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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:

Graph Attention Network Model with Defined Applicability Domains for Screening PBT Chemicals
Haobo Wang, Zhongyu Wang, Jingwen Chen, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 10, pp. 6774-6785
Closed Access | Times Cited: 45

Showing 26-50 of 45 citing articles:

How machine learning boosts the understanding of organic pollutant adsorption on carbonaceous materials: A comprehensive review with statistical insights
Zichu Wang, Qi Wang, Fan Yang, et al.
Separation and Purification Technology (2024) Vol. 350, pp. 127790-127790
Closed Access | Times Cited: 3
Application of Deep Learning to Predict the Persistence, Bioaccumulation, and Toxicity of Pharmaceuticals
Daniele Evangelista, Elliot R Nelson, R. Skyner, et al.
Journal of Chemical Information and Modeling (2025)
Open Access
Artificial Intelligence for the Discovery of Safe and Effective Flame Retardants
Xiaojia Chen, Min Nian, Feng Zhao, et al.
Environmental Science & Technology (2025)
Closed Access
The occurrence, tissue distribution, and PBT potential of per- and polyfluoroalkyl substances in the freshwater organisms from the Yangtze river via nontarget analysis
Zhaoyu Jiao, Nanyang Yu, Jiadi Mao, et al.
Journal of Hazardous Materials (2023) Vol. 458, pp. 131868-131868
Closed Access | Times Cited: 9
A Graph Neural Network Model with a Transparent Decision-Making Process Defines the Applicability Domain for Environmental Estrogen Screening
Fan Fan, Gang Wu, Yining Yang, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 18236-18245
Closed Access | Times Cited: 8
Identifying priority PBT-like compounds from emerging PFAS by nontargeted analysis and machine learning models
Bao-Cang Han, Jun S. Liu, Aaron Bizimana, et al.
Environmental Pollution (2023) Vol. 338, pp. 122663-122663
Closed Access | Times Cited: 8
Material flow analysis of chemical additives in plastics: A critical review
Jiayu Wang, Faith Ka Shun Chan, Matthew F. Johnson, et al.
Critical Reviews in Environmental Science and Technology (2024) Vol. 54, Iss. 23, pp. 1692-1708
Closed Access | Times Cited: 2
Machine learning-assisted identification of environmental pollutants by liquid chromatography coupled with high-resolution mass spectrometry
Haotian Wang, Laijin Zhong, Wenyuan Su, et al.
TrAC Trends in Analytical Chemistry (2024), pp. 117988-117988
Closed Access | Times Cited: 2
Hi-MGT: A hybrid molecule graph transformer for toxicity identification
Zhichao Tan, Youcai Zhao, Tao Zhou, et al.
Journal of Hazardous Materials (2023) Vol. 457, pp. 131808-131808
Closed Access | Times Cited: 6
Enhancing Model Learning and Interpretation using Multiple Molecular Graph Representations for Compound Property and Activity Prediction
Apakorn Kengkanna, Masahito Ohue
(2023), pp. 1-8
Closed Access | Times Cited: 5
PBT assessment of chemicals detected in effluent of wastewater treatment plants by suspected screening analysis
Gang Wu, Feng Zhu, Xuxiang Zhang, et al.
Environmental Research (2023) Vol. 237, pp. 116892-116892
Closed Access | Times Cited: 4
Multi-task pretrained language model with novel application domains enables more comprehensive health and ecological toxicity prediction
Zhichao Tan, Youcai Zhao, Kunsen Lin, et al.
Journal of Hazardous Materials (2024) Vol. 477, pp. 135265-135265
Closed Access | Times Cited: 1
Graph Neural Network Integrating Self-Supervised Pretraining for Precise and Interpretable Prediction of Micropollutant Treatability by HO•-Based Advanced Oxidation Processes
Jingyi Zhu, Yuanxi Huang, Lingjun Bu, et al.
ACS ES&T Engineering (2024)
Closed Access | Times Cited: 1
Determining high priority disinfection byproducts based on experimental aquatic toxicity data and predictive models: Virtual screening and in vivo study
Nan Zhou, Shuxin Sui, H. Liu, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175489-175489
Closed Access | Times Cited: 1
Multi-task machine learning models for simultaneous prediction of tissue-to-blood partition coefficients of chemicals in mammals
Shuying Zhang, Xiao‐Jun Luo, Bi‐Xian Mai
Environmental Research (2023) Vol. 241, pp. 117603-117603
Closed Access | Times Cited: 3
Improving Prediction Performance on Solute Parameters Using Multitask Relational Graph Convolutional Networks with Explicit Hydrogens
Z. J. Xiao, Minghua Zhu, Jingwen Chen
ACS ES&T Water (2024)
Closed Access
Transfer Learning with a Graph Attention Network and Weighted Loss Function for Screening of Persistent, Bioaccumulative, Mobile, and Toxic Chemicals
Haobo Wang, Wenjia Liu, Jingwen Chen, et al.
Environmental Science & Technology (2024)
Closed Access
QSAR modeling based on graph neural networks
Haobo Wang, Wenjia Liu, Jingwen Chen
Elsevier eBooks (2023), pp. 139-151
Closed Access | Times Cited: 1
Generative discovery of safer chemical alternatives using diffusion modeling: A case study in green solvent design for cyclohexane/benzene extractive distillation
Zhichao Tan, Kunsen Lin, Youcai Zhao, et al.
Journal of Environmental Sciences (2024) Vol. 154, pp. 390-401
Closed Access
Environmental computational toxicology for screening persistent, bio-accumulative, and toxic chemicals: Progress and perspectives
Haobo Wang, Jingwen Chen, Fangfang Ma, et al.
Chinese Science Bulletin (Chinese Version) (2023)
Closed Access
Toward a comprehensive understanding of alicyclic compounds: Bio-effects perspective and deep learning approach
Wenjie Shi, Kunsen Lin, Youcai Zhao, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 168927-168927
Closed Access
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