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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 1-25 of 36 citing articles:

iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations
Junru Jin, Yingying Yu, Ruheng Wang, et al.
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 90
BERT6mA: prediction of DNA N6-methyladenine site using deep learning-based approaches
Sho Tsukiyama, Md Mehedi Hasan, Hong‐Wen Deng, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Open Access | Times Cited: 39
iDNA-OpenPrompt: OpenPrompt learning model for identifying DNA methylation
Xia Yu, Jia Ren, Haixia Long, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 12
Large language models in bioinformatics: applications and perspectives
Jiajia Liu, Mengyuan Yang, Yankai Yu, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 8
Foundation models in bioinformatics
Fei Guo, Renchu Guan, Yaohang Li, et al.
National Science Review (2025)
Open Access | Times Cited: 1
Deep6mAPred: A CNN and Bi-LSTM-based deep learning method for predicting DNA N6-methyladenosine sites across plant species
Xingyu Tang, Peijie Zheng, Xueyong Li, et al.
Methods (2022) Vol. 204, pp. 142-150
Closed Access | Times Cited: 29
PSAC-6mA: 6mA site identifier using self-attention capsule network based on sequence-positioning
Zheyu Zhou, Cuilin Xiao, Jinfen Yin, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108129-108129
Closed Access | Times Cited: 7
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
LSA-ac4C: A hybrid neural network incorporating double-layer LSTM and self-attention mechanism for the prediction of N4-acetylcytidine sites in human mRNA
Fei-Liao Lai, Feng Gao
International Journal of Biological Macromolecules (2023) Vol. 253, pp. 126837-126837
Closed Access | Times Cited: 13
Application of machine learning and genomics for orphan crop improvement
Tessa R. MacNish, Monica F. Danilevicz, Philipp E. Bayer, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine
Sakhaa B. Alsaedi, Xin Gao, Takashi Gojobori
FEBS Open Bio (2025)
Open Access
DNA sequence analysis landscape: a comprehensive review of DNA sequence analysis task types, databases, datasets, word embedding methods, and language models
Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Alam Zaib, et al.
Frontiers in Medicine (2025) Vol. 12
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
EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across species
Fei Li, Shuai Liu, Kewei Li, et al.
Computers in Biology and Medicine (2023) Vol. 160, pp. 107030-107030
Closed Access | Times Cited: 9
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
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.
BMC Genomics (2023) Vol. 24, Iss. 1
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
BERT-5mC: an interpretable model for predicting 5-methylcytosine sites of DNA based on BERT
Shuyu Wang, Yinbo Liu, Yufeng Liu, et al.
PeerJ (2023) Vol. 11, pp. e16600-e16600
Open Access | Times Cited: 5
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
Structured Sparse Regularized TSK Fuzzy System for predicting therapeutic peptides
Xiaoyi Guo, Yizhang Jiang, Quan Zou
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 7
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
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
A Novel Capsule Network with Attention Routing to Identify Prokaryote Phosphorylation Sites
Shixian Wang, Lina Zhang, Runtao Yang, et al.
Biomolecules (2022) Vol. 12, Iss. 12, pp. 1854-1854
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
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