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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:

A comprehensive tool for accurate identification of methyl-Glutamine sites
Sharaf J. Malebary, Ebraheem Alzahrani, Yaser Daanial Khan
Journal of Molecular Graphics and Modelling (2021) Vol. 110, pp. 108074-108074
Closed Access | Times Cited: 11

Showing 11 citing articles:

Mini-review: Recent advances in post-translational modification site prediction based on deep learning
Lingkuan Meng, Wai‐Sum Chan, Lei Huang, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 3522-3532
Open Access | Times Cited: 31
LBCEPred: a machine learning model to predict linear B-cell epitopes
Wajdi Alghamdi, Muhammad Attique, Ebraheem Alzahrani, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 24
ORI-Deep: improving the accuracy for predicting origin of replication sites by using a blend of features and long short-term memory network
Mahwish Shahid, M. Ilyas, Waqar Hussain, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 17
DeepDBS: Identification of DNA-binding sites in protein sequences by using deep representations and random forest
Yaser Daanial Khan, Tamim Alkhalifah, Fahad Alturise, et al.
Methods (2024) Vol. 231, pp. 26-36
Closed Access | Times Cited: 3
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
Evaluation of deep learning techniques for identification of sarcoma-causing carcinogenic mutations
Asghar Ali Shah, Fahad Alturise, Tamim Alkhalifah, et al.
Digital Health (2022) Vol. 8, pp. 205520762211337-205520762211337
Open Access | Times Cited: 11
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
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
Cloud application importance and challenges: A Systematic Review
Muhammad Zunnurain Hussain, Muhammad Zulkifl Hasan, Nadeem Sarwar, et al.
2021 International Conference on Innovative Computing (ICIC) (2021), pp. 1-6
Closed Access | Times Cited: 4
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
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