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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:

Systematic Analysis and Accurate Identification of DNA N4-Methylcytosine Sites by Deep Learning
Lezheng Yu, Yonglin Zhang, Xue Li, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 12

Showing 12 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
DeepSF-4mC: A deep learning model for predicting DNA cytosine 4mC methylation sites leveraging sequence features
Zhaomin Yao, Fei Li, Weiming Xie, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108166-108166
Open Access | Times Cited: 6
Development and validation of a deep reinforcement learning algorithm for auto-delineation of organs at risk in cervical cancer radiotherapy
LI Yu-cheng, Qiu Lingyun, Kainan Shao, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Fast and Efficient Design of Deep Neural Networks for Predicting N7-Methylguanosine Sites Using autoBioSeqpy
Yonglin Zhang, Lezheng Yu, Runyu Jing, et al.
ACS Omega (2023) Vol. 8, Iss. 22, pp. 19728-19740
Open Access | Times Cited: 4
Biochemical and structural characterization of the first-discovered metazoan DNA cytosine-N4 methyltransferase from the bdelloid rotifer Adineta vaga
Jujun Zhou, J.R. Horton, Gundeep Kaur, et al.
Journal of Biological Chemistry (2023) Vol. 299, Iss. 8, pp. 105017-105017
Open Access | Times Cited: 4
A Grid Search-Based Multilayer Dynamic Ensemble System to Identify DNA N4—Methylcytosine Using Deep Learning Approach
Rajib Kumar Halder, Mohammed Nasir Uddin, Md Ashraf Uddin, et al.
Genes (2023) Vol. 14, Iss. 3, pp. 582-582
Open Access | Times Cited: 3
Shaping eukaryotic epigenetic systems by horizontal gene transfer
Irina R. Arkhipova, Irina A. Yushenova, Fernando Rodríguez
BioEssays (2023) Vol. 45, Iss. 7
Closed Access | Times Cited: 2
Particle Swarm Optimization-Assisted Multilayer Ensemble Model to predict DNA 4mC sites
Sajeeb Saha, Rajib Kumar Halder, Mohammed Nasir Uddin
Informatics in Medicine Unlocked (2023) Vol. 42, pp. 101374-101374
Open Access | Times Cited: 2
An Integrated Multi-Model Framework Utilizing Convolutional Neural Networks Coupled with Feature Extraction for Identification of 4mC Sites in DNA Sequences
Muhammad Tahir, Shahid Hussain, Fawaz Khaled Alarfaj
Computers in Biology and Medicine (2024) Vol. 183, pp. 109281-109281
Closed Access
iDNA-EBT: An ensemble model based on multi-scale secondary fine-tuned BERT
Wei Peng, Yangcheng Hu, Zihan Zhao, et al.
(2024), pp. 1-6
Closed Access
A novel method for predicting DNA N4-methylcytosine sites based on deep forest algorithm
Yonglin Zhang, Mei Hu, Qi Mo, et al.
Journal of Bioinformatics and Computational Biology (2023) Vol. 21, Iss. 01
Closed Access
4mCPred-Caps: Identification of DNA N4-methylcytosine sites using CapsuleNet
Zeeshan Abbas, Kil To Chong
2022 22nd International Conference on Control, Automation and Systems (ICCAS) (2022), pp. 1874-1877
Closed Access
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