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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.

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Showing 13 citing articles:

4mCBERT: A computing tool for the identification of DNA N4-methylcytosine sites by sequence- and chemical-derived information based on ensemble learning strategies
Sen Yang, Zexi Yang, Jun Yang
International Journal of Biological Macromolecules (2023) Vol. 231, pp. 123180-123180
Closed Access | Times Cited: 17
N(6)-methyladenosine modification: A vital role of programmed cell death in myocardial ischemia/reperfusion injury
Jian Wang, Yanyan Li, Song Zhang
International Journal of Cardiology (2022) Vol. 367, pp. 11-19
Closed Access | Times Cited: 26
BiLSTM- and CNN-Based m6A Modification Prediction Model for circRNAs
Yuqian Yuan, Xiaozhu Tang, Hongyan Li, et al.
Molecules (2024) Vol. 29, Iss. 11, pp. 2429-2429
Open Access | Times Cited: 3
Crosstalk between m6A and coding/non-coding RNA in cancer and detection methods of m6A modification residues
Qingren Meng, Heide Schatten, Qian Zhou, et al.
Aging (2023) Vol. 15, Iss. 13, pp. 6577-6619
Open Access | Times Cited: 7
Identification of 6-methyladenosine sites using novel feature encoding methods and ensemble models
Nashwan Alromema, Muhammad Taseer Suleman, Sharaf J. Malebary, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
BiPSTP: Sequence feature encoding method for identifying different RNA modifications with bidirectional position-specific trinucleotides propensities
Mingzhao Wang, Haider Ali, Yandi Xu, et al.
Journal of Biological Chemistry (2024) Vol. 300, Iss. 4, pp. 107140-107140
Open Access | Times Cited: 1
Bioinformatic tools for epitranscriptomics
Y‐h. Taguchi
AJP Cell Physiology (2022) Vol. 324, Iss. 2, pp. C447-C457
Closed Access | Times Cited: 7
PSP-PJMI: An innovative feature representation algorithm for identifying DNA N4-methylcytosine sites
Mingzhao Wang, Juanying Xie, P.W. Grant, et al.
Information Sciences (2022) Vol. 606, pp. 968-983
Closed Access | Times Cited: 4
Network regression analysis for binary and ordinal categorical phenotypes in transcriptome-wide association studies
Liye Zhang, Tao Ju, Xiuyuan Jin, et al.
Genetics (2022) Vol. 222, Iss. 4
Open Access | Times Cited: 4
Comprehensive Review and Assessment of Computational Methods for Prediction of N6-Methyladenosine Sites
Zhengtao Luo, Liyi Yu, Zhaochun Xu, et al.
Biology (2024) Vol. 13, Iss. 10, pp. 777-777
Open Access
DNA/RNA sequence feature representation algorithms for predicting methylation-modified sites
Juanying Xie, Mingzhao Wang, Sheng‐Quan Xu
Scientia Sinica Vitae (2022) Vol. 53, Iss. 6, pp. 841-875
Closed Access | Times Cited: 2
Prediction of RNA Modifications Based on Multi-interval Nucleotide Pair Mutual Information
Qin Yang, Shanxin Zhang
(2022), pp. 13-16
Closed Access
Recent Development of Computational Methods in the Field of Epitranscriptomics
Zijie Zhang, Shun Liu, Chuan He, et al.
Springer handbooks of computational statistics (2022), pp. 285-309
Closed Access
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