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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:

Enhanced Graph Isomorphism Network for Molecular ADMET Properties Prediction
Yuzhong Peng, Yanmei Lin, Xiao‐Yuan Jing, et al.
IEEE Access (2020) Vol. 8, pp. 168344-168360
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Graph neural networks for materials science and chemistry
Patrick Reiser, Marlen Neubert, André Eberhard, et al.
Communications Materials (2022) Vol. 3, Iss. 1
Open Access | Times Cited: 326
Artificial Intelligence in Drug Toxicity Prediction: Recent Advances, Challenges, and Future Perspectives
Thi Tuyet Van Tran, Agung Surya Wibowo, Hilal Tayara, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 9, pp. 2628-2643
Closed Access | Times Cited: 100
Graph neural networks
Gabriele Corso, H. Stärk, Stefanie Jegelka, et al.
Nature Reviews Methods Primers (2024) Vol. 4, Iss. 1
Closed Access | Times Cited: 38
Recent Studies of Artificial Intelligence on In Silico Drug Distribution Prediction
Thi Tuyet Van Tran, Hilal Tayara, Kil To Chong
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 3, pp. 1815-1815
Open Access | Times Cited: 22
Advancing Drug Safety in Drug Development: Bridging Computational Predictions for Enhanced Toxicity Prediction
Ana M. B. Amorim, Luiz F. Piochi, Ana Teresa Gaspar, et al.
Chemical Research in Toxicology (2024) Vol. 37, Iss. 6, pp. 827-849
Open Access | Times Cited: 14
Property-guided generation of complex polymer topologies using variational autoencoders
Shengli Jiang, Adji Bousso Dieng, Michael Webb
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 11
Integrating GIN-based multimodal feature transformation and multi-feature combination voting for irony-aware cyberbullying detection
Tingting Li, Ziming Zeng, Qingqing Li, et al.
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103651-103651
Closed Access | Times Cited: 8
Activated sludge models at the crossroad of artificial intelligence—A perspective on advancing process modeling
Gürkan Sin, Resul Al
npj Clean Water (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 33
A new approach for APT malware detection based on deep graph network for endpoint systems
Cho Do Xuan, DT Huong
Applied Intelligence (2022) Vol. 52, Iss. 12, pp. 14005-14024
Closed Access | Times Cited: 24
Improved GNNs for Log D7.4 Prediction by Transferring Knowledge from Low-Fidelity Data
Yanjing Duan, Li Fu, Xiaochen Zhang, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 8, pp. 2345-2359
Closed Access | Times Cited: 13
GraphADT: empowering interpretable predictions of acute dermal toxicity with multi-view graph pooling and structure remapping
Xinqian Ma, Xiangzheng Fu, Tao Wang, et al.
Bioinformatics (2024) Vol. 40, Iss. 7
Open Access | Times Cited: 5
Quantifying the non-isomorphism of global urban road networks using GNNs and graph kernels
Linfang Tian, Weixiong Rao, Kai Zhao, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Drug–Target Affinity Prediction Based on Cross-Modal Fusion of Text and Graph
Jucheng Yang, Fenghui Ren
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 2901-2901
Open Access
Predicting ADMET Properties from Molecule SMILE: A Bottom-Up Approach Using Attention-Based Graph Neural Networks
Alessandro De Carlo, Davide Ronchi, Marco Piastra, et al.
Pharmaceutics (2024) Vol. 16, Iss. 6, pp. 776-776
Open Access | Times Cited: 4
Decoupled peak property learning for efficient and interpretable electronic circular dichroism spectrum prediction
Hao Li, Da Long, Yuan Li, et al.
Nature Computational Science (2025)
Closed Access
Modeling and insights into the structural basis of chemical acute aquatic toxicity
Ruiqiu Zhang, Huizhu Guo, Yuqing Hua, et al.
Ecotoxicology and Environmental Safety (2022) Vol. 242, pp. 113940-113940
Open Access | Times Cited: 18
A pre-seismic anomaly detection approach based on graph attention isomorphism network
Yongming Huang, Wen Shi, Kun’ao Zhu, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125113-125113
Closed Access | Times Cited: 9
ADMET property prediction via multi-task graph learning under adaptive auxiliary task selection
Bing-Xue Du, Yi Xu, Siu‐Ming Yiu, et al.
iScience (2023) Vol. 26, Iss. 11, pp. 108285-108285
Open Access | Times Cited: 8
PlayMolecule Glimpse: Understanding Protein–Ligand Property Predictions with Interpretable Neural Networks
Alejandro Varela‐Rial, Iain Maryanow, Maciej Majewski, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 2, pp. 225-231
Open Access | Times Cited: 13
Modeling and insights into the structural characteristics of endocrine-disrupting chemicals
Ruiqiu Zhang, Bailun Wang, Ling Li, et al.
Ecotoxicology and Environmental Safety (2023) Vol. 263, pp. 115251-115251
Open Access | Times Cited: 7
Molecular set representation learning
Maria Boulougouri, Pierre Vandergheynst, Daniel Probst
Nature Machine Intelligence (2024) Vol. 6, Iss. 7, pp. 754-763
Open Access | Times Cited: 2
Hybrid fragment-SMILES tokenization for ADMET prediction in drug discovery
Nicholas Aksamit, Alain Tchagang, Yifeng Li, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Can Machine Learning Overcome the 95% Failure Rate and Reality that Only 30% of Approved Cancer Drugs Meaningfully Extend Patient Survival?
Duxin Sun, Christian Macedonia, Zhigang Chen, et al.
Journal of Medicinal Chemistry (2024)
Closed Access | Times Cited: 2
GATBoost: Mining graph attention networks-based important substructures of polymers for a better property prediction
Dazi Li, Yi Ru, Jun Liu
Materials Today Communications (2023) Vol. 38, pp. 107577-107577
Closed Access | Times Cited: 6
Graph isomorphism network for materials property prediction along with explainability analysis
Jianping Xiao, Yang Li, Shuqun Wang
Computational Materials Science (2023) Vol. 233, pp. 112619-112619
Closed Access | Times Cited: 6
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