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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:

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: 58

Showing 1-25 of 58 citing articles:

Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning
Wentao Zhang, Ronghua Chen, Jie Li, et al.
Biochar (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 49
Insights into the Adsorption Properties of Mixed Matrix Membranes (Pebax 1657-g-Chitosan-PVDF-Bovine Serum Albumin@ZIF-CO3-1) for the Antiviral COVID-19 Treatment Drugs Remdesivir and Nirmatrelvir: An In Silico Study
Iman Salahshoori, Narjes Montazeri, Amirhosein Yazdanbakhsh, et al.
ACS Applied Materials & Interfaces (2023) Vol. 15, Iss. 26, pp. 31185-31205
Closed Access | Times Cited: 33
Yesterday, Today, and Tomorrow. Evolution of a Sleeping Beauty: The Freundlich Isotherm
Jean Debord, Khim Hoong Chu, Michel Harel, et al.
Langmuir (2023) Vol. 39, Iss. 8, pp. 3062-3071
Closed Access | Times Cited: 31
Highly sulfonated hyper-cross-linked polymers as promising adsorbents for efficient and selective removal of ciprofloxacin from water
Joanna Wolska, Marcin Frankowski, Jacek Jenczyk, et al.
Separation and Purification Technology (2024) Vol. 343, pp. 127147-127147
Closed Access | Times Cited: 12
Removal of Ni(II) ions from wastewater by ion exchange resin: Process optimization using response surface methodology and ensemble machine learning techniques
Shahrzad Maleki, Ayoub Karimi-Jashni, Maryam Mousavifard
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 2, pp. 112417-112417
Closed Access | Times Cited: 11
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: 11
Deep learning and big data mining for Metal–Organic frameworks with high performance for simultaneous desulfurization and carbon capture
Kexin Guan, Fangyi Xu, Xiaoshan Huang, et al.
Journal of Colloid and Interface Science (2024) Vol. 662, pp. 941-952
Closed Access | Times Cited: 10
Coupling machine learning and theoretical models to compare key properties of biochar in adsorption kinetics rate and maximum adsorption capacity for emerging contaminants
Bingyou Liu, F. Xi, Huanjing Zhang, et al.
Bioresource Technology (2024) Vol. 402, pp. 130776-130776
Closed Access | Times Cited: 9
Machine learning approaches for monitoring environmental metal pollutants: Recent advances in source apportionment, detection, quantification, and risk assessment.
François Nkinahamira, Anqi Feng, Lijie Zhang, et al.
TrAC Trends in Analytical Chemistry (2024), pp. 117980-117980
Closed Access | Times Cited: 8
Integrating Zeolitic Imidazolate Framework-8 with DES-Treated Loofah Sponge for Enhanced Toluene Adsorption
Zhihong Liu, Wenzhuang Wang, Qinghua Chuai, et al.
Langmuir (2025)
Closed Access | Times Cited: 1
Experimental Study on Cobalt Adsorption by Bone Powder Modified with Poly pyrrole and Polyethylene Glycol
Javad Yarmohammadi Jamaloi, Majid Riahi Samani, Davood Toghraie
Results in Engineering (2025), pp. 104382-104382
Open Access | Times Cited: 1
Removal of Rhodamine B dye by adsorption onto an eco-friendly zeolite and machine learning modeling
Maria Eduarda Pedebos, Daniel Moro Druzian, Leandro Rodrigues Oviedo, et al.
Journal of Photochemistry and Photobiology A Chemistry (2023) Vol. 449, pp. 115404-115404
Closed Access | Times Cited: 20
Rational design and fabricate of protonated crosslinked chitosan adsorbent for boosting the removal of nitrite in water
Wenbin Chen, Y. P. Feng, Xiaoming Wang, et al.
Chemical Engineering Journal (2024) Vol. 484, pp. 149241-149241
Closed Access | Times Cited: 7
Machine learning vs. statistical model for prediction modeling and experimental validation: Application in groundwater permeable reactive barrier width design
Fengshi Guo, Yangmin Ren, Yongyue Zhou, et al.
Journal of Hazardous Materials (2024) Vol. 469, pp. 133825-133825
Closed Access | Times Cited: 6
Computational Chemistry as Applied in Environmental Research: Opportunities and Challenges
Christian Sandoval‐Pauker, Sheng Yin, Alexandria Castillo, et al.
ACS ES&T Engineering (2023) Vol. 4, Iss. 1, pp. 66-95
Closed Access | Times Cited: 16
Sustainable wastewater purification with crab shell-derived biochar: Advanced machine learning modeling & experimental analysis
Amina Bibi, Hammad Khan, Sajjad Hussain, et al.
Bioresource Technology (2023) Vol. 390, pp. 129900-129900
Closed Access | Times Cited: 15
Recyclable Nanomotors for Dynamic Enrichment and Detection of Low‐Concentration Emerging Pollutants
Zhi-Qin Geng, Junyang Li, Tangtang Deng, et al.
Advanced Functional Materials (2024)
Closed Access | Times Cited: 5
Utilizing machine learning to evaluate heavy metal pollution in the world's largest mangrove forest
Ram Proshad, Md. Abdur Rahim, Mahfuzur Rahman, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175746-175746
Closed Access | Times Cited: 5
State of the art in machine learning for the purpose of optimizing and predicting the properties of polymeric nanocomposites
Amrinder Mehta, Hitesh Vasudev, Chander Prakash, et al.
Elsevier eBooks (2025), pp. 549-573
Closed Access
Design, characterization, and evaluation of biochar: recent advances, applications, and future research directions
Abimbola E. Oluwalana, Wisdom A. Munzeiwa, Silas Verkijika, et al.
Elsevier eBooks (2025), pp. 59-73
Closed 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
Application of machine learning for environmentally friendly advancement: exploring biomass-derived materials in wastewater treatment and agricultural sector − a review
Banza Jean Claude, Linda L. Sibali
Journal of Environmental Science and Health Part A (2025), pp. 1-16
Open Access
Enhanced fluoride removal by modified water hyacinth: response surface methodology and machine learning approach
Jagadish H. Patil, Raviraj Kusanur, Poornima G. Hiremath, et al.
Biomass Conversion and Biorefinery (2025)
Closed Access
Predicting Reaction Rate Constant of Organic Compounds with Singlet Oxygen and Revealing Its Contributors Using Machine Learning
Tengyi Zhu, F. Z. Qi, Cuicui Tao, et al.
Industrial & Engineering Chemistry Research (2025)
Closed Access
Performance evaluation and lifespan prediction of PRB for dissolved inorganic nitrogen in groundwater: Pilot-scale experiment and full-scale engineering validation
Nan Zhang, Xin Xiang, Jialin Wang, et al.
Journal of environmental chemical engineering (2025), pp. 116713-116713
Closed Access
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