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:

An Effective Feature Selection Model Using Hybrid Metaheuristic Algorithms for IoT Intrusion Detection
Saif S. Kareem, Reham R. Mostafa, Fatma A. Hashim, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1396-1396
Open Access | Times Cited: 124

Showing 1-25 of 124 citing articles:

IoT Intrusion Detection Using Machine Learning with a Novel High Performing Feature Selection Method
Khalid Albulayhi, Qasem Abu Al‐Haija, Suliman A. Alsuhibany, et al.
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 5015-5015
Open Access | Times Cited: 115

Advances in nature-inspired metaheuristic optimization for feature selection problem: A comprehensive survey
Maha Nssibi, Ghaith Manita, Ouajdi Korbaa
Computer Science Review (2023) Vol. 49, pp. 100559-100559
Closed Access | Times Cited: 74

Intrusion detection system for large-scale IoT NetFlow networks using machine learning with modified Arithmetic Optimization Algorithm
F.M.A. Salam, Sharif Naser Makhadmeh, Mohammed Awad, et al.
Internet of Things (2023) Vol. 22, pp. 100819-100819
Closed Access | Times Cited: 48

An improved PIO feature selection algorithm for IoT network intrusion detection system based on ensemble learning
Orieb Abu Alghanam, Wesam Almobaideen, Maha Saadeh, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 118745-118745
Closed Access | Times Cited: 65

A New Meta-Heuristics Data Clustering Algorithm Based on Tabu Search and Adaptive Search Memory
Youseef Alotaibi
Symmetry (2022) Vol. 14, Iss. 3, pp. 623-623
Open Access | Times Cited: 62

Boosting chameleon swarm algorithm with consumption AEO operator for global optimization and feature selection
Reham R. Mostafa, Ahmed A. Ewees, Rania M. Ghoniem, et al.
Knowledge-Based Systems (2022) Vol. 246, pp. 108743-108743
Closed Access | Times Cited: 54

Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach
Miloš Dobrojević, Miodrag Živković, Amit Chhabra, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1405-e1405
Open Access | Times Cited: 37

A novel optimization based deep learning with artificial intelligence approach to detect intrusion attack in network system
S. Siva Shankar, Bùi Thanh Hùng, Prąsun Chakrabarti, et al.
Education and Information Technologies (2023) Vol. 29, Iss. 4, pp. 3859-3883
Closed Access | Times Cited: 35

Breast cancer classification using Deep Q Learning (DQL) and gorilla troops optimization (GTO)
Saad Almutairi, S. Manimurugan, Byung‐Gyu Kim, et al.
Applied Soft Computing (2023) Vol. 142, pp. 110292-110292
Closed Access | Times Cited: 29

A novel firefly algorithm approach for efficient feature selection with COVID-19 dataset
Nebojša Bačanin, K. Venkatachalam, Timea Bezdan, et al.
Microprocessors and Microsystems (2023) Vol. 98, pp. 104778-104778
Open Access | Times Cited: 28

Artificial Ecosystem-Based Optimization with Dwarf Mongoose Optimization for Feature Selection and Global Optimization Problems
Ibrahim Al-Shourbaji, Pramod Kachare, Sajid Fadlelseed, et al.
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 21

S-shaped grey wolf optimizer-based FOX algorithm for feature selection
Afi Kekeli Feda, Moyosore Adegboye, Oluwatayomi Rereloluwa Adegboye, et al.
Heliyon (2024) Vol. 10, Iss. 2, pp. e24192-e24192
Open Access | Times Cited: 10

Improved Binary Meerkat Optimization Algorithm for efficient feature selection of supervised learning classification
Reda M. Hussien, Amr A. Abohany, Amr A. Abd El-Mageed, et al.
Knowledge-Based Systems (2024) Vol. 292, pp. 111616-111616
Closed Access | Times Cited: 9

Multi-objective optimization algorithms for intrusion detection in IoT networks: A systematic review
Shubhkirti Sharma, Vijay Kumar, Kamlesh Dutta
Internet of Things and Cyber-Physical Systems (2024) Vol. 4, pp. 258-267
Open Access | Times Cited: 8

A Novel Hybrid Feature Selection with Cascaded LSTM: Enhancing Security in IoT Networks
Karthic Sundaram, Yuvaraj Natarajan, Anitha Perumalsamy, et al.
Wireless Communications and Mobile Computing (2024) Vol. 2024, pp. 1-15
Open Access | Times Cited: 8

Recent endeavors in machine learning-powered intrusion detection systems for the Internet of Things
D. Manivannan
Journal of Network and Computer Applications (2024) Vol. 229, pp. 103925-103925
Closed Access | Times Cited: 8

Preserving Privacy in Association Rule Mining Using Metaheuristic-Based Algorithms: A Systematic Literature Review
Shahad Aljehani, Youseef Alotaibi
IEEE Access (2024) Vol. 12, pp. 21217-21236
Open Access | Times Cited: 7

Effective Feature Selection Strategy for Supervised Classification based on an Improved Binary Aquila Optimization Algorithm
Amr A. Abd El-Mageed, Amr A. Abohany, Ahmed Elashry
Computers & Industrial Engineering (2023) Vol. 181, pp. 109300-109300
Closed Access | Times Cited: 16

Intrusion Detection using hybridized Meta-heuristic techniques with Weighted XGBoost Classifier
Ghulam Mohi-Ud-Din, Lin Zhijun, Jiangbin Zheng, et al.
Expert Systems with Applications (2023) Vol. 232, pp. 120596-120596
Closed Access | Times Cited: 16

A Systematic Review of IoT Security: Research Potential, Challenges, and Future Directions
Wen Fei, Hiroyuki Ohno, Srinivas Sampalli
ACM Computing Surveys (2023) Vol. 56, Iss. 5, pp. 1-40
Closed Access | Times Cited: 15

An in-depth survey of the artificial gorilla troops optimizer: outcomes, variations, and applications
Abdelazim G. Hussien, Anas Bouaouda, Abdullah Alzaqebah, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 5

Shielding networks: enhancing intrusion detection with hybrid feature selection and stack ensemble learning
Ali Mohammed Alsaffar, Mostafa Nouri-Baygi, Hamed M. Zolbanin
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5

Robust machine learning based Intrusion detection system using simple statistical techniques in feature selection
Sunil Kaushik, Akashdeep Bhardwaj, Ahmad Almogren, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

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