Şaban Öztürk

2.8k total citations · 1 hit paper
63 papers, 1.6k citations indexed

About

Şaban Öztürk is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Şaban Öztürk has authored 63 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Şaban Öztürk's work include AI in cancer detection (19 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Image Retrieval and Classification Techniques (10 papers). Şaban Öztürk is often cited by papers focused on AI in cancer detection (19 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Image Retrieval and Classification Techniques (10 papers). Şaban Öztürk collaborates with scholars based in Türkiye, Saudi Arabia and India. Şaban Öztürk's co-authors include Bayram Akdemïr, Umut Özkaya, Tolga Çukur, Kemal Polat, Majid Nour, Mücahid Barstuğan, Hatem F. Sindi, Muhyaddin Rawa, Salman Ul Hassan Dar and Muzaffer Özbey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Sciences.

In The Last Decade

Şaban Öztürk

60 papers receiving 1.5k citations

Hit Papers

Adaptive diffusion priors for accelerated MRI reconstruction 2023 2026 2024 2025 2023 40 80 120
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.

  1. Adaptive diffusion priors for accelerated MRI reconstruction
    2023 140 citations Alper Güngör, Salman Ul Hassan Dar et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Şaban Öztürk Türkiye 23 570 537 456 185 153 63 1.6k
Alper Baştürk Türkiye 22 602 1.1× 531 1.0× 308 0.7× 178 1.0× 101 0.7× 58 1.5k
Shuai Wang China 25 658 1.2× 735 1.4× 445 1.0× 110 0.6× 111 0.7× 140 2.1k
Tao Jiang China 20 705 1.2× 492 0.9× 347 0.8× 93 0.5× 109 0.7× 113 1.6k
Kumar Abhishek India 14 362 0.6× 404 0.8× 251 0.6× 118 0.6× 53 0.3× 49 1.2k
Marwa M. Emam Egypt 18 860 1.5× 387 0.7× 309 0.7× 47 0.3× 129 0.8× 35 1.4k
Camel Tanougast France 23 477 0.8× 838 1.6× 273 0.6× 87 0.5× 278 1.8× 154 1.8k
Oh-Young Song South Korea 19 460 0.8× 369 0.7× 165 0.4× 174 0.9× 115 0.8× 71 1.6k
Wei Fan China 25 935 1.6× 1.1k 2.0× 411 0.9× 88 0.5× 69 0.5× 124 2.5k
Shihui Ying China 24 670 1.2× 1.0k 1.9× 435 1.0× 47 0.3× 112 0.7× 124 2.2k
Xieping Gao China 22 529 0.9× 933 1.7× 556 1.2× 63 0.3× 175 1.1× 131 1.9k

Countries citing papers authored by Şaban Öztürk

Since Specialization
Citations

This map shows the geographic impact of Şaban Öztürk'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 Şaban Öztürk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Şaban Öztürk more than expected).

Fields of papers citing papers by Şaban Öztürk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Şaban Öztürk. 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 Şaban Öztürk. The network helps show where Şaban Öztürk may publish in the future.

