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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:

ProtoPred: Advancing Oncological Research Through Identification of Proto-Oncogene Proteins
Sharaf J. Malebary, Rabia Khan, Yaser Daanial Khan
IEEE Access (2021) Vol. 9, pp. 68788-68797
Open Access | Times Cited: 49

Showing 1-25 of 49 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: 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
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: 9
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
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
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
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
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
Identification of 6-methyladenosine sites using novel feature encoding methods and ensemble models
Nashwan Alromema, Muhammad Taseer Suleman, Sharaf J. Malebary, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open 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
Res-GCN: identification of protein phosphorylation sites using graph convolutional network and residual network
Minghui Wang, Jihua Jia, Fei Xu, et al.
Computational Biology and Chemistry (2024) Vol. 112, pp. 108183-108183
Closed Access | Times Cited: 2
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
RCCC_Pred: A Novel Method for Sequence-Based Identification of Renal Clear Cell Carcinoma Genes through DNA Mutations and a Blend of Features
Arfa Hassan, Tamim Alkhalifah, Fahad Alturise, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3036-3036
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
Recent advancement of hybrid nanoparticles synthesis and applications in lung cancer management
Apurba Gouri, Angela Sharma, Mrunalini Boddu, et al.
Elsevier eBooks (2024), pp. 179-212
Closed Access | Times Cited: 1
Gluconeogenesis unraveled: A proteomic Odyssey with machine learning
Seher Ansar Khawaja, Fahad Alturise, Tamim Alkhalifah, et al.
Methods (2024)
Closed Access | Times Cited: 1
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
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
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
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 CNN-based Deep Learning Framework for Driver’s Drowsiness Detection
Ali Sohail, Asghar Ali Shah, Sheeba Ilyas, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 3
Open Access
DEL-Thyroid: deep ensemble learning framework for detection of thyroid cancer progression through genomic mutation
Asghar Ali Shah, Ali Daud, Amal Bukhari, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access
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