) Vol. 15, Iss. 3, pp. 1659-1669
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Analysis and prediction of the effect of Nanosilica on the compressive strength of concrete with different mix proportions and specimen sizes using various numerical approaches
Reyam Ali, Maryam Muayad, Ahmed Salih Mohammed, et al.
Structural Concrete (2022) Vol. 24, Iss. 3, pp. 4161-4184
Closed Access | Times Cited: 92
The impact of GGBS and ferrous on the flow of electrical current and compressive strength of concrete
Nzar Shakr Piro, Ahmed Salih Mohammed, Samir M. Hamad
Construction and Building Materials (2022) Vol. 349, pp. 128639-128639
Closed Access | Times Cited: 57
Prediction of probability of liquefaction using hybrid ANN with optimization techniques
Divesh Ranjan Kumar, Pijush Samui, Avijit Burman
Arabian Journal of Geosciences (2022) Vol. 15, Iss. 20
Closed Access | Times Cited: 38
An intelligent approach for predicting overbreak in underground blasting operation based on an optimized XGBoost model
Zhixian Hong, Ming Tao, Leilei Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107097-107097
Closed Access | Times Cited: 29
A comparative study on the development of hybrid SSA-RF and PSO-RF models for predicting the uniaxial compressive strength of rocks
Meng Wang, Guoyan Zhao, Weizhang Liang, et al.
Case Studies in Construction Materials (2023) Vol. 18, pp. e02191-e02191
Open Access | Times Cited: 25
Generalized uncertainty in surrogate models for concrete strength prediction
Mohammad Amin Hariri‐Ardebili, Golsa Mahdavi
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106155-106155
Closed Access | Times Cited: 20
Machine learning for prediction of the uniaxial compressive strength within carbonate rocks
Mohamed Abdelhedi, Rateb Jabbar, Ahmed Ben Said, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 2, pp. 1473-1487
Closed Access | Times Cited: 19
Effect of Data Augmentation Using Deep Learning on Predictive Models for Geopolymer Compressive Strength
Ho Anh Thu Nguyen, Duy Hoang Pham, Yonghan Ahn
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3601-3601
Open Access | Times Cited: 7
Hard rock drilling characteristics under axial-torsional isofrequency impact: Insights for improving efficiency of deep energy mineral excavation
Zhaowei Sun, Zongjie Mu, Zhongwei Huang, et al.
Geoenergy Science and Engineering (2024) Vol. 240, pp. 213089-213089
Closed Access | Times Cited: 5
Hybrid machine learning approach for accurate prediction of the drilling rock index
Niaz Muhammad Shahani, Xigui Zheng, Xin Wei, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Effective Machine-Learning Models for Rock Mass Deformation Modulus Estimation Based on Rock Mass Classification Systems
Mohammad Khajehzadeh, Suraparb Keawsawasvong, Mohammad Reza Motahari, et al.
Engineered Science (2024)
Open Access | Times Cited: 4
Optimizing fracture toughness estimation for rock structures: A soft computing approach with GWO and IWO algorithms
Hadi Fattahi, Hossein Ghaedi, Danial Jahed Armaghani
Measurement (2024) Vol. 238, pp. 115306-115306
Open Access | Times Cited: 4
Enhanced slope stability prediction using ensemble machine learning techniques
Devendra Kumar Yadav, Swarup Chattopadhyay, Debi Prasad Tripathy, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Assessment of mechanical properties of rock using deep learning approaches
Xiaohua Ding, Mahdi Hasanipanah, Mohammad Rezaei
Measurement (2025), pp. 117180-117180
Closed Access
Prediction of slope stability based on five machine learning techniques approaches: a comparative study
Soe Hlaing Tun, Chusheng Zeng, F Guimaraes Silvio Jamil
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 5
Closed Access
Predicting Rock Brittleness Using a Robust Evolutionary Programming Paradigm and Regression-Based Feature Selection Model
Mehdi Jamei, Ahmed Salih Mohammed, Iman Ahmadianfar, et al.
Applied Sciences (2022) Vol. 12, Iss. 14, pp. 7101-7101
Open Access | Times Cited: 17
Multifunctional computational models to predict the long‐term compressive strength of concrete incorporated with waste steel slag
Nzar Shakr Piro, Ahmed Salih Mohammed, Samir M. Hamad, et al.
Structural Concrete (2022) Vol. 24, Iss. 2, pp. 2093-2112
Closed Access | Times Cited: 16
Intelligent ground vibration prediction in surface mines using an efficient soft computing method based on field data
Behrooz Keshtegar, Jamshid Piri, Rini Asnida Abdullah, et al.
Frontiers in Public Health (2023) Vol. 10
Open Access | Times Cited: 9
Prediction of Thermal Coal Ash Behavior of South African Coals: Comparative Applications of ANN, GPR, and SVR
Abiodun Ismail Lawal, Moshood Onifade, Samson Bada, et al.
Natural Resources Research (2023) Vol. 32, Iss. 3, pp. 1399-1413
Closed Access | Times Cited: 9
Estimation of slope stability using ensemble-based hybrid machine learning approaches
Prashanth Ragam, Narendra Kumar, J Ajith, et al.
Frontiers in Materials (2024) Vol. 11
Open Access | Times Cited: 3
Optimized ANN-based surrogate models for evaluating the stability of trapdoors in Hoek‒Brown rock masses
Kongtawan Sangjinda, Suraparb Keawsawasvong, Pitthaya Jamsawang, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 3
Machine learning based inversion for earth rock dam compaction density
Chen Li, Guozhong Gao
Developments in the Built Environment (2023) Vol. 15, pp. 100213-100213
Open Access | Times Cited: 8
deforce: Derivative-free algorithms for optimizing Cascade Forward Neural Networks
Nguyen Van Thieu, Hoang Nguyen, Harish Garg, et al.
Software Impacts (2024) Vol. 21, pp. 100675-100675
Closed Access | Times Cited: 2
Machine-learning method applied to provide the best predictive model for rock mass deformability modulus (Em)
Enayatallah Emami Meybodi, Ali DastBaravarde, Syed Khaliq Hussain, et al.
Environmental Earth Sciences (2023) Vol. 82, Iss. 6
Closed Access | Times Cited: 6
Improved Prediction of Slope Stability under Static and Dynamic Conditions Using Tree-Based Models
Feezan Ahmad, Xiaowei Tang, Jilei Hu, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 137, Iss. 1, pp. 455-487
Open Access | Times Cited: 5
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