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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 comparative study of nature-inspired metaheuristic algorithms using a three-phase hybrid approach for gene selection and classification in high-dimensional cancer datasets
Shilan S. Hameed, Wan Haslina Hassan, Liza Abdul Latiff, et al.
Soft Computing (2021) Vol. 25, Iss. 13, pp. 8683-8701
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

InSiNet: a deep convolutional approach to skin cancer detection and segmentation
Hatice Çatal Reis, Veysel Turk, Kourosh Khoshelham, et al.
Medical & Biological Engineering & Computing (2022) Vol. 60, Iss. 3, pp. 643-662
Closed Access | Times Cited: 89
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
Hybrid binary arithmetic optimization algorithm with simulated annealing for feature selection in high-dimensional biomedical data
Elham Pashaei, Elnaz Pashaei
The Journal of Supercomputing (2022) Vol. 78, Iss. 13, pp. 15598-15637
Closed Access | Times Cited: 34
Leopard seal optimization (LSO): A natural inspired meta-heuristic algorithm
Asmaa H. Rabie, Nehal A. Mansour, Ahmed I. Saleh
Communications in Nonlinear Science and Numerical Simulation (2023) Vol. 125, pp. 107338-107338
Closed Access | Times Cited: 21
Red piranha optimization (RPO): a natural inspired meta-heuristic algorithm for solving complex optimization problems
Asmaa H. Rabie, Ahmed I. Saleh, Nehal A. Mansour
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 14, Iss. 6, pp. 7621-7648
Open Access | Times Cited: 16
Cuckoo Search-Based Optimization for Cancer Classification: A New Hybrid Approach
Rabia Musheer Aziz
Journal of Computational Biology (2022) Vol. 29, Iss. 6, pp. 565-584
Closed Access | Times Cited: 25
BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches
Pinakshi Panda, Sukant Kishoro Bisoy, Amrutanshu Panigrahi, et al.
Frontiers in Genetics (2025) Vol. 15
Open Access
Hybrid metaheuristic optimization for detecting and diagnosing noncommunicable diseases
Saleem Malik, S. Gopal Krishna Patro, Chandrakanta Mahanty, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Continuous Metaheuristics for Binary Optimization Problems: An Updated Systematic Literature Review
Marcelo Becerra, José Lemus-Romani, Felipe Cisternas-Caneo, et al.
Mathematics (2022) Vol. 11, Iss. 1, pp. 129-129
Open Access | Times Cited: 20
Improving and comparing performance of machine learning classifiers optimized by swarm intelligent algorithms for code smell detection
Shivani Jain, Anju Saha
Science of Computer Programming (2024) Vol. 237, pp. 103140-103140
Closed Access | Times Cited: 3
Hybrid Multifilter Ensemble Based Feature Selection Model from Microarray Cancer Datasets Using GWO with Deep Learning
Bibhuprasad Sahu, S. Dash
(2023), pp. 1-6
Closed Access | Times Cited: 7
Hybrid whale algorithm with evolutionary strategies and filtering for high-dimensional optimization: Application to microarray cancer data
Rahila Hafiz, Sana Saeed
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0295643-e0295643
Open Access | Times Cited: 2
Feature Subset Selection for High-Dimensional, Low Sampling Size Data Classification Using Ensemble Feature Selection With a Wrapper-Based Search
Ashis Mandal, Md Nadim, Hasi Saha, et al.
IEEE Access (2024) Vol. 12, pp. 62341-62357
Open Access | Times Cited: 2
Machine Learning Techniques for Autism Spectrum Disorder: current trends and future directions
Kainat Khan, Rahul Katarya
(2023) Vol. 100, pp. 1-7
Closed Access | Times Cited: 5
A Hybrid Feature Selection Method for Human Activity Recognition
Redouane Saifi, Achour Achroufene, Hocine Attoumi, et al.
(2024) Vol. 3, pp. 1-7
Closed Access | Times Cited: 1
Application of Nature Inspired Soft Computing Techniques for Gene Selection: A Novel Frame Work for Classification of Cancer.
Rabia Musheer Aziz
Research Square (Research Square) (2022)
Open Access | Times Cited: 4
Hybrid Adaptive Moth-Flame Optimizer and Opposition-Based Learning for Training Multilayer Perceptrons
Benedict Jun
Studies in computational intelligence (2022), pp. 273-319
Closed Access | Times Cited: 3
Role of Pre-processing in Gene Selection Using DNA Microarray Gene Expression Data
Tanusri Ghosh, Sriyankar Acharyya
Studies in autonomic, data-driven and industrial computing (2024), pp. 97-111
Closed Access
K-means clustering hybridized with nature inspired optimization algorithm: A review
Afroj Alam, Mohd Muqeem, Muhammad Kalamuddin Ahamad, et al.
AIP conference proceedings (2024) Vol. 3063, pp. 020026-020026
Closed Access
Enhancing Operational Efficiency and Sustainability at the Karnafuli Hydro Power Station Through Advanced Forecasting and Multi-Objective Optimization Techniques
Ifaz Ahmed Adan, Nazmul Reza Rahat, Nipu Kumar Das
(2024)
Closed Access
Ensemble Classification Model With CFS‐IGWO–Based Feature Selection for Cancer Detection Using Microarray Data
Pinakshi Panda, Sukant Kishoro Bisoy, Sandeep Kautish, et al.
International Journal of Telemedicine and Applications (2024) Vol. 2024, Iss. 1
Open Access
Artificial Bee Colony Algorithms in Gene Expression Studies: A Case Study
Shaban Ahmad, Khushnuma Tanveer, Nagmi Bano, et al.
Springer tracts in nature-inspired computing (2024), pp. 159-182
Closed Access
Hybrid Multi-filter and Harmony Search Algorithm-Based Gene Selection Method for Cancer Classification
Bibhuprasad Sahu, Mohammad Gouse Galety
Lecture notes in electrical engineering (2022), pp. 679-688
Closed Access | Times Cited: 1
BCOOT-Based Binary Optimization for Microarray-Based Cancer Gene Selection and Classification: A Comparative Study
Abrar Yaqoob, Navneet Kumar Verma, Rabia Musheer Aziz
Research Square (Research Square) (2023)
Open Access
A comparative study of thyroid data classification based on GA, BPSO, and ACO metaheuristics approaches
Anxhela Gjecka, Majlinda Fetaji
(2023), pp. 5-5
Closed Access
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