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2025

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47
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6427
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408
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Engineering and Technology

D-Index
55
Citations
9266
World Ranking
3067
National Ranking
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Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Ümit Ağbulut is a researcher affiliated with Yıldız Technical University in Turkey. Their scientific contributions focus primarily on engineering with a broad engagement in several subfields. These include biomedical engineering, fluid flow and transfer processes, mechanical engineering, renewable energy, sustainability and the environment, and materials chemistry.

Their research addresses key topics such as biodiesel production and applications, advanced combustion engine technologies, catalytic processes in materials science, thermochemical biomass conversion processes, solar thermal and photovoltaic systems, vehicle emissions and performance, as well as lubricants and their additives.

Ümit Ağbulut has published extensively, with a significant number of papers appearing in established venues. Frequent publication outlets include:

  • Energy
  • International Journal of Hydrogen Energy
  • Journal of Thermal Analysis and Calorimetry
  • Fuel
  • Case Studies in Thermal Engineering

Notable recent papers authored or co-authored by them are:

  • Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison (2020), Renewable and Sustainable Energy Reviews
  • Impact of various metal-oxide based nanoparticles and biodiesel blends on the combustion, performance, emission, vibration and noise characteristics of a CI engine (2020), Fuel
  • Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms (2021), Sustainable Production and Consumption

Additionally, related works frequently involve collaborations, with several recurring co-authors who have contributed to their research projects. These frequent collaborators include Suat Sarıdemir, Ali Etem Gürel, Asif Afzal, Saboor Shaik, and C. Ahamed Saleel.

Ümit Ağbulut's work incorporates innovative methodologies such as machine learning algorithms applied to forecasting and prediction models in energy systems and emissions. This is illustrated in publications addressing solar radiation prediction and transportation-related emissions forecasting.

Best Publications

  • Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison

    Ümit Ağbulut;Ali Etem Gürel;Yunus Biçen

  • Impact of various metal-oxide based nanoparticles and biodiesel blends on the combustion, performance, emission, vibration and noise characteristics of a CI engine

    Ümit Ağbulut;Mustafa Karagöz;Suat Sarıdemir;Ahmet Öztürk

  • Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms

    Ümit Ağbulut

  • Electricity production based forecasting of greenhouse gas emissions in Turkey with deep learning, support vector machine and artificial neural network algorithms

    Melahat Sevgül Bakay;Ümit Ağbulut

  • Recent advances in hydrogen production from biomass waste with a focus on pyrolysis and gasification

    Unknown

  • Experimental investigation of combustion, performance and emission characteristics of a diesel engine fuelled with diesel–biodiesel–alcohol blends

    Ümit Ağbulut;Suat Sarıdemir;Serdar Albayrak

  • Investigation on the combined effect of the hydrogen premixing and nanoparticle mixed pyrolysed oil of transformer oil waste in engine characteristics

    Unknown

  • Waste to energy: Production of waste tire pyrolysis oil and comprehensive analysis of its usability in diesel engines

    Mustafa Karagöz;Ümit Ağbulut;Suat Sarıdemir

  • A general view to converting fossil fuels to cleaner energy source by adding nanoparticles

    Ümit Ağbulut;Suat Sarıdemir

  • Production of waste soybean oil biodiesel with various catalysts, and the catalyst role on the CI engine behaviors

    Unknown

  • Optimization of Thermal and Structural Design in Lithium-Ion Batteries to Obtain Energy Efficient Battery Thermal Management System (BTMS): A Critical Review

    H. Fayaz;Asif Afzal;A. D. Mohammed Samee;Manzoore Elahi M. Soudagar

  • Assessment of machine learning, time series, response surface methodology and empirical models in prediction of global solar radiation

    Ali Etem Gürel;Ümit Ağbulut;Yunus Biçen

  • Understanding behaviors of compression ignition engine running on metal nanoparticle additives-included fuels: A control comparison between biodiesel and diesel fuel