Co-authorship network of co-authors of Şaban Öztürk

This figure shows the co-authorship network connecting the top 25 collaborators of Şaban Öztürk. A scholar is included among the top collaborators of Şaban Öztürk 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 Şaban Öztürk. Şaban Öztürk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Alenezi, Fayadh & Şaban Öztürk. (2025). Pixel-guided pattern alignment based Hopfield Neural Networks for generalize cancer diagnosis. Biomedical Signal Processing and Control. 103. 107397–107397. 2 indexed citations
2.
Öztürk, Şaban, et al.. (2025). DenoMamba: A fused state-space model for low-dose CT denoising. IEEE Journal of Biomedical and Health Informatics. PP. 1–14. 1 indexed citations
3.
Öztürk, Şaban, et al.. (2024). HydraViT: Adaptive multi-branch transformer for multi-label disease classification from Chest X-ray images. Biomedical Signal Processing and Control. 100. 106959–106959. 11 indexed citations
4.
Öztürk, Şaban, et al.. (2024). A Plug-In Graph Neural Network to Boost Temporal Sensitivity in fMRI Analysis. IEEE Journal of Biomedical and Health Informatics. 28(9). 5323–5334. 11 indexed citations
5.
Alenezi, Fayadh, Ammar Armghan, Abdullah G. Alharbi, et al.. (2023). Reverse gamma correction based GARCH model for underwater image dehazing and detail exposure. Expert Systems with Applications. 232. 120856–120856. 3 indexed citations
6.
Dar, Salman Ul Hassan, Şaban Öztürk, Muzaffer Özbey, Kader Karlı Oğuz, & Tolga Çukur. (2023). Parallel-stream fusion of scan-specific and scan-general priors for learning deep MRI reconstruction in low-data regimes. Computers in Biology and Medicine. 167. 107610–107610. 7 indexed citations
7.
Öztürk, Şaban, et al.. (2023). Content-based medical image retrieval with opponent class adaptive margin loss. Information Sciences. 637. 118938–118938. 30 indexed citations
8.
Güngör, Alper, Salman Ul Hassan Dar, Şaban Öztürk, et al.. (2023). Adaptive diffusion priors for accelerated MRI reconstruction. Medical Image Analysis. 88. 102872–102872. 140 indexed citations breakdown →
9.
Öztürk, Şaban & Tolga Çukur. (2023). Focal Modulation Based End-to-End Multi-Label Classification for Chest X-Ray Image Classification. 1–4. 3 indexed citations
10.
Öztürk, Şaban & Tolga Çukur. (2023). Focal modulation network for lung segmentation in chest X-ray images. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 31(6). 1006–1020. 11 indexed citations
11.
Öztürk, Şaban & Tolga Çukur. (2022). Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets. IEEE Journal of Biomedical and Health Informatics. 26(9). 4679–4690. 52 indexed citations
12.
Öztürk, Şaban. (2022). Convolutional Neural Networks for Medical Image Processing Applications. 6 indexed citations
13.
Yi̇ği̇t, Enes, Umut Özkaya, Şaban Öztürk, Dilbag Singh, & Hassène Gritli. (2021). Automatic Detection of Power Quality Disturbance Using Convolutional Neural Network Structure with Gated Recurrent Unit. Mobile Information Systems. 2021. 1–11. 33 indexed citations
14.
Barstuğan, Mücahid, Umut Özkaya, & Şaban Öztürk. (2021). Coronavirus (Covid-19) classification using CT images by machine learning methods. 2872. 29–35. 1 indexed citations
15.
Kumar, Vijay, et al.. (2021). Attribute Weighted Na飗e Bayes Classifier. Computers, materials & continua/Computers, materials & continua (Print). 71(1). 1945–1957. 6 indexed citations
16.
Öztürk, Şaban. (2020). Siamese Network kullanarak İki Aşamalı Sıralı Kayıplara dayalı Otomatik Hash Kodu Üretimi. European Journal of Science and Technology. 3 indexed citations
17.
Öztürk, Şaban & Umut Özkaya. (2020). Residual LSTM layered CNN for classification of gastrointestinal tract diseases. Journal of Biomedical Informatics. 113. 103638–103638. 76 indexed citations
18.
Öztürk, Şaban, Enes Yi̇ği̇t, & Umut Özkaya. (2020). FUSED DEEP FEATURES BASED CLASSIFICATION FRAMEWORK FOR COVID-19 CLASSIFICATION WITH OPTIMIZED MLP. Konya Journal of Engineering Sciences. 8. 15–27. 1 indexed citations
19.
Öztürk, Şaban, Umut Özkaya, Bayram Akdemïr, & Levent Seyfi. (2018). Weighting and Classification of Image Features using Optimization Algorithms. 1–6. 1 indexed citations
20.
Öztürk, Şaban. (2017). Detection of PCB Soldering Defects using Template Based Image Processing Method. International Journal of Intelligent Systems and Applications in Engineering. 4(5). 269–273. 17 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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