Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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: 28

Showing 1-25 of 28 citing articles:

Artificial Intelligence Models and Tools for the Assessment of Drug–Herb Interactions
Marios Spanakis, Eleftheria Tzamali, Georgios Tzedakis, et al.
Pharmaceuticals (2025) Vol. 18, Iss. 3, pp. 282-282
Open Access | Times Cited: 2
Application of Artificial Intelligence in Drug–Drug Interactions Prediction: A Review
Yuanyuan Zhang, Zengqian Deng, Xiaoyu Xu, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2158-2173
Closed Access | Times Cited: 34
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
GEnDDn: An lncRNA–Disease Association Identification Framework Based on Dual-Net Neural Architecture and Deep Neural Network
Lihong Peng, Mengnan Ren, Liangliang Huang, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 2, pp. 418-438
Closed Access | Times Cited: 7
Application of machine learning in drug side effect prediction: databases, methods, and challenges
Haochen Zhao, Jian Zhong, Xiao Liang, et al.
Frontiers of Computer Science (2024) Vol. 19, Iss. 5
Open Access | Times Cited: 7
BiRNN-DDI: A Drug-Drug Interaction Event Type Prediction Model Based on Bidirectional Recurrent Neural Network and Graph2Seq Representation
Guishen Wang, Hui Feng, Chen Cao
Journal of Computational Biology (2024)
Closed Access | Times Cited: 6
A Domain Adaptive Interpretable Substructure-Aware Graph Attention Network for Drug–Drug Interaction Prediction
Qi Zhang, Yuxiao Wei, Liwei Liu
Interdisciplinary Sciences Computational Life Sciences (2025)
Closed Access
MSMDL-DDI: Multi-Layer Soft Mask Dual-View Learning for Drug-Drug Interactions
Ping Lu, Liwei Zheng, Junpeng Lin, et al.
Computational Biology and Chemistry (2025) Vol. 115, pp. 108355-108355
Closed Access
SPLIF-Enhanced Attention-Driven 3D CNNs for Precise and Reliable Protein–Ligand Interaction Modeling for METTL3
Muhammad Junaid, Muhammad Zeeshan, Abbas Khan, et al.
ACS Omega (2025)
Open Access
Asymmetric drug interaction prediction via multi-scale fusion of directed topological relationships and drug features
Kai-Biao Lin, Fengxin Huang, Songming Zhuo, et al.
Computational Biology and Chemistry (2025), pp. 108491-108491
Closed Access
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: 3
A Computational Framework for Predicting Novel Drug Indications Using Graph Convolutional Network With Contrastive Learning
Yuxun Luo, Wenyu Shan, Peng Li, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 8, pp. 4503-4511
Closed Access | Times Cited: 3
MASMDDI: multi-layer adaptive soft-mask graph neural network for drug-drug interaction prediction
Junpeng Lin, Binsheng Hong, Zhongqi Cai, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 3
MSFF-MA-DDI: Multi-Source Feature Fusion with Multiple Attention blocks for predicting Drug–Drug Interaction events
Qi Jin, Jiang Xie, Dingkai Huang, et al.
Computational Biology and Chemistry (2023) Vol. 108, pp. 108001-108001
Closed Access | Times Cited: 7
Sequential Contrastive and Deep Learning Models to Identify Selective Butyrylcholinesterase Inhibitors
Mustafa Kemal Ozalp, Patricia A. Vignaux, Ana C. Puhl, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 8, pp. 3161-3172
Closed Access | Times Cited: 2
DDI‐Transform: A neural network for predicting drug‐drug interaction events
Jiaming Su, Ying Qian
Quantitative Biology (2024) Vol. 12, Iss. 2, pp. 155-163
Open Access | Times Cited: 2
MPHGCL-DDI: Meta-Path-Based Heterogeneous Graph Contrastive Learning for Drug-Drug Interaction Prediction
Baofang Hu, Zhenmei Yu, Mingke Li
Molecules (2024) Vol. 29, Iss. 11, pp. 2483-2483
Open Access | Times Cited: 2
MathEagle: Accurate prediction of drug-drug interaction events via multi-head attention and heterogeneous attribute graph learning
Lin-Xuan Hou, Hai-Cheng Yi, Zhu‐Hong You, et al.
Computers in Biology and Medicine (2024) Vol. 177, pp. 108642-108642
Closed Access | Times Cited: 2
An Optimized Deep Neural Network Framework for Classification of Drug–Drug Interactions
Maryam Abdollahi Shamami, Mohsen Asghari Ilani, Babak Teimourpour
(2024)
Open Access | Times Cited: 2
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: 5
Prediction of multiple types of drug interactions based on multi-scale fusion and dual-view fusion
Dawei Pan, Ping Lu, Yunbing Wu, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open 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
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
LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions
Muhammad Tahir, Shehroz S. Khan, James Davie, et al.
Applied Intelligence (2024) Vol. 55, Iss. 1
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top