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About the database ScholarIQanswers from OpenAlex & ORCID
How has Sedat Metlek's publication output changed over time?
ScholarIQpublication output · 2020–2025
Output declined67% over the shown period — from 3 works in 2020 to 1 in 2025.
3
3
3
1
1
20202021202320242025
What are the most-cited papers on Sedat Metlek?
ScholarIQmost cited works
ResUNet+: A New Convolutional and Attention Block-Based Approach for Brain Tumor Segmentation
Sedat Metlek, Halıt Çetıner
IEEE Access. 202370 CitationsOPEN ACCESS
DenseUNet+: A novel hybrid segmentation approach based on multi-modality images for brain tumor segmentation
Halıt Çetıner, Sedat Metlek
S2764955546. 202344 CitationsOPEN ACCESS
CellSegUNet: an improved deep segmentation model for the cell segmentation based on UNet++ and residual UNet models
Sedat Metlek
S147897268. 202439 CitationsOPEN ACCESS
A new proposal for the prediction of an aircraft engine fuel consumption: a novel CNN-BiLSTM deep neural network model
Sedat Metlek
S4210219807. 202336 Citations
Developing a model for prediction of the combustion performance and emissions of a turboprop engine using the long short-term memory method
Kıyas Kayaalp, Sedat Metlek, Selçuk Ekici, Yasin Şöhret
S164770093. 202135 Citations
Related on ScholarIQ
Burdur Mehmet Akif Ersoy Üniversitesi
Institution
ResUNet+: A New Convolutional and Attention Block-Based Approach for Brain Tumor Segmentation
Paper
DenseUNet+: A novel hybrid segmentation approach based on multi-modality images for brain tumor segmentation
Paper
CellSegUNet: an improved deep segmentation model for the cell segmentation based on UNet++ and residual UNet models
Paper
A new proposal for the prediction of an aircraft engine fuel consumption: a novel CNN-BiLSTM deep neural network model
Paper
Developing a model for prediction of the combustion performance and emissions of a turboprop engine using the long short-term memory method
Paper