- Q1 2 %100.0
- Q2 0 %0.0
- Q3 0 %0.0
- Q4 0 %0.0
Academician
BURAK ULU
Araştırma Görevlisi
Erciyes Üniversitesi Mühendislik Fakültesi Mekatronik Mühendisliği Bölümü
- Ana Dal Mühendislik Temel Alanı
- Yan Dal Mekatronik Mühendisliği
Citation impact
OpenAlex YÖKSİS articles matched in OpenAlex: 1 + YÖKSİS · co-author record: 3- i10-index
- 1
- Total citations
- 29 Top 68% in Türkiye
- Per article
- 7.2
- FWCI
- 2.53 1.00 = world average
- World top 1%
- 0
- World top 10%
- 2
Most cited articles
- Deep Learning Based Apples Counting for Yield Forecast Using Proposed Flying Robotic System
- Tuning the Proportional–Integral–Derivative Control Parameters of Unmanned Aerial Vehicles Using Artificial Neural Networks for Point-to-Point Trajectory Approach
- Smart chickpea seed classification system based on machine vision and deep learning along with a review of challenges, limitations and future trends
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. 3 articles (17 citations) tagged with this academic’s YÖK author id in co-authors’ YÖKSİS records count only towards citations, h-index and i10; article counts, percentiles and rankings use their own YÖKSİS list.
Field ranking
YÖKSİS ?-
Main field Mühendislik Temel AlanıPoints rank #16,282/ 24,860 top 65.5% At university #227/ 295Score 2.65 journal 2.4 · OA add 0.25
- Article rank17,128/24,860
- Scopus rank17,529/24,860
- WoS rank17,371/24,860
- YÖKSİS4
- Scopus2
- WoS2
-
Side field Mekatronik MühendisliğiPoints rank #135/ 312 top 43.3% At university #5/ 9Score 2.65 journal 2.4 · OA add 0.25
- Article rank153/312
- Scopus rank153/312
- WoS rank147/312
- YÖKSİS4
- Scopus2
- WoS2
-
Kw. Kontrol Teorisi ve UygulamalarıPoints rank #452/ 726 top 62.3% At university #7/ 10Score 2.65 journal 2.4 · OA add 0.25
- Article rank477/726
- Scopus rank499/726
- WoS rank494/726
- YÖKSİS4
- Scopus2
- WoS2
-
Kw. RobotikPoints rank #336/ 640 top 52.5% At university #5/ 9Score 2.65 journal 2.4 · OA add 0.25
- Article rank367/640
- Scopus rank384/640
- WoS rank371/640
- YÖKSİS4
- Scopus2
- WoS2
-
Kw. Yapay ZekaPoints rank #1,855/ 3,214 top 57.7% At university #33/ 46Score 2.65 journal 2.4 · OA add 0.25
- Article rank1,992/3,214
- Scopus rank2,037/3,214
- WoS rank2,010/3,214
- YÖKSİS4
- Scopus2
- WoS2
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
- 6
- With an akaturk profile
- 6
- Turkish institutions
- 2
- Co-authored works
- %100
Academic co-authors 6
- ŞAHİN YILDIRIM Profesör · Erciyes Üniversitesi same university 4
- AHMET KIRNAP Araştırma Görevlisi · Erciyes Üniversitesi same university 1
- BANU ULU Doktor Öğretim Üyesi · Kayseri Üniversitesi 1
- MEHMET SAFA BİNGÖL Araştırma Görevlisi · Niğde Ömer Halisdemir Üniversitesi 1
- SERTAÇ SAVAŞ Doktor Öğretim Üyesi · Erciyes Üniversitesi same university 1
- ÖMER FARUK ERGİN Doktor Öğretim Üyesi · Erciyes Üniversitesi same university 1
National collaboration 2 institutions
Within own university4 joint works · Erciyes Üniversitesi
- Kayseri Üniversitesi 1 works · 1 academics
- Niğde Ömer Halisdemir Üniversitesi 1 works · 1 academics
Index quartiles
?- Q1 0 %0.0
- Q2 2 %100.0
- Q3 0 %0.0
- Q4 0 %0.0
Other counts
Scopus (SJR)
- YÖKSİS rows 2
WoS (JCR)
- YÖKSİS rows 2
Articles
Articles with YÖKSİS and OpenAlex source split; narrow by quartile or TR Index.
Journals with publications
2 journals
Narrow down
Article list
- 2024 Tuning the Proportional–Integral–Derivative Control Parameters of Unmanned Aerial Vehicles Using Artificial Neural Networks for Point-to-Point Trajectory Approach YÖKSİS SJR Q1 JCR Q2
- 2023 Deep Learning Based Apples Counting for Yield Forecast Using Proposed Flying Robotic System YÖKSİS SJR Q1 JCR Q2 OpenAlex top 10% OpenAlex 90.9%
- 2022 Dört Rotorlu Uçan Robotik Sistem Üzerinden Sinir Ağı Kullanılarak Nesne Tespit Edilmesi YÖKSİS
- 2017 Use Of Artificial Neural Networks For The Correction Of Faults On The Detected Weld Seam Image YÖKSİS