Upload Records Snowball Search Search OpenAlex
About the database ScholarIQanswers from OpenAlex & ORCID
How has Yahya Altuntaş's publication output changed over time?
ScholarIQpublication output · 2018–2025
Output declined50% over the shown period — from 2 works in 2018 to 1 in 2025.
2
3
1
1
1
1
1
2018201920202021202220232025
What are the most-cited papers on Yahya Altuntaş?
ScholarIQmost cited works
Identification of haploid and diploid maize seeds using convolutional neural networks and a transfer learning approach
Yahya Altuntaş, Zafer Cömert, Adnan Fatıh Kocamaz
Computers and Electronics in Agriculture. 2019176 Citations
Deep Feature Extraction for Detection of Tomato Plant Diseases and Pests based on Leaf Images
Yahya Altuntaş, Fatih Kocamaz
Celal Bayar Üniversitesi Fen Bilimleri Dergisi. 202127 CitationsOPEN ACCESS
Classification of haploid and diploid maize seeds by using image processing techniques and support vector machines
Yahya Altuntaş, Adnan Fatıh Kocamaz, Rahime Cengiz, Mesut Esmeray
201822 Citations
Identification of Haploid Maize Seeds using Gray Level Co-occurrence Matrix and Machine Learning Techniques
Yahya Altuntaş, Adnan Fatıh Kocamaz, Zafer Cömert, Rahime Cengiz, Mesut Esmeray
201821 Citations
Renk Momentleri ve Destek Vektör Makineleri Kullanarak Haploid Mısır Tohumlarının Tanımlanmasında Renk Uzaylarının Sınıflandırma Performansına Etkisinin Karşılaştırılması
Yahya Altuntaş, Adnan Fatıh Kocamaz
Fırat Üniversitesi Mühendislik Bilimleri Dergisi. 20198 CitationsOPEN ACCESS
Related on ScholarIQ
Inonu University
Institution
Identification of haploid and diploid maize seeds using convolutional neural networks and a transfer learning approach
Paper
Deep Feature Extraction for Detection of Tomato Plant Diseases and Pests based on Leaf Images
Paper
Classification of haploid and diploid maize seeds by using image processing techniques and support vector machines
Paper
Identification of Haploid Maize Seeds using Gray Level Co-occurrence Matrix and Machine Learning Techniques
Paper
Renk Momentleri ve Destek Vektör Makineleri Kullanarak Haploid Mısır Tohumlarının Tanımlanmasında Renk Uzaylarının Sınıflandırma Performansına Etkisinin Karşılaştırılması
Paper