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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:

Integrative analysis of multi machine learning models for tetracycline photocatalytic degradation with MOFs in wastewater treatment
Iman Salahshoori, Majid Namayandeh Jorabchi, Alireza Baghban, et al.
Chemosphere (2023) Vol. 350, pp. 141010-141010
Closed Access | Times Cited: 23

Showing 23 citing articles:

Combining machine learning and metal–organic frameworks research: Novel modeling, performance prediction, and materials discovery
Chunhua Li, Luqian Bao, Yixin Ji, et al.
Coordination Chemistry Reviews (2024) Vol. 514, pp. 215888-215888
Closed Access | Times Cited: 18
Navigating the molecular landscape of environmental science and heavy metal removal: A simulation-based approach
Iman Salahshoori, Marcos A.L. Nobre, Amirhosein Yazdanbakhsh, et al.
Journal of Molecular Liquids (2024) Vol. 410, pp. 125592-125592
Open Access | Times Cited: 17
Advancements in molecular simulation for understanding pharmaceutical pollutant Adsorption: A State-of-the-Art review
Iman Salahshoori, Shahla Mahdavi, Zahra Moradi, et al.
Journal of Molecular Liquids (2024) Vol. 410, pp. 125513-125513
Open Access | Times Cited: 16
Molecular simulation-based assessing of a novel metal-organic framework modified with alginate and chitosan biopolymers for anionic reactive black 5 and cationic crystal violet pollutants capture
Amir Bateni, Iman Salahshoori, Majid Namayandeh Jorabchi, et al.
Separation and Purification Technology (2025) Vol. 354, pp. 128986-128986
Closed Access | Times Cited: 11
Experimental and AI-driven enhancements in gas-phase photocatalytic CO2 conversion over synthesized highly ordered anodic TiO2 nanotubes
Md. Arif Hossen, Md Munirul Hasan, Yunus Ahmed, et al.
Energy Conversion and Management (2025) Vol. 327, pp. 119544-119544
Closed Access | Times Cited: 2
Tackling antibiotic contaminations in wastewater with novel Modified-MOF nanostructures: A study of molecular simulations and DFT calculations
Iman Salahshoori, Majid Namayandeh Jorabchi, Afsaneh Mazaheri, et al.
Environmental Research (2024) Vol. 252, pp. 118856-118856
Closed Access | Times Cited: 14
Molecular Simulation Studies of Pharmaceutical Pollutant Removal (Rosuvastatin and Simvastatin) Using Novel Modified-MOF Nanostructures (UIO-66, UIO-66/Chitosan, and UIO-66/Oxidized Chitosan)
Iman Salahshoori, Ali Vaziri, Reza Jahanmardi, et al.
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 20, pp. 26685-26712
Closed Access | Times Cited: 14
Sustainable synergistic adsorption of tetracycline in water by biochar and microplastics: Exploration of the mechanism of DFT
Huating Jiang, Hui Hu
Journal of Water Process Engineering (2024) Vol. 66, pp. 105998-105998
Closed Access | Times Cited: 9
Application of machine learning models to improve the prediction of pesticide photodegradation in water by ZnO-based photocatalysts
Amir Dashti, Amir Hossein Navidpour, Farid Amirkhani, et al.
Chemosphere (2024) Vol. 362, pp. 142792-142792
Open Access | Times Cited: 8
A machine learning ensemble approach for predicting solar-sensitive hybrid photocatalysts on hydrogen evolution
Rezan Bakır, Ceren Orak, Aslı Yüksel
Physica Scripta (2024) Vol. 99, Iss. 7, pp. 076015-076015
Closed Access | Times Cited: 4
TiO 2 -mediated visible-driven photocatalytic degradation of phenolic compounds: predictive modeling and optimization via machine learning techniques
‪Marlia M. Hanafiah‬, Rab Nawaz, Aamer Ikram, et al.
Chemical Engineering Communications (2025), pp. 1-20
Closed Access
