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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:

iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization
Yingying Yu, Wenjia He, Junru Jin, et al.
Bioinformatics (2021) Vol. 37, Iss. 24, pp. 4603-4610
Closed Access | Times Cited: 36

Showing 26-50 of 36 citing articles:

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
iDNA-ITLM: An interpretable and transferable learning model for identifying DNA methylation
Xia Yu, Yani Cui, Zhichao Wang, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0301791-e0301791
Open Access
iResNetDM: An interpretable deep learning approach for four types of DNA methylation modification prediction
Zerui Yang, Wei Shao, Yudai Matsuda, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 4214-4221
Open Access
Multiple kernel-based fuzzy system for identifying enhancers
Zhichao Xiao, Yijie Ding, Yu Liang
Expert Systems with Applications (2024), pp. 125981-125981
Closed Access
iResNetDM: interpretable and comprehensive deep learning model for 4 types of DNA modifications prediction
Zerui Yang, Wei Shao, Yudai Matsuda, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open 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
Comparative evaluation and analysis of DNA N4-methylcytosine methylation sites using deep learning
Hong Ju, Jie Bai, Jing Jiang, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 1
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: 1
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
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
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
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
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