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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:

EPAI-NC: Enhanced prediction of adenosine to inosine RNA editing sites using nucleotide compositions
Ahsan Ahmad, Swakkhar Shatabda
Analytical Biochemistry (2019) Vol. 569, pp. 16-21
Closed Access | Times Cited: 11

Showing 11 citing articles:

ATTIC is an integrated approach for predicting A-to-I RNA editing sites in three species
Ruyi Chen, Fuyi Li, Xudong Guo, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Open Access | Times Cited: 17
Bioinformatics approaches for deciphering the epitranscriptome: Recent progress and emerging topics
Lian Liu, Bowen Song, Jiani Ma, et al.
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 1587-1604
Open Access | Times Cited: 49
Locate-R: Subcellular localization of long non-coding RNAs using nucleotide compositions
Ahsan Ahmad, Hao Lin, Swakkhar Shatabda
Genomics (2020) Vol. 112, Iss. 3, pp. 2583-2589
Open Access | Times Cited: 48
Machine learning applications in RNA modification sites prediction
Achraf El Allali, Zahra Elhamraoui, Rachid Daoud
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 5510-5524
Open Access | Times Cited: 31
A-to-I RNA Editing in Cancer: From Evaluating the Editing Level to Exploring the Editing Effects
Heming Wang, Sinuo Chen, Jiayi Wei, et al.
Frontiers in Oncology (2021) Vol. 10
Open Access | Times Cited: 29
A brief review of machine learning methods for RNA methylation sites prediction
Hong Wang, Shuyu Wang, Yong Zhang, et al.
Methods (2022) Vol. 203, pp. 399-421
Closed Access | Times Cited: 20
m5Cpred-XS: A New Method for Predicting RNA m5C Sites Based on XGBoost and SHAP
Yinbo Liu, Yingying Shen, Hong Wang, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 12
Epitranscriptomics in parasitic protists: Role of RNA chemical modifications in posttranscriptional gene regulation
Cassandra Catacalos, Alexander Krohannon, Sahiti Somalraju, et al.
PLoS Pathogens (2022) Vol. 18, Iss. 12, pp. e1010972-e1010972
Open Access | Times Cited: 10
SubFeat: Feature subspacing ensemble classifier for function prediction of DNA, RNA and protein sequences
H. M. Fazlul Haque, Rafsanjani Muhammod, Fariha Arifin, et al.
Computational Biology and Chemistry (2021) Vol. 92, pp. 107489-107489
Open Access | Times Cited: 6
SubFeat: Feature Subspacing Ensemble Classifier for Function Prediction of DNA, RNA and Protein Sequences
H. M. Fazlul Haque, Fariha Arifin, Sheikh Adilina, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 1
The predictive value of double-stranded RNA for A-to-I editing detection
Guy Shur, Yuval Tamir, Alal Eran
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
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