Sezer Ulukaya

946 total citations
40 papers, 569 citations indexed

About

Sezer Ulukaya is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Sezer Ulukaya has authored 40 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Signal Processing. Recurrent topics in Sezer Ulukaya's work include Phonocardiography and Auscultation Techniques (12 papers), Music and Audio Processing (8 papers) and Face and Expression Recognition (8 papers). Sezer Ulukaya is often cited by papers focused on Phonocardiography and Auscultation Techniques (12 papers), Music and Audio Processing (8 papers) and Face and Expression Recognition (8 papers). Sezer Ulukaya collaborates with scholars based in Türkiye, Serbia and United States. Sezer Ulukaya's co-authors include Yasemin P. Kahya, Bülent Sankur, Oya Çeliktutan, Görkem Serbes, Çiğdem Eroğlu Erdem, Ahmet Alkan, A. Tanju Erdem, Evangelos Kaimakamis, Nicos Maglaveras and Nikša Jakovljević and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Biomechanics.

In The Last Decade

Sezer Ulukaya

34 papers receiving 547 citations

Peers

Sezer Ulukaya

PRM

CVPR

RNMI

Bruno Rocha Portugal

Ayman Abaza United States

Jer‐Ming Chen Singapore

Swanirbhar Majumder India

Sibghatullah I. Khan India

Ruban Nersisson India

Aicha Majda Morocco

S. Poornachandra India

Viswam Nathan United States

C. Druzgalski United States

Bruno Rocha Portugal

Sezer Ulukaya

350 ×1.5

PRM

330 ×1.4

83 ×0.5

CVPR

32 ×0.7

RNMI

44 ×1.0

Citations per year, relative to Sezer Ulukaya Sezer Ulukaya (= 1×) peers Bruno Rocha

Countries citing papers authored by Sezer Ulukaya

Since Specialization

Citations

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

Fields of papers citing papers by Sezer Ulukaya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sezer Ulukaya

This figure shows the co-authorship network connecting the top 25 collaborators of Sezer Ulukaya. A scholar is included among the top collaborators of Sezer Ulukaya 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 Sezer Ulukaya. Sezer Ulukaya 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

Ulukaya, Sezer, et al.. (2025). A robust vision transformer-based approach for classification of labeled rices in the wild. Computers and Electronics in Agriculture. 231. 109950–109950. 5 indexed citations

Ulukaya, Sezer, et al.. (2025). Al-based Parkinson’s Disease Diagnosis with Word Level Speech Data using Advanced Signal Processing Techniques. 176–181.

Kurt, İlke, et al.. (2024). Shannon Wavelet Entropy-based Machine Learning Applications in Parkinson’s Disease Diagnosis with Videonystagmography. 5. 127–131.

Kurt, İlke, et al.. (2024). Cognitive activity analysis of Parkinson’s patients using artificial intelligence techniques. Neurological Sciences. 46(1). 147–155.

Kurt, İlke, et al.. (2023). The effect of perturbation on hip kinematics of transtibial amputees. Gait & Posture. 106. S189–S190.

Ulukaya, Sezer, et al.. (2023). DETECTION OF NAIL DISEASES USING ENSEMBLE MODEL BASED ON MAJORITY VOTING. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi. 26(1). 250–260. 1 indexed citations

Ulukaya, Sezer, et al.. (2023). MSCCov19Net: multi-branch deep learning model for COVID-19 detection from cough sounds. Medical & Biological Engineering & Computing. 61(7). 1619–1629. 15 indexed citations

Ulukaya, Sezer, et al.. (2023). A Hybrid Multistage Model Based on YOLO and Modified Inception Network for Rice Leaf Disease Analysis. Arabian Journal for Science and Engineering. 49(5). 6715–6723. 10 indexed citations

Kurt, İlke, et al.. (2022). Individuals with a COVID-19 history exhibit asymmetric gait patterns despite full recovery. Journal of Biomechanics. 137. 111098–111098. 5 indexed citations

10.

Ulukaya, Sezer, et al.. (2022). Periodontal bone loss detection based on hybrid deep learning and machine learning models with a user-friendly application. Biomedical Signal Processing and Control. 77. 103844–103844. 45 indexed citations

11.

Öksüz, İlkay, et al.. (2022). A Hybrid Fusion Method Combining Spatial Image Filtering with Parallel Channel Network for Retinal Vessel Segmentation. Arabian Journal for Science and Engineering. 48(5). 6149–6162. 3 indexed citations

12.

Ulukaya, Sezer, Görkem Serbes, & Yasemin P. Kahya. (2021). Resonance based separation and energy based classification of lung sounds using tunable wavelet transform. Computers in Biology and Medicine. 131. 104288–104288. 8 indexed citations

13.

Rocha, Bruno, Dimitris Filos, Luís Mendes, et al.. (2019). An open access database for the evaluation of respiratory sound classification algorithms. Physiological Measurement. 40(3). 35001–35001. 172 indexed citations

14.

Ulukaya, Sezer, Görkem Serbes, & Yasemin P. Kahya. (2018). Wheeze type classification using non-dyadic wavelet transform based optimal energy ratio technique. Computers in Biology and Medicine. 104. 175–182. 18 indexed citations

15.

Kurt, İlke, et al.. (2018). Musical Feature Based Classification of Parkinson's Disease Using Dysphonic Speech. 1–4. 6 indexed citations

16.

Ulukaya, Sezer, Görkem Serbes, & Yasemin P. Kahya. (2017). Overcomplete discrete wavelet transform based respiratory sound discrimination with feature and decision level fusion. Biomedical Signal Processing and Control. 38. 322–336. 27 indexed citations

17.

Ulukaya, Sezer, et al.. (2016). A lung sound classification system based on the rational dilation wavelet transform. PubMed. 2016. 3745–3748. 16 indexed citations

18.

Ulukaya, Sezer, et al.. (2015). Feature extraction using time-frequency analysis for monophonic-polyphonic wheeze discrimination. PubMed. 2015. 5412–5415. 10 indexed citations

19.

Ulukaya, Sezer, et al.. (2015). A novel method for determination of wheeze type. 10. 2001–2004. 2 indexed citations

20.

Erdem, Çiğdem Eroğlu, et al.. (2011). Combining Haar Feature and skin color based classifiers for face detection. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 1497–1500. 39 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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