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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:

MF-GARF: Hybridizing Multiple Filters and GA Wrapper for Feature Selection of Microarray Cancer Datasets
Pakizah Saqib, Usman Qamar, Reda Ayesha Khan, et al.
(2020), pp. 517-524
Closed Access | Times Cited: 11

Showing 11 citing articles:

Microarray cancer feature selection: Review, challenges and research directions
Moshood A. Hambali, Tinuke Omolewa Oladele, Kayode S. Adewole
International Journal of Cognitive Computing in Engineering (2020) Vol. 1, pp. 78-97
Open Access | Times Cited: 69
Improved multi-layer binary firefly algorithm for optimizing feature selection and classification of microarray data
Weidong Xie, Linjie Wang, Kun Yu, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104080-104080
Closed Access | Times Cited: 26
Swarm Intelligence Algorithms in Gene Selection Profile Based on Classification of Microarray Data: A Review
Alan Fuad Jahwar, Nawzat S. Ahmed
Journal of Applied Science and Technology Trends (2021) Vol. 2, Iss. 01, pp. 01-09
Open Access | Times Cited: 22
Hybrid Multiple Filter Embedded Political Optimizer for Feature Selection
Bibhuprasad Sahu, Amrutanshu Panigrahi, Saroja Kumar Rout, et al.
2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) (2022), pp. 1-6
Closed Access | Times Cited: 13
A Selected Deep Learning Cancer Prediction Framework
Nadia G. Elseddeq, Sally M. Elghamrawy, Mofreh Salem, et al.
IEEE Access (2021) Vol. 9, pp. 151476-151492
Open Access | Times Cited: 7
A Fast Accurate Deep Learning Framework for Prediction of All Cancer Types
Magdy M. Fadel, Nadia G. Elseddeq, Reham Arnous, et al.
IEEE Access (2022) Vol. 10, pp. 122586-122600
Open Access | Times Cited: 4
Optimizing the Hybrid Feature Selection in the DNA Microarray for Cancer Diagnosis Using Fuzzy Entropy and the Giza Pyramid Construction Algorithm
Masumeh Motevalli Alamoti, Madjid Khalilian, Azam Bastanfard
International Journal of Computational Intelligence and Applications (2024)
Closed Access
An intelligent system framework for cancer prediction
Gundra Prudvi, B V A N S S Prabhakar Rao
AIP conference proceedings (2023) Vol. 2948, pp. 040001-040001
Closed Access
Improved Multi-Layer Binary Firefly Algorithm for Optimizing Feature Selection and Classification of Microarray Data
Weidong Xie, Linjie Wang, Kun Yu, et al.
SSRN Electronic Journal (2022)
Closed Access
Binary Bat Algorithm with Dynamic Bayesian Network for Feature Selection on Cancer Gene Expression Profiles
Farzana Kabir Ahmad, Siti Sakira Kamaruddin, Aysar Thamer Naser Tuaimah
Lecture notes in networks and systems (2022), pp. 150-159
Closed Access
Classification of Gene Expression Data Using Feature Selection Based on Type Combination Approach Model With Advanced Feature Selection Technology
G. M. Siddesh, T. Gururaj
International Journal of Cognitive Informatics and Natural Intelligence (2021) Vol. 15, Iss. 4, pp. 1-18
Open Access
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