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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:

DNAPred_Prot: Identification of DNA-Binding Proteins Using Composition- and Position-Based Features
Omar Barukab, Yaser Daanial Khan, Sher Afzal Khan, et al.
Applied Bionics and Biomechanics (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 13

Showing 13 citing articles:

iDHU-Ensem: Identification of dihydrouridine sites through ensemble learning models
Muhammad Taseer Suleman, Fahad Alturise, Tamim Alkhalifah, et al.
Digital Health (2023) Vol. 9, pp. 205520762311659-205520762311659
Open Access | Times Cited: 8
BBB-PEP-prediction: improved computational model for identification of blood–brain barrier peptides using blending position relative composition specific features and ensemble modeling
Ansar Naseem, Fahad Alturise, Tamim Alkhalifah, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 8
ProkDBP: Toward more precise identification of prokaryoticDNAbinding proteins
Upendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Protein Science (2024) Vol. 33, Iss. 6
Closed Access | Times Cited: 2
An intelligent model for prediction of abiotic stress-responsive microRNAs in plants using statistical moments based features and ensemble approaches
Ansar Naseem, Yaser Daanial Khan
Methods (2024) Vol. 228, pp. 65-79
Closed Access | Times Cited: 2
DeepBCE: Evaluation of deep learning models for identification of immunogenic B-cell epitopes
Muhammad Attique, Tamim Alkhalifah, Fahad Alturise, et al.
Computational Biology and Chemistry (2023) Vol. 104, pp. 107874-107874
Open Access | Times Cited: 5
DBPMod: a supervised learning model for computational recognition of DNA-binding proteins in model organisms
Upendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Briefings in Functional Genomics (2023) Vol. 23, Iss. 4, pp. 363-372
Closed Access | Times Cited: 4
m5c-iDeep: 5-Methylcytosine sites identification through deep learning
Sharaf J. Malebary, Nashwan Alromema, Muhammad Taseer Suleman, et al.
Methods (2024) Vol. 230, pp. 80-90
Closed Access | Times Cited: 1
Machine Learning for the Discovery of DNA‐binding Proteins in Plants
Upendra Kumar Pradhan, Prabina Kumar Meher, P. K. Gupta
(2024), pp. 299-319
Closed Access
m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models
Muhammad Taseer Suleman, Fahad Alturise, Tamim Alkhalifah, et al.
BioData Mining (2024) Vol. 17, Iss. 1
Open Access
ESM-BBB-Pred: a fine-tuned ESM 2.0 and deep neural networks for the identification of blood–brain barrier peptides
Ansar Naseem, Fahad Alturise, Tamim Alkhalifah, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access
Comment on ‘Thermodynamic database supports deciphering protein–nucleic acid interactions’
M. Michael Gromiha, Kannan Harini
Trends in biotechnology (2023) Vol. 41, Iss. 8, pp. 988-989
Closed Access | Times Cited: 1
An analytical study on the identification of N-linked glycosylation sites using machine learning model
Muhammad Aizaz Akmal, Muhammad Awais, Shoaib Muhammad, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e1069-e1069
Open Access | Times Cited: 2
Comparative Analysis on Alignment-Based and Pretrained Feature Representations for the Identification of DNA-Binding Proteins
Die Chen, Hua Zhang, Zeqi Chen, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-14
Open Access
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