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:

Chemistry-intuitive explanation of graph neural networks for molecular property prediction with substructure masking
Zhenhua Wu, Jike Wang, Hongyan Du, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Attention is all you need: utilizing attention in AI-enabled drug discovery
Yang Zhang, Caiqi Liu, Mujiexin Liu, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 102
AI in analytical chemistry: Advancements, challenges, and future directions
Rafael Cardoso Rial
Talanta (2024) Vol. 274, pp. 125949-125949
Closed Access | Times Cited: 20
Advancing drug discovery with deep attention neural networks
Antonio Lavecchia
Drug Discovery Today (2024) Vol. 29, Iss. 8, pp. 104067-104067
Open Access | Times Cited: 9
DrugFlow: An AI-Driven One-Stop Platform for Innovative Drug Discovery
Chao Shen, Jianfei Song, Chang‐Yu Hsieh, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 14, pp. 5381-5391
Closed Access | Times Cited: 7
Molecular similarity: Theory, applications, and perspectives
Kenneth López‐Pérez, Juan F. Avellaneda-Tamayo, Lexin Chen, et al.
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100077-100077
Open Access | Times Cited: 7
Machine Learning‐Aided Design of Highly Conductive Anion Exchange Membranes for Fuel Cells and Water Electrolyzers
Qiuhuan Zhang, Yongjiang Yuan, Jiale Zhang, et al.
Advanced Materials (2024)
Open Access | Times Cited: 6
Neural network emulator for atmospheric chemical ODE
Zhi-Song Liu, Petri Clusius, Michael Boy
Neural Networks (2025) Vol. 184, pp. 107106-107106
Closed Access
Advancing paleontology: a survey on deep learning methodologies in fossil image analysis
Mohammed Yaqoob Ansari, Mohammed Ishaq Mohammed, Mohammed Yusuf Ansari, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access
A novel approach to unlocking the synergy of large language models and chemical knowledge in biomedical signal applications
Zilong Yin, Haoyu Wang, Bin Chen, et al.
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107388-107388
Closed Access
Open-Source AI Community as 'Trading Zone': The Role of Open-Source Models in the Diffusion of Artificial Intelligence Innovation Completed Research Paper
Kaige Gao, Youngjin Yoo, Aaron Schecter
(2025)
Closed Access
Filling the Gap in LogP$$ LogP $$ and pKa$$ {pK}_a $$ Evaluation for Saturated Fluorine‐Containing Derivatives With Machine Learning
Oleksandr Gurbych, Petro Pavliuk, Dmytro Krasnienkov, et al.
Journal of Computational Chemistry (2025) Vol. 46, Iss. 2
Closed Access
HiRXN: Hierarchical Attention-Based Representation Learning for Chemical Reaction
Yahui Cao, Tao Zhang, Xin Zhao, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
MMGCF: Generating Counterfactual Explanations for Molecular Property Prediction via Motif Rebuild
Xiuping Zhang, Qun Liu, R. Han
Journal of Computer and Communications (2025) Vol. 13, Iss. 01, pp. 152-168
Open Access
Chemomile: Explainable Multi-Level GNN Model for Combustion Property Prediction
Beomgyu Kang, Bong June Sung
The Journal of Physical Chemistry A (2025)
Closed Access
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: 5
Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks
Kumail Alhamoud, Yasir Ghunaim, Abdulelah S. Alshehri, et al.
Computers & Chemical Engineering (2024) Vol. 183, pp. 108622-108622
Closed Access | Times Cited: 4
Transfer learning empowers accurate pharmacokinetics prediction of small samples
Wenbo Guo, Yawen Dong, Ge‐Fei Hao
Drug Discovery Today (2024) Vol. 29, Iss. 4, pp. 103946-103946
Closed Access | Times Cited: 3
Computing the relative binding affinity of ligands based on a pairwise binding comparison network
Jie Yu, Zhaojun Li, Geng Chen, et al.
Nature Computational Science (2023) Vol. 3, Iss. 10, pp. 860-872
Open Access | Times Cited: 10
ML meets MLn: Machine learning in ligand promoted homogeneous catalysis
Jonathan D. Hirst, Samuel Boobier, Jennifer Coughlan, et al.
Artificial Intelligence Chemistry (2023) Vol. 1, Iss. 2, pp. 100006-100006
Open Access | Times Cited: 8
The Application of Artificial Intelligence Accelerates G Protein-Coupled Receptor Ligand Discovery
Wei Chen, Chi Song, Liang Leng, et al.
Engineering (2023) Vol. 32, pp. 18-28
Open Access | Times Cited: 8
QuanDB: a quantum chemical property database towards enhancing 3D molecular representation learning
Zhijiang Yang, Tengxin Huang, Li Pan, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 2
Deep-learning-based prediction framework for protein-peptide interactions with structure generation pipeline
Jingxuan Ge, Dejun Jiang, Huiyong Sun, et al.
Cell Reports Physical Science (2024) Vol. 5, Iss. 6, pp. 101980-101980
Open Access | Times Cited: 2
Enhancing Hansen Solubility Predictions with Molecular and Graph-Based Approaches
Darja Cvetković, Marija Mitrović, Aleksandar Bogojević, et al.
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 251, pp. 105168-105168
Closed Access | Times Cited: 2
AttenGpKa: A Universal Predictor of Solvation Acidity Using Graph Neural Network and Molecular Topology
Hongle An, Xuyang Liu, Wensheng Cai, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 14, pp. 5480-5491
Closed Access | Times Cited: 2
Page 1 - Next Page

Scroll to top