Sujith Mangalathu, Ph.D

Alıntı yapanlar

	Hepsi	2020 yılından bugüne
Alıntılar	6199	5793
h-endeksi	37	35
i10-endeksi	71	68

1800

900

450

1350

20172018201920202021202220232024202559 115 180 291 578 1305 1430 1726 456

Genel erişim

Tümünü görüntüle

8 makale

9 makale

genel erişime açık olanlar

genel erişime açık olmayanlar

Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Jong-Su JeonAssociate Professor of Civil and Environmental Engineering, Hanyang Universityhanyang.ac.kr üzerinde doğrulanmış e-posta adresine sahip
Reginald DesRochesDean of Engineering, Rice Universityrice.edu üzerinde doğrulanmış e-posta adresine sahip
Seong-Hoon HwangAssistant Professor, Kumoh National Institute of Technologykumoh.ac.kr üzerinde doğrulanmış e-posta adresine sahip
De-Cheng FengProfessor, School of Civil Engineering, Southeast University, Chinaseu.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Pengpeng NiProfessor of Geotechnical Engineering, Sun Yat-sen Universitymail.sysu.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Robin Davis P.Assistant Professor of Civil Engineering National Institute of Technology Calicutnitc.ac.in üzerinde doğrulanmış e-posta adresine sahip
Henry V Burton Ph.D., S.E.Associate Professor, University of California, Los Angelesseas.ucla.edu üzerinde doğrulanmış e-posta adresine sahip
Muhamed Safeer Pandikkadavath, PhDNational Institute of Technology Calicutnitc.ac.in üzerinde doğrulanmış e-posta adresine sahip
Farahnaz SoleimaniAssistant Professor, Oregon State Universitygatech.edu üzerinde doğrulanmış e-posta adresine sahip
Surendra Nadh SomalaAssociate Professor, Indian Institute of Technology Hyderabadiith.ac.in üzerinde doğrulanmış e-posta adresine sahip
Mengdie ChenHanyang Universityhanyang.ac.kr üzerinde doğrulanmış e-posta adresine sahip
Kamrul IslamPolytechnique Montrealpolymtl.ca üzerinde doğrulanmış e-posta adresine sahip
Anisha AGovernment Engineering College, Palakkadgecskp.ac.in üzerinde doğrulanmış e-posta adresine sahip
Khondaker Sakil Ahmed, PhD, PEng,...Professor (Assoc), Department of Civil Eng, MIST, BSc (BUET), PhD (National University of Singapore)ce.mist.ac.bd üzerinde doğrulanmış e-posta adresine sahip
Bilal AhmedPh.D. Applied Mechanics and Materialsnyu.edu üzerinde doğrulanmış e-posta adresine sahip
Nafiz Imtiaz KhanPhD Student, UC Davisucdavis.edu üzerinde doğrulanmış e-posta adresine sahip
Jesika RahmanPhD Student, Department of Civil Engineering, University of Calgary, AB, Canadaucalgary.ca üzerinde doğrulanmış e-posta adresine sahip
Zhengxiang YiApplied Scientist, Amazong.ucla.edu üzerinde doğrulanmış e-posta adresine sahip
Gang HUHarbin Institute of Technology (Shenzhen)hit.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Tharaka GunawardenaThe University of Melbourneunimelb.edu.au üzerinde doğrulanmış e-posta adresine sahip

Takip et

Sujith Mangalathu, Ph.D

Mangalathu, Mylamkulam

gatech.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Machine Learning Statistical Modeling Risk Assessment Probabilistic Methods


