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:

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: 37

Showing 1-25 of 37 citing articles:

Artificial intelligence in drug development
Kang Zhang, Xin Yang, Yifei Wang, et al.
Nature Medicine (2025) Vol. 31, Iss. 1, pp. 45-59
Closed Access | Times Cited: 12

Deep representation learning of chemical-induced transcriptional profile for phenotype-based drug discovery
Xiaochu Tong, Ning Qu, Xiangtai Kong, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 14

Foundation models in bioinformatics
Fei Guo, Renchu Guan, Yaohang Li, et al.
National Science Review (2025)
Open Access | Times Cited: 1

Multi-HGNN: Multi-modal hypergraph neural networks for predicting missing reactions in metabolic networks
Yamei Huang, Xudong Liang, Tao Lin, et al.
Information Sciences (2025), pp. 121960-121960
Closed Access | Times Cited: 1

Multi-channel learning for integrating structural hierarchies into context-dependent molecular representation
Yue Wan, Jialu Wu, Tingjun Hou, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access

Protein Engineering for Industrial Biocatalysis: Principles, Approaches, and Lessons from Engineered PETases
Konstantinos Grigorakis, Christina Ferousi, Evangelos Topakas
Catalysts (2025) Vol. 15, Iss. 2, pp. 147-147
Open Access

Unifying Genetic and Chemical Perturbagen Representation through a Hybrid Deep Learning Framework
Yiming Li, Jun Zhu, Linjing Liu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access

Ligand-Induced Biased Activation of GPCRs: Recent Advances and New Directions from In Silico Approaches
Shaima Hashem, Alexis Dougha, Pierre Tufféry
Molecules (2025) Vol. 30, Iss. 5, pp. 1047-1047
Open Access

SynthMol: A Drug Safety Prediction Framework Integrating Graph Attention and Molecular Descriptors into Pre-Trained Geometric Models
Zidong Su, Rong Zhang, Xiaoyu Fan, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access

Herbal ingredient-target interaction prediction via multi-modal learning
Xudong Liang, Guoqi Lai, Jiang Yu, et al.
Information Sciences (2025), pp. 122115-122115
Closed Access

Adaptive-weighted federated graph convolutional networks with multi-sensor data fusion for drug response prediction
Yu Hui, Qingyong Wang, Xiaobo Zhou
Information Fusion (2025), pp. 103147-103147
Closed Access

Knowledge-guided large language model for material science
Guanjie Wang, Jingjing Hu, Jian Zhou, et al.
(2025), pp. 100007-100007
Open Access

Computational insights into exploring the potential effects of environmental contaminants on human health
Fuyan Cao, Xinyue Zhao, Xueqi Fu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Quantum-Informed Molecular Representation Learning Enhancing ADMET Property Prediction
Jungwoo Kim, Woojae Chang, Hyunjun Ji, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 13, pp. 5028-5040
Closed Access | Times Cited: 3

Conformational Space Profiling Enhances Generic Molecular Representation for AI‐Powered Ligand‐Based Drug Discovery
Lin Wang, Shihang Wang, Hao Yang, et al.
Advanced Science (2024) Vol. 11, Iss. 40
Open Access | Times Cited: 3

Closing the Execution Gap in Generative AI for Chemicals and Materials: Freeways or Safeguards
Akshay Subramanian, Wenhao Gao, Regina Barzilay, et al.
(2024)
Open Access | Times Cited: 2

Triple Generative Self-Supervised Learning Method for Molecular Property Prediction
Lei Xu, Leiming Xia, Shourun Pan, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 7, pp. 3794-3794
Open Access | Times Cited: 2

Uncovering and tackling fundamental limitations of compound potency predictions using machine learning models
Tiago Janela, Jürgen Bajorath
Cell Reports Physical Science (2024) Vol. 5, Iss. 6, pp. 101988-101988
Open 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

Integrating Transformers and Many-Objective Optimization for Cancer Drug Design
Nicholas Aksamit, Jinqiang Hou, Yifeng Li, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1

PredCoffee: a binary classification approach specifically for coffee odor
Yi He, Ruirui Huang, Ruoyu Zhang, et al.
iScience (2024) Vol. 27, Iss. 6, pp. 110041-110041
Open Access | Times Cited: 1

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