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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:

ncRNAInter: a novel strategy based on graph neural network to discover interactions between lncRNA and miRNA
Hanyu Zhang, Yunxia Wang, Ziqi Pan, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Investigating cardiotoxicity related with hERG channel blockers using molecular fingerprints and graph attention mechanism
Tianyi Wang, Jianqiang Sun, Qi Zhao
Computers in Biology and Medicine (2022) Vol. 153, pp. 106464-106464
Closed Access | Times Cited: 161
Artificial Intelligence in Pharmaceutical Sciences
Mingkun Lu, Jiayi Yin, Qi Zhu, et al.
Engineering (2023) Vol. 27, pp. 37-69
Open Access | Times Cited: 64
A Transformer-Based Ensemble Framework for the Prediction of Protein–Protein Interaction Sites
Minjie Mou, Ziqi Pan, Zhimeng Zhou, et al.
Research (2023) Vol. 6
Open Access | Times Cited: 54
Computational drug repurposing by exploiting large-scale gene expression data: Strategy, methods and applications
Hao He, Hongrui Duo, Youjin Hao, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106671-106671
Closed Access | Times Cited: 23
Neighborhood convolutional graph neural network
Jinsong Chen, Boyu Li, Kun He
Knowledge-Based Systems (2024) Vol. 295, pp. 111861-111861
Closed Access | Times Cited: 6
Rm-LR: A long-range-based deep learning model for predicting multiple types of RNA modifications
Sirui Liang, Yanxi Zhao, Junru Jin, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107238-107238
Closed Access | Times Cited: 13
Large Language Model-Based Natural Language Encoding Could Be All You Need for Drug Biomedical Association Prediction
Hanyu Zhang, Yuan Zhou, Zhichao Zhang, et al.
Analytical Chemistry (2024)
Closed Access | Times Cited: 5
EasyCircR: Detection and reconstruction of circular RNAs post-transcriptional regulatory interaction networks
Antonino Aparo, Simone Avesani, Luca Parmigiani, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109846-109846
Open Access
Large language model applications in nucleic acid research
Lei Li, Zhao Cheng
(2025) Vol. 2, Iss. 1
Closed Access
Deep Learning Approaches for lncRNA-Mediated Mechanisms: A Comprehensive Review of Recent Developments
Yoojoong Kim, Minhyeok Lee
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 12, pp. 10299-10299
Open Access | Times Cited: 12
SUnet: A multi-organ segmentation network based on multiple attention
Xiaosen Li, Xiao Qin, Chengliang Huang, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107596-107596
Closed Access | Times Cited: 9
MOINER: A Novel Multiomics Early Integration Framework for Biomedical Classification and Biomarker Discovery
Wei Zhang, Minjie Mou, Wei Hu, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 7, pp. 2720-2732
Closed Access | Times Cited: 3
Advances in applications of artificial intelligence algorithms for cancer-related miRNA research
Hongyu Lu, Jia Zhang, Yixin Cao, et al.
Journal of Zhejiang University (Medical Sciences) (2024) Vol. 53, Iss. 2, pp. 231-243
Open Access | Times Cited: 3
Comprehensive analysis of lncRNA-mRNA co-expression networks in HPV-driven cervical cancer reveals the pivotal function of LINC00511-PGK1 in tumorigenesis
Xin Xu, Yu Jia-Yin, Huang Jun-Yang, et al.
Computers in Biology and Medicine (2023) Vol. 159, pp. 106943-106943
Closed Access | Times Cited: 7
A novel strategy for designing the magic shotguns for distantly related target pairs
Yongchao Luo, Panpan Wang, Minjie Mou, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 12
A systematic review of state-of-the-art strategies for machine learning-based protein function prediction
Tianci Yan, Zixuan Yue, Hongquan Xu, et al.
Computers in Biology and Medicine (2022) Vol. 154, pp. 106446-106446
Closed Access | Times Cited: 11
XGraphCDS: An explainable deep learning model for predicting drug sensitivity from gene pathways and chemical structures
Yimeng Wang, Xinxin Yu, Yaxin Gu, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107746-107746
Closed Access | Times Cited: 6
EVlncRNA-Dpred: improved prediction of experimentally validated lncRNAs by deep learning
Bailing Zhou, Maolin Ding, Jing Feng, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 8
A comprehensive survey on deep learning-based identification and predicting the interaction mechanism of long non-coding RNAs
Biyu Diao, Jin Luo, Yu Guo
Briefings in Functional Genomics (2024) Vol. 23, Iss. 4, pp. 314-324
Closed Access | Times Cited: 1
MFPINC: prediction of plant ncRNAs based on multi-source feature fusion
Zhenjun Nie, Mengqing Gao, Xiu Jin, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1
A systematic review on the state-of-the-art strategies for protein representation
Zixuan Yue, Tianci Yan, Hongquan Xu, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106440-106440
Closed Access | Times Cited: 6
Is fragment-based graph a better graph-based molecular representation for drug design? A comparison study of graph-based models
Baiyu Chen, Ziqi Pan, Minjie Mou, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107811-107811
Closed Access | Times Cited: 3
Exploring miRNA–target gene pair detection in disease with coRmiT
J. Caballero, James R. Perkins, Federico García-Criado, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access
Plant lncRNA-miRNA Interaction Prediction Based on Counterfactual Heterogeneous Graph Attention Network
Yu He, Zilan Ning, Xinghui Zhu, et al.
Interdisciplinary Sciences Computational Life Sciences (2024)
Closed Access
Multi-view learning framework for predicting unknown types of cancer markers via directed graph neural networks fitting regulatory networks
Xin-Fei Wang, Lan Huang, Yan Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access
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