Microplastic contaminant adsorption by graphene oxide layer
Tony Sumaryada, Fasya Nabilah, Faridah Handayasari, et al.
Journal of Biological Physics (2025) Vol. 51, Iss. 1
Closed Access
Emerging MOF-based antibiotic detection methods in water environments: recent advances, challenges, and prospects
Kexin Zhao, Xiaomei Li, Cuizhu Sun, et al.
Water Cycle (2025)
Open Access
A plasmonic S-scheme Ag/ZrO2/TCN photocatalyst for enhancing interfacial charge transfer: insights to machine learning models and mechanism for photodegradation
Amir Shiekhmohammadi, Hassan Alamgholiloo, Esrafil Asgari, et al.
Colloids and Surfaces A Physicochemical and Engineering Aspects (2025), pp. 136858-136858
Closed Access
Recent advances and applications of stimuli-responsive nanomaterials for water treatment: A comprehensive review
Iman Salahshoori, Amirhosein Yazdanbakhsh, Majid Namayandeh Jorabchi, et al.
Advances in Colloid and Interface Science (2024) Vol. 333, pp. 103304-103304
Open Access | Times Cited: 2
Exploring the Potential of Beta-Cyclodextrin-Based MIL-101(Cr) for Pharmaceutical Removal from Wastewater: A Combined Density Functional Theory and Molecular Simulations Study
Iman Salahshoori, Majid Namayandeh Jorabchi, Seyedeh Masoomeh Sadat Mirnezami, et al.
Environmental Research (2024) Vol. 263, pp. 120189-120189
Closed Access | Times Cited: 2
Machine Learning-Driven Advances in Metal-Organic Framework Nanomaterials for Wastewater Treatment: Developments and Challenges
V. Godvin Sharmila, M. Dinesh Kumar, K. Tamilarasan
Separation and Purification Reviews (2024), pp. 1-21
Closed Access | Times Cited: 2
An in-depth study by machine learning models of the absorbance properties of stable Ta2O5 nanotubes decorated by PbS nanoparticles for photocatalytic applications
Ines Khemissi, Radhouane Laajimi, K. Ben Mabrouk, et al.
Materials Research Bulletin (2024), pp. 113247-113247
Closed Access | Times Cited: 1
Pharmaceutical pollutants in water: Carbon nanotube–photocatalyst composites as a path forward
Karla J. Amaya-Galván, Karina J. Ramírez-Escárcega, Fausto L. Zaruma-Torres, et al.
Journal of environmental chemical engineering (2024) Vol. 13, Iss. 1, pp. 115086-115086
Open Access | Times Cited: 1
Comprehensive overview of machine learning applications in MOFs: from modeling processes to latest applications and design classifications
Yutong Liu, Yawen Dong, Hua Wu
Journal of Materials Chemistry A (2024)
Closed Access | Times Cited: 1
Machine Learning Predictive Model to Estimate the Photo-Degradation Performance of Stannates and Hydroxystannates Photocatalysts on a Variety of Waterborne Contaminants
Anouar SOLTANI, Faiçal Djani, Yassine Abdesselam
(2024)
Closed Access
Machine learning to guide the use of plasma technology for antibiotic degradation
Li Xue, Runyu Jing, Nanya Zhong, et al.
Journal of Hazardous Materials (2024) Vol. 480, pp. 135787-135787
Closed Access
Machine learning predictive model to estimate the photo-degradation performance of stannates and hydroxystannates photocatalysts on a variety of waterborne contaminants
Anouar Soltani, Faiçal Djani, Yassine Abdesselam
Computational and Theoretical Chemistry (2024), pp. 115003-115003
Closed Access
Highly efficient ZIF-based adsorbents for the removal of Congo red dye and atorvastatin pharmaceutical pollutant: A study using molecular simulations and DFT calculations
Majid Namayandeh Jorabchi, Iman Salahshoori, Seyedeh Masoomeh Sadat Mirnezami, et al.
Journal of Water Process Engineering (2024) Vol. 69, pp. 106745-106745
Closed Access
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