Standout Papers

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions 2021 2026 2022 20243.6k
  1. Review of deep learning: concepts, CNN architectures, challenges, applications, future directions (2021)
    Laith Alzubaidi, Jinglan Zhang et al. Journal Of Big Data
  2. A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications (2023)
    Laith Alzubaidi, Jinshuai Bai et al. Journal Of Big Data

Immediate Impact

55 standout
Sub-graph 1 of 23

Citing Papers

Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges
2025 Standout
Machine learning in point-of-care testing: innovations, challenges, and opportunities
2025 Standout
2 intermediate papers

Works of Laith Farhan being referenced

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
2023 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout

Author Peers

Author Last Decade Papers Cites
Laith Farhan 452 274 1162 776 608 13 4.2k
Muthana Al‐Amidie 378 178 1046 702 591 11 3.9k
Omran Al-Shamma 355 164 1280 880 793 21 4.3k
Ayad Q. Al-Dujaili 386 165 1000 687 524 35 3.9k
Jason Kuen 390 137 983 1013 318 12 3.8k
Bing Shuai 400 138 1131 1299 342 17 4.1k
Mohammed A. Fadhel 418 240 1614 1027 924 34 5.2k
Lianyang Ma 391 137 996 1105 315 6 3.8k
Jiuxiang Gu 391 137 1172 1350 322 25 4.1k
Zhenhua Wang 401 140 1026 1092 353 34 3.9k
Yongchun Zhu 420 183 1906 926 315 20 4.6k

All Works

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2026