Immediate Impact

64 standout
Sub-graph 1 of 22

Citing Papers

MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios
2024 Standout
Evolvable graph neural network for system-level incremental fault diagnosis of train transmission systems
2024 Standout
2 intermediate papers

Works of Jacob Bortman being referenced

Bearing fault detection and fault size estimation using fiber-optic sensors
2018
A realistic dynamic model for gear fault diagnosis
2017

Author Peers

Author Last Decade Papers Cites
Jacob Bortman 527 319 300 66 828
Michael Rygaard Hansen 490 311 229 115 769
S. Radkowski 365 416 137 75 733
Mengtao Xu 702 286 266 62 892
Mani Entezami 354 432 138 31 673
Jing Tian 465 540 294 60 984
Chao Zhang 406 171 226 46 888
Nouredine Ouelaa 484 348 184 51 714
Mir Saeed Safizadeh 396 281 322 39 727
Hao Wu 491 196 223 46 692
Yuxiong Li 299 265 183 56 792

All Works

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Rankless by CCL
2026