Immediate Impact

9 standout
Sub-graph 1 of 5

Citing Papers

Advancing water quality assessment and prediction using machine learning models, coupled with explainable artificial intelligence (XAI) techniques like shapley additive explanations (SHAP) for interpreting the black-box nature
2024 Standout
A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations (SHAP)
2022 Standout
1 intermediate paper

Works of A. Kryukov being referenced

Effect of irradiation temperature in PWR RPV materials and its inclusion in semi-mechanistic model
2005

Author Peers

Author Last Decade Papers Cites
A. Kryukov 339 141 49 79 42 378
D. Yu. Erak 391 172 42 105 34 432
K. Fukaya 334 206 50 54 48 425
Yuji Nagae 219 267 83 42 52 388
H.-W. Viehrig 199 199 31 55 24 350
Jinya Katsuyama 182 232 40 127 72 375
S. Tähtinen 296 201 60 51 28 357
J.L. Straalsund 367 200 73 91 31 435
J.E. Flinn 289 244 59 21 47 403
S. Van Dyck 363 172 122 100 26 445
S. N. Votinov 385 180 88 44 32 432

All Works

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Rankless by CCL
2026