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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:

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

Showing 25 citing articles:

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
Machine learning-driven prediction of phosphorus removal performance of metal-modified biochar and optimization of preparation processes considering water quality management objectives
Weilin Fu, Menghan Feng, Changbin Guo, et al.
Bioresource Technology (2024) Vol. 403, pp. 130861-130861
Closed Access | Times Cited: 9
Multitask Deep Learning Model Reveals Oils and Phenols Co-Adsorption Effect in Coal Chemical Wastewater: Breaking the Bottleneck of Selective Adsorption Separation
Zhuangzhuang Yang, Yongjun Liu, Zhe Liu, et al.
(2025)
Closed Access
Using physical method, machine learning and hybrid method to model soil water movement
Jinjun Zhou, Tianyi Huang, Hao Wang, et al.
Journal of Hydrology (2025), pp. 132639-132639
Closed Access
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-aided biochar design for the adsorptive removal of emerging inorganic pollutants in water
Habib Ullah, Sangar Khan, Xiaoying Zhu, et al.
Separation and Purification Technology (2025), pp. 131421-131421
Closed Access
Assessment of Global Antibiotic Exposure Risk for Crops: Incorporating Soil Adsorption via Machine Learning
Han Zhu, Jianliang He, Yanmei Wu, et al.
Environmental Science & Technology (2024)
Closed Access | Times Cited: 5
Joule heat assisting electrochemical degradation of polyethylene microplastics melted on anode
Dan Shao, Weipeng Zhao, Shiyu Ji, et al.
Applied Catalysis B Environment and Energy (2024) Vol. 357, pp. 124281-124281
Closed Access | Times Cited: 4
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
Deep convolutional neural networks for aged microplastics identification by Fourier transform infrared spectra classification
Ganning Zeng, Yuan Ma, Mingming Du, et al.
The Science of The Total Environment (2023) Vol. 913, pp. 169623-169623
Closed Access | Times Cited: 13
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
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
Concentration division for adsorption coefficient prediction using machine learning with Abraham descriptors: data-splitting approach comparison and critical factors identification
Zhenguo Qi, Shifa Zhong, Xin Huang, et al.
Carbon (2024) Vol. 230, pp. 119573-119573
Closed Access | Times Cited: 1
Spatiotemporal variations and the ecological risks of microplastics in the watersheds of China: Implying the impacts of the COVID-19 pandemic
Xufei Liu, Lin Zhang, Yaqing Du, et al.
The Science of The Total Environment (2024) Vol. 952, pp. 175988-175988
Closed Access | Times Cited: 1
A machine learning based framework to tailor properties of nanofiltration and reverse osmosis membranes for targeted removal of organic micropollutants
Airan Hu, Yanling Liu, Xiaomao Wang, et al.
Water Research (2024) Vol. 268, pp. 122677-122677
Closed Access | Times Cited: 1
A Critical Review of an Environmental Risk Substance Induced by Aging Microplastics: Insights into Environmentally Persistent Free Radicals
Linyang Xie, Kecheng Zhu, Na Chen, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 51, pp. 22502-22518
Closed Access | Times Cited: 1
Automatic Identification of Suspended Particle Type and Size Distribution Based on Electrical Sensing Zone Detection and Machine Learning
Yitao Pu, Yuxuan Yuxuan, Kang Xiao, et al.
(2024)
Closed Access
Machine-Learning-Based Prediction of Plant Cuticle–Air Partition Coefficients for Organic Pollutants: Revealing Mechanisms from a Molecular Structure Perspective
Tianyun Tao, Cuicui Tao, Tengyi Zhu
Molecules (2024) Vol. 29, Iss. 6, pp. 1381-1381
Open Access
Machine Learning–Driven Prediction of Phosphorus Removal Performance of Metal-Modified Biochar and Optimization of Preparation Processes Considering Water Quality Management Objectives
Weilin Fu, Menghan Feng, Changbin Guo, et al.
(2024)
Closed Access
Machine learning modeling of thermally assisted biodrying process for municipal sludge
Kaiqiang Zhang, Ningfung Wang
Waste Management (2024) Vol. 188, pp. 95-106
Closed Access
Micro/nano plastics inhibit the formation of barium sulfate scale on metal surface
Ye Qiu, Tong Zhang, Ping Zhang
Journal of Hazardous Materials (2024) Vol. 480, pp. 136151-136151
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
In Silico Models for Predicting Adsorption of Organic Pollutants on Microplastics by Combining Gcmc/Dft and Qsar Approach
Ya Wang, Honghong Yi, Chao Li, et al.
(2024)
Closed Access
Microplastics in China’s surface water systems: Distribution, driving forces and ecological risk
Xufei Liu, Lin Zhang, Yaqing Du, et al.
Journal of Hazardous Materials (2024) Vol. 485, pp. 136864-136864
Closed Access
Deciphering the adsorption mechanisms between microplastics and antibiotics: A tree-based stacking machine learning approach
Zhiyuan Gao, Lingwei Kong, Donglin Han, et al.
Journal of Cleaner Production (2024) Vol. 486, pp. 144589-144589
Closed Access
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