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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:

Botnet detection using graph-based feature clustering
Sudipta Chowdhury, Mojtaba Khanzadeh, Ravi Akula, et al.
Journal Of Big Data (2017) Vol. 4, Iss. 1
Open Access | Times Cited: 146

Showing 1-25 of 146 citing articles:

A Survey on Machine Learning Techniques for Cyber Security in the Last Decade
Kamran Shaukat, Suhuai Luo, Vijay Varadharajan, et al.
IEEE Access (2020) Vol. 8, pp. 222310-222354
Open Access | Times Cited: 348
Porosity prediction: Supervised-learning of thermal history for direct laser deposition
Mojtaba Khanzadeh, Sudipta Chowdhury, Mohammad Marufuzzaman, et al.
Journal of Manufacturing Systems (2018) Vol. 47, pp. 69-82
Open Access | Times Cited: 260
Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review
N. C. Mishra, Sharnil Pandya
IEEE Access (2021) Vol. 9, pp. 59353-59377
Open Access | Times Cited: 233
In-situ monitoring of melt pool images for porosity prediction in directed energy deposition processes
Mojtaba Khanzadeh, Sudipta Chowdhury, Mark A. Tschopp, et al.
IISE Transactions (2017) Vol. 51, Iss. 5, pp. 437-455
Closed Access | Times Cited: 222
BotMark: Automated botnet detection with hybrid analysis of flow-based and graph-based traffic behaviors
Wei Wang, Yaoyao Shang, Yongzhong He, et al.
Information Sciences (2019) Vol. 511, pp. 284-296
Closed Access | Times Cited: 183
Cyber risk and cybersecurity: a systematic review of data availability
Frank Cremer, Barry Sheehan, Michael Fortmann, et al.
The Geneva Papers on Risk and Insurance Issues and Practice (2022) Vol. 47, Iss. 3, pp. 698-736
Open Access | Times Cited: 183
Machine learning in cybersecurity: a comprehensive survey
Dipankar Dasgupta, Zahid Akhtar, Sajib Sen
The Journal of Defense Modeling and Simulation Applications Methodology Technology (2020) Vol. 19, Iss. 1, pp. 57-106
Closed Access | Times Cited: 157
A Comprehensive Survey of Generative Adversarial Networks (GANs) in Cybersecurity Intrusion Detection
Aeryn Dunmore, Julian Jang‐Jaccard, Fariza Sabrina, et al.
IEEE Access (2023) Vol. 11, pp. 76071-76094
Open Access | Times Cited: 42
An Adaptive Multi-Layer Botnet Detection Technique Using Machine Learning Classifiers
Riaz Ullah Khan, Xiaosong Zhang, Rajesh Kumar, et al.
Applied Sciences (2019) Vol. 9, Iss. 11, pp. 2375-2375
Open Access | Times Cited: 127
Machine Learning and Deep Learning Techniques for Cybersecurity: A Review
Said A. Salloum, Muhammad Turki Alshurideh, Ashraf Elnagar, et al.
Advances in intelligent systems and computing (2020), pp. 50-57
Closed Access | Times Cited: 124
A review on cyber security datasets for machine learning algorithms
Yavanoglu Ozlem, Murat Aydos
2021 IEEE International Conference on Big Data (Big Data) (2017), pp. 2186-2193
Closed Access | Times Cited: 107
Intrusion Detection Systems: A Cross-Domain Overview
Lionel Nganyewou Tidjon, Marc Frappier, Amel Mammar
IEEE Communications Surveys & Tutorials (2019) Vol. 21, Iss. 4, pp. 3639-3681
Closed Access | Times Cited: 100
An optimum ANN-based breast cancer diagnosis: Bridging gaps between ANN learning and decision-making goals
Ruholla Jafari-Marandi, Samaneh Davarzani, Maryam Soltanpour Gharibdousti, et al.
Applied Soft Computing (2018) Vol. 72, pp. 108-120
Closed Access | Times Cited: 86
Multi-attributed heterogeneous graph convolutional network for bot detection
Jun Zhao, Xudong Liu, Qiben Yan, et al.
Information Sciences (2020) Vol. 537, pp. 380-393
Open Access | Times Cited: 72
DNNBoT: Deep Neural Network-Based Botnet Detection and Classification
Shobhit Verma, Nonita Sharma, Aman Singh, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 71, Iss. 1, pp. 1729-1750
Open Access | Times Cited: 70
Machine Learning-Based Botnet Detection in Software-Defined Network: A Systematic Review
Khlood Shinan, Khalid Alsubhi, Ahmed Alzahrani, et al.
Symmetry (2021) Vol. 13, Iss. 5, pp. 866-866
Open Access | Times Cited: 60
Novel Graph-Based Machine Learning Technique to Secure Smart Vehicles in Intelligent Transportation Systems
Brij B. Gupta, Akshat Gaurav, Enrique Caño-Marín, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 8, pp. 8483-8491
Closed Access | Times Cited: 51
XG-BoT: An explainable deep graph neural network for botnet detection and forensics
Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, et al.
Internet of Things (2023) Vol. 22, pp. 100747-100747
Open Access | Times Cited: 38
DBoTPM: A Deep Neural Network-Based Botnet Prediction Model
Mohd Anul Haq
Electronics (2023) Vol. 12, Iss. 5, pp. 1159-1159
Open Access | Times Cited: 29
Adaptive deep Q-learning model for detecting social bots and influential users in online social networks
Greeshma Lingam, Rashmi Ranjan Rout, D. V. L. N. Somayajulu
Applied Intelligence (2019) Vol. 49, Iss. 11, pp. 3947-3964
Closed Access | Times Cited: 67
BotChase: Graph-Based Bot Detection Using Machine Learning
Abbas Abou Daya, Mohammad A. Salahuddin, Noura Limam, et al.
IEEE Transactions on Network and Service Management (2020) Vol. 17, Iss. 1, pp. 15-29
Closed Access | Times Cited: 56
Survey on Botnet Detection Techniques: Classification, Methods, and Evaluation
Ying Xing, Hui Shu, Hao Zhao, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-24
Open Access | Times Cited: 54
Botnet Detection Approach Using Graph-Based Machine Learning
Afnan Alharbi, Khalid Alsubhi
IEEE Access (2021) Vol. 9, pp. 99166-99180
Open Access | Times Cited: 51
On Detecting and Classifying DGA Botnets and their Families
Tong Anh Tuan, Hoang Viet Long, David Taniar
Computers & Security (2021) Vol. 113, pp. 102549-102549
Open Access | Times Cited: 42
A Comprehensive Analysis of Machine Learning- and Deep Learning-Based Solutions for DDoS Attack Detection in SDN
Naziya Aslam, Shashank Srivastava, Manoj Madhava Gore
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 3, pp. 3533-3573
Closed Access | Times Cited: 18
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