| Load-carrying capacity of locally corroded steel plate girder ends using artificial neural network S Tohidi, Y Sharifi Thin-Walled Structures 100, 48-61, 2016 | 100 | 2016 |
| Neural networks for inelastic distortional buckling capacity assessment of steel I-beams S Tohidi, Y Sharifi Thin-Walled Structures 94, 359-371, 2015 | 95 | 2015 |
| Lateral-torsional buckling capacity assessment of web opening steel girders by artificial neural networks—elastic investigation Y Sharifi, S Tohidi Frontiers of Structural and Civil Engineering 8 (2), 167-177, 2014 | 64 | 2014 |
| Inelastic lateral-torsional buckling capacity of corroded web opening steel beams using artificial neural networks S Tohidi, Y Sharifi The IES Journal Part A: Civil & Structural Engineering 8 (1), 24-40, 2015 | 49 | 2015 |
| Ultimate capacity assessment of web plate beams with pitting corrosion subjected to patch loading by artificial neural networks Y Sharifi, S Tohidi Advanced Steel Construction 10 (3), 325-350, 2014 | 41 | 2014 |
| A new predictive model for restrained distortional buckling strength of half-through bridge girders using artificial neural network S Tohidi, Y Sharifi KSCE Journal of Civil Engineering 20, 1392-1403, 2016 | 35 | 2016 |
| Empirical modeling of distortional buckling strength of half-through bridge girders via stepwise regression method S Tohidi, Y Sharifi Advances in Structural Engineering 18 (9), 1383-1397, 2015 | 29 | 2015 |
| Ultimate compressive strength of deteriorated steel web plate with pitting and uniform corrosion wastage Y Sharifi, S Tohidi, JK Paik Scientia Iranica 23 (2), 486-499, 2016 | 22 | 2016 |
| Restrained distortional buckling capacity of half-through bridge girders S Tohidi, Y Sharifi The IES Journal Part A: Civil & Structural Engineering 7 (3), 163-173, 2014 | 16 | 2014 |
| Flexural distortional strength of steel beams determined by finite-element modelling S Tohidi, Y Sharifi Proceedings of the Institution of Civil Engineers-Structures and Buildings …, 2018 | 4 | 2018 |