    Unknown

  • Technological solutions for boosting hydrogen role in decarbonization strategies and net-zero goals of world shipping: Challenges and perspectives

    Unknown

  • Energy recovery from waste animal fats and detailed testing on combustion, performance, and emission analysis of IC engine fueled with their blends enriched with metal oxide nanoparticles

    Unknown

  • Hydrogen Production by Water Splitting with Support of Metal and Carbon-Based Photocatalysts

    Unknown

  • Different energy storage techniques: recent advancements, applications, limitations, and efficient utilization of sustainable energy

    Unknown

  • Microalgae bio-oil production through pyrolysis and hydrothermal liquefaction: Mechanism and characteristics.

    Unknown

  • Hydrothermal carbonization of food waste as sustainable energy conversion path.

    Unknown

  • Experimental investigation and prediction of performance and emission responses of a CI engine fuelled with different metal-oxide based nanoparticles–diesel blends using different machine learning algorithms

    Ümit Ağbulut;Ali Etem Gürel;Suat Sarıdemir

  • Energy, exergy, economic and sustainability assessments of a compression ignition diesel engine fueled with tire pyrolytic oil−diesel blends

    Mustafa Karagoz;Cuneyt Uysal;Umit Agbulut;Suat Saridemir

  • Effects of high-dosage copper oxide nanoparticles addition in diesel fuel on engine characteristics

    Ümit Ağbulut;Suat Sarıdemir;Upendra Rajak;Fikret Polat

  • Experimental analysis of CPV/T solar dryer with nano-enhanced PCM and prediction of drying parameters using ANN and SVM algorithms

    Mehmet Onur Karaağaç;Alper Ergün;Ümit Ağbulut;Ali Etem Gürel

  • Experimental investigation of fusel oil (isoamyl alcohol) and diesel blends in a CI engine

    Ümit Ağbulut;Suat Sarıdemir;Mustafa Karagöz

  • Prediction of performance, combustion and emission characteristics for a CI engine at varying injection pressures

    Ümit Ağbulut;Mustafa Ayyıldız;Suat Sarıdemir

  • A review of stability, thermophysical properties and impact of using nanofluids on the performance of refrigeration systems

    Gökhan Yıldız;Ümit Ağbulut;Ali Etem Gürel

  • Combustion, performance, vibration and noise characteristics of cottonseed methyl ester–diesel blends fuelled engine

    Suat Sarıdemir;Ümit Ağbulut

  • Exergetic and exergoeconomic analyses of a CI engine fueled with diesel-biodiesel blends containing various metal-oxide nanoparticles

    Mustafa Karagoz;Cuneyt Uysal;Umit Agbulut;Suat Saridemir

  • Performance analysis of using CuO-Methanol nanofluid in a hybrid system with concentrated air collector and vacuum tube heat pipe

    Metin Kaya;Ali Etem Gürel;Ümit Ağbulut;İlhan Ceylan

  • Investigating the role of fuel injection pressure change on performance characteristics of a DI-CI engine fuelled with methyl ester

    Suat Sarıdemir;Ali Etem Gürel;Ümit Ağbulut;Faruk Bakan

Frequent Co-Authors

Upendra Rajak
Upendra Rajak RGM College Of Engineering and Technology
Ataollah Khanlari
Ataollah Khanlari University of Turkish Aeronautical Association
Azim Doğuş Tuncer
Azim Doğuş Tuncer Catalan Institute of Nanoscience and Nanotechnology
Tikendra Nath Verma
Tikendra Nath Verma National Institute Of Technology
Adnan Sözen
Adnan Sözen Gazi University
A. Muthu Manokar
A. Muthu Manokar SRM TRP Engineering College
Ahamed Saleel C
Ahamed Saleel C King Khalid University
M.A. Mujtaba
M.A. Mujtaba University of Engineering and Technology Lahore

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