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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:

Comprehensive review on machine learning methodologies for modeling dye removal processes in wastewater
Suraj Kumar Bhagat, Karl Ezra Pilario, Olusola Emmanuel Babalola, et al.
Journal of Cleaner Production (2022) Vol. 385, pp. 135522-135522
Closed Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions
Tao Hai, Sani I. Abba, Ahmed M. Al‐Areeq, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107559-107559
Closed Access | Times Cited: 52
A Review on Applications of Artificial Intelligence in Wastewater Treatment
Yì Wáng, Yuhan Cheng, He Liu, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13557-13557
Open Access | Times Cited: 47
Nanocomposite ceramic membranes as novel tools for remediation of textile dye waste water – A review of current applications, machine learning based modeling and future perspectives
Joynab Mohammed Solaiman, Natarajan Rajamohan, Mohammad Yusuf, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 2, pp. 112353-112353
Closed Access | Times Cited: 15
Photocatalytic degradation of drugs and dyes using a maching learning approach
Ganesan Anandhi, M. Iyapparaja
RSC Advances (2024) Vol. 14, Iss. 13, pp. 9003-9019
Open Access | Times Cited: 13
A response surface methodology approach for the removal of methylene blue dye from wastewater using sustainable and cost-effective adsorbent
Kehinde Shola Obayomi, Sie Yon Lau, Michael K. Danquah, et al.
Process Safety and Environmental Protection (2024) Vol. 184, pp. 129-150
Open Access | Times Cited: 12
Decolourization of bromocresol green dye solution by acid functionalized rice husk: Artificial intelligence modeling, GA optimization, and adsorption studies
Chijioke Elijah Onu, Benjamin Nnamdi Ekwueme, Paschal Enyinnaya Ohale, et al.
Journal of Hazardous Materials Advances (2022) Vol. 9, pp. 100224-100224
Open Access | Times Cited: 36
Adsorption of Cr(VI) ions onto fluorine-free niobium carbide (MXene) and machine learning prediction with high precision
Rehan Ishtiaq, Nallain Zahra, Sara Iftikhar, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 2, pp. 112238-112238
Closed Access | Times Cited: 11
Computational AI to predict and optimize the relationship between dye removal efficiency and Gibbs free energy in the adsorption process utilizing TiO2/chitosan-polyacrylamide composite
Seyed Peiman Ghorbanzade Zaferani, Mahmoud Kiannejad Amiri, Ali Akbar Amooey
International Journal of Biological Macromolecules (2024) Vol. 264, pp. 130738-130738
Closed Access | Times Cited: 10
The utility of bioremediation approach over physicochemical methods to detoxify dyes discharges from textile effluents: A comprehensive review study
Hafsa Hena Sornaly, Sabbir Ahmed, Kanis Fatema Titin, et al.
Sustainable Chemistry and Pharmacy (2024) Vol. 39, pp. 101538-101538
Closed Access | Times Cited: 8
Monitoring the Industrial waste polluted stream - Integrated analytics and machine learning for water quality index assessment
Ujala Ejaz, Shujaul Mulk Khan, Sadia Jehangir, et al.
Journal of Cleaner Production (2024) Vol. 450, pp. 141877-141877
Closed Access | Times Cited: 7
Molecular simulation-based insights into dye pollutant adsorption: A perspective review
Iman Salahshoori, Qilin Wang, Marcos A.L. Nobre, et al.
Advances in Colloid and Interface Science (2024) Vol. 333, pp. 103281-103281
Open Access | Times Cited: 7
Biogenic synthesis of Fe-doped Al2O3 nanoparticles using Eichhornia crassipes for the remediation of toxicant malachite green dye: Kinetic and thermodynamic studies
Anita Thakur, Harpreet Kaur, Hakim Aguedal, et al.
