Immediate Impact

23 standout
Sub-graph 1 of 9

Citing Papers

Predicting the impacts of urban development on urban thermal environment using machine learning algorithms in Nanjing, China
2024 Standout
A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China
2024 Standout
2 intermediate papers

Works of E. Tulunay being referenced

Forecasting total electron content maps by neural network technique
2006
Forecasting of ionospheric critical frequency using neural networks
1997

Author Peers

Author Last Decade Papers Cites
E. Tulunay 341 173 216 28 397
А. В. Козлов 283 198 146 32 399
Артем Веснин 359 150 252 29 407
Cemil B. Erol 303 209 259 14 368
W. Hausleitner 156 139 126 18 386
Qiaoli Kong 138 188 151 35 451
Masa‐yuki Yamamoto 227 60 176 45 356
B.O. Adebesin 408 164 200 55 447
Marcos Díaz 234 141 89 44 391
Igino Coco 398 128 284 49 452
Dennis D. McCarthy 159 151 80 33 425

All Works

Loading papers...

Rankless by CCL
2026