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akaturk Academic measurement

Academician

GÜZİN ÖZMEN

DOKTOR ÖĞRETİM ÜYESİ (Unvan:Doçent)

SELÇUK ÜNİVERSİTESİ TEKNOLOJİ FAKÜLTESİ BİYOMEDİKAL MÜHENDİSLİĞİ BÖLÜMÜ

  • Ana Dal Mühendislik Temel Alanı
  • Yan Dal Elektrik-Elektronik ve Haberleşme Mühendisliği

A quick look at recorded outputs — details below.

  • Articles 27
  • Projects 0
  • Books 0
  • Proceedings 0
  • Patents 0
  • Artistic 0
Scopus (SJR) Q1 8 Q2 1 Q3 1 Q4 2
WoS (JCR) Q1 1 Q2 5 Q3 1 Q4 1
TR Index 8 articles

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

Top 1% articles 0
Top 10% articles 0
Avg percentile 54.3%
Top 1% share 0.0%
Top 10% share 0.0%

Articles

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

Index filters

27 publications total

Article list

OpenAlex enrichment view — 9 records.

  1. 2026 The Impact of Architectural Components on Deep Learning-Based BCG Artifact Removal DOI 10.1109/ichora69329.2026.11537040 OpenAlex 69.7%
  2. 2025 Binary vs. Multiclass Mental Workload Classification from fNIRS Data: A Deep Learning-Based Subject-Specific Analysis DOI 10.1109/ichora65333.2025.11017192 OpenAlex 11.6%
  3. 2025 Enhancing Signal and Network Integrity: Evaluating BCG Artifact Removal Techniques in Simultaneous EEG-fMRI Data Research Square DOI 10.21203/rs.3.rs-7553208/v1
  4. 2024 The Use of Fmri Regional Analysis to Automatically Detect Adhd Through a 3d Cnn-Based Approach SSRN Electronic Journal DOI 10.2139/ssrn.4689400
  5. 2021 Sound Analysis to Recognize Cattle Vocalization in a Semi-open Barn DergiPark (Istanbul University) OpenAlex 24.0%
  6. 2018 Fonksiyonel MR görüntülerini filtrelemede yeni bir yaklaşım ve depresyon hastalarının sınıflandırılması üzerine etkileri
  7. 2018 A new approach for feature extraction from functional MR images Selçuk-Teknik Dergisi OpenAlex 18.4%
  8. 2017 A new denoising method for fMRI based on weighted three-dimensional wavelet transform Neural Computing and Applications DOI 10.1007/s00521-017-2995-7 OpenAlex 82.8%
  9. 2014 The evaluation of the muscle fatigue using frequency features in the cervical region DOI 10.1109/siu.2014.6830670 OpenAlex 64.4%

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