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:

Attention-Based Graph Neural Network for Molecular Solubility Prediction
Waqar Ahmad, Hilal Tayara, Kil To Chong
ACS Omega (2023) Vol. 8, Iss. 3, pp. 3236-3244
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
Neural Networks (2024) Vol. 173, pp. 106207-106207
Open Access | Times Cited: 117
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: 1
Multimodal fused deep learning for drug property prediction: Integrating chemical language and molecular graph
Xiaohua Lu, Liangxu Xie, Lei Xu, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1666-1679
Open Access | Times Cited: 7
Recent Advances in the Application of Machine Learning to Crystal Behavior and Crystallization Process Control
Meijin Lu, Silin Rao, Hong Yue, et al.
Crystal Growth & Design (2024) Vol. 24, Iss. 12, pp. 5374-5396
Closed Access | Times Cited: 7
Stack-AAgP: Computational prediction and interpretation of anti-angiogenic peptides using a meta-learning framework
Saima Gaffar, Hilal Tayara, Kil To Chong
Computers in Biology and Medicine (2024) Vol. 174, pp. 108438-108438
Closed Access | Times Cited: 6
Harnessing machine learning to predict cytochrome P450 inhibition through molecular properties
Hamza Zahid, Hilal Tayara, Kil To Chong
Archives of Toxicology (2024) Vol. 98, Iss. 8, pp. 2647-2658
Closed Access | Times Cited: 6
Artificial Intelligence Assisted Pharmaceutical Crystallization
Zuoxuan Zhu, Yuan Zhang, Zhixuan Wang, et al.
Crystal Growth & Design (2024) Vol. 24, Iss. 10, pp. 4245-4270
Closed Access | Times Cited: 5
A machine learning method for predicting molecular antimicrobial activity
Bangjiang Lin, Shujie Yan, Bowen Zhen
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Enhancing DILI Toxicity Prediction through Integrated Graph Attention (GATNN) and Dense Neural Networks (DNN).
Agung Surya Wibowo, Kil To Chong, Hilal Tayara
Toxicology (2025), pp. 154108-154108
Closed Access
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: 13
Prediction and Interpretability of Melting Points of Ionic Liquids Using Graph Neural Networks
Haijun Feng, Lanlan Qin, Bingxuan Zhang, et al.
ACS Omega (2024) Vol. 9, Iss. 14, pp. 16016-16025
Open Access | Times Cited: 3
A Machine Learning Approach for the Prediction of Aqueous Solubility of Pharmaceuticals: A Comparative Model and Dataset Analysis
Mohammad Amin Ghanavati, Soroush Ahmadi, Sohrab Rohani
Digital Discovery (2024)
Open Access | Times Cited: 3
Drug Solubility Prediction: A Comparative Analysis of GNN, MLP, and Traditional Machine Learning Algorithms
Veysel Gider, Cafer Budak
Gazi Üniversitesi Fen Bilimleri Dergisi Part C Tasarım ve Teknoloji (2024) Vol. 12, Iss. 1, pp. 164-175
Open Access | Times Cited: 2
NaII-Pred: An ensemble-learning framework for the identification and interpretation of sodium ion inhibitors by fusing multiple feature representation
Mir Tanveerul Hassan, Hilal Tayara, Kil To Chong
Computers in Biology and Medicine (2024) Vol. 178, pp. 108737-108737
Closed Access | Times Cited: 2
Global-local graph attention: unifying global and local attention for node classification
Keao Lin, Xiaozhu Xie, Wei Weng, et al.
The Computer Journal (2024) Vol. 67, Iss. 10, pp. 2959-2969
Closed Access | Times Cited: 2
Graph Neural Networks for Predicting Solubility in Diverse Solvents Using MolMerger Incorporating Solute–Solvent Interactions
Vansh Ramani, Tarak Karmakar
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 15, pp. 6549-6558
Open Access | Times Cited: 2
Machine Learned Classification of Ligand Intrinsic Activities at Humanµ-Opioid Receptor
Myongin Oh, Maximilian Shen, Ruibin Liu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Possum: identification and interpretation of potassium ion inhibitors using probabilistic feature vectors
Mir Tanveerul Hassan, Hilal Tayara, Kil To Chong
Archives of Toxicology (2024)
Closed Access | Times Cited: 1
Towards the prediction of drug solubility in binary solvent mixtures at various temperatures using machine learning
Zeqing Bao, Gary Tom, Austin Cheng, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 1
A deep learning framework for predicting molecular property based on multi-type features fusion
Mei Ma, Xiujuan Lei
Computers in Biology and Medicine (2023) Vol. 169, pp. 107911-107911
Closed Access | Times Cited: 4
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Towards the Prediction of Drug Solubility in Binary Solvent Mixtures at Various Temperatures Using Machine Learning
Zeqing Bao, Gary Tom, Austin Cheng, et al.
Research Square (Research Square) (2024)
Open Access
Harnessing AI for Optimizing Formulation Components in Advanced Drug Delivery Systems: Analysis of Large-Scale Screening Data
Yogesh Chaudhari
SSRN Electronic Journal (2024)
Closed Access
MFAGCN: A Novel Machine Learning Method for Predicting Molecular Antimicrobial Activity
Bangjiang Lin, Shujie Yan, Bowen Zhen
Research Square (Research Square) (2024)
Open Access
Machine Learned Classification of Ligand Intrinsic Activities at Human μ-Opioid Receptor
Myongin Oh, Maximilian Shen, Ruibin Liu, et al.
ACS Chemical Neuroscience (2024) Vol. 15, Iss. 15, pp. 2842-2852
Open Access
Page 1 - Next Page

Scroll to top