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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:

Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

MLSTL-WSN: machine learning-based intrusion detection using SMOTETomek in WSNs
Md. Alamin Talukder, Selina Sharmin, Md Ashraf Uddin, et al.
International Journal of Information Security (2024) Vol. 23, Iss. 3, pp. 2139-2158
Open Access | Times Cited: 23
An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique
Maksuda Akter, Rabea Khatun, Md. Alamin Talukder, et al.
Deleted Journal (2025)
Open Access | Times Cited: 2
Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 9
Securing transactions: a hybrid dependable ensemble machine learning model using IHT-LR and grid search
Md. Alamin Talukder, Rakib Hossen, Md Ashraf Uddin, et al.
Cybersecurity (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 9
Deep learning-based human activity recognition using CNN, ConvLSTM, and LRCN
Md Ashraf Uddin, Md. Alamin Talukder, Muhammad Sajib Uzzaman, et al.
International Journal of Cognitive Computing in Engineering (2024) Vol. 5, pp. 259-268
Open Access | Times Cited: 5
A stacked ensemble approach to detect cyber attacks based on feature selection techniques
Wahida Ferdose Urmi, Mohammed Nasir Uddin, Md Ashraf Uddin, et al.
International Journal of Cognitive Computing in Engineering (2024) Vol. 5, pp. 316-331
Open Access | Times Cited: 5
Enhanced Grey Wolf Optimization (EGWO) and random forest based mechanism for intrusion detection in IoT networks
Saad Said Alqahtany, Asadullah Shaikh, Ali Alqazzaz
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction
Md. Alamin Talukder, Majdi Khalid, Nasrin Sultana
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Cybersecurity in the AI era: analyzing the impact of machine learning on intrusion detection
Huiyao Dong, Igor Kotenko
Knowledge and Information Systems (2025)
Closed Access
An intrusion detection imbalanced data classification algorithm based on CWGAN-GP oversampling
Qinglei Yao, Xiaoqiang Zhao
Peer-to-Peer Networking and Applications (2025) Vol. 18, Iss. 3
Closed Access
BERT-based network for intrusion detection system
Yong Yang, Xing Peng
EURASIP Journal on Information Security (2025) Vol. 2025, Iss. 1
Open Access
The Impact of Balancing Techniques and Feature Selection on Machine Learning Models for Diabetes Detection
Vahid Sinap
Fırat Üniversitesi Mühendislik Bilimleri Dergisi (2025) Vol. 37, Iss. 1, pp. 303-320
Open Access
Advancing IoT Security: Integrative Machine Learning Models for Enhanced Intrusion Detection in Wireless Sensor Networks
Mopuru Bhargavi, Pachipala Yellamma
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 4, pp. 14840-14847
Open Access | Times Cited: 4
A dual-tier adaptive one-class classification IDS for emerging cyberthreats
Md Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, et al.
Computer Communications (2024) Vol. 229, pp. 108006-108006
Open Access | Times Cited: 4
An integrated multistage ensemble machine learning model for fraudulent transaction detection
Md. Alamin Talukder, Majdi Khalid, Md Ashraf Uddin
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 4
usfAD based effective unknown attack detection focused IDS framework
Md Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Predicting customer subscription in bank telemarketing campaigns using ensemble learning models
Michael Oduor-Odote Peter, Hawa Mofi, Said Likoko, et al.
Machine Learning with Applications (2025), pp. 100618-100618
Open Access
A Review of Deep Learning Applications in Intrusion Detection Systems: Overcoming Challenges in Spatiotemporal Feature Extraction and Data Imbalance
Ya Zhang, Ravie Chandren Muniyandi, Faizan Qamar
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1552-1552
Open Access
TAL-SRX: an intelligent typing evaluation method for KASP primers based on multi-model fusion
Xiaojing Chen, Jingchao Fan, Shen Yan, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access
LLM-AE-MP: Web attack detection using a large language model with autoencoder and multilayer perceptron
Jing Yang, Yifan Wu, Yuping Yuan, et al.
Expert Systems with Applications (2025), pp. 126982-126982
Closed Access
Intrusion detection in smart grids using artificial intelligence-based ensemble modelling
Amjad Alsirhani, Noshina Tariq, Mamoona Humayun, et al.
Cluster Computing (2025) Vol. 28, Iss. 4
Open Access
Ensemble Learning for Network Intrusion Detection Based on Correlation and Embedded Feature Selection Techniques
Ghalia Nassreddine, Mohamad Nassereddine, Obada Al-Khatib
Computers (2025) Vol. 14, Iss. 3, pp. 82-82
Open Access
An interpretable dimensional reduction technique with an explainable model for detecting attacks in Internet of Medical Things devices
Swati Lipsa, Ranjan Kumar Dash, Nikola Ivković
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Enhancing malware detection with feature selection and scaling techniques using machine learning models
Rakibul Hasan, Barna Biswas, Md Samiun, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Data-driven strategies for digital native market segmentation using clustering
Md Ashraf Uddin, Md. Alamin Talukder, Md. Redwan Ahmed, et al.
International Journal of Cognitive Computing in Engineering (2024) Vol. 5, pp. 178-191
Open Access | Times Cited: 3
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