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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 uniaxial compressive strength and modulus of elasticity for Travertine samples using an explainable artificial intelligence
Hamid Nasiri, Arman Homafar, Saeed Chehreh Chelgani
Results in Geophysical Sciences (2021) Vol. 8, pp. 100034-100034
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost
Hamid Nasiri, Sharif Hasani
Radiography (2022) Vol. 28, Iss. 3, pp. 732-738
Open Access | Times Cited: 88
A Novel Framework Based on Deep Learning and ANOVA Feature Selection Method for Diagnosis of COVID-19 Cases from Chest X-Ray Images
Hamid Nasiri, Seyed Ali Alavi
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 75
Classification of Breast Tumors Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods
Mohammad Reza Abbasniya, Sayed Ali Sheikholeslamzadeh, Hamid Nasiri, et al.
Computers & Electrical Engineering (2022) Vol. 103, pp. 108382-108382
Closed Access | Times Cited: 72
Predicting uniaxial compressive strength of rocks using ANN models: Incorporating porosity, compressional wave velocity, and schmidt hammer data
Panagiotis G. Asteris, Μαρία Καρόγλου, Athanasia D. Skentou, et al.
Ultrasonics (2024) Vol. 141, pp. 107347-107347
Closed Access | Times Cited: 48
Application of optimization‐based regression analysis for evaluation of frost durability of recycled aggregate concrete
Mahzad Esmaeili‐Falak, Reza Sarkhani Benemaran
Structural Concrete (2024) Vol. 25, Iss. 1, pp. 716-737
Closed Access | Times Cited: 46
A Novel Hybrid Bayesian-Group-Based Machine Learning (HB-GML) Method for Predicting Uniaxial Compressive Strength (UCS) of Rock
Shenghao Piao, Sheng Huang, Yingjie Wei, et al.
Rock Mechanics and Rock Engineering (2025)
Closed Access | Times Cited: 1
Detection of Monkeypox Cases Based on Symptoms Using XGBoost and Shapley Additive Explanations Methods
Alireza Farzipour, Roya Elmi, Hamid Nasiri
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2391-2391
Open Access | Times Cited: 23
Modeling operational cement rotary kiln variables with explainable artificial intelligence methods – a “conscious lab” development
Rasoul Fatahi, Hamid Nasiri, Arman Homafar, et al.
Particulate Science And Technology (2022) Vol. 41, Iss. 5, pp. 715-724
Open Access | Times Cited: 27
Interpretable XGBoost–SHAP machine learning technique to predict the compressive strength of environment-friendly rice husk ash concrete
Md Nasir Uddin, Lingzhi Li, Bo-Yu Deng, et al.
Innovative Infrastructure Solutions (2023) Vol. 8, Iss. 5
Closed Access | Times Cited: 20
Adapted techniques of explainable artificial intelligence for explaining genetic algorithms on the example of job scheduling
Yu-Cheng Wang, Toly Chen
Expert Systems with Applications (2023) Vol. 237, pp. 121369-121369
Closed Access | Times Cited: 19
Bayesian optimization-enhanced ensemble learning for the uniaxial compressive strength prediction of natural rock and its application
Chukwuemeka Daniel, Xin Yin, Xing Huang, et al.
Geohazard Mechanics (2024) Vol. 2, Iss. 3, pp. 197-215
Open Access | Times Cited: 7
CatBoost-SHAP for modeling industrial operational flotation variables – A “conscious lab” approach
Saeed Chehreh Chelgani, Arman Homafar, Hamid Nasiri, et al.
Minerals Engineering (2024) Vol. 213, pp. 108754-108754
Open Access | Times Cited: 5
Explainable AI Techniques for Comprehensive Analysis of the Relationship between Process Parameters and Material Properties in FDM-Based 3D-Printed Biocomposites
Namrata G Kharate, Prashant Anerao, Atul Kulkarni, et al.
Journal of Manufacturing and Materials Processing (2024) Vol. 8, Iss. 4, pp. 171-171
Open Access | Times Cited: 5
Modeling coking coal indexes by SHAP-XGBoost: Explainable artificial intelligence method
Arman Homafar, Hamid Nasiri, Saeed Chehreh Chelgani
Fuel Communications (2022) Vol. 13, pp. 100078-100078
Closed Access | Times Cited: 24
Diagnosis of Parkinson’s disease based on voice signals using SHAP and hard voting ensemble method
Paria Ghaheri, Hamid Nasiri, Ahmadreza Shateri, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 13, pp. 1858-1874
Open Access | Times Cited: 14
Development of an expert system for the classification of myalgic encephalomyelitis/chronic fatigue syndrome
Fatma Hilal Yağın, Ahmadreza Shateri, Hamid Nasiri, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1857-e1857
Open Access | Times Cited: 4
Non-destructive test-based assessment of uniaxial compressive strength and elasticity modulus of intact carbonate rocks using stacking ensemble models
Davood Fereidooni, Zohre Karimi, Fatemeh Ghasemi
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0302944-e0302944
Open Access | Times Cited: 4
Machine learning prediction method for the interface bond strength between fiber reinforced polymer bars and concrete based on multi-feature driven analysis
Tao Huang, Chunfeng Wan, Tingbin Liu, et al.
Materials Today Communications (2024), pp. 110706-110706
Closed Access | Times Cited: 4
Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM
Hamid Nasiri, Ghazal Kheyroddin, Morteza Dorrigiv, et al.
2022 IEEE World AI IoT Congress (AIIoT) (2022), pp. 201-206
Open Access | Times Cited: 19
Machine learning based prediction model for the pile bearing capacity of saline soils in cold regions
Deng You-sheng, Zhang Keqin, Zhongju Feng, et al.
Structures (2023) Vol. 59, pp. 105735-105735
Closed Access | Times Cited: 12
PD-ADSV: An automated diagnosing system using voice signals and hard voting ensemble method for Parkinson’s disease
Paria Ghaheri, Ahmadreza Shateri, Hamid Nasiri
Software Impacts (2023) Vol. 16, pp. 100504-100504
Open Access | Times Cited: 11
Assessment of the Rock Elasticity Modulus Using Four Hybrid RF Models: A Combination of Data-Driven and Soft Techniques
Chuanqi Li, Daniel Dias
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2373-2373
Open Access | Times Cited: 10
Diagnosis of COVID-19 Cases from Chest X-ray Images Using Deep Neural Network and LightGBM
Mobina Ezzoddin, Hamid Nasiri, Morteza Dorrigiv
(2022)
Open Access | Times Cited: 15
Application of a Hybrid Machine Learning Model for the Prediction of Compressive Strength and Elastic Modulus of Rocks
Xiaoliang Jin, Rui Zhao, Yulin Ma
Minerals (2022) Vol. 12, Iss. 12, pp. 1506-1506
Open Access | Times Cited: 14
COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19
Sharif Hasani, Hamid Nasiri
Software Impacts (2021) Vol. 11, pp. 100210-100210
Open Access | Times Cited: 19
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