Beste Üstübioğlu

565 total citations
35 papers, 356 citations indexed

About

Beste Üstübioğlu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Beste Üstübioğlu has authored 35 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 16 papers in Media Technology and 11 papers in Signal Processing. Recurrent topics in Beste Üstübioğlu's work include Digital Media Forensic Detection (33 papers), Image Processing Techniques and Applications (15 papers) and Advanced Steganography and Watermarking Techniques (11 papers). Beste Üstübioğlu is often cited by papers focused on Digital Media Forensic Detection (33 papers), Image Processing Techniques and Applications (15 papers) and Advanced Steganography and Watermarking Techniques (11 papers). Beste Üstübioğlu collaborates with scholars based in Türkiye, Norway and Greece. Beste Üstübioğlu's co-authors include Güzin Ulutaş, Vasif V. Nabiyev, Mustafa Ulutaş, Nicolas Sklavos, Selen Ayas and Erdal Kılıç and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Future Generation Computer Systems.

In The Last Decade

Beste Üstübioğlu

34 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beste Üstübioğlu Türkiye 11 304 97 78 68 34 35 356
Nicolò Bonettini Italy 8 389 1.3× 46 0.5× 27 0.3× 103 1.5× 16 0.5× 14 433
Seung-Min Mun South Korea 9 266 0.9× 38 0.4× 49 0.6× 28 0.4× 10 0.3× 10 288
Sushila Maheshkar India 9 173 0.6× 65 0.7× 34 0.4× 35 0.5× 31 0.9× 23 223
Thanh Hai Thai France 9 335 1.1× 102 1.1× 23 0.3× 21 0.3× 16 0.5× 10 344
Haneol Jang South Korea 8 260 0.9× 29 0.3× 57 0.7× 32 0.5× 9 0.3× 21 285
Xinru Chen China 6 277 0.9× 120 1.2× 9 0.1× 82 1.2× 37 1.1× 12 330
Cody Simons United States 2 273 0.9× 98 1.0× 10 0.1× 62 0.9× 38 1.1× 3 306
Bor-Chun Chen Taiwan 9 297 1.0× 61 0.6× 25 0.3× 58 0.9× 12 0.4× 17 318
Zenan Shi China 9 242 0.8× 83 0.9× 6 0.1× 52 0.8× 41 1.2× 20 273

Countries citing papers authored by Beste Üstübioğlu

Since Specialization
Citations

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

Fields of papers citing papers by Beste Üstübioğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beste Üstübioğlu

This figure shows the co-authorship network connecting the top 25 collaborators of Beste Üstübioğlu. A scholar is included among the top collaborators of Beste Üstübioğlu 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 Beste Üstübioğlu. Beste Üstübioğlu 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.
Ulutaş, Güzin, et al.. (2024). Golden ratio based deep fake video detection system with fusion of capsule networks. Computers & Electrical Engineering. 117. 109234–109234. 8 indexed citations
2.
Üstübioğlu, Beste, et al.. (2024). KTUCengAudioForgerySet: A new Audio Copy-Move Forgery Dataset. 123–129. 2 indexed citations
3.
Üstübioğlu, Beste, et al.. (2024). Low dimensional secure federated learning framework against poisoning attacks. Future Generation Computer Systems. 158. 183–199. 1 indexed citations
4.
Üstübioğlu, Beste, et al.. (2024). ArCapsNet for Audio Splicing Forgery Detection. 298–301.
5.
Üstübioğlu, Beste, et al.. (2024). Detecting Audio Forgery with Rasta -PLP. 1–4. 1 indexed citations
6.
Üstübioğlu, Beste, et al.. (2023). Robust Copy-Move Forgery Detection Technique Against Image Degradation and Geometric Distortion Attacks. Wireless Personal Communications. 131(4). 2919–2947. 5 indexed citations
7.
Ulutaş, Güzin, et al.. (2023). Color Image Splicing Localization Based on Block Classification Using Transition Probability Matrix. Wireless Personal Communications. 129(3). 1893–1919. 1 indexed citations
8.
Ulutaş, Güzin, et al.. (2022). Localization of Forgery on Audio Clips Using GLCM Features and Mel Spectograms. 314–317. 1 indexed citations
9.
Ulutaş, Güzin, et al.. (2022). Forge Audio Detection Using Keypoint Features on Mel Spectrograms. 413–416. 5 indexed citations
10.
Üstübioğlu, Beste, et al.. (2022). Mel spectrogram-based audio forgery detection using CNN. Signal Image and Video Processing. 17(5). 2211–2219. 29 indexed citations
11.
Üstübioğlu, Beste, et al.. (2022). Robust copy-move detection in digital audio forensics based on pitch and modified discrete cosine transform. Multimedia Tools and Applications. 81(19). 27149–27185. 12 indexed citations
12.
Üstübioğlu, Beste, et al.. (2022). Detection of audio copy-move-forgery with novel feature matching on Mel spectrogram. Expert Systems with Applications. 213. 118963–118963. 22 indexed citations
13.
Ulutaş, Güzin, et al.. (2020). Video Forgery Detection Method based on Local Difference Binary. SHILAP Revista de lepidopterología. 26(5). 983–992. 1 indexed citations
14.
Üstübioğlu, Beste, et al.. (2020). Duplicated Audio Segment Detection with Local Binary Pattern. 350–353. 7 indexed citations
15.
Ulutaş, Güzin, et al.. (2020). Copy Move Forgery Detection with Quadtree Decomposition Segmentation. 208–211. 6 indexed citations
16.
Ulutaş, Güzin, et al.. (2019). IWT-MDE based reversible thermal image watermarking enhanced with secret sharing mechanism. Multimedia Tools and Applications. 78(16). 22269–22299. 6 indexed citations
17.
Ulutaş, Güzin, et al.. (2017). Medical Image Tamper Detection Based on Passive Image Authentication. Journal of Digital Imaging. 30(6). 695–709. 24 indexed citations
18.
Üstübioğlu, Beste, Güzin Ulutaş, Mustafa Ulutaş, & Vasif V. Nabiyev. (2016). A new copy move forgery detection technique with automatic threshold determination. AEU - International Journal of Electronics and Communications. 70(8). 1076–1087. 30 indexed citations
19.
Üstübioğlu, Beste, et al.. (2015). Image forgery detection based on Colour SIFT. 2. 1741–1744. 5 indexed citations
20.
Üstübioğlu, Beste, et al.. (2015). A novel keypoint based forgery detection method based on local phase quantization and SIFT. 5099. 185–189. 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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