Standout Papers

Potential, challenges and future directions for deep learning in prognostics and health man... 2019 2026 2021 2023 305
  1. Potential, challenges and future directions for deep learning in prognostics and health management applications (2020)
    Olga Fink, Qin Wang et al. Engineering Applications of Artificial Intelligence
  2. Blockchain for the IoT and industrial IoT: A review (2019)
    Qin Wang, Xinqi Zhu et al. Internet of Things

Immediate Impact

2 from Science/Nature 60 standout
Sub-graph 1 of 23

Citing Papers

Global and regional patterns of soil metal(loid) mobility and associated risks
2025 Standout
Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
2024 Standout
2 intermediate papers

Works of Qin Wang being referenced

Potential, challenges and future directions for deep learning in prognostics and health management applications
2020 Standout

Author Peers

Author Last Decade Papers Cites
Qin Wang 526 580 236 248 150 2.2k
Tong Li 548 434 542 170 177 3.1k
Weiwei Jiang 530 389 532 266 119 2.6k
Minghua Chen 966 846 165 181 178 2.9k
Liang Liang 638 577 421 250 180 2.7k
Gareth W. Peters 320 322 440 142 202 2.6k
Rong Chen 257 378 1060 346 142 3.0k
Bin Wang 400 296 107 415 194 1.9k
Jun Wang 365 838 454 77 144 1.9k
George S. Fishman 159 298 390 204 93 3.0k
Bo Sun 1125 285 145 414 127 2.4k

All Works

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Rankless by CCL
2026