Standout Papers

Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting 2020 2026 2022 2024218
  1. Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting (2020)
    Hao Peng, Bowen Du et al. Information Sciences

Immediate Impact

63 standout
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Citing Papers

Predicting and compensating for small-sample thermal information data in precision machine tools: A spatial-temporal interactive integration network and digital twin system approach
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Dynamic normalization supervised contrastive network with multiscale compound attention mechanism for gearbox imbalanced fault diagnosis
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2 intermediate papers

Works of Linfeng Du being referenced

Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting
2020 Standout

Author Peers

Author Last Decade Papers Cites
Linfeng Du 85 32 116 141 4 264
Hanhan Deng 49 9 114 163 4 211
Zulong Diao 85 19 158 191 11 315
Haitao Yuan 79 18 145 183 13 312
Mohammad Aslani 46 14 85 131 8 247
Xiaojie Feng 60 9 119 165 7 275
Hoàng Nguyên 53 6 116 172 9 303
Fanyou Wu 30 13 103 90 9 287
Dinithi Nallaperuma 73 28 33 56 6 220
Douglas McIlwraith 22 25 74 98 9 175
Jiexia Ye 25 7 144 168 8 210

All Works

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2026