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach S Mangalathu, SH Hwang, JS Jeon Engineering Structures 219, 110927, 2020	699	2020
Classification of failure mode and prediction of shear strength for reinforced concrete beam-column joints using machine learning techniques S Mangalathu, JS Jeon Engineering Structures 160, 85-94, 2018	342	2018
Interpretable XGBoost-SHAP machine-learning model for shear strength prediction of squat RC walls DC Feng, WJ Wang, S Mangalathu, E Taciroglu Journal of Structural Engineering 147 (11), 04021173, 2021	303	2021
Data-driven machine-learning-based seismic failure mode identification of reinforced concrete shear walls S Mangalathu, H Jang, SH Hwang, JS Jeon Engineering Structures 208, 110331, 2020	282	2020
Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach J Rahman, KS Ahmed, NI Khan, K Islam, S Mangalathu Engineering Structures 233, 111743, 2021	267	2021
Artificial neural network based multi-dimensional fragility development of skewed concrete bridge classes S Mangalathu, G Heo, JS Jeon Engineering Structures 162, 166-176, 2018	259	2018
Classifying earthquake damage to buildings using machine learning S Mangalathu, H Sun, CC Nweke, Z Yi, HV Burton Earthquake Spectra 36 (1), 183-208, 2020	255	2020
Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements DC Feng, WJ Wang, S Mangalathu, G Hu, T Wu Engineering Structures 235, 111979, 2021	249	2021
Machine learning–based failure mode recognition of circular reinforced concrete bridge columns: Comparative study S Mangalathu, JS Jeon Journal of Structural Engineering 145 (10), 04019104, 2019	244	2019
Rapid seismic damage evaluation of bridge portfolios using machine learning techniques S Mangalathu, SH Hwang, E Choi, JS Jeon Engineering Structures 201, 109785, 2019	184	2019
Machine learning-based approaches for seismic demand and collapse of ductile reinforced concrete building frames SH Hwang, S Mangalathu, J Shin, JS Jeon Journal of Building Engineering 34, 101905, 2021	168	2021
Critical uncertainty parameters influencing seismic performance of bridges using Lasso regression S Mangalathu, JS Jeon, R DesRoches Earthquake Engineering and Structural Dynamics 47 (3), 784-801, 2018	163	2018
Explainable machine learning models for punching shear strength estimation of flat slabs without transverse reinforcement S Mangalathu, H Shin, E Choi, JS Jeon Journal of Building Engineering 39, 102300, 2021	140	2021
Stripe‐based fragility analysis of multispan concrete bridge classes using machine learning techniques S Mangalathu, JS Jeon Earthquake Engineering & Structural Dynamics 48 (11), 1238-1255, 2019	134	2019
Predicting the dissolution kinetics of silicate glasses using machine learning NM Krishnan, S Mangalathu, MM Smedskjaer, A Tandia, H Burton, ... Journal of Non-Crystalline Solids 487, 37-45, 2018	133	2018
PERFORMANCE BASED GROUPING AND FRAGILITY ANALYSIS OF BOX-GIRDER BRIDGES IN CALIFORNIA S Mangalathu Georgia Institute of Technology, 2017	117	2017
Deep learning-based classification of earthquake-impacted buildings using textual damage descriptions S Mangalathu, HV Burton International Journal of Disaster Risk Reduction 36, 101111, 2019	116	2019
Machine-learning interpretability techniques for seismic performance assessment of infrastructure systems S Mangalathu, K Karthikeyan, DC Feng, JS Jeon Engineering Structures 250, 112883, 2022	100	2022
Parameterized seismic fragility curves for curved multi-frame concrete box-girder bridges using Bayesian parameter estimation JS Jeon, S Mangalathu, J Song, R Desroches Journal of Earthquake Engineering 23 (6), 954-979, 2019	97	2019
ANCOVA-based grouping of bridge classes for seismic fragility assessment S Mangalathu, JS Jeon, JE Padgett, R DesRoches Engineering Structures 123, 379-394, 2016	94	2016

Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.

Makaleler 1–20

Yıllık alıntı sayısı

Mükerrer alıntılar

Birleştirilmiş alıntılar

Katkıda bulunan yazar ekleKatkıda bulunan yazarlar

Takip et

Alıntı yapanlar

Katkıda bulunan yazarlar