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:

CCL-DTI: contributing the contrastive loss in drug–target interaction prediction
Alireza Dehghan, Karim Abbasi, Parvin Razzaghi, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Few-shot satellite image classification for bringing deep learning on board OPS-SAT
Ramez Shendy, Jakub Nalepa
Expert Systems with Applications (2024) Vol. 251, pp. 123984-123984
Open Access | Times Cited: 7

Discriminative sparse subspace learning with manifold regularization
Wenyi Feng, Zhe Wang, Xiqing Cao, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123831-123831
Closed Access | Times Cited: 6

MGCNSS: miRNA–disease association prediction with multi-layer graph convolution and distance-based negative sample selection strategy
Zhen Tian, Chenguang Han, Lewen Xu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 5

SGCLDGA: unveiling drug–gene associations through simple graph contrastive learning
Yanhao Fan, Che Zhang, Xiaowen Hu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 5

TarIKGC: A Target Identification Tool Using Semantics-Enhanced Knowledge Graph Completion with Application to CDK2 Inhibitor Discovery
Shen Xiao-juan, Shijia Yan, Tao Zeng, et al.
Journal of Medicinal Chemistry (2025)
Closed Access

MMSG-DTA: A Multimodal, Multiscale Model Based on Sequence and Graph Modalities for Drug-Target Affinity Prediction
Jiahao Xu, Lei Ci, Bo Zhu, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access

GS-DTA: integrating graph and sequence models for predicting drug-target binding affinity
Junwei Luo, Zheng Zhu, Zhiyu Xu, et al.
BMC Genomics (2025) Vol. 26, Iss. 1
Open Access

NTMFF-DTA: Prediction of Drug-Target Affinity Based on Network Topology and Multi-feature Fusion
Yuandong Liu, Youzhi Liu, Haoqin Yang, et al.
Interdisciplinary Sciences Computational Life Sciences (2025)
Closed Access

Feature fusion with attributed deepwalk for protein–protein interaction prediction
Mei‐Yuan Cao, Suhaila Zainudin, Kauthar Mohd Daud
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

IoT data sharing technology based on blockchain and federated learning algorithms
Zhiqiang Feng
Intelligent Systems with Applications (2024) Vol. 22, pp. 200359-200359
Open Access | Times Cited: 3

Knowledge mapping of graph neural networks for drug discovery: a bibliometric and visualized analysis
Rufan Yao, Zhenhua Shen, Xinyi Xu, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 3

Drug–target interaction prediction based on improved heterogeneous graph representation learning and feature projection classification
Donghua Yu, Huawen Liu, Shuang Yao
Expert Systems with Applications (2024) Vol. 252, pp. 124289-124289
Closed Access | Times Cited: 3

scCRT: a contrastive-based dimensionality reduction model for scRNA-seq trajectory inference
Yuchen Shi, Jian Wan, Xin Zhang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 2

AI identifies potent inducers of breast cancer stem cell differentiation based on adversarial learning from gene expression data
Zhongxiao Li, Antonella Napolitano, Monica Fedele, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 2

A deep learning based encoder-decoder model for speed planning of autonomous electric truck platoons
S. Karthik, G. Rohith, K. B. Devika, et al.
Heliyon (2024) Vol. 10, Iss. 11, pp. e31836-e31836
Open Access | Times Cited: 2

DeepGRNCS: deep learning-based framework for jointly inferring gene regulatory networks across cell subpopulations
Yahui Lei, Xiaotai Huang, Xingli Guo, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 2

GAPS: a geometric attention-based network for peptide binding site identification by the transfer learning approach
Cheng Zhu, Chengyun Zhang, Tianfeng Shang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 1

Prediction method of pharmacokinetic parameters of small molecule drugs based on GCN network model
Zhihua Yang, Ying Wang, Getao Du, et al.
Journal of Molecular Modeling (2024) Vol. 30, Iss. 8
Closed Access | Times Cited: 1

HNCGAT: a method for predicting plant metabolite–protein interaction using heterogeneous neighbor contrastive graph attention network
Xi Zhou, Jing Yang, Yin Luo, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 1

Microbe-drug association prediction model based on graph convolution and attention networks
Bo Wang, Tongxuan Wang, Xiaoxin Du, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Versatile Framework for Drug–Target Interaction Prediction by Considering Domain-Specific Features
Shuo Liu, Jialiang Yu, Ningxi Ni, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 14, pp. 5646-5656
Open Access

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