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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:

Use of dissociation degree in lysosomes to predict metal oxide nanoparticle toxicity in immune cells: Machine learning boosts nano-safety assessment
Yang Huang, Xuehua Li, Jiayu Cao, et al.
Environment International (2022) Vol. 164, pp. 107258-107258
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Ferroptosis Induced by Pollutants: An Emerging Mechanism in Environmental Toxicology
Lili Yang, Xiaoming Cai, Ruibin Li
Environmental Science & Technology (2024) Vol. 58, Iss. 5, pp. 2166-2184
Closed Access | Times Cited: 35
Application of Machine Learning in Material Synthesis and Property Prediction
Guannan Huang, Yani Guo, Ye Chen, et al.
Materials (2023) Vol. 16, Iss. 17, pp. 5977-5977
Open Access | Times Cited: 41
A review on chitosan/metal oxide nanocomposites for applications in environmental remediation
Ru Jiang, Huayue Zhu, Xiao Zang, et al.
International Journal of Biological Macromolecules (2023) Vol. 254, pp. 127887-127887
Closed Access | Times Cited: 36
Converting Nanotoxicity Data to Information Using Artificial Intelligence and Simulation
Xiliang Yan, Tongtao Yue, David A. Winkler, et al.
Chemical Reviews (2023) Vol. 123, Iss. 13, pp. 8575-8637
Closed Access | Times Cited: 33
In silico assessment of nanoparticle toxicity powered by the Enalos Cloud Platform: Integrating automated machine learning and synthetic data for enhanced nanosafety evaluation
Dimitra‐Danai Varsou, Panagiotis D. Kolokathis, Μαρία Αντωνίου, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 25, pp. 47-60
Open Access | Times Cited: 13
Application of Machine Learning in Nanotoxicology: A Critical Review and Perspective
Yunchi Zhou, Ying Wang, Willie J.G.M. Peijnenburg, et al.
Environmental Science & Technology (2024)
Closed Access | Times Cited: 8
Integrating Machine Learning and Nano-QSAR Models to Predict the Oxidative Stress Potential Caused by Single and Mixed Carbon Nanomaterials in Algal Cells
Qi Qi, Zhuang Wang
Environmental Toxicology and Chemistry (2025)
Closed Access | Times Cited: 1
Predicting the dissolution of metal-based nanoparticles by means of QSPRs and the effect of data augmentation
Yuchao Song, Surendra Balraadjsing, Willie J.G.M. Peijnenburg, et al.
NanoImpact (2025), pp. 100547-100547
Open Access | Times Cited: 1
Predicting the toxicity of nanoparticles using artificial intelligence tools: a systematic review
Alireza Banaye Yazdipour, Hoorie Masoorian, Mahnaz Ahmadi, et al.
Nanotoxicology (2023) Vol. 17, Iss. 1, pp. 62-77
Closed Access | Times Cited: 13
Machine learning assisted-nanomedicine using magnetic nanoparticles for central nervous system diseases
Asahi Tomitaka, Arti Vashist, Nagesh Kolishetti, et al.
Nanoscale Advances (2023) Vol. 5, Iss. 17, pp. 4354-4367
Open Access | Times Cited: 12
Machine learning approach to investigate macrophage polarization on Ti surface characteristics
Changzhong Chen, Z. P. Xie, Songyu Yang, et al.
BME Frontiers (2025) Vol. 6
Open Access
Unleashing the Potential of Metal Ions in cGAS-STING Activation: Advancing Nanomaterial-Based Tumor Immunotherapy
Xingyin Li, Shaojie Xu, Ziliang Su, et al.
ACS Omega (2025)
Open Access
Multimodal feature fusion machine learning for predicting chronic injury induced by engineered nanomaterials
Yang Huang, Jiayu Cao, Xuehua Li, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Insights into eco-corona formation and its role in the biological effects of nanomaterials from a molecular mechanisms perspective
Saibo Liu, Xinran Zhang, Kai Zeng, et al.
The Science of The Total Environment (2022) Vol. 858, pp. 159867-159867
Closed Access | Times Cited: 14
Application of Computing as a High-Practicability and -Efficiency Auxiliary Tool in Nanodrugs Discovery
Ke Xu, Shilin Li, Yangkai Zhou, et al.
Pharmaceutics (2023) Vol. 15, Iss. 4, pp. 1064-1064
Open Access | Times Cited: 7
Advances in Nanomaterials for Drug Delivery
Bancha Yingngam
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2023), pp. 22-85
Closed Access | Times Cited: 7
In Vitro-to-In Vivo Extrapolation on Lung Toxicity Induced by Metal Oxide Nanoparticles via Data-Mining
Yang Huang, Tianqin Wang, Yue Li, et al.
Environmental Science & Technology (2024)
Closed Access | Times Cited: 2
Interpretable Causal System Optimization Framework for the Advancement of Biological Effect Prediction and Redesign of Nanoparticles
Dong Xu, Xiangang Hu, Fubo Yu, et al.
Journal of the American Chemical Society (2024) Vol. 146, Iss. 32, pp. 22747-22758
Closed Access | Times Cited: 1
A Model for Screening the Fate and Behaviour of the Engineered Nanoparticles in Aquatic Systems Using Semi-Quantitative Analysis and Decision Tree Classifiers
Ntsikelelo yalezo, N Musee, Michael O. Daramola
(2024)
Closed Access
Machine learning models for quantitatively prediction of toxicity in macrophages induced by metal oxide nanoparticles
Tianqin Wang, Yang Huang, Hongwu Zhang, et al.
Chemosphere (2024) Vol. 370, pp. 143923-143923
Closed Access
Green synthesis and characterization of CuO/ZnO nanocomposite using Musa acuminata leaf extract for cytotoxic studies on colorectal cancer cells (HCC2998)
Young Yau Wong, Hemaroopini Subramaniam, Ling Shing Wong, et al.
Green Processing and Synthesis (2024) Vol. 13, Iss. 1
Open Access
Advanced Toxicity Assessment: A BiLSTM Approach for Nanoparticle Safety
Nisha Vashishat, R. S. Rimal Isaac
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2024), pp. 351-357
Closed Access
Effects of Engineered Nanomaterials on Aquatic Plants: Current Status, Trends, and Challenges
Hongwei Yu, Jun Chen, Nan Shen, et al.
˜The œhandbook of environmental chemistry (2024)
Closed Access
Ensemble Learning Applications in Multiple Industries: A Review
Kuo-Yi Lin, Chancy Huang
Information Dynamics and Applications (2022) Vol. 1, Iss. 1, pp. 44-58
Open Access | Times Cited: 2
In Silico Simulation of Impacts of Metal Nano-Oxides on Cell Viability in THP-1 Cells Based on the Correlation Weights of the Fragments of Molecular Structures and Codes of Experimental Conditions Represented by Means of Quasi-SMILES
Alla P. Toropova, Andrey A. Toropov, Natalja Fjodorova
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 3, pp. 2058-2058
Open Access
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