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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:

IoTBoT-IDS: A novel statistical learning-enabled botnet detection framework for protecting networks of smart cities
Javed Ashraf, Marwa Keshk, Nour Moustafa, et al.
Sustainable Cities and Society (2021) Vol. 72, pp. 103041-103041
Closed Access | Times Cited: 132

Showing 1-25 of 132 citing articles:

A comprehensive review study of cyber-attacks and cyber security; Emerging trends and recent developments
Yuchong Li, Qinghui Liu
Energy Reports (2021) Vol. 7, pp. 8176-8186
Open Access | Times Cited: 429
Design and Development of RNN Anomaly Detection Model for IoT Networks
Imtiaz Ullah, Qusay H. Mahmoud
IEEE Access (2022) Vol. 10, pp. 62722-62750
Open Access | Times Cited: 129
Smart city and cyber-security; technologies used, leading challenges and future recommendations
Chen Ma
Energy Reports (2021) Vol. 7, pp. 7999-8012
Open Access | Times Cited: 127
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: 126
ELBA-IoT: An Ensemble Learning Model for Botnet Attack Detection in IoT Networks
Qasem Abu Al‐Haija, Muawya N. Al Dalaien
Journal of Sensor and Actuator Networks (2022) Vol. 11, Iss. 1, pp. 18-18
Open Access | Times Cited: 97
Imbalanced tabular data modelization using CTGAN and machine learning to improve IoT Botnet attacks detection
Omar Habibi, Mohammed Chemmakha, Mohamed Lazaar
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105669-105669
Closed Access | Times Cited: 79
Ensemble-Learning Framework for Intrusion Detection to Enhance Internet of Things’ Devices Security
Yazeed Alotaibi, Mohammad Ilyas
Sensors (2023) Vol. 23, Iss. 12, pp. 5568-5568
Open Access | Times Cited: 41
XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks
Izhar Ahmed Khan, Nour Moustafa, Imran Razzak, et al.
Future Generation Computer Systems (2021) Vol. 127, pp. 181-193
Closed Access | Times Cited: 88
BotStop : Packet-based efficient and explainable IoT botnet detection using machine learning
Mohammed M. Alani
Computer Communications (2022) Vol. 193, pp. 53-62
Closed Access | Times Cited: 56
Boost‐Defence for resilient IoT networks: A head‐to‐toe approach
Qasem Abu Al‐Haija, Ahmad Al Badawi, Giridhar Reddy Bojja
Expert Systems (2022) Vol. 39, Iss. 10
Closed Access | Times Cited: 37
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
An intelligent DDoS attack detection tree-based model using Gini index feature selection method
Mohamed Aly Bouke, Azizol Abdullah, Sameer Hamoud ALshatebi, et al.
Microprocessors and Microsystems (2023) Vol. 98, pp. 104823-104823
Closed Access | Times Cited: 33
Research trends, themes, and insights on artificial neural networks for smart cities towards SDG-11
Akshat Jain, Ivan Henderson V. Gue, Prateek Jain
Journal of Cleaner Production (2023) Vol. 412, pp. 137300-137300
Open Access | Times Cited: 31
HDA-IDS: A Hybrid DoS Attacks Intrusion Detection System for IoT by using semi-supervised CL-GAN
Sifan Li, Yue Cao, Shuohan Liu, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122198-122198
Closed Access | Times Cited: 30
A lightweight IoT intrusion detection model based on improved BERT-of-Theseus
Zhendong Wang, Jingfei Li, Shuxin Yang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122045-122045
Closed Access | Times Cited: 29
Anomaly-based cyberattacks detection for smart homes: A systematic literature review
Juan Ignacio Iturbe Araya, Helena Rifà-Pous
Internet of Things (2023) Vol. 22, pp. 100792-100792
Open Access | Times Cited: 22
Enhanced IDS with Deep Learning for IoT-Based Smart Cities Security
Chaimae Hazman, Azidine Guezzaz, Said Benkirane, et al.
Tsinghua Science & Technology (2024) Vol. 29, Iss. 4, pp. 929-947
Open Access | Times Cited: 11
Improving operations through a lean AI paradigm: a view to an AI-aided lean manufacturing via versatile convolutional neural network
Mohammad Shahin, Mazdak Maghanaki, Ali Hosseinzadeh, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 11-12, pp. 5343-5419
Closed Access | Times Cited: 8
Ethical Considerations in AI-Based Cybersecurity
Keshav Kaushik, Aadil Khan, Ankita Kumari, et al.
Blockchain technologies (2024), pp. 437-470
Closed Access | Times Cited: 7
Attack-Aware IoT Network Traffic Routing Leveraging Ensemble Learning
Qasem Abu Al‐Haija, Ahmad Al Badawi
Sensors (2021) Vol. 22, Iss. 1, pp. 241-241
Open Access | Times Cited: 41
A novel fully convolutional neural network approach for detection and classification of attacks on industrial IoT devices in smart manufacturing systems
Mohammad Shahin, F. Frank Chen, Hamed Bouzary, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 123, Iss. 5-6, pp. 2017-2029
Open Access | Times Cited: 34
An Intrusion Detection and Classification System for IoT Traffic with Improved Data Engineering
Abdulaziz A. Alsulami, Qasem Abu Al‐Haija, Ahmad Tayeb, et al.
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12336-12336
Open Access | Times Cited: 33
A deep hybrid learning model for detection of cyber attacks in industrial IoT devices
Mohammad Shahin, F. Frank Chen, Ali Hosseinzadeh, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 123, Iss. 5-6, pp. 1973-1983
Closed Access | Times Cited: 31
DDoS attacks in Industrial IoT: A survey
Shubhankar Chaudhary, Pramod Kumar Mishra
Computer Networks (2023) Vol. 236, pp. 110015-110015
Closed Access | Times Cited: 21
Engineering the application of machine learning in an IDS based on IoT traffic flow
Nuno Prazeres, Rogério Luís de C. Costa, Leonel Santos, et al.
Intelligent Systems with Applications (2023) Vol. 17, pp. 200189-200189
Open Access | Times Cited: 20
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