Standout Papers

Geometry-enhanced molecular representation learning for property predict... 2020 2026 2022 2024284
  1. Geometry-enhanced molecular representation learning for property prediction (2022)
    Xiaomin Fang, Lihang Liu et al. Nature Machine Intelligence
  2. ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding (2020)
    Yu Sun, Shuohuan Wang et al. Proceedings of the AAAI Conference on Artificial Intelligence
  3. Pre-Trained Language Models and Their Applications (2022)
    Haifeng Wang, Jiwei Li et al. Engineering

Immediate Impact

2 from Science/Nature 60 standout
Sub-graph 1 of 21

Citing Papers

Artificial intelligence in drug development
2025 Standout
A Survey on Intelligent Network Operations and Performance Optimization Based on Large Language Models
2025 Standout

Works of Hua Wu being referenced

Pre-Trained Language Models and Their Applications
2022 Standout
Geometry-enhanced molecular representation learning for property prediction
2022 Standout

Author Peers

Author Last Decade Papers Cites
Hua Wu 1054 406 266 293 66 1.7k
William F. Punch 942 417 338 252 45 1.8k
Kangshun Li 646 232 193 357 96 1.5k
Le Song 479 175 469 145 57 1.6k
Monica Bianchini 623 373 161 155 83 1.6k
Dae‐Won Kim 1381 937 333 234 108 2.1k
Geoffrey J. Gordon 1165 503 141 243 84 2.1k
Simon M. Lucas 1282 457 65 186 77 2.0k
Zakariya Yahya Algamal 615 205 374 356 133 1.9k
M. Srinivas 378 144 184 143 45 1.8k
Zhiqiang Wei 372 774 507 465 195 2.2k

All Works

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2026