Sertan Serte

1.5k citations

36 papers · 1.0k indexed · 1 hit paper · h-index 15

Radiology, Nuclear Medicine and Imaging top 2%
Artificial Intelligence top 5%
Computer Vision and Pattern Recognition top 5%
Ophthalmology top 5%
Pulmonary and Respiratory Medicine

Co-authors: Ali Serener Hasan Demirel Fadi Al‐Turjman Mehmet Özsöz Abdullahi Umar Ibrahim Polycarp Shizawaliyi Yakoi Auwalu Saleh Mubarak Zubaida Said Ameen
Topics: COVID-19 diagnosis using AI (21 papers)AI in cancer detection (15 papers)Radiomics and Machine Learning in Medical Imaging (11 papers)
Cited by: Health Informatics Radiology, Nuclear Medicine and Imaging Ophthalmology
Journals: Sustainability Computers in Biology and Medicine Alexandria Engineering Journal
Partner nations: Cyprus Libya Türkiye

In The Last Decade

Sertan Serte

35 papers receiving 960 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19

2021 241 citations Abdullahi Umar Ibrahim, Mehmet Özsöz et al. Cognitive Computation profile →

Peers

Countries citing papers authored by Sertan Serte

Since Specialization

Citations

This map shows the geographic impact of Sertan Serte's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sertan Serte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sertan Serte more than expected).

Fields of papers citing papers by Sertan Serte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sertan Serte. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sertan Serte. The network helps show where Sertan Serte may publish in the future.

Co-authorship network of co-authors of Sertan Serte

This figure shows the co-authorship network connecting the top 25 collaborators of Sertan Serte. A scholar is included among the top collaborators of Sertan Serte based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sertan Serte. Sertan Serte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Data augmentation and denoising of computed tomography scan images in training deep learning models for rapid COVID-19 detection 2024 ·International Journal of Business Intelligence and Data Mining ·Auwalu Saleh Mubarak,Sertan Serte,Fadi Al‐Turjman,(unknown),(unknown)	1
2	Clinically Significant Prostate Cancer Classification Using Anatomical T2W MRI Sequences and Deep Learning 2023 ·(unknown),Ali Serener,Sertan Serte	1
3	Deep learning-based feature extraction coupled with multi class SVM for COVID-19 detection in the IoT era 2023 ·International Journal of Nanotechnology ·Auwalu Saleh Mubarak,Sertan Serte,(unknown),Rabiu Aliyu Abdulkadir,(unknown),(unknown),Mehmet Özsöz	2
4	Deep Learning in Clinically Significant Prostate Cancer Classification via Biparametric MRI Sequences 2023 ·(unknown),Ali Serener,Sertan Serte	2
5	Deep Learning Models for COVID-19 Detection 2022 ·Sustainability ·Sertan Serte,(unknown),Fadi Al‐Turjman	8
6	Computer aided detection of tuberculosis using two classifiers 2022 ·Biomedizinische Technik/Biomedical Engineering ·Abdullahi Umar Ibrahim,Fadi Al‐Turjman,Mehmet Özsöz,Sertan Serte	11
7	Automated detection of Mycobacterium tuberculosis using transfer learning 2021 ·The Journal of Infection in Developing Countries ·Abdullahi Umar Ibrahim,(unknown),(unknown),Kaya Süer,Sertan Serte,Mehmet Özsöz	19
8	Deep learning for diagnosis of COVID-19 using 3D CT scans 2021 ·Computers in Biology and Medicine ·Sertan Serte,Hasan Demirel	125
9	Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19breakdown → 2021 ·Cognitive Computation ·Abdullahi Umar Ibrahim,Mehmet Özsöz,Sertan Serte,Fadi Al‐Turjman,Polycarp Shizawaliyi Yakoi	241
10	Convolutional neural networks for the classification of chest X-rays in the IoT era 2021 ·Multimedia Tools and Applications ·(unknown),Sertan Serte,Fadi Al‐Turjman	27
11	Deep Learning Classification of Building Types in Northern Cyprus 2021 ·(unknown),Sertan Serte	1
12	Glaucoma classification via deep learning ensembles 2021 ·Ali Serener,Sertan Serte	3
13	C-SVR Crispr: Prediction of CRISPR/Cas12 guideRNA activity using deep learning models 2021 ·Alexandria Engineering Journal ·Zubaida Said Ameen,Mehmet Özsöz,Auwalu Saleh Mubarak,Fadi Al‐Turjman,Sertan Serte	13
14	Improved Classification of White Blood Cells with the Generative Adversarial Network and Deep Convolutional Neural Network 2020 ·Computational Intelligence and Neuroscience ·(unknown),Sertan Serte	63
15	Deep learning in medical imaging: A brief review 2020 ·Transactions on Emerging Telecommunications Technologies ·Sertan Serte,Ali Serener,Fadi Al‐Turjman	52
16	Graph‐based saliency and ensembles of convolutional neural networks for glaucoma detection 2020 ·IET Image Processing ·Sertan Serte,Ali Serener	24
17	Early pleural effusion detection from respiratory diseases including COVID-19 via deep learning 2020 ·Sertan Serte,Ali Serener	8
18	Dry and Wet Age-Related Macular Degeneration Classification Using OCT Images and Deep Learning 2019 ·Ali Serener,Sertan Serte	51
19	Gabor wavelet-based deep learning for skin lesion classification 2019 ·Computers in Biology and Medicine ·Sertan Serte,Hasan Demirel	91
20	Wavelet‐based deep learning for skin lesion classification 2019 ·IET Image Processing ·Sertan Serte,Hasan Demirel	23

About Sertan Serte

Sertan Serte is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Artificial Intelligence, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (21 papers), AI in cancer detection (15 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). The work is most often cited by research in Health Informatics (60 citations), Radiology, Nuclear Medicine and Imaging (733 citations) and Ophthalmology (139 citations). Sertan Serte has collaborated with scholars based in Cyprus, Libya and Türkiye. Frequent co-authors include Ali Serener, Hasan Demirel, Fadi Al‐Turjman, Mehmet Özsöz, Abdullahi Umar Ibrahim, Polycarp Shizawaliyi Yakoi, Auwalu Saleh Mubarak, Zubaida Said Ameen, Kaya Süer and Rabiu Aliyu Abdulkadir. Their work appears in journals such as Sustainability, Computers in Biology and Medicine and Alexandria Engineering Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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