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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 Explainable and Resilient Intrusion Detection System for Industry 5.0
Danish Javeed, Tianhan Gao, Prabhat Kumar, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 1342-1350
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Digital Twins-enabled Zero Touch Network: A smart contract and explainable AI integrated cybersecurity framework
Randhir Kumar, Ahamed Aljuhani, Danish Javeed, et al.
Future Generation Computer Systems (2024) Vol. 156, pp. 191-205
Open Access | Times Cited: 23
Beyond Industry 4.0: a systematic review of Industry 5.0 technologies and implications for social, environmental and economic sustainability
Morteza Ghobakhloo, Mohammad Iranmanesh, Masood Fathi, et al.
Asia-Pacific Journal of Business Administration (2024)
Open Access | Times Cited: 19
Deep Learning Techniques for Web-Based Attack Detection in Industry 5.0: A Novel Approach
Abdu Salam, Faizan Ullah, Farhan Amin, et al.
Technologies (2023) Vol. 11, Iss. 4, pp. 107-107
Open Access | Times Cited: 23
Using machine learning algorithms to enhance IoT system security
Hosam F. El-Sofany, Samir Abou El-Seoud, Omar H. Karam, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12
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: 11
An Intelligent and Interpretable Intrusion Detection System for Unmanned Aerial Vehicles
Danish Javeed, Tianhan Gao, Prabhat Kumar, et al.
ICC 2022 - IEEE International Conference on Communications (2024), pp. 1951-1956
Closed Access | Times Cited: 9
Modified Aquila Optimizer Feature Selection Approach and Support Vector Machine Classifier for Intrusion Detection System
Laith Abualigah, Saba Hussein Ahmed, Mohammad H. Almomani, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 21, pp. 59887-59913
Closed Access | Times Cited: 7
A New Trend in Cryptographic Information Security for Industry 5.0: A Systematic Review
Zaffar Ahmed Shaikh, Fahima Hajjej, Yeter Demir Uslu, et al.
IEEE Access (2024) Vol. 12, pp. 7156-7169
Open Access | Times Cited: 7
The Three Pillars of Tomorrow: How Marketing 5.0 Builds on Industry 5.0 and Impacts Society 5.0?
Mihalj Bakator, Dragan Ćoćkalo, Vesna Makitan, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e36543-e36543
Open Access | Times Cited: 7
Blockchain and explainable AI for enhanced decision making in cyber threat detection
Prabhat Kumar, Danish Javeed, Randhir Kumar, et al.
Software Practice and Experience (2024) Vol. 54, Iss. 8, pp. 1337-1360
Open Access | Times Cited: 6
Performance Comparison Analysis of Classification Methodologies for Effective Detection of Intrusions
Rajesh Bingu, Salina Adinarayana, Jagjit Singh Dhatterwal, et al.
Computers & Security (2024) Vol. 143, pp. 103893-103893
Closed Access | Times Cited: 6
Machine Learning and Zero Knowledge Empowered Trustworthy Bitcoin Mixing for Next-G Consumer Electronics Payment
Xijian Xu, Jun Wu, Ali Kashif Bashir, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 2210-2223
Closed Access | Times Cited: 5
Industry 5.0 in Smart Education: Concepts, Applications, Challenges, Opportunities, and Future Directions
Y. Supriya, Dasari Bhulakshmi, Sweta Bhattacharya, et al.
IEEE Access (2024) Vol. 12, pp. 81938-81967
Open Access | Times Cited: 5
Explainable AI in Manufacturing and Industrial Cyber–Physical Systems: A Survey
Sajad Moosavi, Maryam Farajzadeh-Zanjani, Roozbeh Razavi–Far, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3497-3497
Open Access | Times Cited: 5
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 5
Interpretable machine learning-based rolling force prediction using multivariate industrial data during tandem cold rolling
Jingdong Li, Jinbo Zhou, Youzhao Sun, et al.
Ironmaking & Steelmaking Processes Products and Applications (2025)
Closed Access
Explainable artificial intelligence models in intrusion detection systems
Samed Al, Şeref Sağıroğlu
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110145-110145
Closed Access
Federated Learning-Based Personalized Recommendation Systems: An Overview on Security and Privacy Challenges
Danish Javeed, Muhammad Shahid Saeed, Prabhat Kumar, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 2618-2627
Open Access | Times Cited: 14
Securing Industry 5.0: An explainable deep learning model for intrusion detection in cyber-physical systems
Himanshu Nandanwar, Rahul Katarya
Computers & Electrical Engineering (2025) Vol. 123, pp. 110161-110161
Closed Access
DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks
Weiping Ding, Ibrahim Alrashdi, Hossam Hawash, et al.
Information Sciences (2023) Vol. 658, pp. 120057-120057
Closed Access | Times Cited: 11
Explainable and Data-Efficient Deep Learning for Enhanced Attack Detection in IIoT Ecosystem
Danish Attique, Hao Wang, Ping Wang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 24, pp. 38976-38986
Closed Access | Times Cited: 3
BRL-ETDM: Bayesian reinforcement learning-based explainable threat detection model for industry 5.0 network
Arun Kumar Dey, Govind P. Gupta, Satya Prakash Sahu
Cluster Computing (2024) Vol. 27, Iss. 6, pp. 8243-8268
Closed Access | Times Cited: 3
Deep Learning-Assisted Security and Privacy Provisioning in the Internet of Medical Things Systems: A Survey on Recent Advances
Rambod Pakrooh, Abdollah Jabbari, Carol Fung
IEEE Access (2024) Vol. 12, pp. 40610-40621
Open Access | Times Cited: 2
Leveraging Generative and Explainable AI for Electric Vehicle Energy Toward Sustainable, Consumer-Centric Transportation
Prasant Mohanty, K. Hemant Kumar Reddy, Saroj Kumar Panigrahy, et al.
IEEE Access (2024) Vol. 12, pp. 143721-143732
Open Access | Times Cited: 2
Enhancing transparency and trust in AI-powered manufacturing: A survey of explainable AI (XAI) applications in smart manufacturing in the era of industry 4.0/5.0
Konstantinos Nikiforidis, Alkiviadis Kyrtsoglou, Thanasis Vafeiadis, et al.
ICT Express (2024)
Open Access | Times Cited: 1
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