Gözde Yolcu

617 total citations · 1 hit paper
15 papers, 401 citations indexed

About

Gözde Yolcu is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Biophysics. According to data from OpenAlex, Gözde Yolcu has authored 15 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Experimental and Cognitive Psychology and 3 papers in Biophysics. Recurrent topics in Gözde Yolcu's work include Face recognition and analysis (6 papers), Face and Expression Recognition (5 papers) and Emotion and Mood Recognition (4 papers). Gözde Yolcu is often cited by papers focused on Face recognition and analysis (6 papers), Face and Expression Recognition (5 papers) and Emotion and Mood Recognition (4 papers). Gözde Yolcu collaborates with scholars based in Türkiye and United States. Gözde Yolcu's co-authors include İsmail Öztel, Filiz Bunyak, Cemil Öz, Teresa E. Lever, Kannappan Palaniappan, Tommi White, Ilker Ersoy and Devrim Akgün and has published in prestigious journals such as SHILAP Revista de lepidopterología, Multimedia Tools and Applications and Journal of Medical Systems.

In The Last Decade

Gözde Yolcu

15 papers receiving 388 citations

Hit Papers

align trajectories

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.

Human Monkeypox Classification from Skin Lesion Images with Deep Pre-trained Network using Mobile Application

2022 133 citations İsmail Öztel, Gözde Yolcu et al. Journal of Medical Systems profile →

Peers

Gözde Yolcu

CVPR

VIROL

ECP

EPIDE

MB

İsmail Öztel Türkiye

Javier Civit-Masot Spain

Tommy Liu United States

Sumaira Kausar Pakistan

Olugbenga Oluwagbemi Nigeria

Ken Sutton Australia

Roberto Tedesco Brazil

Quincy Brown United States

Kathrin Heim Germany

Hui Ding China

İsmail Öztel Türkiye

Gözde Yolcu

139 ×1.0

CVPR

129 ×0.9

VIROL

93 ×1.0

ECP

83 ×0.9

EPIDE

68 ×0.9

MB

Citations per year, relative to Gözde Yolcu Gözde Yolcu (= 1×) peers İsmail Öztel

Countries citing papers authored by Gözde Yolcu

Since Specialization

Citations

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

Fields of papers citing papers by Gözde Yolcu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gözde Yolcu

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

All Works

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15 of 15 papers shown

1.

Yolcu, Gözde. (2024). Vision transformer and CNN-based skin lesion analysis: classification of monkeypox. Multimedia Tools and Applications. 83(28). 71909–71923. 18 indexed citations

2.

Öztel, İsmail, et al.. (2023). Deep Learning‐Based Skin Diseases Classification using Smartphones. SHILAP Revista de lepidopterología. 5(12). 23 indexed citations

3.

Öztel, İsmail, et al.. (2022). Human Monkeypox Classification from Skin Lesion Images with Deep Pre-trained Network using Mobile Application. Journal of Medical Systems. 46(11). 79–79. 133 indexed citations breakdown →

4.

Öztel, İsmail, Gözde Yolcu, & Devrim Akgün. (2022). A hybrid LBP-DCNN based feature extraction method in YOLO: An application for masked face and social distance detection. Multimedia Tools and Applications. 82(1). 1565–1583. 8 indexed citations

5.

Yolcu, Gözde & İsmail Öztel. (2021). A Multi-task Deep Learning System for Face Detection and Age Group Classification for Masked Faces. SHILAP Revista de lepidopterología. 25(6). 1394–1407. 1 indexed citations

6.

Yolcu, Gözde. (2021). Vision-based Road Segmentation for Intelligent Vehicles using Deep Convolutional Neural Networks. 6. 1–5. 1 indexed citations

7.

Yolcu, Gözde, İsmail Öztel, Cemil Öz, et al.. (2019). Facial expression recognition for monitoring neurological disorders based on convolutional neural network. Multimedia Tools and Applications. 78(22). 31581–31603. 67 indexed citations

8.

Yolcu, Gözde, et al.. (2019). Deep learning-based face analysis system for monitoring customer interest. Journal of Ambient Intelligence and Humanized Computing. 11(1). 237–248. 50 indexed citations

9.

Öztel, İsmail, Gözde Yolcu, & Cemil Öz. (2019). Performance Comparison of Transfer Learning and Training from Scratch Approaches for Deep Facial Expression Recognition. 1–6. 19 indexed citations

10.

Öztel, İsmail, Gözde Yolcu, Ilker Ersoy, Tommi White, & Filiz Bunyak. (2018). Deep learning approaches in electron microscopy imaging for mitochondria segmentation. International Journal of Data Mining and Bioinformatics. 21(2). 91–91. 7 indexed citations

11.

Öztel, İsmail, et al.. (2018). iFER: facial expression recognition using automatically selected geometric eye and eyebrow features. Journal of Electronic Imaging. 27(2). 1–1. 7 indexed citations

12.

Bunyak, Filiz, Ilker Ersoy, Tommi White, İsmail Öztel, & Gözde Yolcu. (2018). Deep learning approaches in electron microscopy imaging for mitochondria segmentation. International Journal of Data Mining and Bioinformatics. 21(2). 91–91. 3 indexed citations

13.

Öztel, İsmail, Gözde Yolcu, Ilker Ersoy, Tommi White, & Filiz Bunyak. (2017). Mitochondria segmentation in electron microscopy volumes using deep convolutional neural network. 1195–1200. 30 indexed citations

14.

Yolcu, Gözde, İsmail Öztel, Cemil Öz, et al.. (2017). Deep learning-based facial expression recognition for monitoring neurological disorders. 1652–1657. 32 indexed citations

15.

Yolcu, Gözde, et al.. (2014). Real Time Virtual Mirror Using Kinect. Balkan Journal of Electrical and Computer Engineering. 2(2). 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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