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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:

Developing QSAR Models with Defined Applicability Domains on PPARγ Binding Affinity Using Large Data Sets and Machine Learning Algorithms
Zhongyu Wang, Jingwen Chen, Huixiao Hong
Environmental Science & Technology (2021) Vol. 55, Iss. 10, pp. 6857-6866
Closed Access | Times Cited: 93

Showing 1-25 of 93 citing articles:

Machine learning in natural and engineered water systems
Ruixing Huang, Chengxue Ma, Jun Ma, et al.
Water Research (2021) Vol. 205, pp. 117666-117666
Closed Access | Times Cited: 199
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: 88
Count-Based Morgan Fingerprint: A More Efficient and Interpretable Molecular Representation in Developing Machine Learning-Based Predictive Regression Models for Water Contaminants’ Activities and Properties
Shifa Zhong, Xiaohong Guan
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 18193-18202
Closed Access | Times Cited: 58
Machine Learning Models for Predicting Cytotoxicity of Nanomaterials
Zuowei Ji, Wenjing Guo, Erin Wood, et al.
Chemical Research in Toxicology (2022) Vol. 35, Iss. 2, pp. 125-139
Closed Access | Times Cited: 48
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: 46
Potential Application of Machine-Learning-Based Quantum Chemical Methods in Environmental Chemistry
Deming Xia, Jingwen Chen, Zhiqiang Fu, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 4, pp. 2115-2123
Closed Access | Times Cited: 41
Review of machine learning and deep learning models for toxicity prediction
Wenjing Guo, Jie Liu, Fan Dong, et al.
Experimental Biology and Medicine (2023)
Open Access | Times Cited: 30
Design, 3D-QSAR, molecular docking, ADMET, molecular dynamics and MM-PBSA simulations for new anti-breast cancer agents
Said El Rhabori, Marwa Alaqarbeh, Abdellah El Aissouq, et al.
Chemical Physics Impact (2024) Vol. 8, pp. 100455-100455
Open Access | Times Cited: 16
Predicting the binding configuration and release potential of heavy metals on iron (oxyhydr)oxides: A machine learning study on EXAFS
Junqin Liu, Jiang Zhao, Jiapan Du, et al.
Journal of Hazardous Materials (2024) Vol. 468, pp. 133797-133797
Closed Access | Times Cited: 10
Advancing toxicity studies of per- and poly-fluoroalkyl substances (pfass) through machine learning: Models, mechanisms, and future directions
Lingxuan Meng, Beihai Zhou, Haijun Liu, et al.
The Science of The Total Environment (2024) Vol. 946, pp. 174201-174201
Closed Access | Times Cited: 10
Fingerprinting Interactions between Proteins and Ligands for Facilitating Machine Learning in Drug Discovery
Zoe Li, Ruili Huang, Menghang Xia, et al.
Biomolecules (2024) Vol. 14, Iss. 1, pp. 72-72
Open Access | Times Cited: 9
Machine learning–enhanced molecular network reveals global exposure to hundreds of unknown PFAS
X. Y. Wang, Nanyang Yu, Zhaoyu Jiao, et al.
Science Advances (2024) Vol. 10, Iss. 21
Open Access | Times Cited: 9
Fluorescence sensor array based on covalent organic frameworks and QSAR study for identification of organic pesticides
Fangxia An, Fang Li, Shengyuan Deng, et al.
Microchemical Journal (2025), pp. 112986-112986
Closed Access | Times Cited: 1
Predictive Framework for Species Sensitivity Distribution Curves of Emerging Contaminants: A Comparative Study in Marine and Freshwater Environments
Yang Huang, Fei Li, Chenyu Wang, et al.
Environmental Science & Technology (2025)
Closed Access | Times Cited: 1
MegaSyn: Integrating Generative Molecular Design, Automated Analog Designer, and Synthetic Viability Prediction
Fabio Urbina, Christopher T. Lowden, Joseph Culberson, et al.
ACS Omega (2022) Vol. 7, Iss. 22, pp. 18699-18713
Open Access | Times Cited: 31
Are New Phthalate Ester Substitutes Safer than Traditional DBP and DiBP? Comparative Endocrine-Disrupting Analyses on Zebrafish Using In Vivo, Transcriptome, and In Silico Approaches
Haoyue Tan, Pan Gao, Yiwen Luo, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 37, pp. 13744-13756
Closed Access | Times Cited: 21
Machine learning-assisted data filtering and QSAR models for prediction of chemical acute toxicity on rat and mouse
Tao Bo, Yaohui Lin, Jinglong Han, et al.
Journal of Hazardous Materials (2023) Vol. 452, pp. 131344-131344
Closed Access | Times Cited: 20
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
Artificial intelligence in antidiabetic drug discovery: The advances in QSAR and the prediction of α-glucosidase inhibitors
Adeshina I. Odugbemi, Clement N. Nyirenda, Alan Christoffels, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2964-2977
Open Access | Times Cited: 8
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
Insights into CQDs-doped perylene diimide photocatalysts for the degradation of naproxen
Zheng Fang, Yang Liu, Ping Chen, et al.
Chemical Engineering Journal (2022) Vol. 451, pp. 138571-138571
Closed Access | Times Cited: 27
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
Machine learning and deep learning for brain tumor MRI image segmentation
Md Kamrul Hasan Khan, Wenjing Guo, Jie Liu, et al.
Experimental Biology and Medicine (2023)
Open Access | Times Cited: 14
Prediction of medicinal properties using mathematical models and computation, and selection of plant materials
Sanjoy Singh Ningthoujam, Rajat Nath, Satyajit D. Sarker, et al.
Elsevier eBooks (2024), pp. 91-123
Closed Access | Times Cited: 5
Carcinogenic Risk of 2,6-Di-tert-Butylphenol and Its Quinone Metabolite 2,6-DTBQ Through Their Interruption of RARβ: In Vivo, In Vitro, and In Silico Investigations
Shixuan Cui, Yu Yang, Tingjie Zhan, et al.
Environmental Science & Technology (2021) Vol. 56, Iss. 1, pp. 480-490
Closed Access | Times Cited: 32
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