Ayşegül Uçar

2.0k total citations · 1 hit paper
55 papers, 1.3k citations indexed

About

Ayşegül Uçar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Ayşegül Uçar has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 13 papers in Control and Systems Engineering. Recurrent topics in Ayşegül Uçar's work include Advanced Neural Network Applications (13 papers), Video Surveillance and Tracking Methods (9 papers) and Chaos control and synchronization (8 papers). Ayşegül Uçar is often cited by papers focused on Advanced Neural Network Applications (13 papers), Video Surveillance and Tracking Methods (9 papers) and Chaos control and synchronization (8 papers). Ayşegül Uçar collaborates with scholars based in Türkiye, United Kingdom and Spain. Ayşegül Uçar's co-authors include Yakup Demir, Cüneyt Güzelіș, Özal Yıldırım, Musab Coşkun, Mehmet Karaköse, Hüseyin Erişti, U. E. Vincent, J. A. Laoye, Serdar Ethem Hamamcı and Jyotismita Chaki and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Physics Letters A.

In The Last Decade

Ayşegül Uçar

52 papers receiving 1.3k citations

Hit Papers

Artificial Intelligence for Predictive Maintenance Applic... 2024 2026 2025 2024 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends
    2024 122 citations Ayşegül Uçar, Mehmet Karaköse et al. Applied Sciences profile →

Peers

Ayşegül Uçar
Jun Peng China
Abdellatif Mtibaa Tunisia
Guanzheng Tan China
Bing Xiao China
Stefano Rovetta Italy
Amany Sarhan Egypt
Donglian Qi China
Runsheng Xu United States
Jin Li China
Hong-Han Shuai Taiwan
Jun Peng China
Ayşegül Uçar
Citations per year, relative to Ayşegül Uçar Ayşegül Uçar (= 1×) peers Jun Peng

Countries citing papers authored by Ayşegül Uçar

Since Specialization
Citations

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

Fields of papers citing papers by Ayşegül Uçar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayşegül Uçar

This figure shows the co-authorship network connecting the top 25 collaborators of Ayşegül Uçar. A scholar is included among the top collaborators of Ayşegül Uçar 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 Ayşegül Uçar. Ayşegül Uçar 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
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Uçar, Ayşegül, et al.. (2024). İnsansı robot robotis-op2 için itme kurtarma kontrol yöntemlerinin karşılaştırılması. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi. 39(4). 2551–2566. 1 indexed citations
3.
Chaki, Jyotismita & Ayşegül Uçar. (2024). An Efficient and Robust Approach Using Inductive Transfer-Based Ensemble Deep Neural Networks for Kidney Stone Detection. IEEE Access. 12. 32894–32910. 16 indexed citations
4.
Uçar, Ayşegül, et al.. (2024). Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends. Applied Sciences. 14(2). 898–898. 122 indexed citations breakdown →
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Uçar, Ayşegül, et al.. (2022). Development of a deep wavelet pyramid scene parsing semantic segmentation network for scene perception in indoor environments. Journal of Ambient Intelligence and Humanized Computing. 14(9). 12673–12695. 2 indexed citations
7.
Uçar, Ayşegül, et al.. (2021). New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration. Cluster Computing. 25(3). 1575–1590. 18 indexed citations
8.
Uçar, Ayşegül, et al.. (2021). New convolutional neural network models for efficient object recognition with humanoid robots. Journal of Information and Telecommunication. 6(1). 63–82. 1 indexed citations
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Uçar, Ayşegül, et al.. (2019). Rp-Lidar ve Mobil Robot Kullanılarak Eş Zamanlı Konum Belirleme ve Haritalama. DergiPark (Istanbul University). 31(1). 137–143. 1 indexed citations
11.
Uçar, Ayşegül, et al.. (2019). Derin Öğrenme Kullanarak Otonom Araçların İnsan Sürüşünden Öğrenmesi. DergiPark (Istanbul University). 31(1). 177–185. 2 indexed citations
12.
Uçar, Ayşegül, et al.. (2018). Derin öğrenmenin Caffe kullanılarak grafik işleme kartlarında değerlendirilmesi. DergiPark (Istanbul University). 9(1). 39–49. 2 indexed citations
13.
Yıldırım, Özal, Ayşegül Uçar, & Ulaş Baran Baloğlu. (2018). Recognition of Real-World Texture Images Under Challenging Conditions With Deep Learning. 122–126. 8 indexed citations
14.
Coşkun, Musab, Özal Yıldırım, Ayşegül Uçar, & Yakup Demir. (2017). AN OVERVIEW OF POPULAR DEEP LEARNING METHODS. DergiPark (Istanbul University). 7(2). 165–176. 73 indexed citations
15.
Uçar, Ayşegül, et al.. (2015). Teaching human gestures to humanoid robots by using Kinect sensor. 6 indexed citations
16.
Erişti, Hüseyin, Ayşegül Uçar, & Yakup Demir. (2010). Wavelet-based feature extraction and selection for classification of power system disturbances using support vector machines. Electric Power Systems Research. 80(7). 743–752. 130 indexed citations
17.
Idowu, Babatunde A., Ayşegül Uçar, & U. E. Vincent. (2009). FULL AND REDUCED-ORDER SYNCHRONIZATION OF CHAOS IN JOSEPHSON JUNCTION. 3(1). 4 indexed citations
18.
Demir, Yakup & Ayşegül Uçar. (2003). Modelling and simulation with neural and fuzzy‐neural networks of switched circuits. COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. 22(2). 253–272. 11 indexed citations
19.
Uçar, Ayşegül & Serdar Ethem Hamamcı. (2002). A controller based on coefficient diagram method for the robotic manipulators. 2. 777–780. 8 indexed citations
20.
Uçar, Ayşegül, et al.. (1998). Stability of nonlinear systems and the effects of time delay control. Transactions of the Institute of Measurement and Control. 20(1). 29–36. 6 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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