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:

Fuzzy measure with regularization for gene selection and cancer prediction
Jinfeng Wang, Zhen‐Yu He, Shuaihui Huang, et al.
International Journal of Machine Learning and Cybernetics (2021) Vol. 12, Iss. 8, pp. 2389-2405
Closed Access | Times Cited: 13

Showing 13 citing articles:

BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification
Moloud Abdar, Mohammad Amin Fahami, Satarupa Chakrabarti, et al.
Information Sciences (2021) Vol. 577, pp. 353-378
Closed Access | Times Cited: 76

A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications
Xinlei Zhou, Han Liu, Farhad Pourpanah, et al.
Neurocomputing (2021) Vol. 489, pp. 449-465
Open Access | Times Cited: 48

Self-supervised adversarial adaptation network for breast cancer detection
M. Torabi, Amir Rasouli, Q. M. Jonathan Wu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108489-108489
Open Access | Times Cited: 5

A Hybrid Cracked Tiers Detection System Based on Adaptive Correlation Features Selection and Deep Belief Neural Networks
Ali Mohsin Al-juboori, Ali Hakem Alsaeedi, Riyadh Rahef Nuiaa, et al.
Symmetry (2023) Vol. 15, Iss. 2, pp. 358-358
Open Access | Times Cited: 11

Representation, optimization and generation of fuzzy measures
Gleb Beliakov, Jian‐Zhang Wu, Weiping Ding
Information Fusion (2024) Vol. 106, pp. 102295-102295
Open Access | Times Cited: 4

Exploring the Landscape of Ubiquitous In-Home Health Monitoring: A Comprehensive Survey
Farhad Pourpanah, Ali Etemad
ACM Transactions on Computing for Healthcare (2024) Vol. 5, Iss. 4, pp. 1-43
Open Access | Times Cited: 2

A semisupervised learning model based on fuzzy min–max neural networks for data classification
Farhad Pourpanah, Di Wang, Ran Wang, et al.
Applied Soft Computing (2021) Vol. 112, pp. 107856-107856
Closed Access | Times Cited: 11

Decoding of the coupling between the brain and facial muscle reactions in auditory stimulation
Mirra Soundirarajan, Kamil Kuča, Ondřej Krejcar, et al.
Technology and Health Care (2021) Vol. 30, Iss. 4, pp. 859-868
Closed Access | Times Cited: 10

CoySvM-(GeD): Coyote Optimization-Based Support Vector Machine Classifier for Cancer Classification Using Gene Expression Data
S. Sai Satyanarayana Reddy, Ashwani Kumar, Kayhan Zrar Ghafoor, et al.
Journal of Sensors (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 7

Decoding the coupling between the brain and skin reactions in auditory stimulation by information-based analysis of EEG and GSR signals
NAJMEH PAKNIYAT, Hamidreza Namazi
Technology and Health Care (2021) Vol. 30, Iss. 3, pp. 623-632
Closed Access | Times Cited: 5

Methods for class-imbalanced learning with support vector machines: a review and an empirical evaluation
Salim Rezvani, Farhad Pourpanah, Chee Peng Lim, et al.
Soft Computing (2024) Vol. 28, Iss. 20, pp. 11873-11894
Closed Access

Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey
Farhad Pourpanah, Ali Etemad
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1

Representation, Optimization and Generation of Fuzzy Measures
Gleb Beliakov, Jian‐Zhang Wu, Weiping Ding
(2023)
Closed Access

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