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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 mRNA subcellular localization using deep recurrent neural networks
Zichao Yan, Éric Lécuyer, Mathieu Blanchette
Bioinformatics (2019) Vol. 35, Iss. 14, pp. i333-i342
Open Access | Times Cited: 66

Showing 26-50 of 66 citing articles:

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
MRSLpred—a hybrid approach for predicting multi-label subcellular localization of mRNA at the genome scale
Shubham Choudhury, Nisha Bajiya, Sumeet Patiyal, et al.
Frontiers in Bioinformatics (2024) Vol. 4
Open Access | Times Cited: 3
MirLocPredictor: A ConvNet-Based Multi-Label MicroRNA Subcellular Localization Predictor by Incorporating k-Mer Positional Information
Muhammad Nabeel Asim, Muhammad Imran Malik, Christoph Zehe, et al.
Genes (2020) Vol. 11, Iss. 12, pp. 1475-1475
Open Access | Times Cited: 20
Predicting subcellular location of protein with evolution information and sequence-based deep learning
Zhijun Liao, Gaofeng Pan, Chao Sun, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. S10
Open Access | Times Cited: 18
RNA-GPS predicts high-resolution RNA subcellular localization and highlights the role of splicing
Kevin Wu, Kevin R. Parker, Furqan M. Fazal, et al.
RNA (2020) Vol. 26, Iss. 7, pp. 851-865
Open Access | Times Cited: 18
DeepmRNALoc: A Novel Predictor of Eukaryotic mRNA Subcellular Localization Based on Deep Learning
Shihang Wang, Zhehan Shen, Taigang Liu, et al.
Molecules (2023) Vol. 28, Iss. 5, pp. 2284-2284
Open Access | Times Cited: 6
Deciphering 3’ UTR mediated gene regulation using interpretable deep representation learning
Yuning Yang, Gen Li, Kuan Pang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
mRCat: A Novel CatBoost Predictor for the Binary Classification of mRNA Subcellular Localization by Fusing Large Language Model Representation and Sequence Features
Xiao Wang, Lixiang Yang, Rong Wang
Biomolecules (2024) Vol. 14, Iss. 7, pp. 767-767
Open Access | Times Cited: 2
MSlocPRED: deep transfer learning-based identification of multi-label mRNA subcellular localization
Yuhua Zuo, Bangyi Zhang, Wenying He, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 2
Localization elements and zip codes in the intracellular transport and localization of messenger RNAs in Saccharomyces cerevisiae
Anusha Chaudhuri, Subhadeep Das, Biswadip Das
Wiley Interdisciplinary Reviews - RNA (2020) Vol. 11, Iss. 4
Closed Access | Times Cited: 15
Prediction of RNA subcellular localization: Learning from heterogeneous data sources
Anca F. Savulescu, Emmanuel Bouilhol, Nicolas Beaume, et al.
iScience (2021) Vol. 24, Iss. 11, pp. 103298-103298
Open Access | Times Cited: 12
A protein succinylation sites prediction method based on the hybrid architecture of LSTM network and CNN
Die Zhang, Shunfang Wang
Journal of Bioinformatics and Computational Biology (2022) Vol. 20, Iss. 02
Closed Access | Times Cited: 9
LUNAR :Drug Screening for Novel Coronavirus Based on Representation Learning Graph Convolutional Network
Deshan Zhou, Shaoliang Peng, Dong‐Qing Wei, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 18, Iss. 4, pp. 1290-1298
Open Access | Times Cited: 11
Subcellular Spatial Transcriptomes: Emerging Frontier for Understanding Gene Regulation
Furqan M. Fazal, Howard Y. Chang
Cold Spring Harbor Symposia on Quantitative Biology (2019) Vol. 84, pp. 31-45
Open Access | Times Cited: 12
Protein sequence information extraction and subcellular localization prediction with gapped k-Mer method
Yuhua Yao, Yaping Lv, Ling Li, et al.
BMC Bioinformatics (2019) Vol. 20, Iss. S22
Open Access | Times Cited: 11
Graphylo: A deep learning approach for predicting regulatory DNA and RNA sites from whole-genome multiple alignments
Dongjoon Lim, Changhyun Baek, Mathieu Blanchette
iScience (2024) Vol. 27, Iss. 2, pp. 109002-109002
Open Access | Times Cited: 1
mRNA-CLA: An interpretable deep learning approach for predicting mRNA subcellular localization
Yi‐Fan Chen, Zhenya Du, Xuanbai Ren, et al.
Methods (2024) Vol. 227, pp. 17-26
Closed Access | Times Cited: 1
DRpred: A Novel Deep Learning-Based Predictor for Multi-Label mRNA Subcellular Localization Prediction by Incorporating Bayesian Inferred Prior Label Relationships
Xiao Wang, Lixiang Yang, Rong Wang
Biomolecules (2024) Vol. 14, Iss. 9, pp. 1067-1067
Open Access | Times Cited: 1
mLoc-mRNA: predicting multiple sub-cellular localization of mRNAs using random forest algorithm coupled with feature selection via elastic net
Prabina Kumar Meher, Anil Rai, A. R. Rao
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 8
NN-RNALoc: Neural network-based model for prediction of mRNA sub-cellular localization using distance-based sub-sequence profiles
Negin Sadat Babaiha, Rosa Aghdam, Shokoofeh Ghiam, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0258793-e0258793
Open Access | Times Cited: 3
Immune Landscape and an RBM38-Associated Immune Prognostic Model with Laboratory Verification in Malignant Melanoma
Jinfang Liu, Jun Xu, Binlin Luo, et al.
Cancers (2022) Vol. 14, Iss. 6, pp. 1590-1590
Open Access | Times Cited: 4
Genome-wide measurement of RNA dissociation from chromatin classifies transcripts by their dynamics and reveals rapid dissociation of enhancer lncRNAs
Evgenia Ntini, Stefan Budach, Ulf Andersson Ørom, et al.
Cell Systems (2023) Vol. 14, Iss. 10, pp. 906-922.e6
Closed Access | Times Cited: 2
Assessing the Use of Secondary Structure Fingerprints and Deep Learning to Classify RNA Sequences
Kevin Sutanto, Marcel Turcotte
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2020) Vol. 4983, pp. 42-49
Closed Access | Times Cited: 5
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding
Min Zeng, Yifan Wu, Chengqian Lu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 5
Prediction of RNA-protein interactions using a nucleotide language model
Keisuke Yamada, Michiaki Hamada
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 5

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