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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:

Versatile in silico modelling of microplastics adsorption capacity in aqueous environment based on molecular descriptor and machine learning
Tengyi Zhu, Cuicui Tao, Haomiao Cheng, et al.
The Science of The Total Environment (2022) Vol. 846, pp. 157455-157455
Closed Access | Times Cited: 23

Showing 23 citing articles:

Sentinel species selection for monitoring microplastic pollution: A review on one health approach
Cristiana Roberta Multisanti, Carmine Merola, Monia Perugini, et al.
Ecological Indicators (2022) Vol. 145, pp. 109587-109587
Closed Access | Times Cited: 111
Prediction of acute toxicity for Chlorella vulgaris caused by tire wear particle-derived compounds using quantitative structure-activity relationship models
Jie-Ru Jiang, Wen-Xi Cai, Zhifeng Chen, et al.
Water Research (2024) Vol. 256, pp. 121643-121643
Closed Access | Times Cited: 12
Interactions of microplastics and soil pollutants in soil-plant systems
Shanying He, Yufei Wei, Chunping Yang, et al.
Environmental Pollution (2022) Vol. 315, pp. 120357-120357
Closed Access | Times Cited: 43
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: 27
Predicting aqueous sorption of organic pollutants on microplastics with machine learning
Ye Qiu, Zhejun Li, Tong Zhang, et al.
Water Research (2023) Vol. 244, pp. 120503-120503
Closed Access | Times Cited: 25
Classification and regression machine learning models for predicting the combined toxicity and interactions of antibiotics and fungicides mixtures
Li‐Tang Qin, Jun-Yao Zhang, Qiong-Yuan Nong, et al.
Environmental Pollution (2024) Vol. 360, pp. 124565-124565
Closed Access | Times Cited: 4
A QSAR prediction model for adsorption of organic contaminants on microplastics: Dubinin-Astakhov plus linear solvation energy relationships
Yunhai Zhang, Haoran Mao, Qing Ma, et al.
The Science of The Total Environment (2024) Vol. 930, pp. 172801-172801
Closed Access | Times Cited: 3
Data driven toxicity assessment of organic chemicals against Gammarus species using QSAR approach
Yang Lü, Tian Ruya, Zhoujing Li, et al.
Chemosphere (2023) Vol. 328, pp. 138433-138433
Closed Access | Times Cited: 11
Study on performance evaluation framework and design/ selection guidelines of working fluids for subcritical organic Rankine cycle from molecular structure perspective
Yinlian Yan, Fubin Yang, Hongguang Zhang, et al.
Energy (2023) Vol. 282, pp. 128582-128582
Closed Access | Times Cited: 8
Retrieval of TP Concentration from UAV Multispectral Images Using IOA-ML Models in Small Inland Waterbodies
Wentong Hu, Jie Liu, He Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1250-1250
Open Access | Times Cited: 7
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
Assessment of organic micropollutants rejection by forward osmosis system using interpretable machine learning-assisted approach: A new perspective on optimization of multifactorial forward osmosis process
Tengyi Zhu, Yu Zhang, Yi Li, et al.
Journal of environmental chemical engineering (2023) Vol. 11, Iss. 5, pp. 110847-110847
Closed Access | Times Cited: 6
Modeling of Microplastic Contamination Using Soft Computational Methods: Advances, Challenges, and Opportunities
Johnbosco C. Egbueri, Daniel A. Ayejoto, Johnson C. Agbasi, et al.
Emerging contaminants and associated treatment technologies (2024), pp. 553-579
Closed Access | Times Cited: 1
Identification of antigen-presentation related B cells as a key player in Crohn’s disease using single-cell dissecting, hdWGCNA, and deep learning
Xin Shen, Shaocong Mo, Xinlei Zeng, et al.
Clinical and Experimental Medicine (2023) Vol. 23, Iss. 8, pp. 5255-5267
Closed Access | Times Cited: 3
Contribution of molecular structures and quantum chemistry technique to root concentration factor: An innovative application of interpretable machine learning
Tengyi Zhu, Yu Zhang, Yi Li, et al.
Journal of Hazardous Materials (2023) Vol. 459, pp. 132320-132320
Closed Access | Times Cited: 2
Prospective Application of Artificial Intelligence Towards the Detection, and Classifications of Microplastics with Bibliometric Analysis
B. Thangagiri, R. Sivakumar
Water Air & Soil Pollution (2024) Vol. 235, Iss. 6
Closed Access
Rapidly Predicting Aqueous Adsorption Constants of Organic Pollutants onto Polyethylene Microplastics by Combining Molecular Dynamics Simulations and Machine Learning
Lihao Su, Zhongyu Wang, Zijun Xiao, et al.
ACS ES&T Water (2024) Vol. 4, Iss. 9, pp. 4184-4192
Closed Access
Fabrication of superhydrophobic copper slag-based inorganic polymer adsorbents by silane grafting using response surface methodology for the removal of microplastics from aqueous solutions
A. Mullaimalar, R. Jeyalakshmi
Journal of Water Process Engineering (2024) Vol. 69, pp. 106620-106620
Closed Access
Retrieval of water quality parameters based on IOA-ML models and their response to short-term hydrometeorological factors
Wentong Hu, Donghao Miao, Chi Zhang, et al.
Journal of Hydrology Regional Studies (2024) Vol. 57, pp. 102118-102118
Closed Access
Visões para um mundo sustentável: Abordagens em ciência, tecnologia, gestão socioambiental e governança
Tania Pereira Christopoulos, Wânia Duleba, Flávia Noronha Dutra Ribeiro, et al.
Editora Blucher eBooks (2024)
Open Access
Microplásticos e aprendizado de máquina: uma revisão sistemática
Tuanny Lemos Balestrin, Wânia Duleba
Editora Blucher eBooks (2024), pp. 200-219
Open Access
Theoretical prediction for carrying capacity of microplastic toward organic pollutants
Xiaoxuan Wei, Bohao Li, Fang Xiao, et al.
Elsevier eBooks (2023), pp. 447-457
Closed Access | Times Cited: 1
Design and Fabrication of Material Separation Machine for Sustainable Development
Ankit Singhal, Mohit Kumar Singh Senger, Gunjan Agarwal, et al.
International Journal of Materials Manufacturing and Sustainable Technologies (2023) Vol. 2, Iss. 1, pp. 41-48
Open Access
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