Immediate Impact

22 standout
Sub-graph 1 of 8

Citing Papers

AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships
2025 Standout
A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions
2024 Standout
2 intermediate papers

Works of Yushun Dong being referenced

Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective
2023
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
2022

Author Peers

Author Last Decade Papers Cites
Yushun Dong 169 60 50 13 206
Nedim Lipka 170 23 49 11 209
Tom Kenter 221 6 73 12 293
Xingen Wang 76 26 48 12 139
David Alvarez-Melis 223 11 12 8 272
S. M. M. Tahaghoghi 94 22 98 11 182
Jianwei Qian 95 5 40 12 139
Tiziano Fagni 116 6 76 11 229
Zaixi Zhang 229 3 43 10 275
Hongsheng Hu 205 17 43 7 257
Jiancan Wu 130 3 86 14 187

All Works

Loading papers...

Rankless by CCL
2026