OpenAlex Citation Counts

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:

Enhanced Dimensionality Reduction Methods for Classifying Malaria Vector Dataset using Decision Tree
Micheal Olaolu Arowolo, Marion O. Adebiyi, Ayodele A. Adebiyi
Sains Malaysiana (2021) Vol. 50, Iss. 9, pp. 2579-2589
Open Access | Times Cited: 5

Showing 5 citing articles:

Predicting clinical outcomes of radiotherapy for head and neck squamous cell carcinoma patients using machine learning algorithms
Tarun Gangil, Amina Beevi Shahabuddin, B. Dinesh Rao, et al.
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 14

Machine learning model for malaria risk prediction based on mutation location of large-scale genetic variation data
Kah Yee Tai, Jasbir Dhaliwal
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 9

Risk assessment of imported malaria in China: a machine learning perspective
Shuo Yang, Ruoyang Li, Shu-ning Yan, et al.
BMC Public Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1

Semantic context driven language descriptions of videos using deep neural network
Dinesh Naik, C. D. Jaidhar
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 4

An efficient No-Line-of-Sight learning approach for Prediction of Static Victim Detection Using Genetic Algorithm and Kth Nearest Neighbor Data Classification
Jiya Adana Enoch, Ilesanmi B. Oluwafemi, F. Ibikunle, et al.
(2024), pp. 1-6
Closed Access

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Requested Article:

Showing 5 citing articles:

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