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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:

iHyd-LysSite (EPSV): Identifying Hydroxylysine Sites in Protein Using Statistical Formulation by Extracting Enhanced Position and Sequence Variant Feature Technique
Muhammad Khalid Mahmood, Asma Ehsan, Yaser Daanial Khan, et al.
Current Genomics (2020) Vol. 21, Iss. 7, pp. 536-545
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

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: 23
Hemolytic-Pred: A machine learning-based predictor for hemolytic proteins using position and composition-based features
Gulnaz Perveen, Fahad Alturise, Tamim Alkhalifah, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 9
IGPred‐HDnet: Prediction of Immunoglobulin Proteins Using Graphical Features and the Hierarchal Deep Learning‐Based Approach
Ali Zakir, Fahad Alturise, Tamim Alkhalifah, et al.
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 8
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
Ensemble Learning for Hormone Binding Protein Prediction: A Promising Approach for Early Diagnosis of Thyroid Hormone Disorders in Serum
Ahmad Hassan Butt, Tamim Alkhalifah, Fahad Alturise, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1940-1940
Open Access | Times Cited: 8
A machine learning technique for identifying DNA enhancer regions utilizing CIS-regulatory element patterns
Ahmad Hassan Butt, Tamim Alkhalifah, Fahad Alturise, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 12
Deep Learning Approaches for Detection of Breast Adenocarcinoma Causing Carcinogenic Mutations
Asghar Ali Shah, Fahad Alturise, Tamim Alkhalifah, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 19, pp. 11539-11539
Open Access | Times Cited: 12
PseU-Pred: An ensemble model for accurate identification of pseudouridine sites
Muhammad Taseer Suleman, Yaser Daanial Khan
Analytical Biochemistry (2023) Vol. 676, pp. 115247-115247
Closed Access | Times Cited: 6
Identification of stress response proteins through fusion of machine learning models and statistical paradigms
Ebraheem Alzahrani, Wajdi Alghamdi, Malik Zaka Ullah, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 14
DHU-Pred: accurate prediction of dihydrouridine sites using position and composition variant features on diverse classifiers
Muhammad Taseer Suleman, Tamim Alkhalifah, Fahad Alturise, et al.
PeerJ (2022) Vol. 10, pp. e14104-e14104
Open Access | Times Cited: 9
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
iTAGPred: A Two-Level Prediction Model for Identification of Angiogenesis and Tumor Angiogenesis Biomarkers
Khalid Allehaibi, Yaser Daanial Khan, Sher Afzal Khan
Applied Bionics and Biomechanics (2021) Vol. 2021, pp. 1-15
Open Access | Times Cited: 11
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
iDLB-Pred: identification of disordered lipid binding residues in protein sequences using convolutional neural network
Sharaf J. Malebary, Nashwan Alromema
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
EDLM: Ensemble Deep Learning Model to Detect Mutation for the Early Detection of Cholangiocarcinoma
Asghar Ali Shah, Fahad Alturise, Tamim Alkhalifah, et al.
Genes (2023) Vol. 14, Iss. 5, pp. 1104-1104
Open Access | Times Cited: 3
Rheumatoid Arthritis Genes Classification Using ML Classifiers
Anam Sana, Seher Ansar Khawaja, Muhammad Shoaib Farooq
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
Deep attention based Proto-oncogene prediction and Oncogene transition possibility detection using moments and position based amino acid features
M Vijayalakshmi, M. Vallinayagi
Scientific and technical journal of information technologies mechanics and optics (2024) Vol. 24, Iss. 1, pp. 101-111
Open Access
A Framework for Prediction of Oncogenomic Progression Aiding Personalized Treatment of Gastric Cancer
Fahad Alotaibi, Yaser Daanial Khan
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2291-2291
Open 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
A Survey of DDoS Attack Detection Strategies in Cloud
Muhammad Ilyas
VFAST Transactions on Software Engineering (2020) Vol. 8, Iss. 1, pp. 55-63
Closed Access | Times Cited: 2
Protien-DNA binding sites Prediction
Sania Srhar, Amna Arshad, Ahsan Raza
2021 International Conference on Innovative Computing (ICIC) (2021), pp. 1-10
Closed Access | Times Cited: 2
P systems with protein rules
Yara Hamshawi, Florin-Daniel Bîlbîe, Andrei Păun, et al.
Journal of the Franklin Institute (2022) Vol. 359, Iss. 8, pp. 3779-3807
Closed Access | Times Cited: 1
A Text Mining and Machine Learning Protocol for Extracting Posttranslational Modifications of Proteins from PubMed: A Special Focus on Glycosylation, Acetylation, Methylation, Hydroxylation, and Ubiquitination
Krishnamurthy Arumugam, S Malathi, Dheepa Anand, et al.
Methods in molecular biology (2022), pp. 179-202
Closed Access | Times Cited: 1
SulfoTyr-PseAAC: A Machine Learning Framework to Identify Sulfotyrosine Sites
Asghar Ali Shah, Yaser Daanial Khan
2021 International Conference on Information Science and Communications Technologies (ICISCT) (2022), pp. 1-5
Closed Access | Times Cited: 1
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