Standout Papers

Model Pruning Enables Efficient Federated Learning on Edge Devices 2022 2026 2023 2024226
  1. Model Pruning Enables Efficient Federated Learning on Edge Devices (2022)
    Yuang Jiang, Shiqiang Wang et al. IEEE Transactions on Neural Networks and Learning Systems

Immediate Impact

42 standout
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Citing Papers

Exploring the environmental pathways and challenges of fluoroquinolone antibiotics: A state-of-the-art review
2024 Standout
Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective
2024 Standout
2 intermediate papers

Works of Wei‐Han Lee being referenced

Model Pruning Enables Efficient Federated Learning on Edge Devices
2022 Standout
Isolation of microalgae with potential for integrated biomass production and nutrient removal from wastewater
2018

Author Peers

Author Last Decade Papers Cites
Wei‐Han Lee 110 45 6 178 72 19 360
Yue Wu 45 34 7 50 27 29 308
Wei Zhang 44 9 82 117 37 30 341
Kai Dong 98 22 78 112 44 34 381
Di Zhang 278 10 23 66 160 21 393
Xia Feng 153 5 5 128 163 36 373
Hao Chen 121 15 21 120 87 26 329
Jing Wang 183 28 10 96 159 24 350
Salman Avestimehr 45 19 3 268 75 34 362
Hongbin Zhu 99 6 2 182 104 32 303
Chenhao Xu 50 10 3 207 80 19 314

All Works

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2026