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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:

Mouse4mC-BGRU: Deep learning for predicting DNA N4-methylcytosine sites in mouse genome
Junru Jin, Yingying Yu, Leyi Wei
Methods (2022) Vol. 204, pp. 258-262
Closed Access | Times Cited: 20

Showing 20 citing articles:

FEOpti-ACVP: identification of novel anti-coronavirus peptide sequences based on feature engineering and optimization
Jici Jiang, Hongdi Pei, Jiayu Li, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 7
A Brief Survey of Deep Learning-based Models for CircRNA-Protein Binding Sites Prediction
Zhen Shen, Lin Yuan, Wenzheng Bao, et al.
Neurocomputing (2025), pp. 129637-129637
Open Access
MuLan-Methyl—multiple transformer-based language models for accurate DNA methylation prediction
Wenhuan Zeng, Anupam Gautam, Daniel H. Huson
GigaScience (2022) Vol. 12
Open Access | Times Cited: 19
MultiScale-CNN-4mCPred: a multi-scale CNN and adaptive embedding-based method for mouse genome DNA N4-methylcytosine prediction
Peijie Zheng, Guiyang Zhang, Yuewu Liu, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 8
MaskDNA-PGD: An innovative deep learning model for detecting DNA methylation by integrating mask sequences and adversarial PGD training as a data augmentation method
Zhiwei Zheng, Nguyen Quoc Khanh Le, Matthew Chin Heng Chua
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 232, pp. 104715-104715
Closed Access | Times Cited: 11
MuLan-Methyl - Multiple Transformer-based Language Models for Accurate DNA Methylation Prediction
Wenhuan Zeng, Anupam Gautam, Daniel H. Huson
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
AntiMF: A deep learning framework for predicting anticancer peptides based on multi-view feature extraction
Jingjing Liu, Minghao Li, Xin Chen
Methods (2022) Vol. 207, pp. 38-43
Closed Access | Times Cited: 9
DGA-5mC: A 5-methylcytosine site prediction model based on an improved DenseNet and bidirectional GRU method
Jianhua Jia, Lulu Qin, Rufeng Lei
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 6, pp. 9759-9780
Open Access | Times Cited: 4
STM-ac4C: a hybrid model for identification of N4-acetylcytidine (ac4C) in human mRNA based on selective kernel convolution, temporal convolutional network, and multi-head self-attention
Mengyue Yi, Fenglin Zhou, Yu Deng
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 1
DeepPGD: A Deep Learning Model for DNA Methylation Prediction Using Temporal Convolution, BiLSTM, and Attention Mechanism
Shoryu Teragawa, Lei Wang, Yi Liu
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 15, pp. 8146-8146
Open Access | Times Cited: 1
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
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: 3
Plant6mA: A predictor for predicting N6-methyladenine sites with lightweight structure in plant genomes
Hua Shi, Shuang Li, Xi Su
Methods (2022) Vol. 204, pp. 126-131
Closed Access | Times Cited: 5
4mC-CGRU: Identification of N4-Methylcytosine (4mC) sites using convolution gated recurrent unit in Rosaceae genome
Abida Sultana, Sadia Jannat Mitu, Md Naimul Pathan, et al.
Computational Biology and Chemistry (2023) Vol. 107, pp. 107974-107974
Open Access | Times Cited: 2
Identification of DNA N4-methylcytosine sites based on multi-source features and gradient boosting decision tree
Shengli Zhang, Yingying Yao, Jie-Sheng Wang, et al.
Analytical Biochemistry (2022) Vol. 652, pp. 114746-114746
Closed Access | Times Cited: 4
Mus4mCPred: Accurate Identification of DNA N4-Methylcytosine Sites in Mouse Genome Using Multi-View Feature Learning and Deep Hybrid Network
Xiao Wang, Qian Du, Rong Wang
Processes (2024) Vol. 12, Iss. 6, pp. 1129-1129
Open 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
Editorial: Artificial intelligence in drug discovery and development
Leyi Wei, Quan Zou, Xiangxiang Zeng
Methods (2024) Vol. 226, pp. 133-137
Closed Access
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
Brassica Bitki Türlerinde Transkripsiyon Faktörü DNA'sının Derin Öğrenme ile Sınıflandırılması
Ali Burak Öncül
European Journal of Science and Technology (2022)
Open Access
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