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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:

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

Showing 1-25 of 47 citing articles:

Large-scale comparative review and assessment of computational methods for anti-cancer peptide identification
Xiao Liang, Fuyi Li, Jin-Xiang Chen, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Open Access | Times Cited: 71
A Stacking Ensemble Learning Framework for Genomic Prediction
Mang Liang, Tianpeng Chang, Bingxing An, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 61
Deep learning and machine learning predictive models for neurological function after interventional embolization of intracranial aneurysms
Yan Peng, Yiren Wang, Zhongjian Wen, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 9
StackPDB: Predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier
Qingmei Zhang, Peishun Liu, Xue Wang, et al.
Applied Soft Computing (2020) Vol. 99, pp. 106921-106921
Open Access | Times Cited: 52
EnANNDeep: An Ensemble-based lncRNA–protein Interaction Prediction Framework with Adaptive k-Nearest Neighbor Classifier and Deep Models
Lihong Peng, Jingwei Tan, Xiongfei Tian, et al.
Interdisciplinary Sciences Computational Life Sciences (2022) Vol. 14, Iss. 1, pp. 209-232
Closed Access | Times Cited: 37
Deep learning and ensemble deep learning for circRNA-RBP interaction prediction in the last decade: A review
Dilan Lasantha, Sugandima Vidanagamachchi, Sam Nallaperuma
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106352-106352
Closed Access | Times Cited: 20
RPI-MDLStack: Predicting RNA–protein interactions through deep learning with stacking strategy and LASSO
Bin Yu, Xue Wang, Yaqun Zhang, et al.
Applied Soft Computing (2022) Vol. 120, pp. 108676-108676
Closed Access | Times Cited: 28
SGCNCMI: A New Model Combining Multi-Modal Information to Predict circRNA-Related miRNAs, Diseases and Genes
Chang-Qing Yu, Xinfei Wang, Liping Li, et al.
Biology (2022) Vol. 11, Iss. 9, pp. 1350-1350
Open Access | Times Cited: 23
A novel ensemble CNN model for COVID-19 classification in computerized tomography scans
Lúcio Flávio de Jesus Silva, Omar Andrés Carmona Cortes, João Otávio Bandeira Diniz
Results in Control and Optimization (2023) Vol. 11, pp. 100215-100215
Open Access | Times Cited: 16
A deep learning model for plant lncRNA-protein interaction prediction with graph attention
Jael Sanyanda Wekesa, Jun Meng, Yushi Luan
Molecular Genetics and Genomics (2020) Vol. 295, Iss. 5, pp. 1091-1102
Closed Access | Times Cited: 33
Classification of imbalanced data using machine learning algorithms to predict the risk of renal graft failures in Ethiopia
Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 13
Staem5: A novel computational approach for accurate prediction of m5C site
Di Chai, Cangzhi Jia, Jia Zheng, et al.
Molecular Therapy — Nucleic Acids (2021) Vol. 26, pp. 1027-1034
Open Access | Times Cited: 24
DeepLPI: a multimodal deep learning method for predicting the interactions between lncRNAs and protein isoforms
Dipan Shaw, Hao Chen, Minzhu Xie, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 23
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
Predicting lncRNA–Protein Interactions by Heterogenous Network Embedding
Guoqing Zhao, Pengpai Li, Qiao Xu, et al.
Frontiers in Genetics (2022) Vol. 12
Open Access | Times Cited: 12
Opportunities and Challenges of Predictive Approaches for the Non-coding RNA in Plants
Dong Xu, Wenya Yuan, Chunjie Fan, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 12
RPI-EDLCN: An Ensemble Deep Learning Framework Based on Capsule Network for ncRNA–Protein Interaction Prediction
Xiaoyi Li, Wenyan Qu, Jing Yan, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2221-2235
Closed Access | Times Cited: 7
Mining plant endogenous target mimics from miRNA–lncRNA interactions based on dual-path parallel ensemble pruning method
Qiang Kang, Jun Meng, Chenglin Su, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 16
RLF-LPI: An ensemble learning framework using sequence information for predicting lncRNA-protein interaction based on AE-ResLSTM and fuzzy decision
Jinmiao Song, Shengwei Tian, Long Yu, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 5, pp. 4749-4764
Open Access | Times Cited: 11
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
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
Predicting gestational age at birth in the context of preterm birth from multi-modal fetal MRI
Diego Fajardo-Rojas, Megan Hall, Daniel Cromb, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
计算生物学在RNA研究中的应用
Zhirong Chen, Junhong Huang, Bin Li, et al.
Scientia Sinica Vitae (2024)
Open Access | Times Cited: 1
StackPDB: predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier
Qingmei Zhang, Peishun Liu, Han Yu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 10
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