Standout Papers

VerifyNet: Secure and Verifiable Federated Learning 2019 2026 2021 2023 469
  1. VerifyNet: Secure and Verifiable Federated Learning (2019)
    Guowen Xu, Hongwei Li et al. IEEE Transactions on Information Forensics and Security
  2. Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence (2019)
    Meng Hao, Hongwei Li et al. IEEE Transactions on Industrial Informatics

Immediate Impact

2 from Science/Nature 54 standout
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Citing Papers

When Federated Learning Meets Privacy-Preserving Computation
2024 Standout
Progress and Opportunities for Machine Learning in Materials and Processes of Additive Manufacturing
2024 Standout

Works of Sen Liu being referenced

Machine learning for knowledge transfer across multiple metals additive manufacturing printers
2021
VerifyNet: Secure and Verifiable Federated Learning
2019 Standout

Author Peers

Author Last Decade Papers Cites
Sen Liu 978 301 273 62 1.6k
Beakcheol Jang 613 298 193 76 1.5k
Yong Qi 490 437 444 107 1.6k
Lianbo Ma 777 369 145 94 1.8k
Lei Xu 547 303 455 51 1.2k
Aditya Khamparia 919 341 358 76 2.2k
Feiran Huang 841 274 279 64 1.5k
Hosam Alhakami 404 348 355 63 1.2k
Alí­pio Jorge 717 110 364 80 1.6k
Mehdi Gheisari 399 446 257 84 1.3k
Lianyong Qi 679 515 544 53 1.7k

All Works

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Rankless by CCL
2026