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20222026
most citedDisruption Precursor Onset Time Study Based on Semi-supervised Anomaly Detection

11 citations · 19 across the 6 of their papers we have counts for

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physics.plasm-ph2022★ 2 cited

Transferable Cross-Tokamak Disruption Prediction with Deep Hybrid Neural Network Feature Extractor

Wei Zheng, Fengming Xue, Ming Zhang +12

Predicting disruptions across different tokamaks is a great obstacle to overcome. Future tokamaks can hardly tolerate disruptions at high performance discharge. Few disruption disc…