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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:

Gradient Boosting Hybridized with Exponential Natural Evolution Strategies for Estimating the Strength of Geopolymer Self-Compacting Concrete
Samuel Alves Basilio, Leonardo Goliatt
Knowledge-Based Engineering and Sciences (2022) Vol. 3, Iss. 1, pp. 1-16
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Metaheuristic optimization of machine learning models for strength prediction of high-performance self-compacting alkali-activated slag concrete
Suraj Kumar Parhi, Soumyaranjan Panda, Saswat Dwibedy, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 3, pp. 2901-2928
Closed Access | Times Cited: 16
Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer
Masoud Karbasi, Mehdi Jamei, Mumtaz Ali, et al.
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 107121-107121
Closed Access | Times Cited: 62
Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach
Mehdi Jamei, Mumtaz Ali, Masoud Karbasi, et al.
Applied Energy (2022) Vol. 326, pp. 119925-119925
Closed Access | Times Cited: 50
Development of integrative data intelligence models for thermo-economic performances prediction of hybrid organic rankine plants
Tao Hai, Omer A. Alawi, Haslinda Mohamed Kamar, et al.
Energy (2024) Vol. 292, pp. 130503-130503
Closed Access | Times Cited: 9
Coupled extreme gradient boosting algorithm with artificial intelligence models for predicting compressive strength of fiber reinforced polymer- confined concrete
Tao Hai, Zainab Hasan Ali, Faisal M. Mukhtar, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108674-108674
Closed Access | Times Cited: 8
Implication of novel hybrid machine learning model for flood subsidence susceptibility mapping: A representative case study in Saudi Arabia
Ahmed M. Al‐Areeq, Radhwan A. A. Saleh, Mustafa Ghaleb, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130692-130692
Closed Access | Times Cited: 7
Development of wavelet-based Kalman Online Sequential Extreme Learning Machine optimized with Boruta-Random Forest for drought index forecasting
Mehdi Jamei, Iman Ahmadianfar, Masoud Karbasi, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105545-105545
Closed Access | Times Cited: 33
Air quality monitoring based on chemical and meteorological drivers: Application of a novel data filtering-based hybridized deep learning model
Mehdi Jamei, Mumtaz Ali, Anurag Malik, et al.
Journal of Cleaner Production (2022) Vol. 374, pp. 134011-134011
Closed Access | Times Cited: 30
A Comparison of Machine Learning Models for Predicting Rainfall in Urban Metropolitan Cities
Vijendra Kumar, Naresh Kedam, Kul Vaibhav Sharma, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13724-13724
Open Access | Times Cited: 21
Machine learning models development for shear strength prediction of reinforced concrete beam: a comparative study
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 18
Daily scale streamflow forecasting in multiple stream orders of Cauvery River, India: Application of advanced ensemble and deep learning models
Sujay Raghavendra Naganna, Sreedhara B. Marulasiddappa, Muttana S. Balreddy, et al.
Journal of Hydrology (2023) Vol. 626, pp. 130320-130320
Closed Access | Times Cited: 17
Performance of evolutionary optimized machine learning for modeling total organic carbon in core samples of shale gas fields
Leonardo Goliatt, Camila Martins Saporetti, L. C. Oliveira, et al.
Petroleum (2023) Vol. 10, Iss. 1, pp. 150-164
Open Access | Times Cited: 16
Optimizing machine learning techniques and SHapley Additive exPlanations (SHAP) analysis for the compressive property of self-compacting concrete
Zhiyuan Wang, Huihui Liu, Muhammad Nasir Amin, et al.
Materials Today Communications (2024) Vol. 39, pp. 108804-108804
Closed Access | Times Cited: 5
A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm
Mehdi Jamei, Masoud Karbasi, Mumtaz Ali, et al.
Expert Systems with Applications (2023) Vol. 222, pp. 119811-119811
Closed Access | Times Cited: 14
Daily Scale River Flow Forecasting Using Hybrid Gradient Boosting Model with Genetic Algorithm Optimization
Hüseyin Çağan Kılınç, Iman Ahmadianfar, Vahdettin Demir, et al.
Water Resources Management (2023) Vol. 37, Iss. 9, pp. 3699-3714
Open Access | Times Cited: 14
Development of hybrid computational data-intelligence model for flowing bottom-hole pressure of oil wells: New strategy for oil reservoir management and monitoring
Leonardo Goliatt, Reem Sabah Mohammad, Sani I. Abba, et al.
Fuel (2023) Vol. 350, pp. 128623-128623
Closed Access | Times Cited: 14
Improving multi-month hydrological drought forecasting in a tropical region using hybridized extreme learning machine model with Beluga Whale Optimization algorithm
Mohammed Majeed Hameed, Siti Fatin Mohd Razali, Wan Hanna Melini Wan Mohtar, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 12, pp. 4963-4989
Closed Access | Times Cited: 13
Drinking Water Resources Suitability Assessment Based on Pollution Index of Groundwater Using Improved Explainable Artificial Intelligence
Sani I. Abba, Mohamed A. Yassin, Auwalu Saleh Mubarak, et al.
Sustainability (2023) Vol. 15, Iss. 21, pp. 15655-15655
Open Access | Times Cited: 12
Enhancing daily reference evapotranspiration (ETref) prediction across diverse climatic zones: A pattern mining approach with DIRECTORS model
Maryam Amiri, Saeed Sharafi, Mehdi Mohammadi Ghaleni
Journal of Hydrology (2025), pp. 133045-133045
Closed Access
Approaches for the short-term prediction of natural daily streamflows using hybrid machine learning enhanced with grey wolf optimization
Alfeu D. Martinho, Camila Martins Saporetti, Leonardo Goliatt
Hydrological Sciences Journal (2022) Vol. 68, Iss. 1, pp. 16-33
Closed Access | Times Cited: 19
Developing an Integrative Data Intelligence Model for Construction Cost Estimation
Zainab Hasan Ali, Abbas M. Burhan, Murizah Kassim, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 17
Revealing accuracy in climate dynamics: enhancing evapotranspiration estimation using advanced quantile regression and machine learning models
Saeed Sharafi, Mehdi Mohammadi Ghaleni
Applied Water Science (2024) Vol. 14, Iss. 7
Open Access | Times Cited: 3
Cyanobacteria blue-green algae prediction enhancement using hybrid machine learning–based gamma test variable selection and empirical wavelet transform
Salim Heddam, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Mayadah W. Falah, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 51, pp. 77157-77187
Closed Access | Times Cited: 14
An approach for total organic carbon prediction using convolutional neural networks optimized by differential evolution
Rodrigo Oliveira Silva, Camila Martins Saporetti, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 28, pp. 20803-20817
Closed Access | Times Cited: 7
Predicting the Residual Compressive Strength of Concrete Exposed to Elevated Temperatures Using Interpretable Machine Learning
Muhammad Noman, Afaq Khattak, Zeshan Alam, et al.
Practice Periodical on Structural Design and Construction (2024) Vol. 29, Iss. 4
Closed Access | Times Cited: 2
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