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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:

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

Showing 1-25 of 39 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
Transformer Architecture and Attention Mechanisms in Genome Data Analysis: A Comprehensive Review
Sanghyuk Roy Choi, Minhyeok Lee
Biology (2023) Vol. 12, Iss. 7, pp. 1033-1033
Open Access | Times Cited: 61
Umami-MRNN: Deep learning-based prediction of umami peptide using RNN and MLP
Lulu Qi, Jialuo Du, Yue Sun, et al.
Food Chemistry (2022) Vol. 405, pp. 134935-134935
Closed Access | Times Cited: 38
Multiple sequence alignment-based RNA language model and its application to structural inference
Yikun Zhang, Mei Lang, Jiuhong Jiang, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. 1, pp. e3-e3
Open Access | Times Cited: 36
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
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
RNA Sequence Analysis Landscape: A Comprehensive Review of Task Types, Databases, Datasets, Word Embedding Methods, and Language Models
Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Tayyaba Asif, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e41488-e41488
Open Access
Using statistical analysis to explore the influencing factors of data imbalance for machine learning identification methods of human transcriptome m6A modification sites
Mingxin Li, Rujun Li, Yichi Zhang, et al.
Computational Biology and Chemistry (2025) Vol. 115, pp. 108351-108351
Closed Access
Deep5mC: Predicting 5-Methylcytosine (5mC) Methylation Status Using a Deep Learning Transformer Approach
Ekaterina Kinnear, Houssemeddine Derbel, Zhongming Zhao, et al.
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 631-638
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
Methyl-GP: accurate generic DNA methylation prediction based on a language model and representation learning
Hao Xie, Leyao Wang, Yuqing Qian, et al.
Nucleic Acids Research (2025) Vol. 53, Iss. 6
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
NeuroPpred-SVM: A New Model for Predicting Neuropeptides Based on Embeddings of BERT
Yufeng Liu, Shuyu Wang, Xiang Li, et al.
Journal of Proteome Research (2023) Vol. 22, Iss. 3, pp. 718-728
Closed Access | Times Cited: 11
DNA N6-Methyladenine Modification in Eukaryotic Genome
Hao Li, Ning Zhang, Yuechen Wang, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 18
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
DNA-MP: a generalized DNA modifications predictor for multiple species based on powerful sequence encoding method
Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Ahtisham Fazeel, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 13
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
Multiple sequence-alignment-based RNA language model and its application to structural inference
Yikun Zhang, Mei Lang, Jiuhong Jiang, et al.
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
EMDL-ac4C: identifying N4-acetylcytidine based on ensemble two-branch residual connection DenseNet and attention
Jianhua Jia, Zhangying Wei, Xiaojing Cao
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 5
TransC-ac4C: Identification of N4-acetylcytidine (ac4C) sites in mRNA using deep learning
Dian Liu, Zi Liu, Yunpeng Xia, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 5, pp. 1403-1412
Closed Access | Times Cited: 1
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
DeepNup: Prediction of Nucleosome Positioning from DNA Sequences Using Deep Neural Network
Yiting Zhou, Tingfang Wu, Yelu Jiang, et al.
Genes (2022) Vol. 13, Iss. 11, pp. 1983-1983
Open Access | Times Cited: 6
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