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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:

Node-adaptive graph Transformer with structural encoding for accurate and robust lncRNA-disease association prediction
Guanghui Li, Peihao Bai, Liang Cheng, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 17

Showing 17 citing articles:

Predicting noncoding RNA and disease associations using multigraph contrastive learning
Si-Lin Sun, Yi Jiang, Jun-Ping Yang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Identifying virulence factors using graph transformer autoencoder with ESMFold-predicted structures
Guanghui Li, Peihao Bai, Chen Jiao, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108062-108062
Closed Access | Times Cited: 6
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
Herb-disease association prediction model based on network consistency projection
Lei Chen, Shiyi Zhang, Bo Zhou
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
im7G-DCT: A two-branch strategy model based on improved DenseNet and Transformer for m7G site prediction
Rufeng Lei, Jian Jia, Lulu Qin
Computational Biology and Chemistry (2025) Vol. 118, pp. 108473-108473
Closed Access
KNDM: A Knowledge Graph Transformer and Node Category Sensitive Contrastive Learning Model for Drug and Microbe Association Prediction
Dongliang Chen, Tiangang Zhang, Hui Cui, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
LncRNAs involvement in pathogenesis of immune-related disease via regulation of T regulatory cells, an updated review
Shayan Khalilollah, Sina Kalantari Soltanieh, Raed Obaid Saleh, et al.
Cytokine (2024) Vol. 179, pp. 156585-156585
Closed Access | Times Cited: 3
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
A computational model for potential microbe–disease association detection based on improved graph convolutional networks and multi-channel autoencoders
Chuyi Zhang, Zhen Zhang, Feng Zhang, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access | Times Cited: 1
DCSGMDA: A dual-channel convolutional model based on stacked deep learning collaborative gradient decomposition for predicting miRNA-disease associations
Xu Cao, Pengli Lu
Computational Biology and Chemistry (2024) Vol. 113, pp. 108201-108201
Closed Access | Times Cited: 1
An Exploratory Review on Recent Computational Approaches Devised for MiRNA Disease Association Prediction
S. Sujamol, E. R. Vimina, U. Krishnakumar
Current Bioinformatics (2024) Vol. 20, Iss. 2, pp. 120-138
Closed Access
LncRNA-Disease Association Prediction Based on Integrated Application of Matrix Decomposition and Graph Contrastive Learning
Guangyi Tang, Qingbao Zhang, Dengju Yao, et al.
Lecture notes in computer science (2024), pp. 224-236
Closed Access
Predicting lncRNA–Disease Associations Based on a Dual-Path Feature Extraction Network with Multiple Sources of Information Integration
Dengju Yao, Binbin Zhang, Xiaojuan Zhan, et al.
ACS Omega (2024) Vol. 9, Iss. 32, pp. 35100-35112
Open Access
CHNSCDA: circRNA-disease association prediction based on strongly correlated heterogeneous neighbor sampling
Yuanyuan Lin, Nianrui Wang, Jiangyan Liu, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access
Deep learning model for protein multi-label subcellular localization and function prediction based on multi-task collaborative training
Peihao Bai, Guanghui Li, Jiawei Luo, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access
Prediction of miRNA-disease association based on multisource inductive matrix completion
Yawei Wang, Zhixiang Yin
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Predicting microbe-disease associations via graph neural network and contrastive learning
Cong Jiang, J. H. Feng, Boxuan Shan, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access
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