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Akademisyen

YUSUF UZUNOĞLU

ÖĞRETİM GÖREVLİSİ (DERS VERMEKLE GÖREVLİ)

BİTLİS EREN ÜNİVERSİTESİ ORGANİZE SANAYİ BÖLGESİ MESLEK YÜKSEKOKULU MAKİNE VE METAL TEKNOLOJİLERİ BÖLÜMÜ

  • Ana Dal Mühendislik Temel Alanı
  • Yan Dal Malzeme ve Metalurji Mühendisliği

Kayıtlı çıktılara kısa bakış — ayrıntılar aşağıda.

  • Makale 11
  • Proje 0
  • Kitap 0
  • Bildiri 0
  • Patent 0
  • Sanatsal 0
Scopus (SJR) Q1 2 Q2 0 Q3 1 Q4 1
WoS (JCR) Q1 2 Q2 0 Q3 0 Q4 3
TR Index 1 makale

Alan+yıl+tür normalize OpenAlex yüzdelik — Clarivate ESI / SciVal değildir.

Üst %1 makale 0
Üst %10 makale 2
Ort. yüzdelik 64.7%
Üst %1 payı 0.0%
Üst %10 payı 18.2%

Makaleler

YÖKSİS ve OpenAlex kaynak ayrımıyla makaleler; quartile ve TR Index ile daraltabilirsiniz.

Dizin filtreleri

Toplam 11 yayın

Scopus (SJR)
Q1 2 Q2 0 Q3 1 Q4 1
WoS (JCR)
Q1 2 Q2 0 Q3 0 Q4 3
TR Index
1 makale

Makale listesi

  1. 2026 Development and simulation analysis of a novel aluminum alloy for heat sink applications using explainable artificial intelligence and the Calphad method Applied Thermal Engineering DOI 10.1016/j.applthermaleng.2026.130810 YÖKSİS SJR Q1 JCR Q1 OpenAlex 20.2%
  2. 2025 Investigation of the Effect of Alloying Elements on the Density of Titanium-Based Biomedical Materials Using Explainable Artificial Intelligence Computers and Electronics in Medicine DOI 10.69882/adba.cem.2025013 YÖKSİS OpenAlex üst %10 OpenAlex 94.6%
  3. 2025 Computational Study of the Effect of Aluminum Content on the Thermodynamic Properties and Phase Stabilityof Mg-Al-Zn Alloys ADBA Computer Science DOI 10.69882/adba.cs.2025072 YÖKSİS OpenAlex 50.9%
  4. 2025 High-Accuracy Prediction of Mechanical Properties of Ni-Cr-Fe Alloys Using Machine Learning ADBA Computer Science DOI 10.69882/adba.cs.2025012 YÖKSİS OpenAlex 83.5%
  5. 2025 Investigation of the Impact of Alloying Elements on the Mechanical Properties of Superalloys Using Explainable Artificial Intelligence Chaos and Fractals DOI 10.69882/adba.chf.2025014 YÖKSİS OpenAlex 75.4%
  6. 2025 High-accuracy prediction of the thermo-physical properties of 6xxx series aluminum alloys using explainable artificial intelligence International Journal of Computational Materials Science and Engineering DOI 10.1142/S2047684125500101 YÖKSİS SJR Q3 JCR Q4 OpenAlex 84.7%
  7. 2025 Interpretable Machine Learning and Genetic Algorithm-Based Optimization of Ultimate Tensile Strength And Melting Completion In Alloys Advances in Materials Science DOI 10.2478/adms-2025-0022 YÖKSİS JCR Q4 OpenAlex 52.9%
  8. 2025 Effect of Aluminum and Vanadium Content Variation on the Thermodynamic Properties of Ti–Al–V Alloys Russian Metallurgy DOI 10.1134/S0036029525600142 YÖKSİS SJR Q4 JCR Q4 OpenAlex 50.9%
  9. 2025 Inverse Prediction of the CALPHAD-Modeled Physical Properties of Superalloys Using Explainable Artificial Intelligence and Artificial Neural Networks Bitlis Eren Üniversitesi Fen Bilimleri Dergisi DOI 10.17798/bitlisfen.1586564 YÖKSİS OpenAlex 71.6%
  10. 2022 Kemik Külü ve Uyumlaştırıcının PP/PA6 Matrisli Kompozitlerin Mekanik Özellikleri Üzerine Etkisi International Journal of Innovative Engineering Applications DOI 10.46460/ijiea.1065103 YÖKSİS TR Index OpenAlex 36.8%
  11. 2025 Optimal design of flat plate fin heat sinks using a computational fluid dynamics (CFD) and deep learning (DL)-based ensemble approach with explainable artificial intelligence (XAI) integration Applied Thermal Engineering DOI 10.1016/j.applthermaleng.2025.127547 YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 90.0%

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