Vedat Togan

Vedat Togan

Karadeniz Teknik Üniversitesi

H-index: 19

Asia-Turkey

About Vedat Togan

Vedat Togan, With an exceptional h-index of 19 and a recent h-index of 16 (since 2020), a distinguished researcher at Karadeniz Teknik Üniversitesi, specializes in the field of Optimization, construction management, BIM.

His recent articles reflect a diverse array of research interests and contributions to the field:

Structural Optimization in Building Information Modeling (BIM) Projects Using Visual Programming, Evolutionary Algorithms, and Sustainability Assessment Tools

Automatic landslide detection and visualization by using deep ensemble learning method

Structural Modal Calibration of Historical Masonry Arch Bridge by Using a Novel Deep Neural Network Approach

Predicting Construction Accident Outcomes Using Graph Convolutional and Dual-Edge Safety Networks

Enhancing construction productivity prediction through variational autoencoders and graph attention network

Doğu Karadeniz Bölgesinde planlanan demiryolu güzergâhlarının AHP ve TOPSIS yöntemleriyle sıralanması ve seçimi

Assessing the compatibility of internship choices with career plans in civil engineering education

Comprehensive root cause analysis of construction defects using semisupervised graph representation learning

Vedat Togan Information

University

Position

Professor

Citations(all)

1907

Citations(since 2020)

1058

Cited By

1242

hIndex(all)

19

hIndex(since 2020)

16

i10Index(all)

30

i10Index(since 2020)

24

Email

University Profile Page

Karadeniz Teknik Üniversitesi

Google Scholar

View Google Scholar Profile

Vedat Togan Skills & Research Interests

Optimization

construction management

BIM

Top articles of Vedat Togan

Title

Journal

Author(s)

Publication Date

Structural Optimization in Building Information Modeling (BIM) Projects Using Visual Programming, Evolutionary Algorithms, and Sustainability Assessment Tools

Feyzullah Yavan

Reza Maalek

Vedat Toğan

2024/4/2

Automatic landslide detection and visualization by using deep ensemble learning method

Neural Computing and Applications

Kemal Hacıefendioğlu

Nehir Varol

Vedat Toğan

Ümit Bahadır

Murat Emre Kartal

2024/3/27

Structural Modal Calibration of Historical Masonry Arch Bridge by Using a Novel Deep Neural Network Approach

Iranian Journal of Science and Technology, Transactions of Civil Engineering

Emre Alpaslan

Kemal Hacıefendioğlu

Mehmet Fatih Yılmaz

Gökhan Demir

Fatemeh Mostofi

...

2024/2

Predicting Construction Accident Outcomes Using Graph Convolutional and Dual-Edge Safety Networks

Arabian Journal for Science and Engineering

Fatemeh Mostofi

Vedat Toğan

2023/12/28

Enhancing construction productivity prediction through variational autoencoders and graph attention network

Proceedings of 3rd International Civil Engineering and Architecture Congress (ICEARC’23)

Fatemeh Mostofi

Vedat Toğan

Onur Behzat Tokdemir

2023

Doğu Karadeniz Bölgesinde planlanan demiryolu güzergâhlarının AHP ve TOPSIS yöntemleriyle sıralanması ve seçimi

Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi

Ediz Boz

Ersin Türk

Vedat Toğan

2023

Assessing the compatibility of internship choices with career plans in civil engineering education

Ediz Boz

Vedat Toğan

2023

Comprehensive root cause analysis of construction defects using semisupervised graph representation learning

Journal of Construction Engineering and Management

Fatemeh Mostofi

Onur Behzat Tokdemir

Vedat Toğan

2023/9/1

A data-driven recommendation system for construction safety risk assessment

Journal of Construction Engineering and Management

Fatemeh Mostofi

Vedat Toğan

2023/12/1

Explainable safety risk management in construction with unsupervised learning

Fatemeh Mostofi

Vedat Toğan

2023

Construction safety predictions with multi-head attention graph and sparse accident networks

Automation in Construction

Fatemeh Mostofi

Vedat Toğan

2023/12/1

A novel oppositional teaching learning strategy based on the golden ratio to solve the Time-Cost-Environmental impact Trade-off optimization problems

Expert Systems with Applications

M.A. Eirgash

V. Toğan

2023/3/30

Prioritising and selecting the railway routes planned in the eastern black sea region with the AHP and TOPSIS methods

PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI

Ediz Boz

Ersin Türk

Vedat Toğan

2023

Modified dynamic opposite learning assisted TLBO for solving Time-Cost optimization in generalized construction projects

Structures

Mohammad Azim Eirgash

Vedat Toğan

Tayfun Dede

Hasan Basri Başağa

2023/7/1

Multiedge graph convolutional network for house price prediction

Journal of Construction Engineering and Management

Fatemeh Mostofi

Vedat Toğan

Hasan Basri Başağa

Ahmet Çıtıpıtıoğlu

Onur Behzat Tokdemir

2023/11/1

Time–Cost Trade-Off Problems with Multi-objective Quasi-Oppositional Teaching Learning-Based Optimization

M. A. Eirgash

V. Toğan

T. Dede

2022/4/8

Investigation of global warming potential of concrete with silica fume and blast furnace slag

Iranian Journal of Science and Technology, Transactions of Civil Engineering

Safa Nayır

Ümit Bahadır

Vedat Toğan

2023/10/30

Wood construction damage detection and localization using deep convolutional neural network with transfer learning

European Journal of Wood and Wood Products

Kemal Hacıefendioğlu

Selen Ayas

Hasan Basri Başağa

Vedat Toğan

Fatemeh Mostofi

...

2022/8

Predicting the impact of construction rework cost using an ensemble classifier

Sustainability

Fatemeh Mostofi

Vedat Toğan

Yunus Emre Ayözen

Onur Behzat Tokdemir

2022/11/9

Construction safety hazard recommendation using graph representation learning

Proc., 7th Int. Project and Construction Management Conf.(IPCMC 2022)

Fatemeh Mostofi

VEDAT Toğan

2022

See List of Professors in Vedat Togan University(Karadeniz Teknik Üniversitesi)