Standout Papers

Network intrusion detection system: A systematic study of machine learning and deep learning approaches 2020 2026 2022 2024486
  1. Network intrusion detection system: A systematic study of machine learning and deep learning approaches (2020)
    Zeeshan Ahmad, Adnan Shahid Khan et al. Transactions on Emerging Telecommunications Technologies

Immediate Impact

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Citing Papers

Integrating AI with detection methods, IoT, and blockchain to achieve food authenticity and traceability from farm-to-table
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Signature-based intrusion detection using machine learning and deep learning approaches empowered with fuzzy clustering
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2 intermediate papers

Works of Johari Abdullah being referenced

Network intrusion detection system: A systematic study of machine learning and deep learning approaches
2020 Standout
A Framework for Traceable and Transparent Supply Chain Management for Agri-food Sector in Malaysia using Blockchain Technology
2019

Author Peers

Author Last Decade Papers Cites
Johari Abdullah 664 504 263 357 33 897
Yi Xie 604 443 154 285 55 816
Changzhen Hu 490 387 261 321 62 819
Naeem Syed 560 386 201 315 19 755
Udaya Tupakula 724 526 218 380 33 871
Aikaterini Mitrokotsa 587 339 263 211 52 833
Mohammad Zulkernine 676 529 344 353 59 1.0k
Muna Al-Hawawreh 565 421 189 340 31 809
Qiben Yan 792 356 445 635 38 1.1k
Devrim Ünal 535 345 350 203 34 934
Ikkyun Kim 603 523 177 352 33 834

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2026