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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:

Prediction of Pile Bearing Capacity Using XGBoost Algorithm: Modeling and Performance Evaluation
Maaz Amjad, Irshad Ahmad, Mahmood Ahmad, et al.
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 2126-2126
Open Access | Times Cited: 131

Showing 1-25 of 131 citing articles:

A Review of Modern Machine Learning Techniques in the Prediction of Remaining Useful Life of Lithium-Ion Batteries
Prabhakar Sharma, Bhaskor Jyoti Bora
Batteries (2022) Vol. 9, Iss. 1, pp. 13-13
Open Access | Times Cited: 68
Estimating compressive strength of concrete containing rice husk ash using interpretable machine learning-based models
Mana Alyami, Roz‐Ud‐Din Nassar, Majid Khan, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e02901-e02901
Open Access | Times Cited: 35
Ensemble Extreme Gradient Boosting based models to predict the bearing capacity of micropile group
Mahzad Esmaeili‐Falak, Reza Sarkhani Benemaran
Applied Ocean Research (2024) Vol. 151, pp. 104149-104149
Closed Access | Times Cited: 26
Boosting-based ensemble machine learning models for predicting unconfined compressive strength of geopolymer stabilized clayey soil
Gamil M. S. Abdullah, Mahmood Ahmad, Muhammad Babur, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 16
XGBoost-Based Analysis of the Relationship Between Urban 2-D/3-D Morphology and Seasonal Gradient Land Surface Temperature
Xinyue Ma, Jun Yang, Rui Zhang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 4109-4124
Open Access | Times Cited: 14
Artificial intelligence-based estimation of ultra-high-strength concrete's flexural property
Qichen Wang, Abasal Hussain, Muhammad Usman Farooqi, et al.
Case Studies in Construction Materials (2022) Vol. 17, pp. e01243-e01243
Open Access | Times Cited: 52
Use of Artificial Intelligence for Predicting Parameters of Sustainable Concrete and Raw Ingredient Effects and Interactions
Muhammad Nasir Amin, Waqas Ahmad, Kaffayatullah Khan, et al.
Materials (2022) Vol. 15, Iss. 15, pp. 5207-5207
Open Access | Times Cited: 37
Sonication impact on thermal conductivity of f-MWCNT nanofluids using XGBoost and Gaussian process regression
Zafar Said, Prabhakar Sharma, Bhaskor Jyoti Bora, et al.
Journal of the Taiwan Institute of Chemical Engineers (2023) Vol. 145, pp. 104818-104818
Closed Access | Times Cited: 37
Prediction of ultimate bearing capacity of shallow foundations on cohesionless soil using hybrid LSTM and RVM approaches: An extended investigation of multicollinearity
Jitendra Khatti, Kamaldeep Singh Grover, Hyeong-Joo Kim, et al.
Computers and Geotechnics (2023) Vol. 165, pp. 105912-105912
Closed Access | Times Cited: 37
Experimental investigation and AI prediction modelling of ceramic waste powder concrete – An approach towards sustainable construction
Jianyu Yang, Pengxiao Jiang, Roz‐Ud‐Din Nassar, et al.
Journal of Materials Research and Technology (2023) Vol. 23, pp. 3676-3696
Open Access | Times Cited: 27
Machine Learning Approach for Diabetes Detection Using Fine-Tuned XGBoost Algorithm
Aga Maulana, Farassa Rani Faisal, Teuku Rizky Noviandy, et al.
Infolitika Journal of Data Science (2023) Vol. 1, Iss. 1, pp. 1-7
Open Access | Times Cited: 27
Soft computing for determining base resistance of super-long piles in soft soil: A coupled SPBO-XGBoost approach
Tan Nguyen, Duy-Khuong Ly, Quoc Thien Huynh, et al.
Computers and Geotechnics (2023) Vol. 162, pp. 105707-105707
Closed Access | Times Cited: 25
State-of-the-art XGBoost, RF and DNN based soft-computing models for PGPN piles
Manish Kumar, Pijush Samui, Divesh Ranjan Kumar, et al.
Geomechanics and Geoengineering (2024) Vol. 19, Iss. 6, pp. 975-990
Closed Access | Times Cited: 12
Application of machine learning boosting and bagging methods to predict compressive and flexural strength of marble cement mortar
Zhiqiang Chen
Materials Today Communications (2024) Vol. 39, pp. 108600-108600
Closed Access | Times Cited: 9
Thermal energy investigation of magneto-hydrodynamic nano-material liquid flow over a stretching sheet: comparison of single and composite particles
Mubashar Arshad, Azad Hussain, Ali Hassan, et al.
Alexandria Engineering Journal (2022) Vol. 61, Iss. 12, pp. 10453-10462
Closed Access | Times Cited: 32
Compressive Strength Estimation of Steel-Fiber-Reinforced Concrete and Raw Material Interactions Using Advanced Algorithms
Kaffayatullah Khan, Waqas Ahmad, Muhammad Nasir Amin, et al.
Polymers (2022) Vol. 14, Iss. 15, pp. 3065-3065
Open Access | Times Cited: 31
Ensemble Machine Learning Approach for Quantitative Structure Activity Relationship Based Drug Discovery: A Review
Teuku Rizky Noviandy, Aga Maulana, Ghazi Mauer Idroes, et al.
Infolitika Journal of Data Science (2023) Vol. 1, Iss. 1, pp. 32-41
Open Access | Times Cited: 20
Sustainable strategy of eggshell waste usage in cementitious composites: An integral testing and computational study for compressive behavior in aggressive environment
Nanlan Wang, Zhengjun Xia, Muhammad Nasir Amin, et al.
Construction and Building Materials (2023) Vol. 386, pp. 131536-131536
Closed Access | Times Cited: 18
Machine Learning Models for Ecofriendly Optimum Design of Reinforced Concrete Columns
Yaren Aydın, Gebrai̇l Bekdaş, Si̇nan Meli̇h Ni̇gdeli̇, et al.
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4117-4117
Open Access | Times Cited: 15
Bridging Gaps towards the 2030 Agenda: A Data-Driven Comparative Analysis of Government and Public Engagement in China towards Achieving Sustainable Development Goals
Hongpeng Fu, Lingbo Fu, Lóránt Dénes Dávid, et al.
Land (2024) Vol. 13, Iss. 6, pp. 818-818
Open Access | Times Cited: 6
Temperature prediction of high-temperature and high-enthalpy plasma generators based on machine learning
Yanan Xie, Qihao Jiang, Yiyang Gao, et al.
Physics of Plasmas (2025) Vol. 32, Iss. 1
Open Access
Hybridization of Stochastic Hydrological Models and Machine Learning Methods for Improving Rainfall-Runoff Modelling
Sianou Ezéckiel Houénafa, Olatunji Johnson, Erick Kiplangat Ronoh, et al.
Results in Engineering (2025), pp. 104079-104079
Open Access
Analysis of heat transfer of second-grade hybrid nanofluid and optimization using response surface methodology for thermal enhancement
Sk Enamul, Surender Ontela
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
A Multi-stage Machine Learning Model to Design a Sustainable-Resilient-Digitalized Pharmaceutical Supply Chain
Mostafa Jafarian, Iraj Mahdavi, Ali Tajdin, et al.
Socio-Economic Planning Sciences (2025), pp. 102165-102165
Closed Access
Rapid Evaluation Method to Vertical Bearing Capacity of Pile Group Foundation Based on Machine Learning
Yanmei Cao, Jing Ni, Jianguo Chen, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1214-1214
Open Access
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