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Academician

COŞKU ÖKSÜZ

Doktor Öğretim Üyesi

İzmir Bakırçay Üniversitesi Mühendislik Ve Mimarlık Fakültesi Elektrik-Elektronik Mühendisliği Bölümü

Research topics OpenAlex
  1. Ana Dal Mühendislik Temel Alanı
  2. Yan Dal Elektrik-Elektronik ve Haberleşme Mühendisliği
Keywords YÖKSİS
Articles 12 YÖKSİS 12 · OpenAlex 0 Total citations 125 h-index 3 · OpenAlex Q1 articles 4 Scopus · WoS Q1 1 Best field rank #967 / 3,214 Keyword · top 30.1% Co-authors 14 4 Turkish institutions

Citation impact

OpenAlex YÖKSİS articles matched in OpenAlex: 10
h-index 3 Percentile in Türkiye: 43 #231 of 431 at their university by h-index
i10-index
2
Total citations
125
Top 33% in Türkiye
Per article
12.5
FWCI
3.39
1.00 = world average
World top 1%
0
World top 10%
4

Most cited articles

  1. Brain tumor classification using the fused features extracted from expanded tumor region 2022 world top 10% 91 citations
  2. An integrated convolutional neural network with attention guidance for improved performance of medical image classification 2024 world top 10% 22 citations
  3. COVID-19 detection with severity level analysis using the deep features, and wrapper-based selection of ranked features 2021 6 citations
How is this computed?

h-index and citations are computed from the citation counts of this academic’s YÖKSİS articles matched in OpenAlex (not Google Scholar, WoS or Scopus). Unmatched articles are not included. h-index on the OpenAlex author profile: 6.

Field ranking

YÖKSİS ?
Keyword rankings 3

Collaboration network

From the author lists of YÖKSİS publication records. Duplicate records of a work count once; institutions are co-authors’ current YÖKSİS affiliations.

Co-authors
14
With an akaturk profile
11
Turkish institutions
4
Co-authored works
%75

Academic co-authors 11

  1. OĞUZHAN URHAN Profesör · Kocaeli Üniversitesi 8
  2. MEHMET KEMAL GÜLLÜ Profesör · İzmir Bakırçay Üniversitesi same university 6
  3. ÖZGÜR ÇAKIR Doçent · Kocaeli Üniversitesi 3
  4. DEMET DOĞAN Doktor Öğretim Üyesi · İstanbul Okan Üniversitesi 2
  5. ALİCAN KURAN Doktor Öğretim Üyesi · Kocaeli Üniversitesi 1
  6. BÜNYAMİN ECE Doçent · Kastamonu Üniversitesi 1
  7. BÜŞRA YAPRAK BAYRAK Doçent · Kocaeli Üniversitesi 1
  8. DEMET DOĞAN Profesör · Sağlık Bilimleri Üniversitesi 1
  9. FATİH MUTLU Doçent · Kocaeli Üniversitesi 1
  10. ZÜHAL GÜLLÜ Doktor Öğretim Üyesi · İstanbul Okan Üniversitesi 1
Show all (11)
  1. İSMAİL TAŞKENT Doçent · Kastamonu Üniversitesi 1

National collaboration 4 institutions

Within own university6 joint works · İzmir Bakırçay Üniversitesi

  1. Kocaeli Üniversitesi 8 works · 5 academics
  2. İstanbul Okan Üniversitesi 3 works · 2 academics
  3. Kastamonu Üniversitesi 1 works · 2 academics
  4. Sağlık Bilimleri Üniversitesi 1 works · 1 academics

Other co-authors (incl. international) 3

ARTUN NARTERMUSTAFA KOYUNSİMGE ŞAHİN

Authors without an akaturk profile (international researchers, retired or former academics, students, clinicians) are grouped by name spelling; short forms such as “Gulluce M.” join the single full name they match.

