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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:

A privacy-conserving framework based intrusion detection method for detecting and recognizing malicious behaviours in cyber-physical power networks
Izhar Ahmed Khan, Dechang Pi, Nasrullah Khan, et al.
Applied Intelligence (2021) Vol. 51, Iss. 10, pp. 7306-7321
Closed Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

A Review of Anomaly Detection Strategies to Detect Threats to Cyber-Physical Systems
Nicholas Jeffrey, Qing Tan, José R. Villar
Electronics (2023) Vol. 12, Iss. 15, pp. 3283-3283
Open Access | Times Cited: 54
Blockchain security enhancement: an approach towards hybrid consensus algorithms and machine learning techniques
K. Venkatesan, Syarifah Bahiyah Rahayu
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 37
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: 91
An Enhanced Multi-Stage Deep Learning Framework for Detecting Malicious Activities From Autonomous Vehicles
Izhar Ahmed Khan, Nour Moustafa, Dechang Pi, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 12, pp. 25469-25478
Closed Access | Times Cited: 75
AFP-CMBPred: Computational identification of antifreeze proteins by extending consensus sequences into multi-blocks evolutionary information
Farman Ali, Shahid Akbar, Ali Ghulam, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 105006-105006
Closed Access | Times Cited: 68
Enhancing IIoT networks protection: A robust security model for attack detection in Internet Industrial Control Systems
Izhar Ahmed Khan, Marwa Keshk, Dechang Pi, et al.
Ad Hoc Networks (2022) Vol. 134, pp. 102930-102930
Closed Access | Times Cited: 62
DBP-CNN: Deep learning-based prediction of DNA-binding proteins by coupling discrete cosine transform with two-dimensional convolutional neural network
Omar Barukab, Farman Ali, Wajdi Alghamdi, et al.
Expert Systems with Applications (2022) Vol. 197, pp. 116729-116729
Closed Access | Times Cited: 42
Federated-SRUs: A Federated-Simple-Recurrent-Units-Based IDS for Accurate Detection of Cyber Attacks Against IoT-Augmented Industrial Control Systems
Izhar Ahmed Khan, Dechang Pi, Muhammad Zahid Abbas, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 10, pp. 8467-8476
Closed Access | Times Cited: 41
Cyber Attacks on Power Grids: Causes and Propagation of Cascading Failures
Vetrivel Subramaniam Rajkumar, Alexandru Ştefanov, Alfan Presekal, et al.
IEEE Access (2023) Vol. 11, pp. 103154-103176
Open Access | Times Cited: 32
Fed-Inforce-Fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks
Izhar Ahmed Khan, Imran Razzak, Dechang Pi, et al.
Information Fusion (2023) Vol. 101, pp. 102002-102002
Open Access | Times Cited: 29
AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree
Adnan Khan, Jamal Uddin, Farman Ali, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 3, pp. 826-834
Closed Access | Times Cited: 26
Recent Advances in Machine Learning-Based Models for Prediction of Antiviral Peptides
Farman Ali, Harish Kumar, Wajdi Alghamdi, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4033-4044
Open Access | Times Cited: 25
Intermittent Fault Diagnosis of Split-Star Networks and its Applications
Jiankang Song, Limei Lin, Yanze Huang, et al.
IEEE Transactions on Parallel and Distributed Systems (2023) Vol. 34, Iss. 4, pp. 1253-1264
Closed Access | Times Cited: 22
A Blended Deep Learning Intrusion Detection Framework for Consumable Edge-Centric IoMT Industry
Jafar A. Alzubi, Omar A. Alzubi, Issa Qiqieh, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 2049-2057
Closed Access | Times Cited: 13
Deep-VEGF: deep stacked ensemble model for prediction of vascular endothelial growth factor by concatenating gated recurrent unit with two-dimensional convolutional neural network
Raed Alsini, Abdullah Almuhaimeed, Farman Ali, et al.
Journal of Biomolecular Structure and Dynamics (2024), pp. 1-11
Closed Access | Times Cited: 10
CyberDefender: an integrated intelligent defense framework for digital-twin-based industrial cyber-physical systems
S. Krishnaveni, Tom Chen, Mithileysh Sathiyanarayanan, et al.
Cluster Computing (2024) Vol. 27, Iss. 6, pp. 7273-7306
Closed Access | Times Cited: 9
An ensemble computational model for prediction of clathrin protein by coupling machine learning with discrete cosine transform
Majdi Khalid, Farman Ali, Wajdi Alghamdi, et al.
Journal of Biomolecular Structure and Dynamics (2024), pp. 1-9
Closed Access | Times Cited: 8
TEA-EKHO-IDS: An intrusion detection system for industrial CPS with trustworthy explainable AI and enhanced krill herd optimization
S. Krishnaveni, S. Sridhar, S. Krishnaveni
Peer-to-Peer Networking and Applications (2023) Vol. 16, Iss. 4, pp. 1993-2021
Closed Access | Times Cited: 19
Deep-AGP: Prediction of angiogenic protein by integrating two-dimensional convolutional neural network with discrete cosine transform
Farman Ali, Wajdi Alghamdi, Alaa Omran Almagrabi, et al.
International Journal of Biological Macromolecules (2023) Vol. 243, pp. 125296-125296
Closed Access | Times Cited: 16
Machine learning-based model for accurate identification of druggable proteins using light extreme gradient boosting
Omar Alghushairy, Farman Ali, Wajdi Alghamdi, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 22, pp. 12330-12341
Closed Access | Times Cited: 16
IP-GCN: A Deep Learning Model for Prediction of Insulin using Graph Convolutional Network for Diabetes Drug Design
Farman Ali, Majdi Khalid, Abdullah Almuhaimeed, et al.
Journal of Computational Science (2024) Vol. 81, pp. 102388-102388
Closed Access | Times Cited: 7
DBP-DeepCNN: Prediction of DNA-binding proteins using wavelet-based denoising and deep learning
Farman Ali, Harish Kumar, Shruti Patil, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 229, pp. 104639-104639
Closed Access | Times Cited: 27
Fusion-based anomaly detection system using modified isolation forest for internet of things
Orieb AbuAlghanam, Hadeel Alazzam, Esraa Alhenawi, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 1, pp. 131-145
Closed Access | Times Cited: 27
Target-DBPPred: An intelligent model for prediction of DNA-binding proteins using discrete wavelet transform based compression and light eXtreme gradient boosting
Farman Ali, Harish Kumar, Shruti Patil, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105533-105533
Closed Access | Times Cited: 26
DBP-iDWT: Improving DNA-Binding Proteins Prediction Using Multi-Perspective Evolutionary Profile and Discrete Wavelet Transform
Farman Ali, Omar Barukab, Ajay B. Gadicha, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 24
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