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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:

Prediction of drug-target interactions based on multi-layer network representation learning
Yifan Shang, Lin Gao, Quan Zou, et al.
Neurocomputing (2020) Vol. 434, pp. 80-89
Closed Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Distance-based Support Vector Machine to Predict DNA N6- methyladenine Modification
Haoyu Zhang, Quan Zou, Ying Ju, et al.
Current Bioinformatics (2022) Vol. 17, Iss. 5, pp. 473-482
Closed Access | Times Cited: 293
A Statistical Analysis of the Sequence and Structure of Thermophilic and Non-Thermophilic Proteins
Zahoor Ahmed, Hasan Zulfiqar, Lixia Tang, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 17, pp. 10116-10116
Open Access | Times Cited: 40
Metapath-aggregated heterogeneous graph neural network for drug–target interaction prediction
Li Mei, Xiangrui Cai, Sihan Xu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 30
Drug-Target Interactions Prediction Based on Signed Heterogeneous Graph Neural Networks
Ming Chen, Yajian Jiang, Xiujuan Lei, et al.
Chinese Journal of Electronics (2024) Vol. 33, Iss. 1, pp. 231-244
Open Access | Times Cited: 9
Deep-4mCW2V: A sequence-based predictor to identify N4-methylcytosine sites in Escherichia coli
Hasan Zulfiqar, Zi‐Jie Sun, Qin-Lai Huang, et al.
Methods (2021) Vol. 203, pp. 558-563
Closed Access | Times Cited: 53
Identification of cyclin protein using gradient boost decision tree algorithm
Hasan Zulfiqar, Shi-Shi Yuan, Qin-Lai Huang, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 4123-4131
Open Access | Times Cited: 50
NmRF: identification of multispecies RNA 2’-O-methylation modification sites from RNA sequences
Chunyan Ao, Quan Zou, Liang Yu
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 45
RGCNCDA: Relational graph convolutional network improves circRNA-disease association prediction by incorporating microRNAs
Yaojia Chen, Yanpeng Wang, Yijie Ding, et al.
Computers in Biology and Medicine (2022) Vol. 143, pp. 105322-105322
Closed Access | Times Cited: 32
SSLDTI: A novel method for drug-target interaction prediction based on self-supervised learning
Zhixian Liu, Qingfeng Chen, Wei Lan, et al.
Artificial Intelligence in Medicine (2024) Vol. 149, pp. 102778-102778
Closed Access | Times Cited: 7
iTTCA-RF: a random forest predictor for tumor T cell antigens
Shihu Jiao, Quan Zou, Huannan Guo, et al.
Journal of Translational Medicine (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 39
Identify DNA-Binding Proteins Through the Extreme Gradient Boosting Algorithm
Ziye Zhao, Wen Yang, Yixiao Zhai, et al.
Frontiers in Genetics (2022) Vol. 12
Open Access | Times Cited: 25
Relation-aware graph structure embedding with co-contrastive learning for drug–drug interaction prediction
Mengying Jiang, Guizhong Liu, Biao Zhao, et al.
Neurocomputing (2024) Vol. 572, pp. 127203-127203
Open Access | Times Cited: 5
ISLRWR: A network diffusion algorithm for drug–target interactions prediction
Lu Sun, Zhixiang Yin, Lin Lu
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0302281-e0302281
Open Access
AutoDDI: Drug–Drug Interaction Prediction With Automated Graph Neural Network
Jianliang Gao, Zhenpeng Wu, Raeed Al-Sabri, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 3, pp. 1773-1784
Closed Access | Times Cited: 4
An optimized automated drug-target interaction identification model based on a dual approach of 1D convolutional neural networks and self-attention-enhanced LSTMs
Tintu Vijayan, Pamela Vinitha Eric
International Journal of Information Technology (2025)
Closed Access
Molecular substructure tree generative model for de novo drug design
Shuang Wang, Tao Song, Shugang Zhang, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Closed Access | Times Cited: 21
Learning Behavior Evaluation Model and Teaching Strategy Innovation by Social Media Network Following Learning Psychology
Lijuan Yuan, Hongming Li, Shiman Fu, et al.
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 14
DrugHybrid_BS: Using Hybrid Feature Combined With Bagging-SVM to Predict Potentially Druggable Proteins
Yuxin Gong, Bo Liao, Peng Wang, et al.
Frontiers in Pharmacology (2021) Vol. 12
Open Access | Times Cited: 19
BDselect: A Package for k-mer Selection Based on the Binomial Distribution
Fanny Dao, Hao Lv, Zhao‐Yue Zhang, et al.
Current Bioinformatics (2021) Vol. 17, Iss. 3, pp. 238-244
Closed Access | Times Cited: 18
Heterogeneous Graph Attention Network for Drug-Target Interaction Prediction
Mei Li, Xiangrui Cai, Linyu Li, et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022), pp. 1166-1176
Closed Access | Times Cited: 13
A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks
Shuting Jin, Hong Yue, Zeng Li, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 11, pp. e1011597-e1011597
Open Access | Times Cited: 7
Computational prediction of new therapeutic effects of probiotics
Sadegh Sulaimany, Kajal Farahmandi, Aso Mafakheri
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
GSRF-DTI: a framework for drug-target interaction prediction based on a drug-target pair network and representation learning on a large graph
Yongdi Zhu, Chunhui Ning, Naiqian Zhang, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 2
iAIPs: Identifying Anti-Inflammatory Peptides Using Random Forest
Dongxu Zhao, Zhixia Teng, Yanjuan Li, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 17
Prediction of the Drug–Drug Interaction Types with the Unified Embedding Features from Drug Similarity Networks
Xiaoying Yan, Pengwei Yin, Xiaomeng Wu, et al.
Frontiers in Pharmacology (2021) Vol. 12
Open Access | Times Cited: 15
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