Sertan Serte

1.5k total citations · 1 hit paper
36 papers, 1.0k citations indexed

About

Sertan Serte is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sertan Serte has authored 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Artificial Intelligence and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sertan Serte's 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). Sertan Serte is often cited by papers focused on COVID-19 diagnosis using AI (21 papers), AI in cancer detection (15 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Sertan Serte collaborates with scholars based in Cyprus, Libya and Türkiye. Sertan Serte's 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 and has published in prestigious journals such as Sustainability, Computers in Biology and Medicine and Alexandria Engineering Journal.

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 — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sertan Serte Cyprus	15	733	447	263	139	114	36	1.0k
Adrián Colomer Spain	16	440 0.6×	323 0.7×	293 1.1×	226 1.6×	65 0.6×	56	796
Flávio H. D. Araújo Brazil	18	444 0.6×	513 1.1×	499 1.9×	77 0.6×	51 0.4×	59	1.0k
Tahir Mahmood South Korea	13	342 0.5×	232 0.5×	192 0.7×	88 0.6×	61 0.5×	30	620
Shujun Wang China	10	407 0.6×	306 0.7×	263 1.0×	133 1.0×	36 0.3×	30	694
Luyang Luo Hong Kong	11	431 0.6×	308 0.7×	135 0.5×	146 1.1×	34 0.3×	26	706
Hiam Alquran Jordan	15	257 0.4×	358 0.8×	105 0.4×	31 0.2×	113 1.0×	71	816
Deepti Mittal India	12	503 0.7×	270 0.6×	239 0.9×	143 1.0×	39 0.3×	33	724
Balázs Harangi Hungary	14	469 0.6×	367 0.8×	331 1.3×	301 2.2×	15 0.1×	51	948
Rahil Garnavi Australia	20	558 0.8×	486 1.1×	454 1.7×	319 2.3×	27 0.2×	52	1.4k

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

Mubarak, Auwalu Saleh, et al.. (2024). Data augmentation and denoising of computed tomography scan images in training deep learning models for rapid COVID-19 detection. International Journal of Business Intelligence and Data Mining. 24(2). 203–216. 1 indexed citations

Serener, Ali, et al.. (2023). Clinically Significant Prostate Cancer Classification Using Anatomical T2W MRI Sequences and Deep Learning. 1–6. 1 indexed citations

Mubarak, Auwalu Saleh, et al.. (2023). Deep learning-based feature extraction coupled with multi class SVM for COVID-19 detection in the IoT era. International Journal of Nanotechnology. 20(1/2/3/4). 7–24. 2 indexed citations

Serener, Ali, et al.. (2023). Deep Learning in Clinically Significant Prostate Cancer Classification via Biparametric MRI Sequences. 1–7. 2 indexed citations

Serte, Sertan, et al.. (2022). Deep Learning Models for COVID-19 Detection. Sustainability. 14(10). 5820–5820. 8 indexed citations

Ibrahim, Abdullahi Umar, Fadi Al‐Turjman, Mehmet Özsöz, & Sertan Serte. (2022). Computer aided detection of tuberculosis using two classifiers. Biomedizinische Technik/Biomedical Engineering. 67(6). 513–524. 11 indexed citations

Ibrahim, Abdullahi Umar, et al.. (2021). Automated detection of Mycobacterium tuberculosis using transfer learning. The Journal of Infection in Developing Countries. 15(5). 678–686. 19 indexed citations

Serte, Sertan & Hasan Demirel. (2021). Deep learning for diagnosis of COVID-19 using 3D CT scans. Computers in Biology and Medicine. 132. 104306–104306. 125 indexed citations

Ibrahim, Abdullahi Umar, Mehmet Özsöz, Sertan Serte, Fadi Al‐Turjman, & Polycarp Shizawaliyi Yakoi. (2021). Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19. Cognitive Computation. 16(4). 1589–1601. 241 indexed citations breakdown →

10.

Serte, Sertan, et al.. (2021). Convolutional neural networks for the classification of chest X-rays in the IoT era. Multimedia Tools and Applications. 80(19). 29051–29065. 27 indexed citations

11.

Serte, Sertan, et al.. (2021). Deep Learning Classification of Building Types in Northern Cyprus. 10(3). 1 indexed citations

12.

Serener, Ali & Sertan Serte. (2021). Glaucoma classification via deep learning ensembles. 2. 1–5. 3 indexed citations

13.

Ameen, Zubaida Said, Mehmet Özsöz, Auwalu Saleh Mubarak, Fadi Al‐Turjman, & Sertan Serte. (2021). C-SVR Crispr: Prediction of CRISPR/Cas12 guideRNA activity using deep learning models. Alexandria Engineering Journal. 60(4). 3501–3508. 13 indexed citations

14.

Serte, Sertan, et al.. (2020). Improved Classification of White Blood Cells with the Generative Adversarial Network and Deep Convolutional Neural Network. Computational Intelligence and Neuroscience. 2020. 1–12. 63 indexed citations

15.

Serte, Sertan, Ali Serener, & Fadi Al‐Turjman. (2020). Deep learning in medical imaging: A brief review. Transactions on Emerging Telecommunications Technologies. 33(10). 52 indexed citations

16.

Serte, Sertan & Ali Serener. (2020). Graph‐based saliency and ensembles of convolutional neural networks for glaucoma detection. IET Image Processing. 15(3). 797–804. 24 indexed citations

17.

Serte, Sertan & Ali Serener. (2020). Early pleural effusion detection from respiratory diseases including COVID-19 via deep learning. 1–4. 8 indexed citations

18.

Serener, Ali & Sertan Serte. (2019). Dry and Wet Age-Related Macular Degeneration Classification Using OCT Images and Deep Learning. 1–4. 51 indexed citations

19.

Serte, Sertan & Hasan Demirel. (2019). Gabor wavelet-based deep learning for skin lesion classification. Computers in Biology and Medicine. 113. 103423–103423. 91 indexed citations

20.

Serte, Sertan & Hasan Demirel. (2019). Wavelet‐based deep learning for skin lesion classification. IET Image Processing. 14(4). 720–726. 23 indexed citations

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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