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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:

Prediction of N6-methyladenosine sites using convolution neural network model based on distributed feature representations
Muhammad Tahir, Maqsood Hayat, Kil To Chong
Neural Networks (2020) Vol. 129, pp. 385-391
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides
Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
Bioinformatics (2021) Vol. 37, Iss. 17, pp. 2556-2562
Closed Access | Times Cited: 136
AIPs-SnTCN: Predicting Anti-Inflammatory Peptides Using fastText and Transformer Encoder-Based Hybrid Word Embedding with Self-Normalized Temporal Convolutional Networks
Ali Raza, Jamal Uddin, Abdullah Almuhaimeed, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 21, pp. 6537-6554
Closed Access | Times Cited: 73
Variational gated autoencoder-based feature extraction model for inferring disease-miRNA associations based on multiview features
Yanbu Guo, Dongming Zhou, Xiaoli Ruan, et al.
Neural Networks (2023) Vol. 165, pp. 491-505
Closed Access | Times Cited: 55
Discovering Consensus Regions for Interpretable Identification of RNA N6-Methyladenosine Modification Sites via Graph Contrastive Clustering
Guodong Li, Bo-Wei Zhao, Xiaorui Su, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 4, pp. 2362-2372
Closed Access | Times Cited: 23
pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning
Muhammad Khalil Shahid, Maqsood Hayat, Wajdi Alghamdi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
MSCAN: multi-scale self- and cross-attention network for RNA methylation site prediction
Honglei Wang, Tao Huang, Dong Wang, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 7
XG-ac4C: identification of N4-acetylcytidine (ac4C) in mRNA using eXtreme gradient boosting with electron-ion interaction pseudopotentials
Waleed Alam, Hilal Tayara, Kil To Chong
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 49
Recognition of mRNA N4 Acetylcytidine (ac4C) by Using Non-Deep vs. Deep Learning
Muhammad Shahid Iqbal, Rashid Abbasi, Md Belal Bin Heyat, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1344-1344
Open Access | Times Cited: 22
Capturing short-range and long-range dependencies of nucleotides for identifying RNA N6-methyladenosine modification sites
Guodong Li, Bo-Wei Zhao, Xiaorui Su, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109625-109625
Closed Access
Machine learning applications in RNA modification sites prediction
Achraf El Allali, Zahra Elhamraoui, Rachid Daoud
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 5510-5524
Open Access | Times Cited: 31
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
A convolution neural network-based computational model to identify the occurrence sites of various RNA modifications by fusing varied features
Muhammad Tahir, Maqsood Hayat, Kil To Chong
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 211, pp. 104233-104233
Closed Access | Times Cited: 14
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
ELMo4m6A: A Contextual Language Embedding-Based Predictor for Detecting RNA N6-Methyladenosine Sites
Yongxian Fan, Guicong Sun, Xiaoyong Pan
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 2, pp. 944-954
Closed Access | Times Cited: 8
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
A deep learning-based computational approach for discrimination of DNA N6-methyladenosine sites by fusing heterogeneous features
Muhammad Tahir, Maqsood Hayat, Imran Ullah, et al.
Chemometrics and Intelligent Laboratory Systems (2020) Vol. 206, pp. 104151-104151
Closed Access | Times Cited: 11
Context-aware dynamic neural computational models for accurate Poly(A) signal prediction
Yanbu Guo, Chaoyang Li, Dongming Zhou, et al.
Neural Networks (2022) Vol. 152, pp. 287-299
Closed 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
Review and Comparative Analysis of Machine Learning-based Predictors for Predicting and Analyzing Anti-angiogenic Peptides
Phasit Charoenkwan, Wararat Chiangjong, Md Mehedi Hasan, et al.
Current Medicinal Chemistry (2021) Vol. 29, Iss. 5, pp. 849-864
Closed Access | Times Cited: 9
Applications of Deep Learning in the Evaluation and Analysis of College Students’ Mental Health
Zhou Lan-feng
Discrete Dynamics in Nature and Society (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 6
MTTLm<sup>6</sup>A: A multi-task transfer learning approach for base-resolution mRNA m<sup>6</sup>A site prediction based on an improved transformer
Honglei Wang, Wenliang Zeng, Xiaoling Huang, et al.
Mathematical Biosciences & Engineering (2023) Vol. 21, Iss. 1, pp. 272-299
Open Access | Times Cited: 3
Intelligent and robust computational prediction model for DNA N4-methylcytosine sites via natural language processing
Muhammd Tahir, Hilal Tayara, Maqsood Hayat, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 217, pp. 104391-104391
Closed Access | Times Cited: 8
Empirical comparison and analysis of machine learning-based predictors for predicting and analyzing of thermophilic proteins.
Phasit Charoenkwan, Nalini Schaduangrat, Md Mehedi Hasan, et al.
PubMed (2022) Vol. 21, pp. 554-570
Closed Access | Times Cited: 5
An Effective Deep Learning-Based Architecture for Prediction of N7-Methylguanosine Sites in Health Systems
Muhammad Tahir, Maqsood Hayat, Rahim Khan, et al.
Electronics (2022) Vol. 11, Iss. 12, pp. 1917-1917
Open Access | Times Cited: 3
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