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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:

An efficient XGBoost–DNN-based classification model for network intrusion detection system
D Preethi, Neelu Khare
Neural Computing and Applications (2020) Vol. 32, Iss. 16, pp. 12499-12514
Closed Access | Times Cited: 214

Showing 76-100 of 214 citing articles:

Intrusion Detection Using Bat Optimization Algorithm and DenseNet for IoT and Cloud Based Systems
H. Kanakadurga Bella, S. Vasundra
International Journal of Artificial Intelligence Tools (2023) Vol. 33, Iss. 02
Closed Access | Times Cited: 8
LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification
Liqian Zhou, Qi Duan, Xiongfei Tian, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 19
Intrusion Detection Model for Imbalanced Dataset Using SMOTE and Random Forest Algorithm
Reem Alshamy, Mossa Ghurab, Suad Mohammed Othman, et al.
Communications in computer and information science (2021), pp. 361-378
Closed Access | Times Cited: 18
Data Curation and Quality Evaluation for Machine Learning-Based Cyber Intrusion Detection
Ngan Tran, Haihua Chen, Jay Bhuyan, et al.
IEEE Access (2022) Vol. 10, pp. 121900-121923
Open Access | Times Cited: 13
Development and benchmarking of machine learning models to classify patients suitable for outpatient lower extremity joint arthroplasty
Haoyu Jia, Sierra Simpson, Varshini Sathish, et al.
Journal of Clinical Anesthesia (2023) Vol. 88, pp. 111147-111147
Closed Access | Times Cited: 7
Machine learning rate constants of hydrogen abstraction reactions between ester and H atom
Jinhui Yu, Shanshan Ruan, Hongwei Song, et al.
Combustion and Flame (2023) Vol. 255, pp. 112901-112901
Closed Access | Times Cited: 7
Intrusion Detection Techniques For Security and Privacy of 6G Applications
Priya Kohli, Sachin Sharma, Priya Matta
(2023), pp. 560-565
Closed Access | Times Cited: 7
A Fine-Grained System Driven of Attacks Over Several New Representation Techniques Using Machine Learning
Mohammed A. Al Ghamdi
IEEE Access (2023) Vol. 11, pp. 96615-96625
Open Access | Times Cited: 7
Sensitivity analysis of slope stability based on eXtreme Gradient Boosting and SHapley Additive exPlanations: an exploratory study.
Hanjie Lin, Li Li, Yue Qiang, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e35871-e35871
Open Access | Times Cited: 2
Deep learning infused SIRVD model for COVID-19 prediction: XGBoost-SIRVD-LSTM approach
Hisham Alkhalefah, D Preethi, Neelu Khare, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 2
Anomaly‐Based Intrusion Detection System in Wireless Sensor Networks Using Machine Learning Algorithms
Belal Al-Fuhaidi, Zainab Farae, Farouk Al-Fahaidy, et al.
Applied Computational Intelligence and Soft Computing (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 2
Reflective Distributed Denial of Service Detection: A Novel Model Utilizing Binary Particle Swarm Optimization—Simulated Annealing for Feature Selection and Gray Wolf Optimization-Optimized LightGBM Algorithm
Daoqi Han, Honghui Li, Xueliang Fu
Sensors (2024) Vol. 24, Iss. 19, pp. 6179-6179
Open Access | Times Cited: 2
A Decision Support System for Trading in Apple Futures Market Using Predictions Fusion
Shangkun Deng, Xiaoru Huang, Jiahui Wang, et al.
IEEE Access (2020) Vol. 9, pp. 1271-1285
Open Access | Times Cited: 20
A New Intrusion Detection Scheme Using CatBoost Classifier
Nitesh Singh Bhati, Manju Khari
Springer eBooks (2021), pp. 169-176
Closed Access | Times Cited: 17
Machine Learning Techniques for Network-based Intrusion Detection System: A Survey Paper
Lubna Ali Hassan Ahmed, Yahia Abdalla Mohamed Hamad
(2021), pp. 1-7
Closed Access | Times Cited: 17
Real-time intrusion detection based on residual learning through ResNet algorithm
Asma Shaikh, Preeti Gupta
International Journal of Systems Assurance Engineering and Management (2022)
Closed Access | Times Cited: 12
Network Intrusion Detection Method Based on FCWGAN and BiLSTM
Zexuan Ma, Jin Li, Yafei Song, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 11
A Deep Learning Approach to Online Social Network Account Compromisation
Edward Kwadwo Boahen, Brunel Elvire Bouya-Moko, Faizan Qamar, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 6, pp. 3204-3216
Closed Access | Times Cited: 11
An Ensemble Model for Network Intrusion Detection Using AdaBoost, Random Forest and Logistic Regression
Nitesh Singh Bhati, Manju Khari
Lecture notes in electrical engineering (2022), pp. 777-789
Closed Access | Times Cited: 11
Enhancing Intrusion Detection Systems with XGBoost Feature Selection and Deep Learning Approaches
Khalid A. Binsaeed, Alaaeldin M. Hafez
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 5
Open Access | Times Cited: 6
AI-powered intrusion detection in large-scale traffic networks based on flow sensing strategy and parallel deep analysis
Hoang V. Vo, Hanh P. Du, Hoa N. Nguyen
Journal of Network and Computer Applications (2023) Vol. 220, pp. 103735-103735
Closed Access | Times Cited: 6
Explaining the Effectiveness of Machine Learning in Malware Detection: Insights from Explainable AI
Hendrio Bragança, Vanderson Rocha, Eduardo Souto, et al.
(2023), pp. 181-194
Open Access | Times Cited: 6
MIND: A Multi-Source Data Fusion Scheme for Intrusion Detection in Networks
Naveed Anjum, Zohaib Latif, Choonhwa Lee, et al.
Sensors (2021) Vol. 21, Iss. 14, pp. 4941-4941
Open Access | Times Cited: 15
A Network Intrusion Detection System Using Ensemble Machine Learning
Aklil Kiflay, Athanasios Tsokanos, Raimund Kirner
(2021), pp. 1-6
Closed Access | Times Cited: 14
CNN-BiLSTM Hybrid Model for Network Anomaly Detection in Internet of Things
Bauyrzһan Omarov, Omirlan Auelbekov, Azizah Suliman, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 3
Open Access | Times Cited: 5

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