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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-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: 91

Showing 1-25 of 91 citing articles:

DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysis
Ruheng Wang, Yi Jiang, Junru Jin, et al.
Nucleic Acids Research (2023) Vol. 51, Iss. 7, pp. 3017-3029
Open Access | Times Cited: 98
DisoFLAG: accurate prediction of protein intrinsic disorder and its functions using graph-based interaction protein language model
Yihe Pang, Bin Liu
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 12
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
Prediction of blood–brain barrier penetrating peptides based on data augmentation with Augur
Zhi-Feng Gu, Yu-Duo Hao, Tianyu Wang, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 12
GenoM7GNet: An Efficient N7-Methylguanosine Site Prediction Approach Based on a Nucleotide Language Model
Chuang Li, Heshi Wang, Yanhua Wen, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 6, pp. 2258-2268
Open Access | Times Cited: 12
AGF-PPIS: A protein–protein interaction site predictor based on an attention mechanism and graph convolutional networks
Xiuhao Fu, Ye Yuan, Haoye Qiu, et al.
Methods (2024) Vol. 222, pp. 142-151
Closed Access | Times Cited: 11
A computational model of circRNA-associated diseases based on a graph neural network: prediction and case studies for follow-up experimental validation
Mengting Niu, Chunyu Wang, Zhanguo Zhang, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 11
A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens
Zhao‐Yue Zhang, Zheng Zhang, Xiucai Ye, et al.
International Journal of Biological Macromolecules (2024) Vol. 265, pp. 130659-130659
Open Access | Times Cited: 11
CODENET: A deep learning model for COVID-19 detection
Hong Ju, Yanyan Cui, Qiaosen Su, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108229-108229
Closed Access | Times Cited: 10
Identification, characterization and expression analysis of circRNA encoded by SARS-CoV-1 and SARS-CoV-2
Mengting Niu, Chunyu Wang, Yaojia Chen, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 9
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: 8
Foundation models in bioinformatics
Fei Guo, Renchu Guan, Yaohang Li, et al.
National Science Review (2025)
Open Access | Times Cited: 1
ERNIE-ac4C: A novel deep learning model for effectively predicting N4-acetylcytidine sites
Ronglin Lu, Jianbo Qiao, Kaixiang Li, et al.
Journal of Molecular Biology (2025), pp. 168978-168978
Closed Access | Times Cited: 1
Interpretable vertical federated learning with privacy-preserving multi-source data integration for prognostic prediction
Qingyong Wang
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110408-110408
Closed Access | Times Cited: 1
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
msBERT-Promoter: a multi-scale ensemble predictor based on BERT pre-trained model for the two-stage prediction of DNA promoters and their strengths
Yazi Li, Xiaoman Wei, Qinglin Yang, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 7
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
ACVPred: Enhanced prediction of anti-coronavirus peptides by transfer learning combined with data augmentation
Yi Xu, Tianyuan Liu, Yu Yang, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 305-315
Closed Access | Times Cited: 5
Cancer Drug Sensitivity Prediction Based on Deep Transfer Learning
Weilin Meng, Xinyu Xu, Zhichao Xiao, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 6, pp. 2468-2468
Open Access
A Review on the Applications of Transformer-based language models for Nucleotide Sequence Analysis
Nimisha Ghosh, Daniele Santoni, Indrajit Saha, et al.
Computational and Structural Biotechnology Journal (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
Artificial intelligence-driven plant bio-genomics research: a new era
Yang Lin, Hao Wang, Meiling Zou, et al.
Tropical Plants (2025) Vol. 4, Iss. 1
Closed Access
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