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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:

Molormer: a lightweight self-attention-based method focused on spatial structure of molecular graph for drug–drug interactions prediction
Xudong Zhang, Gan Wang, Xiangyu Meng, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Comprehensive evaluation of deep and graph learning on drug–drug interactions prediction
Xuan Lin, Lihua Dai, Yafang Zhou, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 43
A mixed reality-based navigation method for dental implant navigation method: A pilot study
Lin Liu, Xiaoyu Wang, Miaosheng Guan, et al.
Computers in Biology and Medicine (2023) Vol. 154, pp. 106568-106568
Closed Access | Times Cited: 22
Deep learning for drug‐drug interaction prediction: A comprehensive review
Xinyue Li, Zhankun Xiong, Wen Zhang, et al.
Quantitative Biology (2024) Vol. 12, Iss. 1, pp. 30-52
Open Access | Times Cited: 7
SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug–drug interaction prediction
ZHU Jing, Chao Che, Hao Jiang, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer
Xiaorui Su, Pengwei Hu, Zhu‐Hong You, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 1, pp. 249-256
Open Access | Times Cited: 6
PHGL-DDI: A pre-training based hierarchical graph learning framework for drug-drug interaction prediction
Yongna Yuan, Jiaqi Yue, Ruisheng Zhang, et al.
Expert Systems with Applications (2025), pp. 126408-126408
Closed Access
MDDI-SCL: predicting multi-type drug-drug interactions via supervised contrastive learning
Shenggeng Lin, Weizhi Chen, Gengwang Chen, et al.
Journal of Cheminformatics (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 26
PETrans: De Novo Drug Design with Protein-Specific Encoding Based on Transfer Learning
Xun Wang, Changnan Gao, Peifu Han, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 2, pp. 1146-1146
Open Access | Times Cited: 18
DNMG: Deep molecular generative model by fusion of 3D information for de novo drug design
Tao Song, Yongqi Ren, Shuang Wang, et al.
Methods (2023) Vol. 211, pp. 10-22
Open Access | Times Cited: 14
A review of transformers in drug discovery and beyond
Jian Jiang, Long Chen, Ke Lü, et al.
Journal of Pharmaceutical Analysis (2024), pp. 101081-101081
Open Access | Times Cited: 3
DrugDAGT: a dual-attention graph transformer with contrastive learning improves drug-drug interaction prediction
Yaojia Chen, Jiacheng Wang, Quan Zou, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 3
TransFusionNet: Semantic and Spatial Features Fusion Framework for Liver Tumor and Vessel Segmentation Under JetsonTX2
Xun Wang, Xudong Zhang, Wang Gan, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 3, pp. 1173-1184
Closed Access | Times Cited: 16
Identifying the serious clinical outcomes of adverse reactions to drugs by a multi-task deep learning framework
Haochen Zhao, Peng Ni, Qichang Zhao, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 8
HetDDI: a pre-trained heterogeneous graph neural network model for drug–drug interaction prediction
Zhe Li, Xinyi Tu, Yuping Chen, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Open Access | Times Cited: 8
Learning motif-based graphs for drug–drug interaction prediction via local–global self-attention
Yi Zhong, Gaozheng Li, Yang Ji, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 9, pp. 1094-1105
Closed Access | Times Cited: 2
Predicting drug-drug adverse reactions via multi-view graph contrastive representation model
Luhe Zhuang, Hong Wang, Meifang Hua, et al.
Applied Intelligence (2023) Vol. 53, Iss. 14, pp. 17411-17428
Closed Access | Times Cited: 7
SGAEMDA: Predicting miRNA-Disease Associations Based on Stacked Graph Autoencoder
Shudong Wang, Boyang Lin, Yuanyuan Zhang, et al.
Cells (2022) Vol. 11, Iss. 24, pp. 3984-3984
Open Access | Times Cited: 10
MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction
Di Wu, Wu Sun, Yi He, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 9, pp. 10216-10224
Open Access | Times Cited: 1
A substructure‐aware graph neural network incorporating relation features for drug–drug interaction prediction
Liangcheng Dong, Baoming Feng, Zengqian Deng, et al.
Quantitative Biology (2024) Vol. 12, Iss. 3, pp. 255-270
Open Access | Times Cited: 1
Transformer technology in molecular science
Jiang Jian, Ke Lü, Long Chen, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 1
MATT-DDI: Predicting multi-type drug-drug interactions via heterogeneous attention mechanisms
Shenggeng Lin, Xueying Mao, Liang Hong, et al.
Methods (2023) Vol. 220, pp. 1-10
Closed Access | Times Cited: 3
HilbertSCNet: Self-attention networks for small target segmentation of aerial drone images
Qiumei Zheng, L.F. Xu, Fenghua Wang, et al.
Applied Soft Computing (2023) Vol. 150, pp. 111035-111035
Closed Access | Times Cited: 3
Predicting Cell Line-Specific Synergistic Drug Combinations Through Siamese Network with Attention Mechanism
Xin Bao, XiangYong Chen, Jianlong Qiu, et al.
Communications in computer and information science (2024), pp. 87-95
Closed Access
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
Drug–drug interaction prediction based on local substructure features and their complements
Qing Zhou, Yang Zhang, Siyuan Wang, et al.
Journal of Molecular Graphics and Modelling (2023) Vol. 124, pp. 108557-108557
Closed Access | Times Cited: 1
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