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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:

Improved DDoS Detection Utilizing Deep Neural Networks and Feedforward Neural Networks as Autoencoder
Ahmed Yaser, Hamdy M. Mousa, Mahmoud Hussein
Future Internet (2022) Vol. 14, Iss. 8, pp. 240-240
Open Access | Times Cited: 22

Showing 22 citing articles:

Dependable intrusion detection system using deep convolutional neural network: A Novel framework and performance evaluation approach
Vanlalruata Hnamte, Jamal Hussain
Telematics and Informatics Reports (2023) Vol. 11, pp. 100077-100077
Open Access | Times Cited: 45
Abnormal traffic detection system in SDN based on deep learning hybrid models
Kun Wang, Yu Fu, Xueyuan Duan, et al.
Computer Communications (2024) Vol. 216, pp. 183-194
Open Access | Times Cited: 12
DDoS attack detection in smart grid network using reconstructive machine learning models
Sardar Shan Ali Naqvi, Yuancheng Li, Muhammad Uzair
PeerJ Computer Science (2024) Vol. 10, pp. e1784-e1784
Open Access | Times Cited: 5
A Comparative Study of Network-Based Machine Learning Approaches for Binary Classification in Metabolomics
Hunter Dlugas, Seongho Kim
Metabolites (2025) Vol. 15, Iss. 3, pp. 174-174
Open Access
Adapting deep learning-LSTM method using optimized dataset in SDN controller for secure IoT
Omer Elsier Tayfour, Azath Mubarakali, Amira Elsir Tayfour, et al.
Soft Computing (2023)
Open Access | Times Cited: 13
Physical Assessment of an SDN-Based Security Framework for DDoS Attack Mitigation: Introducing the SDN-SlowRate-DDoS Dataset
Noe M. Yungaicela-Naula, Cesar Vargas‐Rosales, Jesús Arturo Pérez-Díaz, et al.
IEEE Access (2023) Vol. 11, pp. 46820-46831
Open Access | Times Cited: 13
An Improved Deep Learning Model for DDoS Detection Based on Hybrid Stacked Autoencoder and Checkpoint Network
Amthal K. Mousa, Mohammed Najm Abdullah
Future Internet (2023) Vol. 15, Iss. 8, pp. 278-278
Open Access | Times Cited: 11
Enhanced Random Forest Classifier with K-Means Clustering (ERF-KMC) for Detecting and Preventing Distributed-Denial-of-Service and Man-in-the-Middle Attacks in Internet-of-Medical-Things Networks
Abdullah Ali Jawad Al-Abadi, Mbarka Belhaj Mohamed, Ahmed Fakhfakh
Computers (2023) Vol. 12, Iss. 12, pp. 262-262
Open Access | Times Cited: 9
A DNN Architecture Generation Method for DDoS Detection via Genetic Alogrithm
Jiaqi Zhao, Ming Xu, Yunzhi Chen, et al.
Future Internet (2023) Vol. 15, Iss. 4, pp. 122-122
Open Access | Times Cited: 7
Predicting DDoS Attacks Using Machine Learning Algorithms in Building Management Systems
İsa AVCI, Murat Koca
Electronics (2023) Vol. 12, Iss. 19, pp. 4142-4142
Open Access | Times Cited: 7
Deep Learning-based DDoS Detection in Network Traffic Data
Teeb Hussein Hadi
International journal of electrical and computer engineering systems (2024) Vol. 15, Iss. 5, pp. 407-414
Open Access | Times Cited: 2
Impact Of Availability Attacks On Enabling IoT Based Healthcare Applications
Abdullah Ali Jawad Al-Abadi, Mbarka Belhaj Mohamed, Ahmed Fakhfakh
2022 International Wireless Communications and Mobile Computing (IWCMC) (2023), pp. 1666-1671
Closed Access | Times Cited: 5
Advancing DDoS attack detection with hybrid deep learning: integrating convolutional neural networks, PCA, and vision transformers
Jahangir Shaikh, Toqeer Ali Syed, Syed Aziz Shah, et al.
International Journal on Smart Sensing and Intelligent Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1
DDOS Attack Detection with Machine Learning: A Systematic Mapping of Literature
Shreya Singh, Megha Gupta, Deepak Kumar Sharma
2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2023), pp. 939-945
Closed Access | Times Cited: 4
Evaluating Machine Learning and Deep Learning Models for Enhanced DDoS Attack Detection
Mohand Adnan Owaid, Asmaa Salih Hammoodi
Mathematical Modelling and Engineering Problems (2024) Vol. 11, Iss. 2, pp. 493-499
Open Access | Times Cited: 1
Classification Tendency Difference Index Model for Feature Selection and Extraction in Wireless Intrusion Detection
Chinyang Henry Tseng, Woei-Jiunn Tsaur, Yueh-Mao Shen
Future Internet (2024) Vol. 16, Iss. 1, pp. 25-25
Open Access
DDoS Attack Detection in Smart Grid Networks Using Visual Features
Sardar Shan Ali Naqvi, Yuancheng Li, Muhammad Uzair
(2024), pp. 1-5
Closed Access
Comparative Study for Identifying and Categorizing DDoS Attacks
Asaad B. Saad, Eman Hossny, Fatma A. Omara
(2024), pp. 272-277
Closed Access
Controller design for adaptive cruise control system based on electric charged particles optimization algorithm
Mustafa Saeed Al Kreem, Nizar Hadi Abbas
AIP conference proceedings (2024) Vol. 3097, pp. 050001-050001
Closed Access
Fractional hunger jellyfish search optimization based deep quantum neural network for malicious traffic segregation and attack detection
Sunil Sonawane, Reshma Gulwani, Pooja Sharma
Web Intelligence (2024), pp. 1-23
Closed Access
A comprehensive review on Software-Defined Networking (SDN) and DDoS attacks: Ecosystem, taxonomy, traffic engineering, challenges and research directions
Amandeep Kaur, C. Rama Krishna, Nilesh Vishwasrao Patil
Computer Science Review (2024) Vol. 55, pp. 100692-100692
Closed Access
A Comprehensive Survey On Detection And Mitigation Of DDoS Attacks Enabled With Deep Learning Techniques In Cloud Computing
Yogesh B. Sanap, Pushpalata Aher
(2023), pp. 149-154
Closed Access
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