İlkay Ulusoy

2.6k total citations · 1 hit paper
67 papers, 921 citations indexed

About

İlkay Ulusoy is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, İlkay Ulusoy has authored 67 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 16 papers in Media Technology and 12 papers in Computational Mechanics. Recurrent topics in İlkay Ulusoy's work include Remote-Sensing Image Classification (15 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Face recognition and analysis (10 papers). İlkay Ulusoy is often cited by papers focused on Remote-Sensing Image Classification (15 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Face recognition and analysis (10 papers). İlkay Ulusoy collaborates with scholars based in Türkiye, United Kingdom and Spain. İlkay Ulusoy's co-authors include Görkem Algan, C.M. Bishop, Çağlar Aytekin, Sedat Dogru, Erdem Akagündüz, Arzu Erener, Şebnem Düzgün, Edwin R. Hancock, Terry Windeatt and Richard C. Wilson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

İlkay Ulusoy

61 papers receiving 873 citations

Hit Papers

Image classification with deep learning in the presence o... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
İlkay Ulusoy Türkiye 14 387 231 210 98 95 67 921
Panqu Wang United States 3 895 2.3× 280 1.2× 299 1.4× 90 0.9× 60 0.6× 6 1.4k
Yiquan Wu China 14 757 2.0× 301 1.3× 223 1.1× 215 2.2× 55 0.6× 50 1.3k
Diganta Misra India 4 552 1.4× 128 0.6× 187 0.9× 99 1.0× 33 0.3× 8 958
Weiqing Yan China 19 600 1.6× 236 1.0× 247 1.2× 117 1.2× 32 0.3× 76 1.1k
Hai Huang China 21 266 0.7× 131 0.6× 182 0.9× 101 1.0× 45 0.5× 68 1.3k
Zehua Huang China 13 991 2.6× 304 1.3× 334 1.6× 102 1.0× 74 0.8× 16 1.8k
Xiangtai Li China 18 936 2.4× 263 1.1× 347 1.7× 117 1.2× 74 0.8× 58 1.6k
Ningning Ma China 6 993 2.6× 216 0.9× 309 1.5× 170 1.7× 28 0.3× 9 1.7k

Countries citing papers authored by İlkay Ulusoy

Since Specialization
Citations

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

Fields of papers citing papers by İlkay Ulusoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of İlkay Ulusoy

This figure shows the co-authorship network connecting the top 25 collaborators of İlkay Ulusoy. A scholar is included among the top collaborators of İlkay Ulusoy 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 İlkay Ulusoy. İlkay Ulusoy 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.
Ulusoy, İlkay, et al.. (2025). IoT-Based Multi-Speed HVAC Control: Simulation Results and Testbed Development. OpenMETU (Middle East Technical University). 1–4.
2.
Ulusoy, İlkay, et al.. (2024). Gradient-descent hardware-aware training and deployment for mixed-signal neuromorphic processors. SHILAP Revista de lepidopterología. 4(1). 14011–14011. 4 indexed citations
3.
Ulusoy, İlkay, et al.. (2024). Improved brain effective connectivity modelling by dynamic Bayesian networks. Journal of Neuroscience Methods. 409. 110211–110211. 1 indexed citations
4.
Ulusoy, İlkay, et al.. (2021). A practical analysis of sample complexity for structure learning of discrete dynamic Bayesian networks. Optimization. 71(10). 2935–2962. 6 indexed citations
5.
Dönmez‐Demir, Buket, Şefik Evren Erdener, Hülya Karataş, et al.. (2020). KCl-induced cortical spreading depression waves more heterogeneously propagate than optogenetically-induced waves in lissencephalic brain: an analysis with optical flow tools. Scientific Reports. 10(1). 12793–12793. 9 indexed citations
6.
Ulusoy, İlkay, et al.. (2018). User comfort and energy efficiency in HVAC systems by Q-learning. OpenMETU (Middle East Technical University). 1–4. 27 indexed citations
7.
Ulusoy, İlkay, et al.. (2018). Retinal vessel segmentation using convolutional neural networks. OpenMETU (Middle East Technical University). 1–4. 4 indexed citations
8.
Mura, Mauro Dalla, et al.. (2012). Classification of hyperspectral images based on weighted DMPS. OpenMETU (Middle East Technical University). 4154–4157. 3 indexed citations
9.
Ulusoy, İlkay, et al.. (2011). Automatic 3D segmentation of individual facial muscles using unlabeled prior information. International Journal of Computer Assisted Radiology and Surgery. 7(1). 35–41. 8 indexed citations
10.
Ulusoy, İlkay, et al.. (2011). Automatic segmentation of VHR images using type information of local structures acquired by mathematical morphology. Pattern Recognition Letters. 32(13). 1618–1625. 8 indexed citations
11.
Ulusoy, İlkay, Erdem Akagündüz, Fidan Alakuş Sabuncuoğlu, Serkan Görgülü, & Özlem Üçok. (2010). Use of the dynamic volume spline method to predict facial soft tissue changes associated with orthognathic surgery. Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology. 110(5). e17–e23. 7 indexed citations
12.
Akagündüz, Erdem & İlkay Ulusoy. (2010). 3D face detection using transform invariant features. Electronics Letters. 46(13). 905–907. 5 indexed citations
13.
Ulusoy, İlkay, Erdem Akagündüz, & Gerhard‐Wilhelm Weber. (2010). Inverse solution for parameter estimation of a dynamic volume spline based forehead skin model. Inverse Problems in Science and Engineering. 18(5). 585–612. 2 indexed citations
14.
Hancock, Edwin R., Richard C. Wilson, Terry Windeatt, İlkay Ulusoy, & Francisco Escolano. (2010). Structural, syntactic, and statistical pattern recognition : joint IAPR international workshop, SSPR & SPR 2010 : Cesme, Izmir, Turkey, August 18 - 20, 2010 : proceedings. Medical Entomology and Zoology. 2 indexed citations
15.
Ulusoy, İlkay, et al.. (2009). A comparative study on polygonal mesh simplification algorithms. OpenMETU (Middle East Technical University). 736–739. 3 indexed citations
16.
Arda, Bilgin & İlkay Ulusoy. (2009). Selection and fusion of multiple stereo algorithms for accurate disparity segmentation. OpenMETU (Middle East Technical University). 412–415.
17.
Halıcı, Uğur, et al.. (2009). 3D data processing for enhancement of face scanner data. 456–459. 1 indexed citations
18.
Akagündüz, Erdem & İlkay Ulusoy. (2007). 3D Object Representation Using Transform and Scale Invariant 3D Features. OpenMETU (Middle East Technical University). 1–8. 19 indexed citations
19.
Ulusoy, İlkay & Chris Bishop. (2006). Automatic Relevance Determination for the Estimation of Relevant Features for Object Recognition. OpenMETU (Middle East Technical University). 1–4. 3 indexed citations
20.
Ulusoy, İlkay & C.M. Bishop. (2005). Generative versus Discriminative Methods for Object Recognition. OpenMETU (Middle East Technical University). 2. 258–265. 97 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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