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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:

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

Showing 11 citing articles:

Deep learning ensemble 2D CNN approach towards the detection of lung cancer
Asghar Ali Shah, Hafiz Abid Mahmood Malik, AbdulHafeez Muhammad, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 77
A Systematic Literature Review on Machine Learning and Deep Learning Methods for Semantic Segmentation
Ali Sohail, Naeem A. Nawaz, Asghar Ali Shah, et al.
IEEE Access (2022) Vol. 10, pp. 134557-134570
Closed Access | Times Cited: 38
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
Application of logistic regression, support vector machine and random forest on the effects of titanium dioxide nanoparticles using macroalgae in treatment of certain risk factors associated with kidney injuries
Jianxin Tu, Lingzhen Hu, Khidhair Jasim Mohammed, et al.
Environmental Research (2022) Vol. 220, pp. 115167-115167
Closed Access | Times Cited: 10
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
Gluconeogenesis unraveled: A proteomic Odyssey with machine learning
Seher Ansar Khawaja, Fahad Alturise, Tamim Alkhalifah, et al.
Methods (2024)
Closed 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
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
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
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
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
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