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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:

m6A-NeuralTool: Convolution Neural Tool for RNA N6-Methyladenosine Site Identification in Different Species
Mobeen Ur Rehman, Jeehong Kim, Hilal Tayara, et al.
IEEE Access (2021) Vol. 9, pp. 17779-17786
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Feature fusion and Ensemble learning-based CNN model for mammographic image classification
Imran Ul Haq, Haider Ali, Hong Yu Wang, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 6, pp. 3310-3318
Open Access | Times Cited: 35
i6mA-Caps: a CapsuleNet-based framework for identifying DNA N6-methyladenine sites
Mobeen Ur Rehman, Hilal Tayara, Quan Zou, et al.
Bioinformatics (2022) Vol. 38, Iss. 16, pp. 3885-3891
Open Access | Times Cited: 34
DL-m6A: Identification of N6-Methyladenosine Sites in Mammals Using Deep Learning Based on Different Encoding Schemes
Mobeen Ur Rehman, Hilal Tayara, Kil To Chong
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 2, pp. 904-911
Closed Access | Times Cited: 32
Meta-IL4: An ensemble learning approach for IL-4-inducing peptide prediction
Mir Tanveerul Hassan, Hilal Tayara, Kil To Chong
Methods (2023) Vol. 217, pp. 49-56
Closed Access | Times Cited: 20
TS-m6A-DL: Tissue-specific identification of N6-methyladenosine sites using a universal deep learning model
Zeeshan Abbas, Hilal Tayara, Quan Zou, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 4619-4625
Open Access | Times Cited: 35
Deepm6A-MT: A deep learning-based method for identifying RNA N6-methyladenosine sites in multiple tissues
Guohua Huang, Xiaohong Huang, Jinyun Jiang
Methods (2024) Vol. 226, pp. 1-8
Closed Access | Times Cited: 6
The Role of RNA Modification in HIV-1 Infection
Shuqi Wang, Huanxiang Li, Zhengxing Lian, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 14, pp. 7571-7571
Open Access | Times Cited: 20
M6A-BERT-Stacking: A Tissue-Specific Predictor for Identifying RNA N6-Methyladenosine Sites Based on BERT and Stacking Strategy
Qianyue Li, Xin Cheng, Chen Song, et al.
Symmetry (2023) Vol. 15, Iss. 3, pp. 731-731
Open Access | Times Cited: 12
Predicting the bandgap and efficiency of perovskite solar cells using machine learning methods
Asad Khan, Jeevan Kandel, Hilal Tayara, et al.
Molecular Informatics (2023) Vol. 43, Iss. 2
Closed Access | Times Cited: 12
4mCPred-CNN—Prediction of DNA N4-Methylcytosine in the Mouse Genome Using a Convolutional Neural Network
Zeeshan Abbas, Hilal Tayara, Kil To Chong
Genes (2021) Vol. 12, Iss. 2, pp. 296-296
Open Access | Times Cited: 27
Injecting structure-aware insights for the learning of RNA sequence representations to identify m6A modification sites
Yue Yu, Shuang Xiang, Ming‐Hao Wu
PeerJ (2025) Vol. 13, pp. e18878-e18878
Open Access
BERT-m7G: A Transformer Architecture Based on BERT and Stacking Ensemble to Identify RNA N7-Methylguanosine Sites from Sequence Information
Lu Zhang, Xinyi Qin, Min Liu, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 23
Cr-Prom: A Convolutional Neural Network-Based Model for the Prediction of Rice Promoters
Muhammad Shujaat, Seung Beop Lee, Hilal Tayara, et al.
IEEE Access (2021) Vol. 9, pp. 81485-81491
Open Access | Times Cited: 22
A Novel Attention-Mechanism Based Cox Survival Model by Exploiting Pan-Cancer Empirical Genomic Information
Xiangyu Meng, Xun Wang, Xudong Zhang, et al.
Cells (2022) Vol. 11, Iss. 9, pp. 1421-1421
Open Access | Times Cited: 13
iProm-Zea: A two-layer model to identify plant promoters and their types using convolutional neural network
Jeehong Kim, Muhammad Shujaat, Hilal Tayara
Genomics (2022) Vol. 114, Iss. 3, pp. 110384-110384
Open Access | Times Cited: 13
Role of RNA Modifications, Especially m6A, in Aflatoxin Biosynthesis of Aspergillus flavus
Chi Yang, Dandan Wu, Hong Lin, et al.
Journal of Agricultural and Food Chemistry (2023) Vol. 72, Iss. 1, pp. 726-741
Closed Access | Times Cited: 7
M6A-BiNP: predicting N6-methyladenosine sites based on bidirectional position-specific propensities of polynucleotides and pointwise joint mutual information
Mingzhao Wang, Juanying Xie, Sheng‐Quan Xu
RNA Biology (2021) Vol. 18, Iss. 12, pp. 2498-2512
Open Access | Times Cited: 13
iRG-4mC: Neural Network Based Tool for Identification of DNA 4mC Sites in Rosaceae Genome
Dae Yeong Lim, Mobeen Ur Rehman, Kil To Chong
Symmetry (2021) Vol. 13, Iss. 5, pp. 899-899
Open Access | Times Cited: 11
iProm-phage: A two-layer model to identify phage promoters and their types using a convolutional neural network
Muhammad Shujaat, Joe Sung Jin, Hilal Tayara, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 7
Bioinformatic tools for epitranscriptomics
Y‐h. Taguchi
AJP Cell Physiology (2022) Vol. 324, Iss. 2, pp. C447-C457
Closed Access | Times Cited: 7
Dynamic regulation and key roles of ribonucleic acid methylation
Jia Zou, Hui Liu, Wei Tan, et al.
Frontiers in Cellular Neuroscience (2022) Vol. 16
Open Access | Times Cited: 7
Composite Ensemble Learning Framework for Passive Drone Radio Frequency Fingerprinting in Sixth-Generation Networks
Muhammad Usama Zahid, Muhammad Danish Nisar, Adnan Fazil, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5618-5618
Open Access | Times Cited: 1
M6A-GSMS: Computational identification of N6-methyladenosine sites with GBDT and stacking learning in multiple species
Shengli Zhang, Jinyue Wang, Xinjie Li, et al.
Journal of Biomolecular Structure and Dynamics (2021) Vol. 40, Iss. 22, pp. 12380-12391
Closed Access | Times Cited: 6
MLACNN: an attention mechanism-based CNN architecture for predicting genome-wide DNA methylation
Jianguo Bai, Hai Yang, Changde Wu
Theory in Biosciences (2023) Vol. 142, Iss. 4, pp. 359-370
Open Access | Times Cited: 2
M6ATMR: identifying N6-methyladenosine sites through RNA sequence similarity matrix reconstruction guided by Transformer
Shuang Xiang, Te Zhang, Ming‐Hao Wu
PeerJ (2023) Vol. 11, pp. e15899-e15899
Open Access | Times Cited: 2
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