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Academician

YUNUS EMRE KARABACAK

DOÇENT

KARADENİZ TEKNİK ÜNİVERSİTESİ MÜHENDİSLİK FAKÜLTESİ MAKİNE MÜHENDİSLİĞİ BÖLÜMÜ

  • Ana Dal Mühendislik Temel Alanı
  • Yan Dal Makine Mühendisliği

A quick look at recorded outputs — details below.

  • Articles 23
  • Projects 0
  • Books 0
  • Proceedings 0
  • Patents 0
  • Artistic 0
Scopus (SJR) Q1 8 Q2 12 Q3 0 Q4 0
WoS (JCR) Q1 7 Q2 7 Q3 6 Q4 1
TR Index 2 articles

Field+year+type normalized OpenAlex percentiles — not Clarivate ESI / SciVal.

Top 1% articles 0
Top 10% articles 8
Avg percentile 63.3%
Top 1% share 0.0%
Top 10% share 30.8%

Articles

Articles with YÖKSİS and OpenAlex source split; narrow by quartile or TR Index.

Index filters

23 publications total

Scopus (SJR)
Q1 8 Q2 12 Q3 0 Q4 0
WoS (JCR)
Q1 7 Q2 7 Q3 6 Q4 1
TR Index
2 articles

Article list

  1. 2026 Adaptation of machine learning models to saturated flow boiling in cross-collector/distributor heat sink with pin-fins under transient and variable thermal loads International Communications in Heat and Mass Transfer DOI 10.1016/j.icheatmasstransfer.2025.110141 YÖKSİS SJR Q1 JCR Q1 OpenAlex 23.1%
  2. 2026 Experimental and machine learning associated study into the spontaneous combustion susceptibility of the steam coals International Journal of Coal Preparation and Utilization DOI 10.1080/19392699.2026.2672633 YÖKSİS SJR Q2 JCR Q3 OpenAlex 41.8%
  3. 2025 Modeling and optimization of the declineation angle generated by abrasive waterjet multi-pass and forward angling cuttings using machine learning Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering DOI 10.1177/09544089251382283 YÖKSİS SJR Q2 JCR Q3 OpenAlex 8.7%
  4. 2025 An Investigation into the Abrasive Waterjet Cutting of Rocks: Improving the Cutting Performance and Leveraging the Machine Learning Algorithms for Modelling Mining, Metallurgy & Exploration DOI 10.1007/s42461-025-01342-w YÖKSİS SJR Q2 JCR Q2 OpenAlex 7.5%
  5. 2025 Investigating the Effects of Oil Additives on the Tribological Performance of Hydrodynamic Journal Bearings: A Study With Hazelnut Oil in Boundary and Mixed Lubrication Regimes LUBRICATION SCIENCE DOI 10.1002/ls.1725 YÖKSİS SJR Q2 JCR Q3 OpenAlex 44.9%
  6. 2025 A machine learning approach for predicting flexural strength in short carbon fiber reinforced PLA composites INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM DOI 10.1007/s12008-025-02302-w YÖKSİS SJR Q2 JCR Q3 OpenAlex 47.4%
  7. 2024 Predicting mechanical behavior of different thin-walled tubes using data-driven models Materials Today Communications DOI 10.1016/j.mtcomm.2024.109998 YÖKSİS SJR Q1 JCR Q2 OpenAlex 89.1%
  8. 2024 Intelligent milling tool wear estimation based on machine learning algorithms Journal of Mechanical Science and Technology DOI 10.1007/s12206-024-0131-z YÖKSİS SJR Q2 JCR Q3 OpenAlex top 10% OpenAlex 95.3%
  9. 2024 Machine-learning-based modeling of saturated flow boiling in pin-fin micro heat sinks with expanding flow passages International Communications in Heat and Mass Transfer DOI 10.1016/j.icheatmasstransfer.2024.107870 YÖKSİS SJR Q1 JCR Q1 OpenAlex 77.3%
  10. 2024 Condition monitoring of internal combustion engines with vibration signals and fault detection by using machine learning techniques International Journal of Automotive Engineering and Technologies DOI 10.18245/ijaet.1251886 YÖKSİS TR Index OpenAlex 71.2%
  11. 2023 Machine learning-based prediction of friction torque and friction coefficient in statically loaded radial journal bearings Tribology International DOI 10.1016/j.triboint.2023.108592 YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.4%
  12. 2023 Triboinformatic modeling of the friction force and friction coefficient in a cam-follower contact using machine learning algorithms Tribology International DOI 10.1016/j.triboint.2023.108336 YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 92.0%
  13. 2023 Assessing the Influence of Micro Lubricant Additives on Worm Gearbox Power Consumption: A Tribological Investigation Utilizing Hazelnut Oil-Based Lubricants Tribology Transactions DOI 10.1080/10402004.2023.2240869 YÖKSİS SJR Q2 JCR Q2 OpenAlex 31.4%
  14. 2023 Prediction of friction coefficient and torque in self-lubricating polymer radial bearings produced by additive manufacturing: A machine learning approach Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology DOI 10.1177/13506501231196355 YÖKSİS SJR Q2 JCR Q3 OpenAlex 76.3%
  15. 2023 Deep learning-based CNC milling tool wear stage estimation with multi-signal analysis Eksploatacja i Niezawodność – Maintenance and Reliability DOI 10.17531/ein/168082 YÖKSİS SJR Q2 JCR Q2 OpenAlex 89.1%
  16. 2023 A New Bearing Fault Diagnosis Approach based on Common Spatial Pattern Features Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi DOI 10.28948/ngumuh.1330864 YÖKSİS OpenAlex 39.6%
  17. 2022 Investigation of Tribological Properties of TiO2, MoS2 and CaF2 Particles as Vegetable Oil Additives and Their Effects on Gearbox Performance Journal of Bio- and Tribo-Corrosion DOI 10.1007/s40735-022-00664-2 YÖKSİS SJR Q2 OpenAlex 54.4%
  18. 2022 Intelligent worm gearbox fault diagnosis under various working conditions using vibration, sound and thermal features Applied Acoustics DOI 10.1016/j.apacoust.2021.108463 YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 97.8%
  19. 2022 Experimental investigation of efficiency of worm gears and modeling of power loss through artificial neural networks Measurement DOI 10.1016/j.measurement.2022.111756 YÖKSİS JCR Q1 OpenAlex 81.8%
  20. 2022 Common spatial pattern-based feature extraction and worm gear fault detection through vibration and acoustic measurements Measurement DOI 10.1016/j.measurement.2021.110366 YÖKSİS JCR Q1 OpenAlex top 10% OpenAlex 91.1%

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