Ünal Çavuşoğlu

2.4k total citations
53 papers, 1.8k citations indexed

About

Ünal Çavuşoğlu is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Ünal Çavuşoğlu has authored 53 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 22 papers in Statistical and Nonlinear Physics and 17 papers in Computer Networks and Communications. Recurrent topics in Ünal Çavuşoğlu's work include Chaos-based Image/Signal Encryption (30 papers), Chaos control and synchronization (22 papers) and Cryptographic Implementations and Security (8 papers). Ünal Çavuşoğlu is often cited by papers focused on Chaos-based Image/Signal Encryption (30 papers), Chaos control and synchronization (22 papers) and Cryptographic Implementations and Security (8 papers). Ünal Çavuşoğlu collaborates with scholars based in Türkiye, India and Iran. Ünal Çavuşoğlu's co-authors include Sezgin Kaçar, Ahmet Zengi̇n, İhsan Pehli̇van, Akif Akgül, Sundarapandian Vaıdyanathan, Devrim Akgün, Aceng Sambas, Cüneyt Bayılmış, Sajad Jafari and Saleh Mobayen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Ünal Çavuşoğlu

50 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ünal Çavuşoğlu Türkiye 23 927 714 582 582 205 53 1.8k
Bassem Abd-El-Atty Egypt 29 1.6k 1.8× 1.1k 1.5× 509 0.9× 378 0.6× 124 0.6× 55 2.6k
Sezgin Kaçar Türkiye 22 960 1.0× 494 0.7× 732 1.3× 333 0.6× 58 0.3× 76 1.7k
Ali Kanso Kuwait 23 1.2k 1.3× 459 0.6× 234 0.4× 373 0.6× 81 0.4× 77 1.7k
İhsan Pehli̇van Türkiye 27 1.3k 1.4× 597 0.8× 1.5k 2.5× 591 1.0× 63 0.3× 65 2.3k
Je Sen Teh Malaysia 22 1.3k 1.4× 443 0.6× 341 0.6× 133 0.2× 87 0.4× 50 1.6k
Dongdai Lin China 18 397 0.4× 982 1.4× 185 0.3× 353 0.6× 100 0.5× 173 1.6k
Li‐Hua Gong China 25 589 0.6× 1.0k 1.5× 119 0.2× 532 0.9× 163 0.8× 69 1.8k
Xiaoqiang Di China 19 480 0.5× 296 0.4× 87 0.1× 411 0.7× 165 0.8× 103 1.1k
Sattar B. Sadkhan Iraq 16 487 0.5× 425 0.6× 86 0.1× 426 0.7× 213 1.0× 139 1.2k
Congxu Zhu China 30 2.9k 3.1× 857 1.2× 722 1.2× 242 0.4× 75 0.4× 70 3.4k

Countries citing papers authored by Ünal Çavuşoğlu

Since Specialization
Citations

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

Fields of papers citing papers by Ünal Çavuşoğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ünal Çavuşoğlu