Inorganic Chemistry Communications (2024) Vol. 163, pp. 112340-112340
Closed Access | Times Cited: 6
Capparis spinosa L waste activated carbon as an efficient adsorbent for crystal violet toxic dye removal: Modeling, optimization by experimental design, and ecological analysis
Mohammed Benjellοun, Youssef Miyah, Salma Ssouni, et al.
Chinese Journal of Chemical Engineering (2024) Vol. 71, pp. 283-302
Closed Access | Times Cited: 6
Use, Potential, Needs, and Limits of AI in Wastewater Treatment Applications
Andrea G. Capodaglio, Arianna Callegari
Water (2025) Vol. 17, Iss. 2, pp. 170-170
Open Access
Investigation of comparative machine learning models in effluent dephenolization process onto H3PO4-anchored corn cob.
Chijioke Elijah Onu, Joseph Tagbo Nwabanne, Ositadimma Chamberline Iheanocho, et al.
Results in Surfaces and Interfaces (2025), pp. 100420-100420
Open Access
Synergistic Potential of Microbial Communities and Artificial Intelligence in Strengthening Sustainable Wastewater Treatment Solutions
Anshika Gupta, Akriti Verma, Kalpana Katiyar
Environmental science and engineering (2025), pp. 225-249
Closed Access
Artificial intelligence interventions in 2D MXenes-based photocatalytic applications
Durga Madhab Mahapatra, Ashish Kumar, Rajesh Kumar, et al.
Coordination Chemistry Reviews (2025) Vol. 529, pp. 216460-216460
Closed Access
Bioremediation of Reactive Blue 19 dye by laccase-producing Serratia marcescens AY4 strain
Ghulam Mustafa, Ammara Younas, Muhammad Tariq Zahid, et al.
Journal of environmental chemical engineering (2025), pp. 115605-115605
Closed Access
Fundamental and mechanisms of adsorption processes for dye removal
Dina A. Yaseen
Elsevier eBooks (2025), pp. 23-45
Closed Access
Advanced machine learning models for robust prediction of water quality index and classification
Abdessamad Elmotawakkil, Nourddine Enneya, Suraj Kumar Bhagat, et al.
Journal of Hydroinformatics (2025)
Open Access
A crossbred mesoporous composite of Ni0.15-doped Zn0.85S @ alginate-derived graphitic carbon beads for methylene blue removal: DFT and machine learning investigations
Mahmoud Thabet, Eman M. Abd El-Monaem, Mohamed A. Abdel‐Lateef, et al.
Inorganic Chemistry Communications (2025), pp. 114043-114043
Closed Access
Selective adsorption of organic dyes from aqueous environment using fermented maize extract-enhanced graphene oxide-durian shell derived activated carbon composite
Kehinde Shola Obayomi, Sie Yon Lau, Michael K. Danquah, et al.
Chemosphere (2023) Vol. 339, pp. 139742-139742
Closed Access | Times Cited: 18
Ensemble hybrid machine learning to simulate dye/divalent salt fractionation using a loose nanofiltration membrane
Nadeem Baig, Sani I. Abba, Jamilu Usman, et al.
Environmental Science Advances (2023) Vol. 2, Iss. 10, pp. 1446-1459
Open Access | Times Cited: 15
Remarkable High Adsorption of Methylene Blue Dye from Aqueous Solutions Using Facilely Synthesized MgFe2O4 Nanoparticles
Asma S. Al‐Wasidi, Faisal K. Algethami, Fawaz A. Saad, et al.
Journal of Inorganic and Organometallic Polymers and Materials (2023) Vol. 33, Iss. 7, pp. 2035-2045
Closed Access | Times Cited: 14
Machine learning screening tools for the prediction of extraction yields of pharmaceutical compounds from wastewaters
Ana Casas, Diego Rodríguez-Llorente, Guillermo Rodríguez-Llorente, et al.
Journal of Water Process Engineering (2024) Vol. 62, pp. 105379-105379
Open Access | Times Cited: 5
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