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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:

Evaluating machine learning methodologies for identification of cancer driver genes
Sharaf J. Malebary, Yaser Daanial Khan
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Machine Learning in Healthcare Analytics: A State-of-the-Art Review
Surajit Das, Samaleswari Pr. Nayak, Biswajit Sahoo, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 8
TOP1 and R-loops facilitate transcriptional DSBs at hypertranscribed cancer driver genes
Osama Hidmi, Sara Oster, Jonathan Monin, et al.
iScience (2024) Vol. 27, Iss. 3, pp. 109082-109082
Open Access | Times Cited: 6
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
Machine learning techniques for identification of carcinogenic mutations, which cause breast adenocarcinoma
Asghar Ali Shah, Hafiz Abid Mahmood Malik, AbdulHafeez Mohammad, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 20
Research on Cancer Prediction and Identification based on Multimodal Medical Image Fusion
Su Diao, Yajie Wan, Shijia Huang, et al.
(2024), pp. 120-124
Closed Access | Times Cited: 4
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: 16
The Sustainable Rural Industrial Development under Entrepreneurship and Deep Learning from Digital Empowerment
Suwei Gao, Xiaobei Yang, Huizhen Long, et al.
Sustainability (2023) Vol. 15, Iss. 9, pp. 7062-7062
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
Aerial low‐altitude remote sensing and deep learning for in‐field disease incidence scoring of virus yellows in sugar beet
Nathan Okole, Facundo Ramón Ispizua Yamati, Roxana Hossain, et al.
Plant Pathology (2024) Vol. 73, Iss. 9, pp. 2310-2324
Open 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
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
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
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: 7
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
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: 2
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
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
m1A-pred: Prediction of Modified 1-methyladenosine Sites in RNA Sequences through Artificial Intelligence
Muhammad Taseer Suleman, Yaser Daanial Khan
Combinatorial Chemistry & High Throughput Screening (2022) Vol. 25, Iss. 14, pp. 2473-2484
Closed Access | Times Cited: 9
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
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
EPIMUTESTR: a nearest neighbor machine learning approach to predict cancer driver genes from the evolutionary action of coding variants
Saeid Parvandeh, Lawrence A. Donehower, Panagiotis Katsonis, et al.
Nucleic Acids Research (2022) Vol. 50, Iss. 12, pp. e70-e70
Open Access | Times Cited: 8
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