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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:

Machine learning approaches to predict adsorption capacity of Azolla pinnata in the removal of methylene blue
Muhammad Raziq Rahimi Kooh, Roshan Thotagamuge, Yuan‐Fong Chou Chau, et al.
Journal of the Taiwan Institute of Chemical Engineers (2021) Vol. 132, pp. 104134-104134
Closed Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Machine-learning-based prediction and optimization of emerging contaminants' adsorption capacity on biochar materials
Zeeshan Haider Jaffari, Heewon Jeong, Jaegwan Shin, et al.
Chemical Engineering Journal (2023) Vol. 466, pp. 143073-143073
Closed Access | Times Cited: 86
Aqueous Pb(II) Removal Using ZIF-60: Adsorption Studies, Response Surface Methodology and Machine Learning Predictions
Usman M. Ismail, Sagheer A. Onaizi, Muhammad S. Vohra
Nanomaterials (2023) Vol. 13, Iss. 8, pp. 1402-1402
Open Access | Times Cited: 39
A novel model for water quality prediction caused by non-point sources pollution based on deep learning and feature extraction methods
Hang Wan, Rui Xu, Meng Zhang, et al.
Journal of Hydrology (2022) Vol. 612, pp. 128081-128081
Closed Access | Times Cited: 62
The Use of Gigantochloa Bamboo-Derived Biochar for the Removal of Methylene Blue from Aqueous Solution
Nabilah Suhaimi, Muhammad Raziq Rahimi Kooh, Chee Ming Lim, et al.
Adsorption Science & Technology (2022) Vol. 2022
Open Access | Times Cited: 57
Modeling, optimization and understanding of adsorption process for pollutant removal via machine learning: Recent progress and future perspectives
Wentao Zhang, Wenguang Huang, Jie Tan, et al.
Chemosphere (2022) Vol. 311, pp. 137044-137044
Open Access | Times Cited: 51
Low-Cost Adsorbents for the Removal of Phenol/Phenolics, Pesticides, and Dyes from Wastewater Systems: A Review
Ho Soonmin
Water (2022) Vol. 14, Iss. 20, pp. 3203-3203
Open Access | Times Cited: 49
Prediction of uranium adsorption capacity on biochar by machine learning methods
Tianxing Da, Hui-Kang Ren, Wen-ke He, et al.
Journal of environmental chemical engineering (2022) Vol. 10, Iss. 5, pp. 108449-108449
Closed Access | Times Cited: 47
Biosorption of zinc (II) from synthetic wastewater by using Inula Viscosa leaves as a low-cost biosorbent: Experimental and molecular modeling studies
Karima Rouibah, Hana Ferkous, Amel Delimi, et al.
Journal of Environmental Management (2022) Vol. 326, pp. 116742-116742
Closed Access | Times Cited: 41
Efficient Removal of Methyl Red Dye by Using Bark of Hopbush
Salma Gul, Mansha Kanwal, Raina Aman Qazi, et al.
Water (2022) Vol. 14, Iss. 18, pp. 2831-2831
Open Access | Times Cited: 35
Quantitatively ion-exchange between Mg(II) and Pb(II)/Cd(II) during the highly efficient adsorption by MgO-loaded lotus stem biochar
Yaru Li, Yanyan Liu, Caiying Liu, et al.
Journal of the Taiwan Institute of Chemical Engineers (2023) Vol. 144, pp. 104736-104736
Closed Access | Times Cited: 28
Emerging pathways to sustainable economic development: An interdisciplinary exploration of resource efficiency, technological innovation, and ecosystem resilience in resource-rich regions
Feipeng Wang, Wing‐Keung Wong, Zheng Wang, et al.
Resources Policy (2023) Vol. 85, pp. 103747-103747
Closed Access | Times Cited: 28
High-performance self-compacting concrete with recycled coarse aggregate: Soft-computing analysis of compressive strength
Ahmad Alyaseen, Arunava Poddar, Navsal Kumar, et al.
Journal of Building Engineering (2023) Vol. 77, pp. 107527-107527
Closed Access | Times Cited: 28
Fabrication of titania/calcium alginate nanocomposite matrix for efficient adsorption and photocatalytic degradation of malachite green
Asaad F. Hassan, Gehan A. El-Naggar, Amany G. Braish, et al.
International Journal of Biological Macromolecules (2023) Vol. 249, pp. 126075-126075
Closed Access | Times Cited: 26
Organic pollutants removal by phosphoric acid modified biochar from residue of Inonotus obliquus
Caili Guo, Fangcong Hua, Pei‐Ying Chen, et al.
Journal of environmental chemical engineering (2023) Vol. 11, Iss. 5, pp. 110292-110292
Closed Access | Times Cited: 23
Modeling based on machine learning to investigate flue gas desulfurization performance by calcium silicate absorbent in a sand bed reactor
Kamyar Naderi, Mohammad Yazdi, Hanieh Jafarabadi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Hydrochar from Shorea spp.: a dual-purpose approach for sustainable biofuel and efficient methylene blue adsorbent
Mohamed Elhassan, Muhammad Raziq Rahimi Kooh, Yuan‐Fong Chou Chau, et al.
Biomass Conversion and Biorefinery (2024)
Closed Access | Times Cited: 8
Machine learning-assisted optimization and evaluation of methylene blue adsorption kinetics on citrus aurantifolia leaves: Insights from isotherm and thermodynamic studies
Nimra Saher Zain, M.H.H. Mahmoud, Muhammad Imran Khan, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 164, pp. 105696-105696
Closed Access | Times Cited: 8
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
Module-based machine learning models using sigma profiles of organic linkers to predict gaseous adsorption in metal-organic frameworks
Y. S. Cheng, I-Ting Sung, Chieh‐Ming Hsieh, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 165, pp. 105728-105728
Closed Access | Times Cited: 6
An adaptive mode identification and fault detection scheme for nonlinear multimode process monitoring using improved DPC-KPCA
Dan Ling, Tengfei Jiang, Ying Zheng, et al.
Journal of the Taiwan Institute of Chemical Engineers (2025) Vol. 169, pp. 105915-105915
Closed Access
Phosphoric acid based geopolymer foam-activated carbon composite for methylene blue adsorption: isotherm, kinetics, thermodynamics, and machine learning studies
Muhammad Irfan Khan, Suriati Sufian, Farrukh Hassan, et al.
RSC Advances (2025) Vol. 15, Iss. 3, pp. 1989-2010
Open Access
Machine learning–assisted prediction of engineered carbon systems’ capacity to treat textile dyeing wastewater via adsorption technology
Om Kulkarni, Priya Dongare, Bhavana Shanmughan, et al.
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 2
Closed Access
Exploring the Biosorption of Methylene Blue Dye onto Agricultural Products: A Critical Review
Manish Kumar Sah, Khaled Edbey, Ashraf El‐Hashani, et al.
Separations (2022) Vol. 9, Iss. 9, pp. 256-256
Open Access | Times Cited: 29
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: 29
Computing Models to Predict the Compressive Strength of Engineered Cementitious Composites (ECC) at Various Mix Proportions
Kawan Ghafor, Hemn Unis Ahmed, Rabar H. Faraj, et al.
Sustainability (2022) Vol. 14, Iss. 19, pp. 12876-12876
Open Access | Times Cited: 28
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