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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 1-25 of 45 citing articles:

Identification and Prioritization of Environmental Organic Pollutants: From an Analytical and Toxicological Perspective
Ting Ruan, Pengyang Li, Haotian Wang, et al.
Chemical Reviews (2023) Vol. 123, Iss. 17, pp. 10584-10640
Closed Access | Times Cited: 87
Advances and applications of machine learning and deep learning in environmental ecology and health
Shixuan Cui, Yuchen Gao, Yizhou Huang, et al.
Environmental Pollution (2023) Vol. 335, pp. 122358-122358
Closed Access | Times Cited: 31
Graph Attention Networks: A Comprehensive Review of Methods and Applications
Aristidis G. Vrahatis, Konstantinos Lazaros, Sotiris Kotsiantis
Future Internet (2024) Vol. 16, Iss. 9, pp. 318-318
Open Access | Times Cited: 10
Graph Convolutional Network-Enhanced Model for Screening Persistent, Mobile, and Toxic and Very Persistent and Very Mobile Substances
Qiming Zhao, Yuting Zheng, Yu Qiu, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 14, pp. 6149-6157
Closed Access | Times Cited: 9
Reliability Testing of Machine Learning Model Prediction Capability towards Unidentifiable Microplastic Spectral Data: Triple Battery and Colorant Investigation
Wesley Allen Williams, Shyam Aravamudhan
Microplastics and Nanoplastics (2025) Vol. 5, Iss. 1
Open Access | Times Cited: 1
Machine Learning-Based Models with High Accuracy and Broad Applicability Domains for Screening PMT/vPvM Substances
Qiming Zhao, Yang Yu, Yuchen Gao, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 24, pp. 17880-17889
Closed Access | Times Cited: 31
Machine Learning Model for Screening Thyroid Stimulating Hormone Receptor Agonists Based on Updated Datasets and Improved Applicability Domain Metrics
Wenjia Liu, Zhongyu Wang, Jingwen Chen, et al.
Chemical Research in Toxicology (2023) Vol. 36, Iss. 6, pp. 947-958
Closed Access | Times Cited: 18
Enhancing property and activity prediction and interpretation using multiple molecular graph representations with MMGX
Apakorn Kengkanna, Masahito Ohue
Communications Chemistry (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 6
Integrated Transfer Learning and Multitask Learning Strategies to Construct Graph Neural Network Models for Predicting Bioaccumulation Parameters of Chemicals
Zijun Xiao, Minghua Zhu, Jingwen Chen, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 35, pp. 15650-15660
Closed Access | Times Cited: 6
Implementing comprehensive machine learning models of multispecies toxicity assessment to improve regulation of organic compounds
Ying He, Guohong Liu, Song Hu, et al.
Journal of Hazardous Materials (2023) Vol. 458, pp. 131942-131942
Closed Access | Times Cited: 14
Applicability Domains Based on Molecular Graph Contrastive Learning Enable Graph Attention Network Models to Accurately Predict 15 Environmental End Points
Haobo Wang, Wenjia Liu, Jingwen Chen, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 44, pp. 16906-16917
Closed Access | Times Cited: 14
Developing machine learning approaches to identify candidate persistent, mobile and toxic (PMT) and very persistent and very mobile (vPvM) substances based on molecular structure
Han Min, Biao Jin, Jun Liang, et al.
Water Research (2023) Vol. 244, pp. 120470-120470
Closed Access | Times Cited: 13
Multimodal Model to Predict Tissue-to-Blood Partition Coefficients of Chemicals in Mammals and Fish
S. J. Zhang, Zhongyu Wang, Jingwen Chen, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 4, pp. 1944-1953
Closed Access | Times Cited: 4
Life-Cycle Environmental Impacts of Additive-Related Chemicals in Polyvinyl Chloride Plastics and the Mitigation Potential
Kai Zhao, Xin Wang, Zhenye Zhang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 37, pp. 16386-16398
Closed Access | Times Cited: 4
PBScreen: A Server for the High-Throughput Screening of Placental Barrier–Permeable Contaminants Based on Multifusion Deep Learning
Yuchen Gao, Yu Qiu, Fang Wan, et al.
Environmental Pollution (2025), pp. 125858-125858
Closed Access
GCBRGCN: Integration of ceRNA and RGCN to Identify Gastric Cancer Biomarkers
Peng Zhi, Yue Liu, Chenghui Zhao, et al.
Bioengineering (2025) Vol. 12, Iss. 3, pp. 255-255
Open Access
Hybrid intelligence for environmental pollution: biodegradability assessment of organic compounds through multimodal integration of graph attention networks and QSAR models
Abbas Salimi, Jin Yong Lee
Environmental Science Processes & Impacts (2025)
Closed Access
New trend on chemical structure representation learning in toxicology: In reviews of machine learning model methodology
Jiabin Zhang, Lei Zhao, Wei Wang, et al.
Critical Reviews in Environmental Science and Technology (2025), pp. 1-26
Closed Access
Prediction of acute toxicity of organic contaminants to fish: model development and a novel approach to identify reactive substructures
Shangyu Li, Mingming Zhang, Peizhe Sun
Journal of Hazardous Materials (2025) Vol. 491, pp. 137917-137917
Closed Access
Artificial intelligence: A key fulcrum for addressing complex environmental health issues
Lei Huang, Qiannan Duan, Yuxin Liu, et al.
Environment International (2025), pp. 109389-109389
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
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
Deep Learning in Environmental Toxicology: Current Progress and Open Challenges
Haoyue Tan, Jinsha Jin, Chao Fang, et al.
ACS ES&T Water (2023) Vol. 4, Iss. 3, pp. 805-819
Closed Access | Times Cited: 10
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
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