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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 to Predict the Adsorption Capacity of Microplastics
Gonzalo Astray, Anton Soria-López, Enrique Barreiro, et al.
Nanomaterials (2023) Vol. 13, Iss. 6, pp. 1061-1061
Open Access | Times Cited: 22

Showing 22 citing articles:

Microplastics in the environment: A critical overview on its fate, toxicity, implications, management, and bioremediation strategies
Aswin Thacharodi, Ramu Meenatchi, Saqib Hassan, et al.
Journal of Environmental Management (2023) Vol. 349, pp. 119433-119433
Closed Access | Times Cited: 124
Polystyrene microplastics induce size-dependent multi-organ damage in mice: Insights into gut microbiota and fecal metabolites
Zhu Zhang, Wenqing Chen, Hiutung Chan, et al.
Journal of Hazardous Materials (2023) Vol. 461, pp. 132503-132503
Closed Access | Times Cited: 40
Photo-oxidation of Micro- and Nanoplastics: Physical, Chemical, and Biological Effects in Environments
Yanghui Xu, Qin Ou, Jan Peter van der Hoek, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 2, pp. 991-1009
Open Access | Times Cited: 33
Using artificial intelligence to rapidly identify microplastics pollution and predict microplastics environmental behaviors
Binbin Hu, Yaodan Dai, Haidong Zhou, et al.
Journal of Hazardous Materials (2024) Vol. 474, pp. 134865-134865
Closed Access | Times Cited: 12
Machine learning: Next promising trend for microplastics study
Jiming Su, Fupeng Zhang, Chuanxiu Yu, et al.
Journal of Environmental Management (2023) Vol. 344, pp. 118756-118756
Closed Access | Times Cited: 26
How many microplastics do you need to (sub)sample?
Win Cowger, Laura Markley, Shelly Moore, et al.
Ecotoxicology and Environmental Safety (2024) Vol. 275, pp. 116243-116243
Open Access | Times Cited: 9
Predicting microplastic quantities in Indonesian provincial rivers using machine learning models
Aan Priyanto, Dian Ahmad Hapidin, Dhewa Edikresnha, et al.
The Science of The Total Environment (2025) Vol. 961, pp. 178411-178411
Closed Access
Machine learning-driven QSAR models for predicting the cytotoxicity of five common microplastics
Chengze Liu, Cheng Zong, Shuang Chen, et al.
Toxicology (2024) Vol. 508, pp. 153918-153918
Closed Access | Times Cited: 4
Unveiling the impact of short-term polyethylene microplastics exposure on metabolomics and gut microbiota in earthworms (Eudrilus euganiae)
Wan Ting Chan, Carl Angelo Medriano, Sungwoo Bae
Journal of Hazardous Materials (2023) Vol. 460, pp. 132305-132305
Closed Access | Times Cited: 11
Recent Advances in the Aggregation Behavior of Nanoplastics in Aquatic Systems
A. Cid, Mário Diniz
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 18, pp. 13995-13995
Open Access | Times Cited: 8
Ionic surfactants critical micelle concentration prediction in water/organic solvent mixtures by artificial neural network
Anton Soria-López, Maria Garcia‐Marti, Enrique Barreiro, et al.
Tenside Surfactants Detergents (2024)
Closed Access | Times Cited: 2
Machine Learning Prediction of Adsorption Behavior of Xenobiotics on Microplastics under Different Environmental Conditions
Michael Bryant, Xingmao Ma
ACS ES&T Water (2023) Vol. 4, Iss. 3, pp. 991-999
Open Access | Times Cited: 7
The adsorption and release mechanism of different aged microplastics toward Hg(II) via batch experiment and the deep learning method
Lianghong Li, Bin Xue, Haiying Lin, et al.
Chemosphere (2023) Vol. 350, pp. 141067-141067
Closed Access | Times Cited: 7
The use of artificial neural networks in modelling migration pollutants from the degradation of microplastics
Małgorzata Kida, Kamil Pochwat, Sabina Ziembowicz, et al.
The Science of The Total Environment (2023) Vol. 904, pp. 166856-166856
Closed Access | Times Cited: 6
Traceability of Microplastic Fragments from Waste Plastic Express Packages Using Near-Infrared Spectroscopy Combined with Chemometrics
Xian‐Shu Fu, Xiangliang Pan, Jun Chen, et al.
Molecules (2024) Vol. 29, Iss. 6, pp. 1308-1308
Open Access | Times Cited: 1
Adsorption behavior and mechanism of heavy metals onto microplastics: A meta-analysis assisted by machine learning
Shuangshuang Bi, Shuangfeng Liu, Enfeng Liu, et al.
Environmental Pollution (2024) Vol. 360, pp. 124634-124634
Closed Access | Times Cited: 1
Machine Learning Models to Classify Shiitake Mushrooms (Lentinula edodes) According to Their Geographical Origin Labeling
Raquel Rodríguez‐Fernández, Ángela Fernández-Gómez, J. C. Mejuto, et al.
Foods (2024) Vol. 13, Iss. 17, pp. 2656-2656
Open Access | Times Cited: 1
Efficient Pulp and Paper Wastewater Treatment Using Green Tea-Synthesized Magnetite: Artificial Intelligence and Kinetic Analysis
Raouf Hassan
Desalination and Water Treatment (2024), pp. 100804-100804
Open Access | Times Cited: 1
Modeling of multicomponent adsorption equilibria of phenol and ciprofloxacin on pristine, acid-modified and thermo-oxidatively-aged polyethylene terephthalate microplastics
Christian Ebere Enyoh, Qingyue Wang
Cambridge Prisms Plastics (2024) Vol. 2
Open Access | Times Cited: 1
SegNet‐VOLO model for classifying microplastic contaminants in water bodies
Rajendran Thavasimuthu, P. M. Vidhya, S. Sekar, et al.
Polymers for Advanced Technologies (2024) Vol. 35, Iss. 7
Closed Access
A Perspective on Green Solutions and Future Research Paths for Microplastic and Nanoplastic Contamination in Drinking Water
Sadashiv Chaturvedi, Amit Kumar, Min Liu, et al.
CLEAN - Soil Air Water (2024)
Closed Access
A new modeling approach for microplastic drag and settling velocity
Shicheng Li, Xin Ma
Journal of Environmental Management (2024) Vol. 372, pp. 123375-123375
Closed Access
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