This figure shows the co-authorship network connecting the top 25 collaborators of Ünal Çavuşoğlu. A scholar is included among the top collaborators of Ünal Çavuşoğlu 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 Ünal Çavuşoğlu. Ünal Çavuşoğlu 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.
Çavuşoğlu, Ünal, et al.. (2025). Secure and Efficient Data Encryption for Internet of Robotic Things via Chaos-Based Ascon. Applied Sciences. 15(19). 10641–10641.
2.
Çavuşoğlu, Ünal, et al.. (2024). IoT-based Smart Home Security System with Machine Learning Models. DergiPark (Istanbul University). 12(1). 28–36. 3 indexed citations
3.
Çavuşoğlu, Ünal, et al.. (2024). Blockchain-based IoT security solutions for IDS research centers. Internet of Things. 27. 101307–101307. 9 indexed citations
4.
Çavuşoğlu, Ünal, et al.. (2024). A novel deep learning-based intrusion detection system for IoT DDoS security. Internet of Things. 28. 101336–101336. 32 indexed citations
5.
Çavuşoğlu, Ünal, et al.. (2024). Design and Performance Analysis of a SPECK-Based Lightweight Hash Function. Electronics. 13(23). 4767–4767. 3 indexed citations
6.
Çavuşoğlu, Ünal, et al.. (2024). A Comprehensive Survey On Machine Learning-Based Intrusion Detection System for Vehicular Area Network Architectures. SHILAP Revista de lepidopterología. 12(3). 1536–1556.
7.
Akgün, Devrim, et al.. (2022). A new DDoS attacks intrusion detection model based on deep learning for cybersecurity. Computers & Security. 118. 102748–102748. 100 indexed citations
8.
Çavuşoğlu, Ünal, et al.. (2020). CoAP and Its Performance Evaluation. SHILAP Revista de lepidopterología. 24(1). 78–85.
9.
Mobayen, Saleh, Christos Volos, Ünal Çavuşoğlu, & Sezgin Kaçar. (2020). A Simple Chaotic Flow with Hyperbolic Sinusoidal Function and Its Application to Voice Encryption. Symmetry. 12(12). 2047–2047. 13 indexed citations
10.
Liu, Jiancheng, Karthikeyan Rajagopal, Tengfei Lei, et al.. (2020). A Novel Hypogenetic Chaotic Jerk System: Modeling, Circuit Implementation, and Its Application. Mathematical Problems in Engineering. 2020. 1–9. 5 indexed citations
11.
Vaıdyanathan, Sundarapandian, Akif Akgül, Sezgin Kaçar, & Ünal Çavuşoğlu. (2018). A new 4-D chaotic hyperjerk system, its synchronization, circuit design and applications in RNG, image encryption and chaos-based steganography. The European Physical Journal Plus. 133(2). 101 indexed citations
12.
Mobayen, Saleh, Sundarapandian Vaıdyanathan, Aceng Sambas, Sezgin Kaçar, & Ünal Çavuşoğlu. (2018). A Novel Chaotic System With Boomerang-Shaped Equilibrium, Its Circuit Implementation and Application to Sound Encryption. Iranian Journal of Science and Technology Transactions of Electrical Engineering. 43(1). 1–12. 48 indexed citations
13.
Wang, Xiong, et al.. (2018). A Chaotic System with Infinite Equilibria and Its S-Box Constructing Application. Applied Sciences. 8(11). 2132–2132. 44 indexed citations
14.
Vaıdyanathan, Sundarapandian, Aceng Sambas, Sezgin Kaçar, & Ünal Çavuşoğlu. (2018). A New Finance Chaotic System, its Electronic Circuit Realization, Passivity based Synchronization and an Application to Voice Encryption. Nonlinear Engineering. 8(1). 193–205. 22 indexed citations
15.
Bayılmış, Cüneyt, et al.. (2017). Enhanced secure data transfer for WSN using chaotic-based encryption. Tehnicki vjesnik - Technical Gazette. 24(4). 2 indexed citations
16.
Lai, Qiang, Akif Akgül, Chunbiao Li, Guanghui Xu, & Ünal Çavuşoğlu. (2017). A New Chaotic System with Multiple Attractors: Dynamic Analysis, Circuit Realization and S-Box Design. Entropy. 20(1). 12–12. 95 indexed citations
17.
Mobayen, Saleh, Christos Volos, Sezgin Kaçar, & Ünal Çavuşoğlu. (2017). New class of chaotic systems with equilibrium points like a three-leaved clover. Nonlinear Dynamics. 91(2). 939–956. 17 indexed citations
18.
Çavuşoğlu, Ünal, Ahmet Zengi̇n, İhsan Pehli̇van, & Sezgin Kaçar. (2016). A novel approach for strong S-Box generation algorithm design based on chaotic scaled Zhongtang system. Nonlinear Dynamics. 87(2). 1081–1094. 156 indexed citations
19.
Çavuşoğlu, Ünal, Yılmaz Uyaroğlu, & İhsan Pehli̇van. (2014). Sürekli Zamanlı Otonom Kaotik Devre Tasarımı Ve Sinyal Gizleme Uygulaması. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi. 29(1). 11 indexed citations
20.
Kaçar, Sezgin, et al.. (2014). A MATLAB and.NET based Windows Application for controller design using Genetic algorithm. Academic Platform Journal of Engineering and Smart Systems. 2(1). 24–34. 1 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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