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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:

HINGRL: predicting drug–disease associations with graph representation learning on heterogeneous information networks
Bo-Wei Zhao, Lun Hu, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 122

Showing 1-25 of 122 citing articles:

Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions
Xiaorui Su, Lun Hu, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 76
Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning
Bo-Wei Zhao, Lei Wang, Pengwei Hu, et al.
IEEE Transactions on Emerging Topics in Computing (2023) Vol. 12, Iss. 1, pp. 163-176
Closed Access | Times Cited: 63
A comprehensive review of machine learning algorithms and their application in geriatric medicine: present and future
Richard Woodman, Arduino A. Mangoni
Aging Clinical and Experimental Research (2023) Vol. 35, Iss. 11, pp. 2363-2397
Open Access | Times Cited: 54
A Survey of Large Language Models for Healthcare: From Data, Technology, and Applications to Accountability and Ethics
Kai He, Rui Mao, Qika Lin, et al.
(2024)
Open Access | Times Cited: 45
Predicting miRNA–disease associations via learning multimodal networks and fusing mixed neighborhood information
Zhengzheng Lou, Zhaoxu Cheng, Hui Li, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 61
A geometric deep learning framework for drug repositioning over heterogeneous information networks
Bo-Wei Zhao, Xiaorui Su, Pengwei Hu, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Open Access | Times Cited: 56
Predicting potential interactions between lncRNAs and proteins via combined graph auto-encoder methods
Jingxuan Zhao, Jianqiang Sun, Stella C. Shuai, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 44
REDDA: Integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction
Yaowen Gu, Si Zheng, Qijin Yin, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106127-106127
Closed Access | Times Cited: 42
Drug repositioning based on weighted local information augmented graph neural network
Yajie Meng, Yi Wang, Junlin Xu, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 35
MHTAN-DTI: Metapath-based hierarchical transformer and attention network for drug–target interaction prediction
Ran Zhang, Zhanjie Wang, Xuezhi Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 31
Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder
Xin Luo, Liwei Wang, Pengwei Hu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 5, pp. 3182-3194
Closed Access | Times Cited: 28
Dual-channel hypergraph convolutional network for predicting herb–disease associations
Lun Hu, Menglong Zhang, Pengwei Hu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 14
Drug repositioning based on tripartite cross-network embedding and graph convolutional network
Pan Zeng, Bofei Zhang, Aohang Liu, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124152-124152
Closed Access | Times Cited: 9
A heterogeneous information network learning model with neighborhood-level structural representation for predicting lncRNA-miRNA interactions
Bo-Wei Zhao, Xiaorui Su, Yue Yang, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2924-2933
Open Access | Times Cited: 9
DTI-MHAPR: optimized drug-target interaction prediction via PCA-enhanced features and heterogeneous graph attention networks
Guang Yang, Yinbo Liu, SiJian Wen, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access | Times Cited: 1
Integrating transcriptomic data with a novel drug efficacy prediction model for TCM active compound discovery
Yingcan Li, Yu Shen, Yezi Cai, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
A heterogeneous network-based method with attentive meta-path extraction for predicting drug–target interactions
Hongzhun Wang, Feng Huang, Zhankun Xiong, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 37
Predicting Drug-Target Interactions Over Heterogeneous Information Network
Xiaorui Su, Pengwei Hu, Hai-Cheng Yi, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 1, pp. 562-572
Closed Access | Times Cited: 31
A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks
Xinfei Wang, Chang-Qing Yu, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 22
AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug–disease associations prediction
Junkai Liu, Shixuan Guan, Quan Zou, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111329-111329
Open Access | Times Cited: 22
Enhancing Drug Repositioning through Local Interactive Learning with Bilinear Attention Networks
Xianfang Tang, Chang Zhou, Changcheng Lu, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 29, Iss. 3, pp. 1644-1655
Closed Access | Times Cited: 18
GCNGAT: Drug–disease association prediction based on graph convolution neural network and graph attention network
Runtao Yang, Yao Fu, Qian Zhang, et al.
Artificial Intelligence in Medicine (2024) Vol. 150, pp. 102805-102805
Closed Access | Times Cited: 7
Prediction of drug-drug interaction events using graph neural networks based feature extraction
Mohammad Hussain Al-Rabeah, Amir Lakizadeh
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 27
PPISB: A Novel Network-Based Algorithm of Predicting Protein-Protein Interactions With Mixed Membership Stochastic Blockmodel
Xiaojuan Wang, Wen Yang, Yue Yang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 2, pp. 1606-1612
Closed Access | Times Cited: 26
Detecting Elderly Behaviors Based on Deep Learning for Healthcare: Recent Advances, Methods, Real-World Applications and Challenges
Mubarak Almutairi, Lubna Abdelkareim Gabralla, S. Abubakar, et al.
IEEE Access (2022) Vol. 10, pp. 69802-69821
Open Access | Times Cited: 24
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