Lale Özyılmaz

446 total citations
19 papers, 318 citations indexed

About

Lale Özyılmaz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Lale Özyılmaz has authored 19 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Biomedical Engineering. Recurrent topics in Lale Özyılmaz's work include Neural Networks and Applications (6 papers), Forensic Anthropology and Bioarchaeology Studies (3 papers) and Blind Source Separation Techniques (3 papers). Lale Özyılmaz is often cited by papers focused on Neural Networks and Applications (6 papers), Forensic Anthropology and Bioarchaeology Studies (3 papers) and Blind Source Separation Techniques (3 papers). Lale Özyılmaz collaborates with scholars based in Türkiye, United States and United Kingdom. Lale Özyılmaz's co-authors include Tülay Yıldırım, Hüseyin Şeker and Okan K. Ersoy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Biology and Medicine and Sadhana.

In The Last Decade

Lale Özyılmaz

18 papers receiving 284 citations

Peers

Lale Özyılmaz
Dan Pan China
Pooja Rani India
T. T. Trang Vietnam
Mohammad Ali Nematollahi Iran
C. Kavitha India
Mohemmed Sha Saudi Arabia
B. Yamini India
Vinodhini Mani India
Phuoc Nguyen Australia
Praneeth Vepakomma United States
Dan Pan China
Lale Özyılmaz
Citations per year, relative to Lale Özyılmaz Lale Özyılmaz (= 1×) peers Dan Pan

Countries citing papers authored by Lale Özyılmaz

Since Specialization
Citations

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

Fields of papers citing papers by Lale Özyılmaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lale Özyılmaz

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

All Works

19 of 19 papers shown
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2.
Özyılmaz, Lale, et al.. (2019). A New Perspective to Electrical Circuit Simulation with Augmented Reality. International Journal of Electrical and Electronic Engineering & Telecommunications. 9–13. 11 indexed citations
3.
Özyılmaz, Lale, et al.. (2019). Augmented Reality-Based Simulation of Some Basic Electrical Circuits Which Requires Oscilloscope for Analysis without Hardware. Journal of Circuits Systems and Computers. 29(6). 2050096–2050096. 2 indexed citations
4.
Özyılmaz, Lale, et al.. (2019). DNA Microarray Gene Expression Data Classification Using SVM, MLP, and RF with Feature Selection Methods Relief and LASSO. SHILAP Revista de lepidopterología. 23(1). 126–132. 29 indexed citations
5.
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Özyılmaz, Lale, et al.. (2018). A computational approach to estimate postmortem interval using opacity development of eye for human subjects. Computers in Biology and Medicine. 98. 93–99. 17 indexed citations
8.
Ersoy, Okan K., et al.. (2016). Character/text data compression and encryption by compressive sensing and hybrid cryptography. 365–368. 2 indexed citations
9.
Ersoy, Okan K., et al.. (2015). Cryptography with compressive sensing Orthogonal Matching Pursuit method. 216–219. 1 indexed citations
10.
Özyılmaz, Lale, et al.. (2011). Evolutionary algorithms based RBF neural networks for Parkinson's disease diagnosis. International Conference on Electrical and Electronics Engineering. 10 indexed citations
11.
Özyılmaz, Lale, et al.. (2009). Analysis And Classification Of Hiv-1 Sub- Type Viruses By Ar Model Through Artificial Neural Networks. Zenodo (CERN European Organization for Nuclear Research). 3(1). 139–144. 1 indexed citations
12.
Özyılmaz, Lale, et al.. (2008). Neural Network Based Determination Of Splice Junctions By Roc Analysis. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
13.
Özyılmaz, Lale & Tülay Yıldırım. (2004). Artificial neural networks for diagnosis of hepatitis disease. 1. 586–589. 56 indexed citations
14.
Özyılmaz, Lale & Tülay Yıldırım. (2003). Diagnosis of thyroid disease using artificial neural network methods. 4. 2033–2036. 98 indexed citations
15.
Yıldırım, Tülay, et al.. (2003). Modelling of active microwave transistors using artificial neural networks. 6. 3988–3991. 6 indexed citations
16.
Özyılmaz, Lale, Tülay Yıldırım, & Hüseyin Şeker. (2003). EMG signal classification using conic section function neural networks. 5. 3601–3603. 11 indexed citations
17.
Özyılmaz, Lale, et al.. (2002). Comparision of Neural Algorithms for Funchtion Approximation. Journal of Applied Sciences. 2(3). 288–294. 7 indexed citations
18.
Yıldırım, Tülay & Lale Özyılmaz. (2002). Dimensionality reduction in conic section function neural network. Sadhana. 27(6). 675–683. 2 indexed citations
19.
Özyılmaz, Lale & Tülay Yıldırım. (2000). Sensitivity analysis for conic section function neural networks. 244–249 vol.4. 2 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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