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akaturk Academic measurement
Articles 10 YÖKSİS 10 · OpenAlex 0 Total citations 44 h-index 4 · OpenAlex OpenAlex coverage %90 matched 9 / 10 Q1 articles 2 Scopus · WoS Q1 2 Co-authors 13 3 Turkish institutions

Citation impact

Citation counts of the articles matched in OpenAlex, citing publications from Crossref and the Stanford/Elsevier list. Sources are shown separately and never added up.

OpenAlex YÖKSİS articles matched in OpenAlex: 9
h-index 4 Percentile in Türkiye: 52 #137 of 362 at their university by h-index
i10-index
2
Total citations
44
Top 50% in Türkiye
Per article
4.9
FWCI
0.53
1.00 = world average
World top 1%
0
World top 10%
0
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.

Citing publications Crossref 5 publications citing 10 DOI-bearing articles
  • 2020 1
  • 2021 3
  • 2025 1
  1. DOI 10.21203/rs.3.rs-7800826/v1 2025
  2. DOI 10.1007/s11831-021-09617-3 2021
  3. DOI 10.1007/978-3-030-66840-2_39 2021
  4. DOI 10.1016/j.csbj.2021.07.003 2021
  5. DOI 10.1093/jamia/ocaa212 2020
Where does this list come from?

Extracted from the reference lists in Crossref’s public March 2026 data file; 20.3% of the file has been processed, so the list may be incomplete. Crossref citations are never added to or compared with the OpenAlex citation counts; the two sources have different coverage.

Works 10

YÖKSİS and OpenAlex records: index distribution, journals published in, a filterable article list and the other output types.

Indexes and citation percentiles

?
TR Index 1 articles
OpenAlex citation percentile
Top 1%0
Top 10%0
Avg · n 9 %70.0
Other counts

Scopus (SJR)

  • YÖKSİS rows 7

WoS (JCR)

  • YÖKSİS rows 6

Articles

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

10articles

Journals with publications

9 journals

Narrow down

Scopus (SJR)
Q12 Q23 Q32 Q40
WoS (JCR)
TR Index

Article list

  1. 2026 Explainable machine learning and extreme value analysis for precipitation projections in coastal Eastern Mediterranean Türkiye Theoretical and Applied Climatology DOI 10.1007/s00704-026-06560-w YÖKSİS SJR Q2 JCR Q3 OpenAlex 83.7%
  2. 2026 Comparative deep learning analysis of pulp stone detection in restored and healthy teeth on panoramic radiographs Scientific Reports DOI 10.1038/s41598-026-73978-7 YÖKSİS SJR Q1 JCR Q1
  3. 2026 Interpretable machine learning analysis of nonlinear error amplification under time pressure and positional ambiguity in elite blitz chess Scientific Reports DOI 10.1038/s41598-026-59689-z YÖKSİS SJR Q1 JCR Q1 OpenAlex 67.3%
  4. 2026 Identification of a Core SASP Gene Signature for Tumor Classification Using Pan-Cancer Machine Learning Analysis Journal of Polytechnic DOI 10.2339/politeknik.1844237 YÖKSİS JCR Q4 OpenAlex 62.4%
  5. 2023 Network neighborhood operates as a drug repositioning method for cancer treatment PeerJ DOI 10.7717/peerj.15624 YÖKSİS OpenAlex 64.9%
  6. 2023 Application of network embedding and transcriptome data in supervised drug repositioning International Journal of Information Technology DOI 10.1007/s41870-023-01302-x YÖKSİS SJR Q2 OpenAlex 68.3%
  7. 2023 NMSDR: Drug repurposing approach based on transcriptome data and network module similarity Molecular Informatics DOI 10.1002/minf.202200077 YÖKSİS SJR Q2 JCR Q2 OpenAlex 39.5%
  8. 2020 Akciğer ve Prostat Kanseri için İlaç Yeniden Konumlandırmanın Uygulanması European Journal of Science and Technology DOI 10.31590/ejosat.823405 YÖKSİS TR Index OpenAlex 81.6%
  9. 2019 Predicting drug synergy for precision medicine using network biology and machine learning Journal of Bioinformatics and Computational Biology DOI 10.1142/S0219720019500124 YÖKSİS SJR Q3 JCR Q4 OpenAlex 81.2%
  10. 2018 Evaluation Machine-Learning Approaches for Classification of Cryotherapy and Immunotherapy Datasets International Journal of Machine Learning and Computing, DOI 10.18178/ijmlc.2018.8.4.707 YÖKSİS SJR Q3 OpenAlex 81.4%

Projects 1

  1. 2020 (Proje no: 318S218) 318S276 alt proje- Kanserde İmmunoterapi Etkinliğinin İyileştirilmesine Yönelik Makine Öğrenmesine Dayalı Yeni Gen Keşfi ve İlaç Yeniden Konumlandırma Platformunun Geliştirilmesi -Tübitak 1003 · Tamamlandı 2020-01-01 – 2023-02-28

Proceedings 10 See all (10) →

  1. 2018 Classification of CAD Dataset by Using Principal Component Analysis and Machine Learning Approaches 5th Inter. Conf. on Electrical and Electronics Engineering
  2. 2017 Destek Vektör Makineleriyle İlaç Birleşimlerinin Etkilerinin Sınıflandırılması SIU 2017, 25. Sinyal İşleme ve İletişim Uygulamaları Kurultayı
  3. 2026 Dynamic Beta-Weighted Stacking for Blunder Prediction in Blitz Chess 34. Sinyal İşleme ve İletişim Uygulamaları Kurultayı
  4. 2025 MODELING COGNITIVE LOAD IN CHESS VIA POSITION COMPLEXITY AND MACHINE LEARNING: INSIGHTS FROM MAGNUS CARLSEN’S BLITZ GAMES INTERNATIONAL ADANA SCIENTIFIC RESEARCH AND INNOVATION CONGRESS
  5. 2017 Makine Öğrenmesi Yöntemleriyle Daha Etkili İlaç Tedavilerinin Kestirilmesi X. INTERNATIONAL MEDICAL INFORMATICS CONFERENCE

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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
13
With an akaturk profile
5
Turkish institutions
3
Co-authored works
%80

Academic co-authors 5

  1. EMİNE ŞİMŞEK Doktor Öğretim Üyesi · Mersin Üniversitesi 1
  2. FATMA DENİZ CÜVİTOĞLU Araştırma Görevlisi · Mersin Üniversitesi 1
  3. JALE BEKTAŞ Doçent · Mersin Üniversitesi 1
  4. KEMAL TURHAN Profesör · İzmir Ekonomi Üniversitesi 1
  5. ÖZGE KURT Doktor Öğretim Üyesi · Aksaray Üniversitesi 1

National collaboration 3 institutions

  1. Mersin Üniversitesi 2 works · 3 academics
  2. Aksaray Üniversitesi 1 works · 1 academics
  3. İzmir Ekonomi Üniversitesi 1 works · 1 academics

Other co-authors (incl. international) 8

ZERRİN IŞIK 6Berivan TonçGökhan KökçüJoseph ZhouSui HuangÖZGE KART TOKMAKÜLKÜ ÜNSALİrem Naz Çoçan

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.