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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:

End-to-end interpretable disease–gene association prediction
Yang Li, Zihou Guo, Keqi Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 19

Showing 19 citing articles:

Transitioning from wet lab to artificial intelligence: a systematic review of AI predictors in CRISPR
Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Andreas Dengel
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access | Times Cited: 1
Drug discovery and development in the era of artificial intelligence: From machine learning to large language models
Shenghui Guan, Guanyu Wang
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 1, pp. 100070-100070
Open Access | Times Cited: 8
RNA Sequence Analysis Landscape: A Comprehensive Review of Task Types, Databases, Datasets, Word Embedding Methods, and Language Models
Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Tayyaba Asif, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e41488-e41488
Open Access
Peptide classification landscape: An in-depth systematic literature review on peptide types, databases, datasets, predictors architectures and performance
Muhammad Nabeel Asim, Tayyaba Asif, Faiza Mehmood, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109821-109821
Closed Access
MethPriorGCN: a deep learning tool for inferring DNA methylation prior knowledge and guiding personalized medicine
Jie Ni, Bin Li, Shumei Miao, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
DNA sequence analysis landscape: a comprehensive review of DNA sequence analysis task types, databases, datasets, word embedding methods, and language models
Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Alam Zaib, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
PCDA-HNMP: Predicting circRNA-disease association using heterogeneous network and meta-path
Lei Chen, Xiaoyu Zhao
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 12, pp. 20553-20575
Open Access | Times Cited: 9
Drug repurposing based on the DTD-GNN graph neural network: revealing the relationships among drugs, targets and diseases
Wenjun Li, Wanjun Ma, Mengyun Yang, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
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
Heterogeneous biomedical entity representation learning for gene–disease association prediction
Zhaohan Meng, Siwei Liu, Shangsong Liang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 1
TriFusion enables accurate prediction of miRNA-disease association by a tri-channel fusion neural network
Long Sheng, Xiaoran Tang, Xinyi Si, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
DAEMDA: A Method with Dual-Channel Attention Encoding for miRNA–Disease Association Prediction
Benzhi Dong, Weidong Sun, Dali Xu, et al.
Biomolecules (2023) Vol. 13, Iss. 10, pp. 1514-1514
Open Access | Times Cited: 3
DEJKMDR: miRNA-disease association prediction method based on graph convolutional network
Shiyuan Gao, Zhufang Kuang, Tao Duan, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 2
Drug repurposing Based on the DTD-GNN Graph Neural Network: Revealing the Relationships among Drugs, Targets and Diseases
Wenjun Li, Wanjun Ma, Mengyun Yang, et al.
Research Square (Research Square) (2024)
Open Access
PSA: an effective method for predicting horizontal gene transfers through parsimonious phylogenetic networks
Yuan Zhang, Juan Wang, Jing Yu
Cladistics (2024) Vol. 40, Iss. 4, pp. 443-455
Closed Access
Graph Representation Learning Based on Specific Subgraphs for Biomedical Interaction Prediction
Huaxin Pang, Shikui Wei, Zhuoran Du, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 5, pp. 1552-1564
Closed Access
DGNMDA: Dual Heterogeneous Graph Neural Network Encoder for miRNA-Disease Association Prediction
Daying Lu, Qi Zhang, Chun-Hou Zheng, et al.
Bioengineering (2024) Vol. 11, Iss. 11, pp. 1132-1132
Open Access
Therapeutic gene target prediction using novel deep hypergraph representation learning
Ki-Beom Kim, Juseong Kim, Min-Wook Kim, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access
Prediction of Oncology Drug Targets Based on Ensemble Learning and Sample Weight Updating
Yuan Zhang, Hongwei Gao, Juan Wang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 2, pp. 3602-3609
Closed Access
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