Hüseyin Üzen

488 total citations
37 papers, 322 citations indexed

About

Hüseyin Üzen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Hüseyin Üzen has authored 37 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 9 papers in Industrial and Manufacturing Engineering. Recurrent topics in Hüseyin Üzen's work include Industrial Vision Systems and Defect Detection (9 papers), Surface Roughness and Optical Measurements (6 papers) and AI in cancer detection (6 papers). Hüseyin Üzen is often cited by papers focused on Industrial Vision Systems and Defect Detection (9 papers), Surface Roughness and Optical Measurements (6 papers) and AI in cancer detection (6 papers). Hüseyin Üzen collaborates with scholars based in Türkiye, Azerbaijan and Saudi Arabia. Hüseyin Üzen's co-authors include Davut Hanbay, Muammer Türkoğlu, Hüseyin Fırat, Muzaffer Aslan, Berrin Yanıkoğlu, Şuayip Burak Duman, Abdulkadir Şengür, Kazım Hanbay, Orhan Atıla and Ali Karcı and has published in prestigious journals such as Expert Systems with Applications, Sensors and Neural Computing and Applications.

In The Last Decade

Hüseyin Üzen

30 papers receiving 308 citations

Peers

Hüseyin Üzen
Gilberto Ochoa‐Ruiz Mexico
Chuanbin Liu China
Enrique Bermejo Spain
Qingyue Wei China
José Maurício Portugal
Hyunjae Lee South Korea
Latifa Hamami Algeria
Jan Lundgren Sweden
Gilberto Ochoa‐Ruiz Mexico
Hüseyin Üzen
Citations per year, relative to Hüseyin Üzen Hüseyin Üzen (= 1×) peers Gilberto Ochoa‐Ruiz

Countries citing papers authored by Hüseyin Üzen

Since Specialization
Citations

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

Fields of papers citing papers by Hüseyin Üzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hüseyin Üzen

This figure shows the co-authorship network connecting the top 25 collaborators of Hüseyin Üzen. A scholar is included among the top collaborators of Hüseyin Üzen 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 Hüseyin Üzen. Hüseyin Üzen 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.
Üzen, Hüseyin, et al.. (2025). Central serous retinopathy classification with deep learning-based multilevel feature extraction from optical coherence tomography images. Optics & Laser Technology. 184. 112519–112519. 2 indexed citations
2.
Fırat, Hüseyin & Hüseyin Üzen. (2025). Classification of Brain Tumors in MRI Images with Brain-CNXSAMNet: Integrating Hybrid ConvNeXt and Spatial Attention Module Networks. Interdisciplinary Sciences Computational Life Sciences. 18(1). 1–21. 1 indexed citations
3.
4.
Üzen, Hüseyin, et al.. (2024). Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset. Health Information Science and Systems. 12(1). 32–32. 15 indexed citations
5.
Fırat, Hüseyin, Hüseyin Üzen, Orhan Atıla, & Abdulkadir Şengür. (2024). Automated efficient traffic gesture recognition using swin transformer-based multi-input deep network with radar images. Signal Image and Video Processing. 19(1).
6.
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Üzen, Hüseyin, Hüseyin Fırat, Orhan Atıla, & Abdulkadir Şengür. (2024). Swin transformer-based fork architecture for automated breast tumor classification. Expert Systems with Applications. 256. 125009–125009. 9 indexed citations
8.
Üzen, Hüseyin & Hüseyin Fırat. (2024). DEEP LEARNING-BASED ADAPTIVE ENSEMBLE LEARNING MODEL FOR CLASSIFICATION OF MONKEYPOX DISEASE. Konya Journal of Engineering Sciences. 12(4). 822–837.
9.
Üzen, Hüseyin & Hüseyin Fırat. (2024). A hybrid approach based on multipath Swin transformer and ConvMixer for white blood cells classification. Health Information Science and Systems. 12(1). 33–33. 8 indexed citations
10.
Üzen, Hüseyin, et al.. (2024). Bal Arı Hastalıklarının Sınıflandırılması için ConvMixer, VGG16 ve ResNet101 Tabanlı Topluluk Öğrenme Yaklaşımı. Fırat Üniversitesi Mühendislik Bilimleri Dergisi. 36(1). 133–145.
11.
Fırat, Hüseyin, Hüseyin Üzen, Davut Hanbay, & Abdulkadir Şengür. (2024). ConvNext Mixer‐Based Encoder Decoder Method for Nuclei Segmentation in Histopathology Images. International Journal of Imaging Systems and Technology. 34(5). 3 indexed citations
12.
Fırat, Hüseyin & Hüseyin Üzen. (2024). MR Görüntülerinden Alzheimer Hastalığının Sınıflandırılması için Inception ve Sıkma-Uyarma Ağı Tabanlı Derin Öğrenme Modeli. Çukurova Üniversitesi Mühendislik Fakültesi Dergisi. 39(2). 555–567. 1 indexed citations
13.
Üzen, Hüseyin, et al.. (2024). Convmixer ve SDD Kullanılarak DEHB Hastalığının EEG Sinyalleri ile Otomatik Olarak Tespit Edilmesi. Türk doğa ve fen dergisi :. 13(1). 19–25.
14.
Hanbay, Kazım, et al.. (2024). Noise Reduced SAR Ship Database. 8. 1–6. 1 indexed citations
15.
Üzen, Hüseyin, et al.. (2024). Derin Öğrenme ile Panoramik Radyografi Görüntülerinden Diş Segmentasyonu: UNet, FPN ve PSPNet Karşılaştırması. Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi.
16.
Üzen, Hüseyin, et al.. (2023). Maxillary sinus detection on cone beam computed tomography images using ResNet and Swin Transformer-based UNet. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 138(1). 149–161. 14 indexed citations
17.
Üzen, Hüseyin, et al.. (2023). A Novel Deep Learning-Based Approach for Segmentation of Different Type Caries Lesions on Panoramic Radiographs. Diagnostics. 13(2). 202–202. 36 indexed citations
18.
Üzen, Hüseyin, Muammer Türkoğlu, & Davut Hanbay. (2022). Multi-dimensional feature extraction-based deep encoder–decoder network for automatic surface defect detection. Neural Computing and Applications. 35(4). 3263–3282. 12 indexed citations
19.
Üzen, Hüseyin & Kazım Hanbay. (2019). Yaya Özellik Tanıma için LM Filtre Temelli Derin Evrişimsel Sinir Ağı. Journal of Polytechnic. 23(3). 605–613. 5 indexed citations
20.
Hanbay, Kazım & Hüseyin Üzen. (2017). Nesne tespit ve takip metotları: Kapsamlı bir derleme. DergiPark (Istanbul University). 6(2). 40–49. 1 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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