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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:

A Comparative Analysis of Machine Learning Models in Prediction of Mortar Compressive Strength
R. Gayathri, Shola Usharani, Lenka Čepová, et al.
Processes (2022) Vol. 10, Iss. 7, pp. 1387-1387
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Assessment of mechanical properties with machine learning modeling and durability, and microstructural characteristics of a biochar-cement mortar composite
Md. Habibur Rahman Sobuz, M.H. Khan, Md. Kawsarul Islam Kabbo, et al.
Construction and Building Materials (2023) Vol. 411, pp. 134281-134281
Closed Access | Times Cited: 55
Evaluation of machine learning algorithms for groundwater quality modeling
Soheil Sahour, Matin Khanbeyki, Vahid Gholami, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 16, pp. 46004-46021
Open Access | Times Cited: 27
Influence of Optimal Hyperparameters on the Performance of Machine Learning Algorithms for Predicting Heart Disease
Ghulab Nabi Ahamad, Shafiullah, Hira Fatima, et al.
Processes (2023) Vol. 11, Iss. 3, pp. 734-734
Open Access | Times Cited: 25
Interpretable Machine Learning Framework to Predict the Glass Transition Temperature of Polymers
Md. Jamal Uddin, Jitang Fan
Polymers (2024) Vol. 16, Iss. 8, pp. 1049-1049
Open Access | Times Cited: 14
Enhancing Feature Selection Through Metaheuristic Hybrid Cuckoo Search and Harris Hawks Optimization for Cancer Classification
Abrar Yaqoob, Navneet Kumar Verma, Rabia Musheer Aziz, et al.
(2024), pp. 95-134
Closed Access | Times Cited: 13
Machine learning metamodels for thermo-mechanical analysis of friction stir welding
Dinesh V. Burande, Kanak Kalita, Rohit Gupta, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024)
Closed Access | Times Cited: 13
Assessment of short and long-term pozzolanic activity of natural pozzolans using machine learning approaches
Jitendra Khatti, Berivan Yılmazer Polat
Structures (2024) Vol. 68, pp. 107159-107159
Closed Access | Times Cited: 11
Comparison of boosting and genetic programming techniques for prediction of tensile strain capacity of Engineered Cementitious Composites (ECC)
Waleed Bin Inqiad, Muhammad Faisal Javed, Muhammad Shahid Siddique, et al.
Materials Today Communications (2024) Vol. 39, pp. 109222-109222
Closed Access | Times Cited: 7
Analysis of compressive strength of nanostructure pyrolytic carbon enhanced nanocomposite mortar and forecasting using machine learning models
Karthikeyan Kanagasundaram, S. Elavenil, Kalaiarasi Vembu, et al.
Matéria (Rio de Janeiro) (2025) Vol. 30
Open Access
Enhancing the Performance of Machine Learning and Deep Learning-Based Flood Susceptibility Models by Integrating Grey Wolf Optimizer (GWO) Algorithm
Ali Nouh Mabdeh, R. S. Ajin, Seyed Vahid Razavi-Termeh, et al.
Remote Sensing (2024) Vol. 16, Iss. 14, pp. 2595-2595
Open Access | Times Cited: 4
StackTHP: A stacking ensemble model for accurate prediction of tumor-homing peptides in cancer therapy
Fazla Rabby Raihan, Lway Faisal Abdulrazak, Md. Ashikur Rahman, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109958-109958
Open Access
Data-Driven Exhaust Gas Temperature Baseline Predictions for Aeroengine Based on Machine Learning Algorithms
Zepeng Wang, Yongjun Zhao
Aerospace (2022) Vol. 10, Iss. 1, pp. 17-17
Open Access | Times Cited: 17
Comparative analysis of cement grade and cement strength as input features for machine learning-based concrete strength prediction
Jeonghyun Kim, Donwoo Lee, Andrzej Ubysz
Case Studies in Construction Materials (2024) Vol. 21, pp. e03557-e03557
Open Access | Times Cited: 3
Performance Evaluation of Metal–Organic Frameworks in Adsorption Heat Pumps via Multiscale Modeling
Tiangui Liang, Wei Li, Song Li, et al.
ACS Sustainable Chemistry & Engineering (2024) Vol. 12, Iss. 7, pp. 2825-2840
Closed Access | Times Cited: 2
Supervised data-driven approach to predict split tensile and flexural strength of concrete with marble waste powder
Pala Ravikanth, T. Jothi Saravanan, K.I. Syed Ahmed Kabeer
Cleaner Materials (2024) Vol. 11, pp. 100231-100231
Open Access | Times Cited: 2
Evaluating Boosting Algorithms for Academic Performance Prediction in E-Learning Environments
N S Koti Mani Kumar Tirumanadham, S. Thaiyalnayaki, M. S. Sriram
(2024), pp. 1-8
Closed Access | Times Cited: 2
ML-Based Forecasting of Temporal Dynamics in Luminescence Spectra of Ag 2 S Colloidal Quantum Dots
Ivan Malashin, D.S. Daibagya, В С Тынченко, et al.
IEEE Access (2024) Vol. 12, pp. 53320-53334
Open Access | Times Cited: 2
A machine learning based method for parametric environmental impact model for electric vehicles
Luca Manuguerra, Federica Cappelletti, Michele Germani
Journal of Cleaner Production (2024) Vol. 454, pp. 142308-142308
Open Access | Times Cited: 2
Prediction of variables involved in TEG Dehydration using hybrid models based on boosting algorithms
Fangxiu Wang, Jiemei Zhao, Vo Van Hoang
Computers & Chemical Engineering (2024) Vol. 188, pp. 108747-108747
Closed Access | Times Cited: 2
Machine-learning networks to predict the ultimate axial load and displacement capacity of 3D printed concrete walls with different section geometries
İffet Gamze Mütevelli Özkan, Alper Aldemir
Structures (2024) Vol. 66, pp. 106879-106879
Closed Access | Times Cited: 2
A robust approach for bond strength prediction of mortar using machine learning with SHAP interpretability
Kai Wu, Sihao Zhou, Qiang Li, et al.
Materials Today Communications (2024), pp. 110667-110667
Closed Access | Times Cited: 2
Determinants of carbon emissions in Africa: new evidence based on machine learning algorithms
Edwin Twum Ayimadu, Yaolin Liu, Isaac Osei Asante, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 2
Estimating the initial fracture energy of concrete using various machine learning techniques
Ibrahim Albaijan, Arsalan Mahmoodzadeh, Adil Hussein Mohammed, et al.
Engineering Fracture Mechanics (2023) Vol. 295, pp. 109776-109776
Closed Access | Times Cited: 4
Analysis of Non-Conforming Production in an Engineering Company

Tehnicki vjesnik - Technical Gazette (2024) Vol. 31, Iss. 1
Open Access | Times Cited: 1
Building a ML-based QSAR model for predicting the bioactivity of therapeutically active drug class with imidazole scaffold
Komal Singh, Irina Ghosh, Venkatesan Jayaprakash, et al.
European Journal of Medicinal Chemistry Reports (2024) Vol. 11, pp. 100148-100148
Open Access | Times Cited: 1
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