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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:

GM-lncLoc: LncRNAs subcellular localization prediction based on graph neural network with meta-learning
Junzhe Cai, Ting Wang, Xi Deng, et al.
BMC Genomics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 24

Showing 24 citing articles:

Big data and deep learning for RNA biology
Hyeonseo Hwang, Hyeonseong Jeon, Nagyeong Yeo, et al.
Experimental & Molecular Medicine (2024) Vol. 56, Iss. 6, pp. 1293-1321
Open Access | Times Cited: 12
SGCL-LncLoc: An Interpretable Deep Learning Model for Improving IncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning
Min Li, Baoying Zhao, Yiming Li, et al.
Big Data Mining and Analytics (2024) Vol. 7, Iss. 3, pp. 765-780
Open Access | Times Cited: 7
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
A Review for Artificial-Intelligence-Based Protein Subcellular Localization
Hanyu Xiao, Yijin Zou, Jieqiong Wang, et al.
Biomolecules (2024) Vol. 14, Iss. 4, pp. 409-409
Open Access | Times Cited: 4
CFPLncLoc: A multi-label lncRNA subcellular localization prediction based on Chaos game representation and centralized feature pyramid
Sheng Wang, Zu‐Guo Yu, Han Guosheng, et al.
International Journal of Biological Macromolecules (2025) Vol. 297, pp. 139519-139519
Closed Access
MVSLLnc: LncRNA subcellular localization prediction based on multi-source features and two-stage voting strategy
Sheng Wang, Zu‐Guo Yu, Guo-Sheng Han
Methods (2025)
Closed Access
LINC01123 aggravates cerebral ischemia reperfusion injury by targeting miR-654-5p to upregulate METTL7A
Xiaoyang Feng, Jia Liu
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A review from biological mapping to computation-based subcellular localization
Jing Li, Quan Zou, Lei Yuan
Molecular Therapy — Nucleic Acids (2023) Vol. 32, pp. 507-521
Open Access | Times Cited: 9
The role of long noncoding RNAs in amyotrophic lateral sclerosis
Darya Rajabi, Shaghayegh Khanmohammadi, Nima Rezaei
Reviews in the Neurosciences (2024) Vol. 35, Iss. 5, pp. 533-547
Closed Access | Times Cited: 3
Exploring the landscape of tools and resources for the analysis of long non-coding RNAs
Monica Ballarino, Gerardo Pepe, Manuela Helmer‐Citterich, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 4706-4716
Open Access | Times Cited: 8
A Review for Artificial Intelligence Based Protein Subcellular Localization
Hanyu Xiao, Yijin Zou, Jieqiong Wang, et al.
(2024)
Open Access | Times Cited: 2
LSTM-SAGDTA: Predicting Drug-target Binding Affinity with an Attention Graph Neural Network and LSTM Approach
Wenjing Qiu, Qianle Liang, Liyi Yu, et al.
Current Pharmaceutical Design (2024) Vol. 30, Iss. 6, pp. 468-476
Open Access | Times Cited: 1
Gra-CRC-miRTar: The pre-trained nucleotide-to-graph neural networks to identify potential miRNA targets in colorectal cancer
Rui Yin, Hongru Zhao, Lu Li, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
GP-HTNLoc: A graph prototype head-tail network-based model for multi-label subcellular localization prediction of ncRNAs
Shuangkai Han, Lin Liu
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2034-2048
Open Access | Times Cited: 1
Compilation of resources on subcellular localization of lncRNA
Shubham Choudhury, Anand Singh Rathore, Gajendra P. S. Raghava
Frontiers in RNA Research (2024) Vol. 2
Closed Access | Times Cited: 1
Gra-CRC-miRTar: The pre-trained nucleotide-to-graph neural networks to identify potential miRNA targets in colorectal cancer
Rui Yin, Hongru Zhao, Li Lü, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 3020-3029
Open Access | Times Cited: 1
LncSTPred: a predictive model of lncRNA subcellular localization and decipherment of the biological determinants influencing localization
Sile Hu, Yingli Chen, Lu-Qiang Zhang, et al.
Frontiers in Molecular Biosciences (2024) Vol. 11
Open Access | Times Cited: 1
A review of computational model-based prediction of lncRNA subcellular localization
Rongneng Sun, Qingsong Guo, Xiaofen Yuan
Advances in Computer Signals and Systems (2024) Vol. 8, Iss. 1
Open Access
GP-HTNLoc: A Graph Prototype Head-Tail Network-based Model for Multi-label Subcellular Localization Prediction of ncRNAs
Shuangkai Han, Lin Liu
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Evaluation of machine learning models that predict lncRNA subcellular localization
Jason Miller, Weijun Yi, Donald Adjeroh
NAR Genomics and Bioinformatics (2024) Vol. 6, Iss. 3
Open Access
The potential of long non-coding RNAs for motor function recovery after spinal cord injury in rodents: a systematic review and meta-analysis
Wen-Ya Shang, Jing Huang, Yike Yang, et al.
European Journal of Pharmacology (2024), pp. 177139-177139
Closed Access
LncSL: A Novel Stacked Ensemble Computing Tool for Subcellular Localization of lncRNA by Amino Acid-Enhanced Features and Two-Stage Automated Selection Strategy
Lun Zhu, Hong Chen, Sen Yang
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 24, pp. 13734-13734
Open Access
BiGM-lncLoc: Bi-level Multi-Graph Meta-Learning for Predicting Cell-Specific Long Noncoding RNAs Subcellular Localization
Xi Deng, Lin Liu
Interdisciplinary Sciences Computational Life Sciences (2024)
Closed Access
Time series-based hybrid ensemble learning model with multivariate multidimensional feature coding for DNA methylation prediction
Wu Yan, Li Tan, Mengshan Li, et al.
BMC Genomics (2023) Vol. 24, Iss. 1
Open Access
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