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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:

Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species
Zutan Li, Hangjin Jiang, Lingpeng Kong, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 2, pp. e1008767-e1008767
Open Access | Times Cited: 47

Showing 26-50 of 47 citing articles:

ELMo4m6A: A Contextual Language Embedding-Based Predictor for Detecting RNA N6-Methyladenosine Sites
Yongxian Fan, Guicong Sun, Xiaoyong Pan
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 2, pp. 944-954
Closed Access | Times Cited: 8
Prediction of DNA Methylation based on Multi-dimensional feature encoding and double convolutional fully connected convolutional neural network
Wenxing Hu, Lixin Guan, Mengshan Li
PLoS Computational Biology (2023) Vol. 19, Iss. 8, pp. e1011370-e1011370
Open Access | Times Cited: 4
SNN6mA: Improved DNA N6-methyladenine site prediction using Siamese network-based feature embedding
Xuan Yu, Jun Hu, Ying Zhang
Computers in Biology and Medicine (2023) Vol. 166, pp. 107533-107533
Closed Access | Times Cited: 4
Plant Synthetic Promoters
Piotr Szymczyk, Małgorzata Majewska
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4877-4877
Open Access | Times Cited: 1
6mAPred-MSFF: A Deep Learning Model for Predicting DNA N6-Methyladenine Sites across Species Based on a Multi-Scale Feature Fusion Mechanism
Rao Zeng, Minghong Liao
Applied Sciences (2021) Vol. 11, Iss. 16, pp. 7731-7731
Open Access | Times Cited: 10
Identification, characterization, and design of plant genome sequences using deep learning
Zhenye Wang, Hao Yuan, Jianbing Yan, et al.
The Plant Journal (2024)
Open Access | Times Cited: 1
CNN6mA: Interpretable neural network model based on position-specific CNN and cross-interactive network for 6mA site prediction
Sho Tsukiyama, Md Mehedi Hasan, Hiroyuki Kurata
Computational and Structural Biotechnology Journal (2022) Vol. 21, pp. 644-654
Open Access | Times Cited: 6
4mCPred-GSIMP: Predicting DNA N4-methylcytosine sites in the mouse genome with multi-Scale adaptive features extraction and fusion
Jianhua Jia, Yu Deng, Mengyue Yi, et al.
Mathematical Biosciences & Engineering (2023) Vol. 21, Iss. 1, pp. 253-271
Open Access | Times Cited: 2
SARS-CoV-2 virus classification based on stacked sparse autoencoder
Maria G. F. Coutinho, Gabriel Bezerra Motta Câmara, Raquel de Melo Barbosa, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 21, pp. 284-298
Open Access | Times Cited: 4
6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site
Guohua Huang, Xiaohong Huang, Wei Luo
BioData Mining (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 2
A review of methods for predicting DNA N6-methyladenine sites
Ke Han, Jianchun Wang, Yu Wang, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 3
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
Improving DNA 6mA Site Prediction via Integrating Bidirectional Long Short-Term Memory, Convolutional Neural Network, and Self-Attention Mechanism
Jun Hu, Yu-Xuan Tang, Yu Zhou, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 17, pp. 5689-5700
Closed Access | Times Cited: 1
Multi-scale DNA language model improves 6 mA binding sites prediction
Anlin Hou, Hanyu Luo, Liu Huan, et al.
Computational Biology and Chemistry (2024) Vol. 112, pp. 108129-108129
Closed Access
Deep learning modeling of RNA ac4C deposition reveals the importance of plant alternative splicing
B.-Y. Guo, Xinlin Wei, Shuangcheng Liu, et al.
Plant Molecular Biology (2024) Vol. 114, Iss. 6
Closed Access
A Novel Training Strategy for Deep Learning Model Compression Applied to Viral Classifications
Marcelo A. C. Fernandes, H. T. Kung
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-9
Closed Access | Times Cited: 3
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
6mA-stackingCV: An improved stacking ensemble model for predicting DNA N6-methyladenine site
Guohua Huang, Xiaohong Huang, Wei Luo
Research Square (Research Square) (2023)
Open Access
StableDNAm: Towards a Stable and Efficient Model for Predicting DNA Methylation Based on Adaptive Feature Correction Learning
Linlin Zhuo, Rui Wang, Xiangzheng Fu, et al.
Research Square (Research Square) (2023)
Open Access
Biomedical Knowledge Representation Learning
Zheni Zeng, Zhiyuan Liu, Yankai Lin, et al.
(2023), pp. 433-462
Open Access
Time series-based hybrid ensemble learning model with multivariate multidimensional feature coding for DNA methylation prediction
Wu Yan, Li Tan, Mengshan Li, et al.
BMC Genomics (2023) Vol. 24, Iss. 1
Open Access
A Novel Method for Predicting DNA N4-Methylcytosine Sites Based on Deep Forest Algorithm
zhang yonglin, Mei Hu, Qi Mo, et al.
SSRN Electronic Journal (2022)
Closed Access
ACNN-6mA: Prediction of N6-Methyladenine Loci in Multiple Species Based on Rice Dataset Pre-training Model
Jianguo Bai, Hai Yang
Research Square (Research Square) (2022)
Open Access
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