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:

SENE: A novel manifold learning approach for distracted driving analysis with spatio-temporal and driver praxeological features
Subhajit Bag, Rahul Golder, Sobhan Sarkar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106332-106332
Closed Access | Times Cited: 6

Showing 6 citing articles:

Diagnosing and categorizing of pulmonary diseases using Deep learning conventional Neural network
N. Sudhir Reddy, V. Khanaa
International Journal of experimental research and review (2023) Vol. 31, Iss. Spl Volume, pp. 12-22
Open Access | Times Cited: 8

A Driving Risk Assessment Framework Considering Driver’s Fatigue State and Distraction Behavior
Jiansong Chen, Qixiang Zhang, Jinxin Chen, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 12, pp. 20120-20136
Closed Access | Times Cited: 1

Face Fatigue Feature Detection Based on Improved D-S Model in Complex Scenes
Jian‐Feng Cai, Xu Liao, Junbo Bai, et al.
IEEE Access (2023) Vol. 11, pp. 101790-101798
Open Access | Times Cited: 4

The The Classification and Segmentation of Pneumonia using Deep Learning Algorithms: A Comparative Study
Vishnu Kumar Mishra, Megha Mishra, Jitendra Sheetlani, et al.
International Journal of experimental research and review (2023) Vol. 36, pp. 76-88
Open Access | Times Cited: 3

A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold
Yanhong Fei, Yingjie Liu, Chentao Jia, et al.
ACM Computing Surveys (2024)
Open Access

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