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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:

Implementation of AdaBoost and genetic algorithm machine learning models in prediction of adsorption capacity of nanocomposite materials
Weidong LI, Mustafa K. Suhayb, Lakshmi Thangavelu, et al.
Journal of Molecular Liquids (2022) Vol. 350, pp. 118527-118527
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Innovative Adsorbents for Pollutant Removal: Exploring the Latest Research and Applications
Muhammad Saeed Akhtar, Sajid Ali, Wajid Zaman
Molecules (2024) Vol. 29, Iss. 18, pp. 4317-4317
Open Access | Times Cited: 18
Cefixime removal via WO3/Co-ZIF nanocomposite using machine learning methods
Amir Sheikhmohammadi, Hassan Alamgholiloo, Mohammad Golaki, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Optimization and prediction of dye adsorption utilising cross-linked chitosan-activated charcoal: Response Surface Methodology and machine learning
Arun Kumar Shukla, Javed Alam, Santanu Mallik, et al.
Journal of Molecular Liquids (2024) Vol. 411, pp. 125745-125745
Closed Access | Times Cited: 8
Adsorption of antibiotics from aqueous media using nanocomposites: Insight into the current status and future perspectives
Christopher Chiedozie, Matthew N. Abonyi, Paschal Enyinnaya Ohale, et al.
Chemical Engineering Journal (2024) Vol. 497, pp. 154767-154767
Closed Access | Times Cited: 8
Machine Learning-Driven Multidomain Nanomaterial Design: From Bibliometric Analysis to Applications
Hong Wang, Hengyu Cao, Liang Yang
ACS Applied Nano Materials (2024)
Closed Access | Times Cited: 8
A systematic and critical review on development of machine learning based-ensemble models for prediction of adsorption process efficiency
Elahe Abbasi, Mohammad Reza Alavi Moghaddam, Elaheh Kowsari
Journal of Cleaner Production (2022) Vol. 379, pp. 134588-134588
Closed Access | Times Cited: 31
Application of neural network in metal adsorption using biomaterials (BMs): a review
Amrita Nighojkar, Karl Zimmermann, Mohamed Ateia, et al.
Environmental Science Advances (2022) Vol. 2, Iss. 1, pp. 11-38
Open Access | Times Cited: 27
ARIMA-AdaBoost hybrid approach for product quality prediction in advanced transformer manufacturing
Chun-Hua Chien, Amy J.C. Trappey, Chien-Chih Wang
Advanced Engineering Informatics (2023) Vol. 57, pp. 102055-102055
Closed Access | Times Cited: 18
Synthesis of Copper-Impregnated MCM-41 from Synthetic and Rice Husk-Derived Silica for Efficient Adsorption of Levofloxacin: A Machine Learning Approach
Gayatri Rajput, Vijayalakshmi Gosu, Verraboina Subbaramaiah
Journal of environmental chemical engineering (2025), pp. 115634-115634
Closed Access
Stacking Ensemble Algorithm to Predict Re-keying in Group Key Management
Prity Kumari, Karam Ratan Singh, Ranjan Kumar
Arabian Journal for Science and Engineering (2025)
Closed Access
On the Accurate Construction of Machine Learning Models to Predict Speed of sound in liquid siloxane
C. Hu, Nawfal Yousif Jamil, Tapankumar Trivedi, et al.
Journal of the Indian Chemical Society (2025), pp. 101665-101665
Closed Access
Machine learning-assisted design of refractory high-entropy alloys with targeted yield strength and fracture strain
Jianye He, Zezhou Li, Jingchen Lin, et al.
Materials & Design (2024), pp. 113326-113326
Open Access | Times Cited: 4
A Robust Adaptive Hierarchical Learning Crow Search Algorithm for Feature Selection
Yilin Chen, Zhi Ye, Bo Gao, et al.
Electronics (2023) Vol. 12, Iss. 14, pp. 3123-3123
Open Access | Times Cited: 11
Predicting Stress–Strain Characteristics of Hot Deformed Cu-Zr Metallic Glass Alloy Composite Nanowires Using Supervised Machine Learning Algorithms
Ganesh Katakareddi, Md. Shafdar Ali, Kerfegarshahvir Jungalwala, et al.
Journal of Materials Engineering and Performance (2024)
Closed Access | Times Cited: 3
Future of Water/Wastewater Treatment and Management by Industry 4.0 Integrated Nanocomposite Manufacturing
Jean Yves Uwamungu, Pawan Kumar, Ahmed Alkhayyat, et al.
Journal of Nanomaterials (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 16
Research on Coal Gangue Recognition Based on Multi-source Time–Frequency Domain Feature Fusion
Yao Zhang, Yang Yang, Qingliang Zeng
ACS Omega (2023) Vol. 8, Iss. 28, pp. 25221-25235
Open Access | Times Cited: 5
Development of various machine learning and deep learning models to predict glycerol biorefining processes
Qinyang Li, Minghai Li, Mohammad Reza Safaei
International Journal of Hydrogen Energy (2023) Vol. 52, pp. 669-685
Closed Access | Times Cited: 5
Separation of sulfur compounds from petroleum using hydrodesulfurization method to reduce SO2 emission: Process optimization and validation
Xiang Li, Yao‐Yu Wang, Derang Fan, et al.
Case Studies in Thermal Engineering (2023) Vol. 49, pp. 103384-103384
Open Access | Times Cited: 5
Synthesis of a Novel Hydrogel for Adsorptive Removal of Crystal Violet and Naproxen Pollutants from Wastewater
Ali Reza Akbarzadeh, Sina Parvaz, Mir Saeed Esmaeili, et al.
ChemistrySelect (2024) Vol. 9, Iss. 1
Closed Access | Times Cited: 1
Equivalent Morphology Concept in Composite Materials Using Machine Learning and Genetic Algorithm Coupling
Hamdi Béji, Tanguy Messager, Toufik Kanit
Journal of Composites Science (2024) Vol. 8, Iss. 8, pp. 297-297
Open Access | Times Cited: 1
Assessing decision-based machine learning algorithms for predicting adsorption efficiency: a detailed study of Mn Fe LDH functionalized La(OH)₃@AC chitosan beads
Hala M. Elshishini, Gehan M. El‐Subruiti, Zekry F. Ghatass, et al.
Journal of Water Process Engineering (2024) Vol. 69, pp. 106678-106678
Closed Access | Times Cited: 1
Comparative evaluation of data mining methods in predicting the water vapor permeability of cement-based materials
Xianqi Huang, Ruijin Ma, Hanyu Yang, et al.
Building Simulation (2023) Vol. 16, Iss. 6, pp. 853-867
Closed Access | Times Cited: 4
Detection of Soluble Solids Content (SSC) in Pears Using Near-Infrared Spectroscopy Combined with LASSO–GWF–PLS Model
Baishao Zhan, Peng Li, Ming Li, et al.
Agriculture (2023) Vol. 13, Iss. 8, pp. 1491-1491
Open Access | Times Cited: 4
Heuristic computing with active set method for the nonlinear Rabinovich–Fabrikant model
Zulqurnain Sabir, Dumitru Băleanu, Sharifah E. Alhazmi, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e22030-e22030
Open Access | Times Cited: 3
The Construction of English Translation Teaching System in Colleges and Universities Based on Cluster Search Algorithm
Zhu Jian-xiang
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access
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