Tarkan Aydın

649 total citations · 1 hit paper
19 papers, 430 citations indexed

About

Tarkan Aydın is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Tarkan Aydın has authored 19 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 4 papers in Aerospace Engineering. Recurrent topics in Tarkan Aydın's work include Advanced Vision and Imaging (9 papers), Image Processing Techniques and Applications (5 papers) and Advanced Neural Network Applications (4 papers). Tarkan Aydın is often cited by papers focused on Advanced Vision and Imaging (9 papers), Image Processing Techniques and Applications (5 papers) and Advanced Neural Network Applications (4 papers). Tarkan Aydın collaborates with scholars based in Türkiye, Bangladesh and Malta. Tarkan Aydın's co-authors include Hünkar Can Tunç, Hülya Apaydın, Melih Tütüncü, Betül Erdoğdu Şakar, Ayşegül Gündüz, Hatice Nizam Ozogur, C. Okan Sakar, Görkem Serbes, M. Erdem Isenkul and Yusuf Sinan Akgül and has published in prestigious journals such as Optics Express, IEEE Access and Applied Soft Computing.

In The Last Decade

Tarkan Aydın

15 papers receiving 410 citations

Hit Papers

A comparative analysis of speech signal processing algori... 2018 2026 2020 2023 2018 100 200 300
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. A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform
    2018 352 citations C. Okan Sakar, Görkem Serbes et al. Applied Soft Computing profile →

Peers

Tarkan Aydın
Hatice Nizam Ozogur Türkiye
Hünkar Can Tunç Denmark
Roberto Rosas-Romero Mexico
Tarun Gulati India
M. Erdem Isenkul Türkiye
Francis Grenez Belgium
Asad Malik China
Chafic Mokbel France
Cemal Hanilçi Türkiye
D. Govind India
Hatice Nizam Ozogur Türkiye
Tarkan Aydın
Citations per year, relative to Tarkan Aydın Tarkan Aydın (= 1×) peers Hatice Nizam Ozogur

Countries citing papers authored by Tarkan Aydın

Since Specialization
Citations

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

Fields of papers citing papers by Tarkan Aydın

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tarkan Aydın

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

All Works

19 of 19 papers shown
1.
Aydın, Tarkan, et al.. (2024). WNet: A dual‐encoded multi‐human parsing network. IET Image Processing. 18(12). 3316–3328.
2.
Sadeghzadeh, Arezoo, Md Baharul Islam, Md Nur Uddin, & Tarkan Aydın. (2024). ARVA: An Augmented Reality-Based Visual Aid for Mobility Enhancement Through Real-Time Video Stream Transformation. IEEE Access. 12. 137268–137283. 1 indexed citations
3.
Aydın, Tarkan, et al.. (2024). Edge devices friendly multi-human parsing with lightweight encoding and multi-scale self-attention based decoding. Multimedia Tools and Applications. 84(22). 25027–25047.
4.
Sadeghzadeh, Arezoo, Masum Shah Junayed, Tarkan Aydın, & Md Baharul Islam. (2023). Hybrid CNN+Transformer for Diabetic Retinopathy Recognition and Grading. 1–6. 4 indexed citations
5.
Junayed, Masum Shah, Arezoo Sadeghzadeh, Md Baharul Islam, Lai-Kuan Wong, & Tarkan Aydın. (2022). HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 5208–5217. 5 indexed citations
6.
Islam, Md Baharul, et al.. (2022). Stereoscopic video quality measurement with fine-tuning 3D ResNets. Multimedia Tools and Applications. 81(29). 42849–42869. 2 indexed citations
7.
Aydın, Tarkan, et al.. (2022). Performance Assessment of Physiotherapy and Rehabilitation Exercises with Deep Learning. Kocaeli Üniversitesi - AVESİS. 1–4.
8.
Junayed, Masum Shah, et al.. (2022). PDS-Net: A novel point and depth-wise separable convolution for real-time object detection. International Journal of Multimedia Information Retrieval. 11(2). 171–188. 10 indexed citations
9.
Islam, Md Baharul, et al.. (2021). DeepPyNet: A Deep Feature Pyramid Network for Optical Flow Estimation. 32. 1–6.
10.
Junayed, Masum Shah, Md Baharul Islam, Arezoo Sadeghzadeh, & Tarkan Aydın. (2021). Real-Time YOLO-based Heterogeneous Front Vehicles Detection. 1–7. 4 indexed citations
11.
Sakar, C. Okan, Görkem Serbes, Ayşegül Gündüz, et al.. (2018). A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform. Applied Soft Computing. 74. 255–263. 352 indexed citations breakdown →
12.
Aydın, Tarkan, et al.. (2016). Automatic scale and image selection for panoramic images. 2001–2004. 1 indexed citations
13.
Aydın, Tarkan, et al.. (2015). A multi-sensor integrated head-mounted display setup for augmented reality applications. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 1–4. 5 indexed citations
14.
Aydın, Tarkan, et al.. (2013). Automatic fall detection for elderly by using features extracted from skeletal data. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 127–130. 7 indexed citations
15.
Erdem, A. Tanju, Ali Özer Ercan, & Tarkan Aydın. (2013). Internal calibration of a camera and an inertial measurement unit. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 1–4. 3 indexed citations
16.
Aydın, Tarkan & Yusuf Sinan Akgül. (2010). An occlusion insensitive adaptive focus measurement method. Optics Express. 18(13). 14212–14212. 17 indexed citations
17.
Aydın, Tarkan & Yusuf Sinan Akgül. (2010). Stereo depth estimation using synchronous optimization with segment based regularization. Pattern Recognition Letters. 31(15). 2389–2396. 5 indexed citations
18.
Aydın, Tarkan & Yusuf Sinan Akgül. (2008). A New Adaptive Focus Measure for Shape From Focus. 8.1–8.10. 13 indexed citations
19.
Aydın, Tarkan & Yusuf Sinan Akgül. (2006). 3D Structure Recovery From Stereo Using Synchronous Optimization Processes. 120.1–120.10. 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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