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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:

DeepPSE: Prediction of polypharmacy side effects by fusing deep representation of drug pairs and attention mechanism
Shenggeng Lin, Guangwei Zhang, Dong‐Qing Wei, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 105984-105984
Closed Access | Times Cited: 13

Showing 13 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: 124
Development and Validation of an Explainable Machine Learning-Based Prediction Model for Drug–Food Interactions from Chemical Structures
Quang-Hien Kha, Viet-Huan Le, Truong Nguyen Khanh Hung, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 3962-3962
Open Access | Times Cited: 45
MCFF-MTDDI: multi-channel feature fusion for multi-typed drug–drug interaction prediction
Chendi Han, Chun-Chun Wang, Li Huang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 24
DPSP: a multimodal deep learning framework for polypharmacy side effects prediction
Raziyeh Masumshah, Changiz Eslahchi
Bioinformatics Advances (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 17
BDN-DDI: A bilinear dual-view representation learning framework for drug–drug interaction prediction
G. Ning, Yuping Sun, Jie Ling, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107340-107340
Closed Access | Times Cited: 11
Identifying potential drug-target interactions based on ensemble deep learning
Liqian Zhou, Yuzhuang Wang, Lihong Peng, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 7
Elucidating the role of artificial intelligence in drug development from the perspective of drug-target interactions
Boyang Wang, Tingyu Zhang, Qingyuan Liu, et al.
Journal of Pharmaceutical Analysis (2024) Vol. 15, Iss. 3, pp. 101144-101144
Open Access | Times Cited: 2
A Transferability-Based Method for Evaluating the Protein Representation Learning
Fan Hu, Weihong Zhang, Huazhen Huang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 5, pp. 3158-3166
Closed Access | Times Cited: 1
Graph reasoning method enhanced by relational transformers and knowledge distillation for drug-related side effect prediction
Honglei Bai, Siyuan Lu, Tiangang Zhang, et al.
iScience (2024) Vol. 27, Iss. 6, pp. 109571-109571
Open Access | Times Cited: 1
Polypharmacy side effect prediction based on semi-implicit graph variational auto-encoder
Yi Zhou, Minzhu Xie
Journal of Bioinformatics and Computational Biology (2024) Vol. 22, Iss. 04
Closed Access | Times Cited: 1
StructNet-DDI: Molecular Structure Characterization-Based ResNet for Prediction of Drug–Drug Interactions
Jihong Wang, Xiaodan Wang, Yanzhen Pang
Molecules (2024) Vol. 29, Iss. 20, pp. 4829-4829
Open Access | Times Cited: 1
Deep Canonical Correlation Fusion Algorithm Based on Denoising Autoencoder for ASD Diagnosis and Pathogenic Brain Region Identification
Huilian Zhang, Jie Chen, Bo Liao, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 2, pp. 455-468
Closed Access
PU‐GNN: A Positive‐Unlabeled Learning Method for Polypharmacy Side‐Effects Detection Based on Graph Neural Networks
Abedin Keshavarz, Amir Lakizadeh
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access
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