Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 14 citing articles:

Leveraging Deep Learning and Convolutional Neural Networks for RNA Structure Prediction
J. Ashok, M. Satya Narayana, Prateek Prasanna, et al.
SSRN Electronic Journal (2025)
Closed Access
A brief review of machine learning methods for RNA methylation sites prediction
Hong Wang, Shuyu Wang, Yong Zhang, et al.
Methods (2022) Vol. 203, pp. 399-421
Closed Access | Times Cited: 20
A novel stacking-based predictor for accurate prediction of antimicrobial peptides
Sameera Kanwal, Roha Arif, Saeed Ahmed, et al.
Journal of Biomolecular Structure and Dynamics (2024), pp. 1-12
Closed Access | Times Cited: 3
BiPSTP: Sequence feature encoding method for identifying different RNA modifications with bidirectional position-specific trinucleotides propensities
Mingzhao Wang, Haider Ali, Yandi Xu, et al.
Journal of Biological Chemistry (2024) Vol. 300, Iss. 4, pp. 107140-107140
Open Access | Times Cited: 1
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
A CNN based m5c RNA methylation predictor
Irum Aslam, Sajid Shah, Saima Jabeen, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
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
Protein Sequence Classification with LetNet-5 and VGG16
Zheng Tao, Zhen Yang, Baitong Chen, et al.
Lecture notes in computer science (2022), pp. 687-696
Closed Access | Times Cited: 4
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
Comprehensive Review and Assessment of Computational Methods for Prediction of N6-Methyladenosine Sites
Zhengtao Luo, Liyi Yu, Zhaochun Xu, et al.
Biology (2024) Vol. 13, Iss. 10, pp. 777-777
Open Access
Deep Learning Based Convolute Neural Approach in The Prediction of RNA Structure
Rahul Mishra
(2024), pp. 86-90
Closed Access
Oxides Classification with Random Forests
Kai Xiao, Baitong Chen, Wenzheng Bao, et al.
Lecture notes in computer science (2022), pp. 680-686
Closed Access | Times Cited: 2
DNA/RNA sequence feature representation algorithms for predicting methylation-modified sites
Juanying Xie, Mingzhao Wang, Sheng‐Quan Xu
Scientia Sinica Vitae (2022) Vol. 53, Iss. 6, pp. 841-875
Closed Access | Times Cited: 2
Deep Learning Based Convolute Neural Approach in the Prediction of RNA Structure
J. Ashok, M. Satya Narayana, Prateek Prasanna, et al.
(2023)
Open Access
Page 1

Scroll to top