Indexes and citation percentiles

?
TR Index 0 articles
OpenAlex citation percentile
Top 1%0
Top 10%4
Avg · n 10 %73.5
Other counts

Scopus (SJR)

  • YÖKSİS rows 9

WoS (JCR)

  • YÖKSİS rows 10

Articles

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

12articles

Journals with publications

10 journals

Narrow down

Scopus (SJR)
Q14 Q25 Q30 Q40
WoS (JCR)
Q11 Q27 Q31 Q41
TR Index
0articles

Article list

  1. 2026 CT-Derived Radiomic Features for the Non-Invasive Differentiation of Mediastinal Lymphadenopathy in Lung Cancer and Sarcoidosis Biomedicines DOI 10.3390/biomedicines14061327 YÖKSİS SJR Q1 JCR Q2 OpenAlex 62.7%
  2. 2026 Differentiation of Benign and Malignant Parotid Gland Tumors Using T2-Weighted MRI–Based Radiomics: The Role of Feature Selection and Dimensionality Reduction Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology DOI 10.1016/j.oooo.2026.04.021 YÖKSİS SJR Q2 JCR Q2 OpenAlex 39.5%
  3. 2026 Disagreement-Guided Knowledge Distillation for Efficient Kidney Segmentation in Abdominal CT Applied Sciences DOI 10.3390/app16115573 YÖKSİS SJR Q2 JCR Q2 OpenAlex 55.5%
  4. 2026 I2IReg–ClfNet: a cascaded multi-task deep learning framework for ROI-aware kidney stone detection in abdominal CT images Biomedical Signal Processing and Control DOI 10.1016/j.bspc.2026.109857 YÖKSİS SJR Q1 JCR Q2 OpenAlex top 10% OpenAlex 97.9%
  5. 2026 Prospective pilot evaluation of a deep learning model for kidney stone detection on CT using a web-based workflow platform International Urology and Nephrology DOI 10.1007/s11255-026-05057-9 YÖKSİS SJR Q2 JCR Q2 OpenAlex top 10% OpenAlex 97.9%
  6. 2026 CT-Based Radiomic Signatures Associated with Serum CEA Status in Colon Cancer Diagnostics DOI 10.3390/diagnostics16081221 YÖKSİS SJR Q2 JCR Q1 OpenAlex 40.2%
  7. 2026 Slice-Level Classification of Kidney Organ Presence Using CNN–ViT Features: Toward Clinical Pre-Screening Journal of Polytechnic DOI 10.2339/politeknik.1750335 YÖKSİS JCR Q4 OpenAlex 83.5%
  8. 2024 An integrated convolutional neural network with attention guidance for improved performance of medical image classification Neural Computing and Applications DOI 10.1007/s00521-023-09164-x YÖKSİS SJR Q1 JCR Q2 OpenAlex top 10% OpenAlex 93.3%
  9. 2022 Brain tumor classification using the fused features extracted from expanded tumor region Biomedical Signal Processing and Control DOI 10.1016/j.bspc.2021.103356 YÖKSİS SJR Q1 JCR Q2 OpenAlex top 10% OpenAlex 96.2%
  10. 2021 COVID-19 detection with severity level analysis using the deep features, and wrapper-based selection of ranked features Concurrency and Computation: Practice and Experience DOI 10.1002/cpe.6802 YÖKSİS SJR Q2 JCR Q3 OpenAlex 68.5%
  11. 2021 Efficientnet-B0 Based Single Stage and Multi-Scale Object Detection Model for Localization of Low-Grade Gliomas and Detection of 1p/19q Codeletion Status Artificial Intelligence Theory and Applications DOI http://aitajournal.com/special-issues/Volume-1-Special-Issue-Full-Articles.pdf YÖKSİS
  12. 2021 A Two-Headed Deep Learning Framework for Predicting Severity of COVID-19 Disease Artificial Intelligence Theory and Applications DOI https://dergipark.org.tr/en/pub/aita/issue/70791/1137991 YÖKSİS

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