Standout Papers

Deep Learning Approach Combining Sparse Autoencoder With SVM for Network Intrusion Detection 2018 2026 2020 2023 274
  1. Deep Learning Approach Combining Sparse Autoencoder With SVM for Network Intrusion Detection (2018)
    Majjed Al-Qatf, Lasheng Yu et al. IEEE Access

Immediate Impact

61 standout
Sub-graph 1 of 23

Citing Papers

Signature-based intrusion detection using machine learning and deep learning approaches empowered with fuzzy clustering
2025 Standout
Cybersecurity Solutions for Industrial Internet of Things–Edge Computing Integration: Challenges, Threats, and Future Directions
2025 Standout
3 intermediate papers

Works of Lasheng Yu being referenced

Deep Learning Approach Combining Sparse Autoencoder With SVM for Network Intrusion Detection
2018 Standout

Author Peers

Author Last Decade Papers Cites
Lasheng Yu 41 257 30 251 138 20 378
Alwi M. Bamhdi 44 244 17 240 118 19 429
Jiqiang Liu 112 238 25 284 150 30 438
Z. Berkay Celik 119 150 24 199 140 23 390
Suprio Ray 97 190 29 179 121 36 384
Pedro Miguel Sánchez Sánchez 117 272 31 188 111 30 448
Khair Eddin Sabri 54 246 20 264 140 25 361
Ying Zhong 35 255 29 236 143 24 345
Alessandro D’Alconzo 46 182 65 280 85 24 375
Xiaogang Zhu 104 121 20 103 123 23 360
MingJian Tang 146 207 24 146 60 15 386

All Works

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2026