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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:

Hyb4mC: a hybrid DNA2vec-based model for DNA N4-methylcytosine sites prediction
Ying Liang, Yanan Wu, Zequn Zhang, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 22

Showing 22 citing articles:

MPCLCDA: predicting circRNA–disease associations by using automatically selected meta-path and contrastive learning
Wei Liu, Ting Tang, Xu Lu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 35
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
4mCBERT: A computing tool for the identification of DNA N4-methylcytosine sites by sequence- and chemical-derived information based on ensemble learning strategies
Sen Yang, Zexi Yang, Jun Yang
International Journal of Biological Macromolecules (2023) Vol. 231, pp. 123180-123180
Closed Access | Times Cited: 17
CapsNet-LDA: predicting lncRNA-disease associations using attention mechanism and capsule network based on multi-view data
Zequn Zhang, Junlin Xu, Yanan Wu, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 26
Computational prediction and interpretation of druggable proteins using a stacked ensemble-learning framework
Phasit Charoenkwan, Nalini Schaduangrat, Píetro Lió, et al.
iScience (2022) Vol. 25, Iss. 9, pp. 104883-104883
Open Access | Times Cited: 23
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
Identifying potential drug-target interactions based on ensemble deep learning
Liqian Zhou, Yuzhuang Wang, Lihong Peng, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 7
How natural language processing derived techniques are used on biological data: a systematic review
Emmanouil D. Oikonomou, Petros Karvelis, Νικόλαος Γιαννακέας, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 2
CRBSP:Prediction of CircRNA-RBP Binding Sites Based on Multimodal Intermediate Fusion
Niannian Liu, Zequn Zhang, Yanan Wu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 5, pp. 2898-2906
Closed Access | Times Cited: 5
DRSN4mCPred: accurately predicting sites of DNA N4-methylcytosine using deep residual shrinkage network for diagnosis and treatment of gastrointestinal cancer in the precision medicine era
Xia Yu, Jia Ren, Yani Cui, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 5
Trans-m5C: A transformer-based model for predicting 5-methylcytosine (m5C) sites
Haitao Fu, Zewen Ding, Wen Wang
Methods (2024)
Open Access | Times Cited: 1
GR-m6A: Prediction of N6-methyladenosine sites in mammals with molecular graph and residual network
Shi Qiu, Renxin Liu, Ying Liang
Computers in Biology and Medicine (2023) Vol. 163, pp. 107202-107202
Closed Access | Times Cited: 4
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
Screening potential lncRNA biomarkers for breast cancer and colorectal cancer combining random walk and logistic matrix factorization
Shijun Li, Miaomiao Chang, Ling Tong, et al.
Frontiers in Genetics (2023) Vol. 13
Open Access | Times Cited: 2
SDBA: Score Domain-Based Attention for DNA N4-Methylcytosine Site Prediction from Multiperspectives
Ruihao Xin, Fan Zhang, Jiaxin Zheng, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2839-2853
Closed Access | Times Cited: 2
An Integrated Multi-Model Framework Utilizing Convolutional Neural Networks Coupled with Feature Extraction for Identification of 4mC Sites in DNA Sequences
Muhammad Tahir, Shahid Hussain, Fawaz Khaled Alarfaj
Computers in Biology and Medicine (2024) Vol. 183, pp. 109281-109281
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
A Comparative Analysis of Machine Learning and Deep Learning Approaches for Circular RNA Classification
Vivek Rajendran, Harishchander Anandaram, S. Sachin Kumar, et al.
(2023), pp. 1026-1034
Closed Access | Times Cited: 1
Editorial: Machine learning-based methods for RNA data analysis—Volume II
Lihong Peng, Jialiang Yang, Minxian Wang, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 1
Stacking-Kcr: A Stacking Model for Predicting the Crotonylation Sites of Lysine by Fusing Serial and Automatic Encoder
Ying Liang, Suhui Li, Xiya You, et al.
Current Bioinformatics (2023) Vol. 19, Iss. 7, pp. 674-686
Closed 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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