Standout Papers

HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrus... 2017 2026 2020 2023 314
  1. HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection (2017)
    Wei Wang, Yiqiang Sheng et al. IEEE Access

Immediate Impact

60 standout
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Citing Papers

Transformers and large language models for efficient intrusion detection systems: A comprehensive survey
2025 Standout
Signature-based intrusion detection using machine learning and deep learning approaches empowered with fuzzy clustering
2025 Standout
5 intermediate papers

Works of Xiaozhou Ye being referenced

Using a Recurrent Neural Network and Restricted Boltzmann Machines for Malicious Traffic Detection
2018
HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection
2017 Standout

Author Peers

Author Last Decade Papers Cites
Xiaozhou Ye 333 21 26 318 151 18 396
Ruijie Zhao 298 9 30 315 141 20 440
Kaiyuan Jiang 239 15 20 245 111 11 342
Lasheng Yu 251 5 33 257 138 20 378
Yang Yu 299 6 19 286 160 18 407
Hadeel Alazzam 287 4 13 255 164 14 367
Xuewen Zeng 342 3 33 338 143 26 434
Alessandro Finamore 327 7 37 242 54 23 387
Lowri Williams 303 4 23 288 205 15 434
Khair Eddin Sabri 264 3 26 246 140 25 361
Luiz F. Q. Silveira 177 16 79 163 148 29 354

All Works

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2026