Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural network
Jiarui Chen, Yain‐Whar Si, Chon-Wai Un, et al.
Journal of Cheminformatics (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Application of artificial intelligence and machine learning in early detection of adverse drug reactions (ADRs) and drug-induced toxicity
Siyun Yang, Supratik Kar
Artificial Intelligence Chemistry (2023) Vol. 1, Iss. 2, pp. 100011-100011
Open Access | Times Cited: 52
Progress of machine learning in the application of small molecule druggability prediction
Junyao Li, Jianmei Zhang, Rui Guo, et al.
European Journal of Medicinal Chemistry (2025) Vol. 285, pp. 117269-117269
Closed Access | Times Cited: 2
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: 34
Computer-Aided Molecular Design of Ionic Liquids as Advanced Process Media: A Review from Fundamentals to Applications
Zhen Song, Jiahui Chen, Jie Cheng, et al.
Chemical Reviews (2023) Vol. 124, Iss. 2, pp. 248-317
Closed Access | Times Cited: 34
The prediction of molecular toxicity based on BiGRU and GraphSAGE
Jianping Liu, Xiujuan Lei, Yuchen Zhang, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106524-106524
Closed Access | Times Cited: 26
Artificial intelligence in small molecule drug discovery from 2018 to 2023: Does it really work?
Qi Lv, Feilong Zhou, Xinhua Liu, et al.
Bioorganic Chemistry (2023) Vol. 141, pp. 106894-106894
Closed Access | Times Cited: 24
A Review on the Recent Applications of Deep Learning in Predictive Drug Toxicological Studies
Krishnendu Sinha, Nabanita Ghosh, Parames C. Sil
Chemical Research in Toxicology (2023) Vol. 36, Iss. 8, pp. 1174-1205
Closed Access | Times Cited: 23
Machine learning approaches for monitoring environmental metal pollutants: Recent advances in source apportionment, detection, quantification, and risk assessment.
François Nkinahamira, Anqi Feng, Lijie Zhang, et al.
TrAC Trends in Analytical Chemistry (2024), pp. 117980-117980
Closed Access | Times Cited: 10
The changing scenario of drug discovery using AI to deep learning: Recent advancement, success stories, collaborations, and challenges
Chiranjib Chakraborty, Manojit Bhattacharya, Sang‐Soo Lee, et al.
Molecular Therapy — Nucleic Acids (2024) Vol. 35, Iss. 3, pp. 102295-102295
Open Access | Times Cited: 9
Machine Learning and Artificial Intelligence: A Paradigm Shift in Big Data-Driven Drug Design and Discovery
Purvashi Pasrija, Prakash Jha, Pruthvi Upadhyaya, et al.
Current Topics in Medicinal Chemistry (2022) Vol. 22, Iss. 20, pp. 1692-1727
Closed Access | Times Cited: 36
VenomPred 2.0: A Novel In Silico Platform for an Extended and Human Interpretable Toxicological Profiling of Small Molecules
Miriana Di Stefano, Salvatore Galati, L Piazza, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2275-2289
Open Access | Times Cited: 19
Systematic approaches to machine learning models for predicting pesticide toxicity
Ganesan Anandhi, M. Iyapparaja
Heliyon (2024) Vol. 10, Iss. 7, pp. e28752-e28752
Open Access | Times Cited: 8
Bridging knowledge gaps in human chemical exposure via drinking water with non-target screening
Davide Ciccarelli, Saer Samanipour, Helena Rapp-Wright, et al.
Critical Reviews in Environmental Science and Technology (2024), pp. 1-25
Open Access | Times Cited: 7
DeepBindGCN: Integrating Molecular Vector Representation with Graph Convolutional Neural Networks for Protein–Ligand Interaction Prediction
Haiping Zhang, Konda Mani Saravanan, John Z. H. Zhang
Molecules (2023) Vol. 28, Iss. 12, pp. 4691-4691
Open Access | Times Cited: 14
ToxMPNN: A deep learning model for small molecule toxicity prediction
Yini Zhou, Chao Ning, Yijun Tan, et al.
Journal of Applied Toxicology (2024) Vol. 44, Iss. 7, pp. 953-964
Closed Access | Times Cited: 6
Dual inhibition of AChE and MAO-B in Alzheimer’s disease: machine learning approaches and model interpretations
Qinghe Hou, Yan Li
Molecular Diversity (2025)
Open Access
A small-scale data driven and graph neural network based toxicity prediction method of compounds
Xin Zhao, Shuyi Zhang, Tao Zhang, et al.
Computational Biology and Chemistry (2025) Vol. 117, pp. 108393-108393
Closed Access
Memol: Mixture of Experts for Multimodal Learning Through Multi-Head Attention to Predict Drug Toxicity
Jae-Woo Chu, Jong-Hoon Park, Young‐Rae Cho
(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
Artificial intelligence in preclinical research: enhancing digital twins and organ-on-chip to reduce animal testing
Amit Gangwal, Antonio Lavecchia
Drug Discovery Today (2025), pp. 104360-104360
Open Access
Development of an Interpretable Machine Learning Model for Neurotoxicity Prediction of Environmentally Related Compounds
Yuxing Hao, Zhihui Duan, Lizheng Liu, et al.
Environmental Science & Technology (2025)
Closed Access
TabNet and TabTransformer: Novel Deep Learning Models for Chemical Toxicity Prediction in Comparison With Machine Learning
Firas Mahmood Mustafa, Ali Fawzi Al‐Hussainy, Hardik Doshi, et al.
Journal of Applied Toxicology (2025)
Closed Access
QuantumTox: Utilizing quantum chemistry with ensemble learning for molecular toxicity prediction
Xun Wang, Lulu Wang, Shuang Wang, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106744-106744
Closed Access | Times Cited: 9
Machine learning-based QSAR and LB-PaCS-MD guided design of SARS-CoV-2 main protease inhibitors
Borwornlak Toopradab, Wanting Xie, Lian Duan, et al.
Bioorganic & Medicinal Chemistry Letters (2024) Vol. 110, pp. 129852-129852
Closed Access | Times Cited: 3
Semisupervised Learning to Boost hERG, Nav1.5, and Cav1.2 Cardiac Ion Channel Toxicity Prediction by Mining a Large Unlabeled Small Molecule Data Set
Issar Arab, Kris Laukens, Wout Bittremieux
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 16, pp. 6410-6420
Closed Access | Times Cited: 3
Page 1 - Next Page

Scroll to top