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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:

A novel approach for dimension reduction of microarray
Rabia Musheer Aziz, Chandan Kumar Verma, Namita Srivastava
Computational Biology and Chemistry (2017) Vol. 71, pp. 161-169
Closed Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Feature dimensionality reduction: a review
Weikuan Jia, Meili Sun, Jian Lian, et al.
Complex & Intelligent Systems (2022) Vol. 8, Iss. 3, pp. 2663-2693
Open Access | Times Cited: 411
A Survey on Hybrid Feature Selection Methods in Microarray Gene Expression Data for Cancer Classification
Nada Almugren, Hala Alshamlan
IEEE Access (2019) Vol. 7, pp. 78533-78548
Open Access | Times Cited: 183
Applications and Techniques of Machine Learning in Cancer Classification: A Systematic Review
Abrar Yaqoob, Rabia Musheer Aziz, Navneet Kumar Verma
Human-Centric Intelligent Systems (2023) Vol. 3, Iss. 4, pp. 588-615
Open Access | Times Cited: 60
A Review on Nature-Inspired Algorithms for Cancer Disease Prediction and Classification
Abrar Yaqoob, Rabia Musheer Aziz, Navneet Kumar Verma, et al.
Mathematics (2023) Vol. 11, Iss. 5, pp. 1081-1081
Open Access | Times Cited: 56
Optimizing Gene Selection and Cancer Classification with Hybrid Sine Cosine and Cuckoo Search Algorithm
Abrar Yaqoob, Navneet Kumar Verma, Rabia Musheer Aziz
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Closed Access | Times Cited: 36
Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine
Chuanze Kang, Yanhao Huo, Lihui Xin, et al.
Journal of Theoretical Biology (2018) Vol. 463, pp. 77-91
Closed Access | Times Cited: 112
Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets
Nicolas Sompairac, Petr V. Nazarov, Urszula Czerwińska, et al.
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 18, pp. 4414-4414
Open Access | Times Cited: 81
Deep learning techniques for cancer classification using microarray gene expression data
Surbhi Gupta, Manoj Gupta, Mohammad Shabaz, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 54
Gene reduction and machine learning algorithms for cancer classification based on microarray gene expression data: A comprehensive review
Sarah Osama, Hassan Shaban, Abdelmgeid A. Ali
Expert Systems with Applications (2022) Vol. 213, pp. 118946-118946
Closed Access | Times Cited: 52
A Survey of Machine Learning Approaches Applied to Gene Expression Analysis for Cancer Prediction
Mahmood Khalsan, Lee R. Machado, Eman S. Al-Shamery, et al.
IEEE Access (2022) Vol. 10, pp. 27522-27534
Open Access | Times Cited: 45
Nature-inspired metaheuristics model for gene selection and classification of biomedical microarray data
Rabia Musheer Aziz
Medical & Biological Engineering & Computing (2022) Vol. 60, Iss. 6, pp. 1627-1646
Closed Access | Times Cited: 43
Application of nature inspired soft computing techniques for gene selection: a novel frame work for classification of cancer
Rabia Musheer Aziz
Soft Computing (2022) Vol. 26, Iss. 22, pp. 12179-12196
Open Access | Times Cited: 38
Machine Learning-based Soft Computing Regression Analysis Approach for Crime Data Prediction
Rabia Musheer Aziz, Aftab Hussain, Prajwal Sharma, et al.
Karbala International Journal of Modern Science (2022) Vol. 8, Iss. 1, pp. 1-19
Open Access | Times Cited: 37
Hybrid Filter and Genetic Algorithm-Based Feature Selection for Improving Cancer Classification in High-Dimensional Microarray Data
Waleed Ali, Faisal Saeed
Processes (2023) Vol. 11, Iss. 2, pp. 562-562
Open Access | Times Cited: 34
Novel Cuckoo Search-Based Metaheuristic Approach for Deep Learning Prediction of Depression
Khurram Jawad, Rajul Mahto, Aryan Das, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5322-5322
Open Access | Times Cited: 33
Enhancing Feature Selection Through Metaheuristic Hybrid Cuckoo Search and Harris Hawks Optimization for Cancer Classification
Abrar Yaqoob, Navneet Kumar Verma, Rabia Musheer Aziz, et al.
(2024), pp. 95-134
Closed Access | Times Cited: 13
A hybrid gene selection method for microarray recognition
Alok Kumar Shukla, Pradeep Singh, Manu Vardhan
Journal of Applied Biomedicine (2018) Vol. 38, Iss. 4, pp. 975-991
Closed Access | Times Cited: 67
Artificial Neural Network Classification of High Dimensional Data with Novel Optimization Approach of Dimension Reduction
Rabia Musheer Aziz, Chandan Kumar Verma, Namita Srivastava
Annals of Data Science (2018) Vol. 5, Iss. 4, pp. 615-635
Closed Access | Times Cited: 62
Computer vision model with novel cuckoo search based deep learning approach for classification of fish image
Rabia Musheer Aziz, Nishq Poorav Desai, Mohammed Farhan Baluch
Multimedia Tools and Applications (2022) Vol. 82, Iss. 3, pp. 3677-3696
Closed Access | Times Cited: 29
A parallel metaheuristic approach for ensemble feature selection based on multi-core architectures
Neveen Mohammed Hijazi, Hossam Faris, Ibrahim Aljarah
Expert Systems with Applications (2021) Vol. 182, pp. 115290-115290
Closed Access | Times Cited: 34
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
Cognizable crime rate prediction and analysis under Indian penal code using deep learning with novel optimization approach
Rabia Musheer Aziz, Aftab Hussain, Prajwal Sharma
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 22663-22700
Closed Access | Times Cited: 13
A Hybrid Feature-Selection Method Based on mRMR and Binary Differential Evolution for Gene Selection
Kun Yu, Wei Li, Weidong Xie, et al.
Processes (2024) Vol. 12, Iss. 2, pp. 313-313
Open Access | Times Cited: 4
An ensemble soft weighted gene selection-based approach and cancer classification using modified metaheuristic learning
Niloofar Tavasoli, Khosro Rezaee, Mohammadreza Momenzadeh, et al.
Journal of Computational Design and Engineering (2021) Vol. 8, Iss. 4, pp. 1172-1189
Open Access | Times Cited: 28
A new hybrid algorithm for three-stage gene selection based on whale optimization
Junjian Liu, Chiwen Qu, Lupeng Zhang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12
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