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Academician profile · DOKTOR ÖĞRETİM ÜYESİ (Unvan:Doçent)

AYBİKE ÖZYÜKSEL ÇİFTÇİOĞLU

MANİSA CELÂL BAYAR ÜNİVERSİTESİ

  • Ana Dal Mühendislik Temel Alanı
  • Yan Dal İnşaat Mühendisliği
  • MÜHENDİSLİK VE DOĞA BİLİMLERİ FAKÜLTESİ
  • İNŞAAT MÜHENDİSLİĞİ BÖLÜMÜ
Articles YÖKSİS 37
Projects 1
Books 5
Proceedings 16
Patents 1
Artistic 1
Scopus (SJR)
Q1 20 Q2 8 Q3 1 Q4 1
WoS (JCR)
Q1 11 Q2 13 Q3 3 Q4 1
TR Index 5 articles

Scopus (SJR)

WoS (JCR)

TR Index

5 articles

37 publications total

Articles

  1. 2026 Machine learning–based causal inference framework for assessing the carbon footprint of sustainable concrete mixtures Journal of Building Engineering DOI 10.1016/j.jobe.2026.116321
  2. 2026 Interpretable prediction of failure strength in high-strength steel T-joints using symbolic regression International Journal of Production Research DOI 10.1080/00207543.2026.2695241
  3. 2026 Buckling and post-buckling analysis of beams with geometric imperfections: force-based formulation Archive of Applied Mechanics DOI 10.1007/s00419-026-03123-3
  4. 2026 Parameter measurement sensitivity in disturbed rock masses: A machine learning framework for slope stability prediction Environmental Earth Sciences DOI 10.1007/s12665-026-13024-x
  5. 2026 A novel ensemble regressor and causal analysis for predicting the compressive strength of steel fiber-reinforced concrete Ain Shams Engineering Journal DOI 10.1016/j.asej.2026.104196
  6. 2026 A Novel Stacking Ensemble Framework for Predicting Workability of Cement-Superplasticizer Systems With SHAP and LIME Interpretability IEEE Access DOI 10.1109/ACCESS.2026.3719449
  7. 2025 Exploring failure mechanisms in reinforced concrete slab-column joints: Machine learning and causal analysis Engineering Failure Analysis DOI 10.1016/j.engfailanal.2025.109549
  8. 2025 Grey wolf optimizer integrated within boosting algorithm: Application in mechanical properties prediction of ultra high-performance concrete including carbon nanotubes Applied Materials Today DOI 10.1016/j.apmt.2025.102601
  9. 2025 RAGN-R: A multi-subject ensemble machine-learning method for estimating mechanical properties of advanced structural materials Computers & Structures DOI 10.1016/j.compstruc.2025.107657
  10. 2025 Machine learning based shear strength prediction in reinforced concrete beams using Levy flight enhanced decision trees Scientific Reports DOI 10.1038/s41598-025-12359-y
  11. 2025 COVID-19 chest CT scan image segmentation based on chaotic gravitational search algorithm Evolving Systems DOI 10.1007/s12530-024-09634-0
  12. 2024 RAGN-L: A stacked ensemble learning technique for classification of Fire-Resistant columns EXPERT SYSTEMS WITH APPLICATIONS DOI 10.1016/j.eswa.2023.122491
  13. 2024 Machine learning approach to predict the mechanical properties of cementitious materials containing carbon nanotubes Developments in the Built Environment DOI 10.1016/j.dibe.2024.100494
  14. 2024 Fire resistance evaluation through synthetic fire tests and generative adversarial networks Frontiers of Structural and Civil Engineering DOI 10.1007/s11709-024-1052-8
  15. 2024 Taguchi-enhanced Grey Wolf Optimizer for robust design of cellular beams Mechanics Based Design of Structures and Machines DOI 10.1080/15397734.2023.2262564
  16. 2024 Enhancing Structural Evaluation: Machine Learning Approaches for Inadequate Reinforced Concrete Frames Iranian Journal of Science and Technology, Transactions of Civil Engineering DOI 10.1007/s40996-024-01438-1
  17. 2024 Assessing Column Stability: A Comparative Study of Machine Learning Regression Models for Shear Strength Prediction Journal of Turkish Operations Management DOI 10.56554/jtom.1401261
  18. 2024 Identifying and estimating causal effects of bridge failures from observational data Journal of Infrastructure Intelligence and Resilience DOI 10.1016/j.iintel.2023.100068
  19. 2024 A Simulation Study on the Performance of Jacket Type Offshore Structures Using Machine Learning Algorithms Journal of Maritime Research DOI https://www.jmr.unican.es/index.php/jmr/article/view/892
  20. 2023 Estimation of Natural Frequencies of Pipe–Fluid–Mass System by Using Causal Discovery Algorithm Arabian Journal for Science and Engineering DOI 10.1007/s13369-022-07549-z

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