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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:

LDNFSGB: prediction of long non-coding rna and disease association using network feature similarity and gradient boosting
Yuan Zhang, Fei Ye, Dapeng Xiong, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

A comprehensive survey on design and application of autoencoder in deep learning
Pengzhi Li, Yan Pei, Jianqiang Li
Applied Soft Computing (2023) Vol. 138, pp. 110176-110176
Closed Access | Times Cited: 187
Appyters: Turning Jupyter Notebooks into data-driven web apps
Daniel Clarke, Minji Jeon, Daniel J. Stein, et al.
Patterns (2021) Vol. 2, Iss. 3, pp. 100213-100213
Open Access | Times Cited: 92
Long non-coding RNAs (lncRNAs) signaling in cancer chemoresistance: From prediction to druggability
Giasemi C. Eptaminitaki, Dimitris Stellas, Benjamin Bonavida, et al.
Drug Resistance Updates (2022) Vol. 65, pp. 100866-100866
Closed Access | Times Cited: 51
Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases
Nan Sheng, Yan Wang, Lan Huang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Closed Access | Times Cited: 25
LDA-VGHB: identifying potential lncRNA–disease associations with singular value decomposition, variational graph auto-encoder and heterogeneous Newton boosting machine
Lihong Peng, Liangliang Huang, Qiongli Su, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 25
Data resources and computational methods for lncRNA-disease association prediction
Nan Sheng, Lan Huang, Yuting Lu, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106527-106527
Open Access | Times Cited: 24
GCRFLDA: scoring lncRNA-disease associations using graph convolution matrix completion with conditional random field
Yongxian Fan, Meijun Chen, Xiaoyong Pan
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 45
MAGCNSE: predicting lncRNA-disease associations using multi-view attention graph convolutional network and stacking ensemble model
Ying Liang, Zequn Zhang, Nian-Nian Liu, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 32
Plasma lncRNA profiling identified BC200 and NEAT1 lncRNAs as potential blood-based biomarkers for late-onset Alzheimer's disease.
Majid Khodayi, Mohammad Khalaj‐Kondori, Mohammad Ali Hoseinpour Feizi, et al.
PubMed (2022) Vol. 21, pp. 772-785
Closed Access | Times Cited: 30
Artificial intelligence-driven drug repositioning uncovers efavirenz as a modulator of α-synuclein propagation: Implications in Parkinson’s disease
Jae-Bong Kim, Soo‐Jeong Kim, M. L. So, et al.
Biomedicine & Pharmacotherapy (2024) Vol. 174, pp. 116442-116442
Open Access | Times Cited: 7
GEnDDn: An lncRNA–Disease Association Identification Framework Based on Dual-Net Neural Architecture and Deep Neural Network
Lihong Peng, Mengnan Ren, Liangliang Huang, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 2, pp. 418-438
Closed Access | Times Cited: 7
CapsNet-LDA: predicting lncRNA-disease associations using attention mechanism and capsule network based on multi-view data
Zequn Zhang, Junlin Xu, Yanan Wu, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 27
Finding potential lncRNA–disease associations using a boosting-based ensemble learning model
Liqian Zhou, Xinhuai Peng, Lijun Zeng, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 6
A deep learning ensemble approach to prioritize antiviral drugs against novel coronavirus SARS-CoV-2 for COVID-19 drug repurposing
K. Deepthi, A. S. Jereesh, Yuansheng Liu
Applied Soft Computing (2021) Vol. 113, pp. 107945-107945
Open Access | Times Cited: 30
Extra Trees Method for Predicting LncRNA-Disease Association Based On Multi-Layer Graph Embedding Aggregation
Qing-Wen Wu, Ruifen Cao, Junfeng Xia, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 6, pp. 3171-3178
Closed Access | Times Cited: 28
Artificial intelligence and machine learning heuristics for discovery of ncRNAs
Alfredo Benso, Gianfranco Politano
Progress in molecular biology and translational science (2025)
Closed Access
Truncated Arctangent Rank Minimization and Double-Strategy Neighborhood Constraint Graph Inference for Drug–Disease Association Prediction
Tiyao Liu, Shudong Wang, Shanchen Pang, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
DAPNEML: Disease-Diet Associations Prediction in a NEtwork using a Machine Learning based approach
Rashmeet Toor, Inderveer Chana
Journal of Network and Computer Applications (2025), pp. 104140-104140
Closed Access
Autoencoder-based drug-virus association prediction with reliable negative sample selection: A case study with COVID-19
Ajithadas Aruna, K. R. Remesh Babu, K. Deepthi
Biophysical Chemistry (2025) Vol. 322, pp. 107434-107434
Closed Access
Prognosis Assessment of Gastric Cancer Based on Disulfidptosis-Related lncRNA and Its Immunotherapy Efficacy Analysis
春淦 刘
Advances in Clinical Medicine (2025) Vol. 15, Iss. 03, pp. 1463-1476
Closed Access
MiRNA-Disease association prediction via non-negative matrix factorization based matrix completion
Xiao Zheng, Chujie Zhang, Wan Cheng
Signal Processing (2021) Vol. 190, pp. 108312-108312
Closed Access | Times Cited: 23
LncRNA-disease association identification using graph auto-encoder and learning to rank
Liang Qi, Wenxiang Zhang, Hao Wu, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 15
Developing explainable models for lncRNA-Targeted drug discovery using graph autoencoders
Huiying Liu, Xiangzheng Fu, Haiting Chen, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 29-39
Closed Access | Times Cited: 3
Bioinformatics Analysis of Long Non-coding RNA and Related Diseases: An Overview
Yuxin Gong, Wen Zhu, Meili Sun, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 20
RWSF-BLP: a novel lncRNA-disease association prediction model using random walk-based multi-similarity fusion and bidirectional label propagation
Guobo Xie, Bin Huang, Yuping Sun, et al.
Molecular Genetics and Genomics (2021) Vol. 296, Iss. 3, pp. 473-483
Closed Access | Times Cited: 16
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