Yılmaz Kaya

2.0k total citations
62 papers, 1.5k citations indexed

About

Yılmaz Kaya is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Yılmaz Kaya has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 10 papers in Control and Systems Engineering. Recurrent topics in Yılmaz Kaya's work include Machine Learning and ELM (10 papers), Machine Fault Diagnosis Techniques (8 papers) and Gear and Bearing Dynamics Analysis (7 papers). Yılmaz Kaya is often cited by papers focused on Machine Learning and ELM (10 papers), Machine Fault Diagnosis Techniques (8 papers) and Gear and Bearing Dynamics Analysis (7 papers). Yılmaz Kaya collaborates with scholars based in Türkiye. Yılmaz Kaya's co-authors include Melih Kuncan, Kaplan Kaplan, H. Metin Ertunç, Murat Uyar, Ömer Faruk Ertuğrul, Mehmet Recep Mi̇naz, Mehmet Şahin, Ramazan Teki̇n, Selçuk Yıldırım and Mahmut Kaya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and Knowledge-Based Systems.

In The Last Decade

Yılmaz Kaya

61 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yılmaz Kaya Türkiye 23 472 408 330 283 176 62 1.5k
Orhan Yaman Türkiye 19 227 0.5× 208 0.5× 270 0.8× 163 0.6× 47 0.3× 76 1.2k
Xinzheng Xu China 20 841 1.8× 158 0.4× 120 0.4× 440 1.6× 50 0.3× 55 1.8k
Jia Uddin Bangladesh 20 265 0.6× 200 0.5× 125 0.4× 346 1.2× 49 0.3× 148 1.4k
Abdullah-Al Nahid Bangladesh 23 973 2.1× 290 0.7× 122 0.4× 521 1.8× 130 0.7× 85 2.2k
Davut Hanbay Türkiye 25 380 0.8× 87 0.2× 106 0.3× 414 1.5× 186 1.1× 104 2.1k
Zhiqiang Tian China 24 440 0.9× 322 0.8× 86 0.3× 969 3.4× 62 0.4× 148 2.3k
Michał Grochowski Poland 14 542 1.1× 222 0.5× 81 0.2× 486 1.7× 95 0.5× 36 1.7k
Farrukh Nagi Malaysia 15 348 0.7× 349 0.9× 183 0.6× 299 1.1× 33 0.2× 57 1.4k
Ye Zhang China 21 164 0.3× 228 0.6× 188 0.6× 154 0.5× 89 0.5× 104 1.4k

Countries citing papers authored by Yılmaz Kaya

Since Specialization
Citations

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

Fields of papers citing papers by Yılmaz Kaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yılmaz Kaya

This figure shows the co-authorship network connecting the top 25 collaborators of Yılmaz Kaya. A scholar is included among the top collaborators of Yılmaz Kaya 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 Yılmaz Kaya. Yılmaz Kaya 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.
Kaya, Yılmaz, et al.. (2024). A new approach for heart disease detection using Motif transform-based CWT’s time-frequency images with DenseNet deep transfer learning methods. Biomedizinische Technik/Biomedical Engineering. 69(4). 407–417. 2 indexed citations
2.
Kaya, Yılmaz, et al.. (2024). An efficient approach based on a novel 1D-LBP for the detection of bearing failures with a hybrid deep learning method. Applied Soft Computing. 155. 111438–111438. 24 indexed citations
3.
Kaya, Yılmaz, et al.. (2023). A new local pooling approach for convolutional neural network: local binary pattern. Multimedia Tools and Applications. 83(12). 34137–34151. 12 indexed citations
4.
Küçüker, Hüdaverdi, et al.. (2023). GENDER IDENTIFICATION FROM LEFT HAND-WRIST X-RAY IMAGES WITH A HYBRID DEEP LEARNING METHOD. Konya Journal of Engineering Sciences. 11(4). 1118–1133. 2 indexed citations
5.
Kaya, Yılmaz, et al.. (2022). YAPAY ZEKA YÖNTEMLERİYLE ERKEN EVRE DİYABET RİSK TAHMİNİ. 1 indexed citations
6.
Kaya, Yılmaz, et al.. (2022). A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM. Measurement Science and Technology. 33(12). 124011–124011. 23 indexed citations
7.
Kaya, Yılmaz, et al.. (2022). A hybrid model for classification of medical data set based on factor analysis and extreme learning machine: FA + ELM. Biomedical Signal Processing and Control. 78. 104023–104023. 12 indexed citations
8.
Kaya, Yılmaz & Ramazan Teki̇n. (2022). Comparison of discretization methods for classifier decision trees and decision rules on medical data sets. European Journal of Science and Technology. 7 indexed citations
9.
Kaya, Yılmaz, et al.. (2022). A new automatic bearing fault size diagnosis using time-frequency images of CWT and deep transfer learning methods. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 30(5). 1851–1867. 64 indexed citations
10.
Kaya, Yılmaz, et al.. (2022). A new approach for congestive heart failure and arrhythmia classification using downsampling local binary patterns with LSTM. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 30(6). 2145–2164. 16 indexed citations
11.
Kaplan, Kaplan, Yılmaz Kaya, Melih Kuncan, & H. Metin Ertunç. (2020). Brain tumor classification using modified local binary patterns (LBP) feature extraction methods. Medical Hypotheses. 139. 109696–109696. 195 indexed citations
12.
Kaya, Yılmaz, et al.. (2019). A novel ensemble model based on GMDH-type neural network for the prediction of CPT-based soil liquefaction. Environmental Earth Sciences. 78(11). 24 indexed citations
13.
Kaya, Yılmaz & Ömer Faruk Ertuğrul. (2018). A stable feature extraction method in classification epileptic EEG signals. Australasian Physical & Engineering Sciences in Medicine. 41(3). 721–730. 26 indexed citations
14.
Kaya, Yılmaz, et al.. (2016). Doküman dili tanıma için yeni bir öznitelik çıkarım yaklaşımı: İkili Desenler. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi. 31(4). 0–0. 3 indexed citations
15.
Ertuğrul, Ömer Faruk & Yılmaz Kaya. (2016). Determining the optimal number of body-worn sensors for human activity recognition. Soft Computing. 21(17). 5053–5060. 22 indexed citations
16.
Ertuğrul, Ömer Faruk, Yılmaz Kaya, & Ramazan Teki̇n. (2015). A novel approach for SEMG signal classification with adaptive local binary patterns. Medical & Biological Engineering & Computing. 54(7). 1137–1146. 29 indexed citations
17.
Kaya, Yılmaz. (2015). A FAST INTELLIGENT DIAGNOSIS SYSTEM FOR THYROID DISEASES BASED ON EXTREME LEARNING MACHINE. SHILAP Revista de lepidopterología. 15(1). 41–41. 6 indexed citations
18.
Kaya, Yılmaz & Ramazan Teki̇n. (2012). Epileptik Hastalıkların Teşhisi için Aşırı Öğrenme Makinesi Tabanlı bir Uzman Sistem. Bilişim Teknolojileri Dergisi. 5(2). 33–40. 1 indexed citations
19.
Ertuğrul, Ömer Faruk, M. Emin Tağluk, & Yılmaz Kaya. (2012). Fault analysis of power transmission line by Wigner Ville distribution, gray-level co-occurrence matrix and pattern recognation. 25. 1–4. 2 indexed citations
20.
Kaya, Yılmaz, et al.. (2011). AN APPLICATION OF HOT DECK IMPUTATION AND SUBSTITUTION METHODS IN THE ESTIMATION OF MISSING DATA. Gazi university journal of science. 24(1). 69–75. 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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