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:

Fusion-Based Deep Learning Architecture for Detecting Drug-Target Binding Affinity Using Target and Drug Sequence and Structure
Kaili Wang, Min Li
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 12, pp. 6112-6120
Closed Access | Times Cited: 13

Showing 13 citing articles:

GraphCL-DTA: A Graph Contrastive Learning With Molecular Semantics for Drug-Target Binding Affinity Prediction
Xinxing Yang, Genke Yang, Jian Chu
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 8, pp. 4544-4552
Open Access | Times Cited: 11
DTIAM: a unified framework for predicting drug-target interactions, binding affinities and drug mechanisms
Zhangli Lu, Guoqiang Song, Huimin Zhu, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Exploring the artificial intelligence and machine learning models in the context of drug design difficulties and future potential for the pharmaceutical sectors
Periyasamy Natarajan Shiammala, N. Duraimutharasan, Baskaralingam Vaseeharan, et al.
Methods (2023) Vol. 219, pp. 82-94
Closed Access | Times Cited: 21
A comprehensive review of the recent advances on predicting drug-target affinity based on deep learning
Xin Zeng, Shujuan Li, Shuang‐Qing Lv, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 5
Knowledge Graph Convolutional Network with Heuristic Search for Drug Repositioning
Xiang Du, Xinliang Sun, Min Li
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 12, pp. 4928-4937
Closed Access | Times Cited: 5
Improving drug–target affinity prediction by adaptive self-supervised learning
Qing Ye, Yaxin Sun
PeerJ Computer Science (2025) Vol. 11, pp. e2622-e2622
Open Access
Drug-Target Affinity Prediction Based on Topological Enhanced Graph Neural Networks
Hengliang Guo, Congxiang Zhang, Jiandong Shang, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Parallel Multiscale Bridge Fusion Network for Audio-Visual Automatic Depression Assessment
Min Hu, Lei Liu, Xiaohua Wang, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 6830-6842
Closed Access | Times Cited: 1
Incorporating Water Molecules into Highly Accurate Binding Affinity Prediction for Proteins and Ligands
Diya Zhang, Qiaozhen Meng, Fei Guo
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 23, pp. 12676-12676
Open Access | Times Cited: 1
Multimodal deep learning approaches for precision oncology: a comprehensive review
Huan Yang, Minglei Yang, Jiani Chen, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 1
A comprehensive review of protein-centric predictors for biomolecular interactions: from proteins to nucleic acids and beyond
Pengzhen Jia, Fuhao Zhang, Chaojin Wu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access
DeepTGIN: a novel hybrid multimodal approach using transformers and graph isomorphism networks for protein-ligand binding affinity prediction
Guishen Wang, H. Zhang, Mengting Shao, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access
DualFluidNet: An attention-based dual-pipeline network for fluid simulation
Yu Chen, Shuai Zheng, Menglong Jin, et al.
Neural Networks (2024) Vol. 177, pp. 106401-106401
Open Access
Page 1

Scroll to top