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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:

LncADeep: anab initiolncRNA identification and functional annotation tool based on deep learning
Cheng Yang, Longshu Yang, Man Zhou, et al.
Bioinformatics (2018) Vol. 34, Iss. 22, pp. 3825-3834
Closed Access | Times Cited: 126

Showing 1-25 of 126 citing articles:

Deep learning in bioinformatics: Introduction, application, and perspective in the big data era
Yu Li, Chao Huang, Lizhong Ding, et al.
Methods (2019) Vol. 166, pp. 4-21
Open Access | Times Cited: 335
PPR-Meta: a tool for identifying phages and plasmids from metagenomic fragments using deep learning
Zhencheng Fang, Jie Tan, Shu‐Fang Vivienne Wu, et al.
GigaScience (2019) Vol. 8, Iss. 6
Open Access | Times Cited: 161
Linking discoveries, mechanisms, and technologies to develop a clearer perspective on plant long noncoding RNAs
Kyle Palos, Liang Yu, Caylyn E Railey, et al.
The Plant Cell (2023) Vol. 35, Iss. 6, pp. 1762-1786
Open Access | Times Cited: 44
Evaluation of deep learning in non-coding RNA classification
Noorul Amin, Annette McGrath, Yi‐Ping Phoebe Chen
Nature Machine Intelligence (2019) Vol. 1, Iss. 5, pp. 246-256
Closed Access | Times Cited: 128
CPPred: coding potential prediction based on the global description of RNA sequence
Xiaoxue Tong, Shiyong Liu
Nucleic Acids Research (2019) Vol. 47, Iss. 8, pp. e43-e43
Open Access | Times Cited: 116
RNAsamba: neural network-based assessment of the protein-coding potential of RNA sequences
Antônio Pedro Camargo, Vsevolod Sourkov, Gonçalo Pereira, et al.
NAR Genomics and Bioinformatics (2020) Vol. 2, Iss. 1
Open Access | Times Cited: 97
MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors
Robson Parmezan Bonidia, Douglas Silva Domingues, Danilo Sipoli Sanches, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 63
NPI-GNN: Predicting ncRNA–protein interactions with deep graph neural networks
Zi-Ang Shen, Tao Luo, Yuan-Ke Zhou, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 58
Predicting potential interactions between lncRNAs and proteins via combined graph auto-encoder methods
Jingxuan Zhao, Jianqiang Sun, Stella C. Shuai, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 44
LncRNA–miRNA–mRNA regulatory axes in endometrial cancer: a comprehensive overview
Abhishek Shetty, Thejaswini Venkatesh, Shama Prasada Kabbekodu, et al.
Archives of Gynecology and Obstetrics (2022) Vol. 306, Iss. 5, pp. 1431-1447
Closed Access | Times Cited: 42
RNAincoder: a deep learning-based encoder for RNA and RNA-associated interaction
Yunxia Wang, Zhen Chen, Ziqi Pan, et al.
Nucleic Acids Research (2023) Vol. 51, Iss. W1, pp. W509-W519
Open Access | Times Cited: 25
Mitigating off‐target effects of small RNAs: conventional approaches, network theory and artificial intelligence
Zoltán Bereczki, Bettina Benczik, Olivér M. Balogh, et al.
British Journal of Pharmacology (2024)
Open Access | Times Cited: 12
From tradition to innovation: conventional and deep learning frameworks in genome annotation
Zhaojia Chen, Noor ul Ain, Qian Zhao, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 11
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: 11
LPI-BLS: Predicting lncRNA–protein interactions with a broad learning system-based stacked ensemble classifier
Xiao-Nan Fan, Shao‐Wu Zhang
Neurocomputing (2019) Vol. 370, pp. 88-93
Closed Access | Times Cited: 69
DeepCPP: a deep neural network based on nucleotide bias information and minimum distribution similarity feature selection for RNA coding potential prediction
Yu Zhang, Cangzhi Jia, Melissa J. Fullwood, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 2073-2084
Closed Access | Times Cited: 57
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
Rapid and accurate bacteria identification through deep-learning-based two-dimensional Raman spectroscopy
Yichen Liu, Yisheng Gao, Rui Niu, et al.
Analytica Chimica Acta (2024) Vol. 1332, pp. 343376-343376
Closed Access | Times Cited: 7
Capsule-LPI: a LncRNA–protein interaction predicting tool based on a capsule network
Ying Li, Hang Sun, Shiyao Feng, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 34
The computational approaches of lncRNA identification based on coding potential: Status quo and challenges
Jing Li, Xuan Zhang, Changning Liu
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 3666-3677
Open Access | Times Cited: 35
A novel deep learning method for predictive modeling of microbiome data
Ye Wang, Tathagata Bhattacharya, Yuchao Jiang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Closed Access | Times Cited: 34
TetraRNA, a tetra-class machine learning model for deciphering the coding potential derivation of RNA world
Hanrui Bai, Jie Wang, Xiaoke Jiang, et al.
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 1305-1317
Open Access
Recent advances in investigation of circRNA/lncRNA-miRNA-mRNA networks through RNA sequencing data analysis
Yulan Gao, Konii Takenaka, Si-Mei Xu, et al.
Briefings in Functional Genomics (2025) Vol. 24
Open Access
Multi-Omics Approaches to Study Long Non-coding RNA Function in Atherosclerosis
Adam W. Turner, Doris Wong, Mohammad Daud Khan, et al.
Frontiers in Cardiovascular Medicine (2019) Vol. 6
Open Access | Times Cited: 35
Long Noncoding RNA and Protein Interactions: From Experimental Results to Computational Models Based on Network Methods
Hui Zhang, Yanchun Liang, Siyu Han, et al.
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 6, pp. 1284-1284
Open Access | Times Cited: 33
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