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:

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

Showing 11 citing articles:

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

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

Omics Data and Data Representations for Deep Learning-Based Predictive Modeling
Stefanos Tsimenidis, Εleni Vrochidou, George A. Papakostas
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 20, pp. 12272-12272
Open Access | Times Cited: 16

DNA-MP: a generalized DNA modifications predictor for multiple species based on powerful sequence encoding method
Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Ahtisham Fazeel, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 15

i4mC-Deep: An Intelligent Predictor of N4-Methylcytosine Sites Using a Deep Learning Approach with Chemical Properties
Waleed Alam, Hilal Tayara, Kil To Chong
Genes (2021) Vol. 12, Iss. 8, pp. 1117-1117
Open Access | Times Cited: 17

MuLan-Methyl - Multiple Transformer-based Language Models for Accurate DNA Methylation Prediction
Wenhuan Zeng, Anupam Gautam, Daniel H. Huson
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6

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

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

Evolutionary deep learning techniques for DNA cancer data classification
Noor Al-Huda K. Hussein, Basad Al-Sarray
AIP conference proceedings (2024) Vol. 3229, pp. 040009-040009
Closed Access

DNA based service data security in cloud computing environment
Amisha M. Patel, Zhongyan Ge, Indra Seher, et al.
(2021) Vol. 1478, pp. 1-11
Closed Access

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