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:

A Systematic Survey of Chemical Pre-trained Models
Jun Xia, Yanqiao Zhu, Yuanqi Du, et al.
(2023), pp. 6787-6795
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A knowledge-guided pre-training framework for improving molecular representation learning
Han Li, Ruotian Zhang, Yaosen Min, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 40
Automation and machine learning augmented by large language models in a catalysis study
Yuming Su, Xue Wang, Yuanxiang Ye, et al.
Chemical Science (2024) Vol. 15, Iss. 31, pp. 12200-12233
Open Access | Times Cited: 17
A review of deep learning methods for ligand based drug virtual screening
Hongjie Wu, Junkai Liu, Runhua Zhang, et al.
Fundamental Research (2024) Vol. 4, Iss. 4, pp. 715-737
Open Access | Times Cited: 16
Mixed Graph Contrastive Network for Semi-supervised Node Classification
Xihong Yang, Yiqi Wang, Yue Liu, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 7, pp. 1-19
Open Access | Times Cited: 9
MIFS: An adaptive multipath information fused self-supervised framework for drug discovery
Xu Gong, Qun Liu, Rui Han, et al.
Neural Networks (2025) Vol. 184, pp. 107088-107088
Closed Access | Times Cited: 2
Comparing SMILES and SELFIES tokenization for enhanced chemical language modeling
Mark Leon, Yuriy Perezhohin, Fernando Peres, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software
Wenxin Jiang, Jerin Yasmin, Jason Jones, et al.
(2024), pp. 431-443
Open Access | Times Cited: 4
Pretraining graph transformers with atom-in-a-molecule quantum properties for improved ADMET modeling
Alessio Fallani, Ramil Nugmanov, Jose A. Arjona-Medina, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Predicting PROTAC-targeted Degradation and Designing Androgen Receptor Degraders with AiPROTAC
Li Zhang, Renhong Sun, Xia Li, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Introduction to Machine Learning for Predictive Modeling of Organic Materials
Didier Mathieu, Clément Wespiser
Challenges and advances in computational chemistry and physics (2025), pp. 43-60
Closed Access
ACtriplet: An improved deep learning model for activity cliffs prediction by integrating triplet loss and pre-training
Xinxin Yu, Yimeng Wang, Long Chen, et al.
Journal of Pharmaceutical Analysis (2025), pp. 101317-101317
Open Access
Token-Mol 1.0: tokenized drug design with large language models
Jike Wang, Rui Qin, Mingyang Wang, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
MDFCL: Multimodal data fusion-based graph contrastive learning framework for molecular property prediction
Xu Gong, Maotao Liu, Qun Liu, et al.
Pattern Recognition (2025), pp. 111463-111463
Closed Access
Actionable predictions of human pharmacokinetics at the drug design stage
Leonid Komissarov, Nenad Manevski, Katrin Groebke Zbinden, et al.
(2024)
Open Access | Times Cited: 2
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts
Haoqiang Guo, Sendong Zhao, Haochun Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 18144-18152
Open Access | Times Cited: 2
Complementary multi-modality molecular self-supervised learning via non-overlapping masking for property prediction
Ao Shen, Mingzhi Yuan, Yingfan Ma, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 2
Actionable Predictions of Human Pharmacokinetics at the Drug Design Stage
Leonid Komissarov, Nenad Manevski, Katrin Groebke Zbinden, et al.
Molecular Pharmaceutics (2024) Vol. 21, Iss. 9, pp. 4356-4371
Closed Access | Times Cited: 2
Explainable Graph Neural Networks with Data Augmentation for Predicting pKa of C–H Acids
Hongle An, Xuyang Liu, Wensheng Cai, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2383-2392
Closed Access | Times Cited: 5
ChemGLaM: Chemical-Genomics Language Models for Compound-Protein Interaction Prediction
Takuto Koyama, Hayato Tsumura, Shigeyuki Matsumoto, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
LGGA-MPP: Local Geometry-Guided Graph Attention for Molecular Property Prediction
Lei Song, Huimin Zhu, Kaili Wang, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 8, pp. 3105-3113
Closed Access | Times Cited: 1
Transfer learning based on atomic feature extraction for the prediction of experimental ¹³C chemical shifts
Žarko Ivković, Jesús Jover, Jeremy N. Harvey
(2024)
Open Access | Times Cited: 1
Atom-Level Quantum Pretraining Enhances the Spectral Perception of Molecular Graphs in Graphormer
Alessio Fallani, Jose A. Arjona-Medina, Konstantin Chernichenko, et al.
Lecture notes in computer science (2024), pp. 71-81
Open Access | Times Cited: 1
Deep neural networks for knowledge-enhanced molecular modeling
Siyu Long, J WU, Yi Zhou, et al.
Neurocomputing (2024) Vol. 614, pp. 128838-128838
Closed Access | Times Cited: 1
Why Deep Models Often Cannot Beat Non-deep Counterparts on Molecular Property Prediction?
Jun Xia, Lecheng Zhang, Xiao Zhu, et al.
(2023)
Open Access | Times Cited: 3
Why Deep Models Often Cannot Beat Non-deep Counterparts on Molecular Property Prediction?
Jun Xia, Lecheng Zhang, Xiao Zhu, et al.
(2023)
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top