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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: 40

Showing 1-25 of 40 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: 26
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 | Times Cited: 3
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
A Multi‐Task Self‐Supervised Strategy for Predicting Molecular Properties and FGFR1 Inhibitors
Xin Yang, Yang Wang, Lin Ye, et al.
Advanced Science (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
Geological-knowledge-guided graph self-supervised pretraining framework for identifying mineralization-related geochemical anomalies
Zhiyi Chen, Renguang Zuo
Computers & Geosciences (2025), pp. 105913-105913
Closed Access | Times Cited: 1
High-confidence structural annotation of substances via multi-layer molecular network reveals the system-wide constituent alternations in milk interfered with diphenylolpropane
Zibian Fan, Wei Jia
Journal of Hazardous Materials (2024) Vol. 471, pp. 134334-134334
Closed Access | Times Cited: 6
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: 4
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
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
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
Artificial intelligence in traditional Chinese medicine: advances in multi-metabolite multi-target interaction modeling
Li Yu, Xiangjun Liu, Jingwen Zhou, et al.
Frontiers in Pharmacology (2025) Vol. 16
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
Exploring Hidden Dangers: Predicting Mycotoxin-like Toxicity and Mapping Toxicological Networks in Hepatocellular Carcinoma
Jian Xiu, Hengzheng Yang, Xiaoli Shen, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
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: 3
Integrating transformers and many-objective optimization for drug design
Nicholas Aksamit, Jinqiang Hou, Yifeng Li, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 3
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
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
Prediction of blood–brain barrier and Caco-2 permeability through the Enalos Cloud Platform: combining contrastive learning and atom-attention message passing neural networks
Nikoletta-Maria Koutroumpa, Andreas Tsoumanis, Haralambos Sarimveis, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Consensus Modeling Strategies for Predicting Transthyretin Binding Affinity from Tox24 Challenge Data
Thalita Cirino, L. Masfarre Pinto, Mateusz Iwan, et al.
Chemical Research in Toxicology (2025)
Open Access
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