Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Learning distributed representations of RNA and protein sequences and its application for predicting lncRNA-protein interactions
Hai-Cheng Yi, Zhu‐Hong You, Li Cheng, et al.
Computational and Structural Biotechnology Journal (2019) Vol. 18, pp. 20-26
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Precise prediction of phase-separation key residues by machine learning
Jun Sun, Jiale Qu, Cai Zhao, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 24
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
Multiple sequence alignment-based RNA language model and its application to structural inference
Yikun Zhang, Mei Lang, Jiuhong Jiang, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. 1, pp. e3-e3
Open Access | Times Cited: 38
A Comprehensive Review of Bioinformatics Tools for Genomic Biomarker Discovery Driving Precision Oncology
A. J. Clark, James W. Lillard
Genes (2024) Vol. 15, Iss. 8, pp. 1036-1036
Open Access | Times Cited: 17
Cross-domain contrastive graph neural network for lncRNA–protein interaction prediction
Hui Li, Bin Wu, Miaomiao Sun, et al.
Knowledge-Based Systems (2024) Vol. 296, pp. 111901-111901
Closed Access | Times Cited: 7
RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information
Hai-Cheng Yi, Zhu‐Hong You, Mei-Neng Wang, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 47
nhKcr: a new bioinformatics tool for predicting crotonylation sites on human nonhistone proteins based on deep learning
Yongzi Chen, Zhuozhi Wang, Yanan Wang, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 39
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: 35
RPI-CapsuleGAN: Predicting RNA-protein interactions through an interpretable generative adversarial capsule network
Yifei Wang, Xue Wang, Cheng Chen, et al.
Pattern Recognition (2023) Vol. 141, pp. 109626-109626
Closed Access | Times Cited: 15
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
Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information
Jianqiang Li, Xiaofeng Shi, Zhu‐Hong You, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2020) Vol. 17, Iss. 5, pp. 1546-1554
Closed Access | Times Cited: 27
Long non-coding RNAs: Key regulators in oxaliplatin resistance of colorectal cancer
Fangfang Qi, Yunyao Yang, Haowen Zhang, et al.
Biomedicine & Pharmacotherapy (2020) Vol. 128, pp. 110329-110329
Open Access | Times Cited: 27
Recent Advances in Predicting Protein-lncRNA Interactions Using Machine Learning Methods
Pu-Feng Du, Han Yu, Zi-Ang Shen, et al.
Current Gene Therapy (2021) Vol. 22, Iss. 3, pp. 228-244
Closed Access | Times Cited: 22
LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification
Liqian Zhou, Qi Duan, Xiongfei Tian, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 19
SEBGLMA: Semantic Embedded Bipartite Graph Network for Predicting lncRNA-miRNA Associations
Zhengyang Zhao, Jie Lin, Zhen Wang, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-15
Open Access | Times Cited: 6
Multiple sequence-alignment-based RNA language model and its application to structural inference
Yikun Zhang, Mei Lang, Jiuhong Jiang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
GR-m6A: Prediction of N6-methyladenosine sites in mammals with molecular graph and residual network
Shi Qiu, Renxin Liu, Ying Liang
Computers in Biology and Medicine (2023) Vol. 163, pp. 107202-107202
Closed Access | Times Cited: 6
Protein feature engineering framework for AMPylation site prediction
Hardik Prabhu, Hrushikesh Bhosale, Aamod Sane, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
In silico drug repositioning using deep learning and comprehensive similarity measures
Hai-Cheng Yi, Zhu‐Hong You, Lei Wang, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. S3
Open Access | Times Cited: 13
LPIH2V: LncRNA-protein interactions prediction using HIN2Vec based on heterogeneous networks model
Meng-Meng Wei, Chang-Qing Yu, Liping Li, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 5
NPI-RGCNAE: Fast Predicting ncRNA-Protein Interactions Using the Relational Graph Convolutional Network Auto-Encoder
Han Yu, Zi-Ang Shen, Pu-Feng Du
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 4, pp. 1861-1871
Closed Access | Times Cited: 11
Artificial intelligence methods enhance the discovery of RNA interactions
Gerardo Pepe, R Appierdo, Chiara Carrino, et al.
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 8
SAWRPI: A Stacking Ensemble Framework With Adaptive Weight for Predicting ncRNA-Protein Interactions Using Sequence Information
Zhong-Hao Ren, Chang-Qing Yu, Liping Li, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 7
CBIL-VHPLI: a model for predicting viral-host protein-lncRNA interactions based on machine learning and transfer learning
Man Zhang, Li Zhang, Ting Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
A miRNA Target Prediction Model Based on Distributed Representation Learning and Deep Learning
Yuzhuo Sun, Fei Xiong, Yongke Sun, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 6
Page 1 - Next Page

Scroll to top