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Author

Neda Asgarkhani

Observed names: Asgarkhani, Neda, N. Asgarkhani
ORCID: 0000-0002-0756-8438
Observed ORCID: 0000-0002-0756-8438
OpenAlex ID: A5085170428
Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structures
2023 · F. Kazemi, N. Asgarkhani, et al. · Soil Dynamics and Earthquake Engineering · 299
Machine learning-based seismic response and performance assessment of reinforced concrete buildings
2023 · F. Kazemi, N. Asgarkhani, et al. · Archives of Civil and Mechanical Engineering · 245
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Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete
2024 · Torkan Shafighfard, Farzin Kazemi, et al. · Engineering Applications of Artificial Intelligence · 187
Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls
2024 · Farzin Kazemi, Neda Asgarkhani, et al. · Expert Systems with Applications · 167
Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods
2023 · N. Asgarkhani, F. Kazemi, et al. · Engineering Applications of Artificial Intelligence · 155
Machine learning-based prediction of residual drift and seismic risk assessment of steel moment-resisting frames considering soil-structure interaction
2023 · N. Asgarkhani, F. Kazemi, et al. · Computers & Structures · 145
Machine-Learning Methods for Estimating Performance of Structural Concrete Members Reinforced with Fiber-Reinforced Polymers
2024 · Farzin Kazemi, Neda Asgarkhani, et al. · Archives of Computational Methods in Engineering · 128
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RAGN-R: A multi-subject ensemble machine-learning method for estimating mechanical properties of advanced structural materials
2025 · F. Kazemi, A. Ӧzyüksel Çiftçioğlu, et al. · Computers & Structures · 99
Transfer learning on stacked machine-learning model for predicting pull-out behavior of steel fibers from concrete
2025 · Torkan Shafighfard, Neda Asgarkhani, et al. · Engineering Applications of Artificial Intelligence · 96
Predicting seismic response of SMRFs founded on different soil types using machine learning techniques
2022 · F. Kazemi, N. Asgarkhani, et al. · Engineering Structures · 82
Evaluation of approximate methods for estimating residual drift demands in BRBFs
2020 · Neda Asgarkhani, Mansoor Yakhchalian, et al. · Engineering Structures · 61
Development and experimental validation of a novel double-stage yield steel slit damper-buckling restrained brace
2024 · F. Kazemi, N. Asgarkhani, et al. · Engineering Structures · 58
Ensemble machine learning models for estimating mechanical curves of concrete-timber-filled steel tubes
2025 · F. Kazemi, N. Asgarkhani, et al. · Engineering Applications of Artificial Intelligence · 55
Probabilistic assessment of SMRFs with infill masonry walls incorporating nonlinear soil-structure interaction
2022 · F. Kazemi, N. Asgarkhani, et al. · Bulletin of Earthquake Engineering · 51
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Dynamic ensemble-learning model for seismic risk assessment of masonry infilled steel structures incorporating soil-foundation-structure interaction
2025 · N. Asgarkhani, F. Kazemi, et al. · Reliability Engineering & System Safety · 49
Evaluation of deflection amplification factor for steel buckling restrained braced frames
2020 · Masood Yakhchalian, Neda Asgarkhani, et al. · Journal of Building Engineering · 42
An advanced intensity measure for residual drift assessment of steel BRB frames
2021 · Masood Yakhchalian, Mansoor Yakhchalian, et al. · Bulletin of Earthquake Engineering · 41
Enhancing seismic performance of steel buildings having semi-rigid connection with infill masonry walls considering soil type effects
2023 · F. Kazemi, N. Asgarkhani, et al. · Soil Dynamics and Earthquake Engineering · 36
Optimal retrofit strategy using viscous dampers between adjacent RC and SMRFs prone to earthquake-induced pounding
2022 · N. Asgarkhani, F. Kazemi, et al. · Archives of Civil and Mechanical Engineering · 30
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Investigating an Optimal Computational Strategy to Retrofit Buildings with Implementing Viscous Dampers
2022 · Farzin Kazemi, Neda Asgarkhani, et al. · Lecture notes in computer science · 19
Seismic performance assessment of reinforced concrete shear walls using data-driven methods
2026 · N. Asgarkhani, F. Kazemi, et al. · Archives of Civil and Mechanical Engineering · 17
Seismic probabilistic assessment of steel and reinforced concrete structures including earthquake-induced pounding
2024 · F. Kazemi, N. Asgarkhani, et al. · Archives of Civil and Mechanical Engineering · 16
Correction: Machine-Learning Methods for Estimating Performance of Structural Concrete Members Reinforced with Fiber-Reinforced Polymers
2024 · Farzin Kazemi, Neda Asgarkhani, et al. · Archives of Computational Methods in Engineering · 15
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Introducing a Computational Method to Retrofit Damaged Buildings under Seismic Mainshock-Aftershock Sequence
2023 · Farzin Kazemi, Neda Asgarkhani, et al. · Lecture notes in computer science · 12
Active Learning on Ensemble Machine-Learning Model to Retrofit Buildings Under Seismic Mainshock-Aftershock Sequence
2024 · Neda Asgarkhani, Farzin Kazemi, et al. · Lecture notes in computer science · 11
Works count: 45
Citation count: 2,216
H-index: 20
I10-index: 26
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