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akaturk Academic measurement

Academician

FURKAN ESMERAY

DOKTOR ÖĞRETİM ÜYESİ

MUNZUR ÜNİVERSİTESİ MÜHENDİSLİK FAKÜLTESİ ELEKTRİK-ELEKTRONİK MÜHENDİSLİĞİ BÖLÜMÜ

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

A quick look at recorded outputs — details below.

  • Articles 6
  • Projects 0
  • Books 6
  • Proceedings 3
  • Patents 0
  • Artistic 0
Scopus (SJR) Q1 1 Q2 0 Q3 1 Q4 0
WoS (JCR) Q1 0 Q2 0 Q3 0 Q4 1
TR Index 0 articles

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

Top 1% articles 0
Top 10% articles 0
Avg percentile 40.6%
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

6 publications total

Scopus (SJR)
Q1 1 Q2 0 Q3 1 Q4 0
WoS (JCR)
Q1 0 Q2 0 Q3 0 Q4 1
TR Index
0 articles

Article list

  1. 2026 Forked hybrid architecture combining 1D-CNN and quantum convolutional networks for EEG signal classification Discover Artificial Intelligence DOI 10.1007/s44163-026-01106-5 YÖKSİS SJR Q1 OpenAlex 23.0%
  2. 2018 A New Application Based on GPLVM, LMNN, and NCA for Early Detection of the Stomach Cancer APPLIED ARTIFICIAL INTELLIGENCE DOI 10.1080/08839514.2018.1464285 YÖKSİS SJR Q3 JCR Q4 OpenAlex 61.3%
  3. 2018 Mini-Review: THE CLASSIFICATION STUDIES DONE FOR EARLY DIAGNOSIS OF THE STOMACH CANCER The Online Journal of Science and technology DOI http://www.tojsat.net/journals/tojsat/articles/v08i04/v08i04-11.pdf YÖKSİS
  4. 2018 Classification with Random Forest Based on Local Tangent SpaceAlignment and Neighborhood Preserving Embedding for MSERfeatures: MSER_DFT_LTSA-NPE_RF INTERNATİONAL JOURNAL OF MODERN RESEARCH İN ENGİNEERİNG AND TECHNOLOGY YÖKSİS
  5. 2018 MACHINE LEARNING APPLICATIONS IN DETECTION OF THE BREAST CANCER: MINI-REVIEW The Online Journal of Science and Technology DOI https://scholar.google.com.tr/scholar?hl=tras_sdt=02C5q=furkanesmeraybtnG=d=gs_qabsp=u=23p3DmBLVrAIRmDcJ YÖKSİS
  6. 2018 Classification by Artificial Neural Network according to the Values Affecting Electricity Generation PEERTECHZ JOURNAL OF COMPUTER SCIENCE AND ENGINEERING DOI 10.17352/pjcse.000006 YÖKSİS OpenAlex 37.5%

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