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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:

An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity
Danial Jahed Armaghani, Hooman Harandizadeh, Ehsan Momeni, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 3, pp. 2313-2350
Closed Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm
Jian Zhou, Shuangli Zhu, Yingui Qiu, et al.
Acta Geotechnica (2022) Vol. 17, Iss. 4, pp. 1343-1366
Closed Access | Times Cited: 116
Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete
Liborio Cavaleri, Mohammad Sadegh Barkhordari, Constantinos C. Repapis, et al.
Construction and Building Materials (2022) Vol. 359, pp. 129504-129504
Closed Access | Times Cited: 108
Optimization of random forest through the use of MVO, GWO and MFO in evaluating the stability of underground entry-type excavations
Jian Zhou, Shuai Huang, Yingui Qiu
Tunnelling and Underground Space Technology (2022) Vol. 124, pp. 104494-104494
Closed Access | Times Cited: 99
Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential
Jian Zhou, Shuai Huang, Tao Zhou, et al.
Artificial Intelligence Review (2022) Vol. 55, Iss. 7, pp. 5673-5705
Closed Access | Times Cited: 96
Data-Driven Compressive Strength Prediction of Fly Ash Concrete Using Ensemble Learner Algorithms
Mohammad Sadegh Barkhordari, Danial Jahed Armaghani, Ahmed Salih Mohammed, et al.
Buildings (2022) Vol. 12, Iss. 2, pp. 132-132
Open Access | Times Cited: 82
Assessment of tunnel blasting-induced overbreak: A novel metaheuristic-based random forest approach
Biao He, Danial Jahed Armaghani, Sai Hin Lai
Tunnelling and Underground Space Technology (2023) Vol. 133, pp. 104979-104979
Closed Access | Times Cited: 76
Prediction of bearing capacity of pile foundation using deep learning approaches
Manish Kumar, Divesh Ranjan Kumar, Jitendra Khatti, et al.
Frontiers of Structural and Civil Engineering (2024) Vol. 18, Iss. 6, pp. 870-886
Closed Access | Times Cited: 30
A survey on binary metaheuristic algorithms and their engineering applications
Jeng‐Shyang Pan, Pei Hu, Václav Snåšel, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 7, pp. 6101-6167
Open Access | Times Cited: 65
Prediction of Probability of Liquefaction Using Soft Computing Techniques
Divesh Ranjan Kumar, Pijush Samui, Avijit Burman
Journal of The Institution of Engineers (India) Series A (2022) Vol. 103, Iss. 4, pp. 1195-1208
Closed Access | Times Cited: 58
Cross-correlation stacking-based microseismic source location using three metaheuristic optimization algorithms
Jian Zhou, Xiaojie Shen, Yingui Qiu, et al.
Tunnelling and Underground Space Technology (2022) Vol. 126, pp. 104570-104570
Closed Access | Times Cited: 48
COSMA-RF: New intelligent model based on chaos optimized slime mould algorithm and random forest for estimating the peak cutting force of conical picks
Jian Zhou, Yong Dai, Kun Du, et al.
Transportation Geotechnics (2022) Vol. 36, pp. 100806-100806
Closed Access | Times Cited: 42
Intelligent based decision-making strategy to predict fire intensity in subsurface engineering environments
Muhammad Kamran, Ridho Kresna Wattimena, Danial Jahed Armaghani, et al.
Process Safety and Environmental Protection (2023) Vol. 171, pp. 374-384
Closed Access | Times Cited: 37
Several Tree-Based Solutions for Predicting Flyrock Distance Due to Mine Blasting
Mojtaba Yari, Danial Jahed Armaghani, Chrysanthos Maraveas, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1345-1345
Open Access | Times Cited: 31
Novel neural network-based metaheuristic models for the stability prediction of rectangular trapdoors in anisotropic and non-homogeneous clay
Kongtawan Sangjinda, Divesh Ranjan Kumar, Suraparb Keawsawasvong, et al.
Advances in Engineering Software (2024) Vol. 193, pp. 103668-103668
Closed Access | Times Cited: 13
Enhancing predictive accuracy: a comprehensive study of optimized machine learning models for ultimate load-carrying capacity prediction in SCFST columns
Megha Gupta, Satya Prakash, Sufyan Ghani
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 4, pp. 3081-3098
Closed Access | Times Cited: 12
Complex-valued artificial hummingbird algorithm for global optimization and short-term wind speed prediction
Liuyan Feng, Yongquan Zhou, Qifang Luo, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123160-123160
Closed Access | Times Cited: 9
Estimation of powder factor in mine blasting: feasibility of tree-based predictive models
Danial Jahed Armaghani, Mohammad Hayati, Ehsan Momeni, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 2
Open Access | Times Cited: 1
Hybrid machine learning models for predicting compressive strength of self-compacting concrete: an integration of ANFIS and Metaheuristic algorithm
Somdutta, Baboo Rai
Nondestructive Testing And Evaluation (2025), pp. 1-33
Closed Access | Times Cited: 1
Machine Learning-Based Intelligent Prediction of Elastic Modulus of Rocks at Thar Coalfield
Niaz Muhammad Shahani, Xigui Zheng, Xiaowei Guo, et al.
Sustainability (2022) Vol. 14, Iss. 6, pp. 3689-3689
Open Access | Times Cited: 36
A Kernel Extreme Learning Machine-Grey Wolf Optimizer (KELM-GWO) Model to Predict Uniaxial Compressive Strength of Rock
Chuanqi Li, Jian Zhou, Daniel Dias, et al.
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8468-8468
Open Access | Times Cited: 34
Proposing several hybrid SSA—machine learning techniques for estimating rock cuttability by conical pick with relieved cutting modes
Jian Zhou, Yong Dai, Shuai Huang, et al.
Acta Geotechnica (2022) Vol. 18, Iss. 3, pp. 1431-1446
Closed Access | Times Cited: 32
Multiscale monitoring of industrial chemical process using wavelet-entropy aided machine learning approach
Husnain Ali, Zheng Zhang, Furong Gao
Process Safety and Environmental Protection (2023) Vol. 180, pp. 1053-1075
Closed Access | Times Cited: 23
Microseismic Location in Hardrock Metal Mines by Machine Learning Models Based on Hyperparameter Optimization Using Bayesian Optimizer
Jian Zhou, Xiaojie Shen, Yingui Qiu, et al.
Rock Mechanics and Rock Engineering (2023) Vol. 56, Iss. 12, pp. 8771-8788
Closed Access | Times Cited: 22
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: 22
Development of Z number-based fuzzy inference system to predict bearing capacity of circular foundations
Shahab Hosseini, Behrouz Gordan, Erol Kalkan
Artificial Intelligence Review (2024) Vol. 57, Iss. 6
Open Access | Times Cited: 7
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