Yekta Said Can

1.6k total citations · 1 hit paper
43 papers, 1.0k citations indexed

About

Yekta Said Can is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yekta Said Can has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Experimental and Cognitive Psychology, 14 papers in Computer Vision and Pattern Recognition and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yekta Said Can's work include Emotion and Mood Recognition (14 papers), Heart Rate Variability and Autonomic Control (10 papers) and Non-Invasive Vital Sign Monitoring (6 papers). Yekta Said Can is often cited by papers focused on Emotion and Mood Recognition (14 papers), Heart Rate Variability and Autonomic Control (10 papers) and Non-Invasive Vital Sign Monitoring (6 papers). Yekta Said Can collaborates with scholars based in Türkiye, Germany and Italy. Yekta Said Can's co-authors include Cem Ersoy, Bert Arnrich, Deniz Ekiz, Niaz Chalabianloo, Giuseppe Riva, Javier Fernández‐Álvarez, Elisabeth André, Claudia Repetto, Heather Iles‐Smith and Holger Regenbrecht and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and Sensors.

In The Last Decade

Yekta Said Can

35 papers receiving 979 citations

Hit Papers

Stress detection in daily life scenarios using smart phon... 2019 2026 2021 2023 2019 50 100 150 200 250
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. Stress detection in daily life scenarios using smart phones and wearable sensors: A survey
    2019 298 citations Yekta Said Can, Bert Arnrich et al. Journal of Biomedical Informatics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yekta Said Can Türkiye 14 410 307 262 223 121 43 1.0k
Martin Gjoreski Slovenia 18 477 1.2× 435 1.4× 426 1.6× 289 1.3× 170 1.4× 69 1.4k
Claus Marberger Germany 7 401 1.0× 253 0.8× 183 0.7× 204 0.9× 184 1.5× 13 833
Beena Ahmed Qatar 18 363 0.9× 184 0.6× 189 0.7× 354 1.6× 70 0.6× 105 1.2k
Giorgos Giannakakis Greece 18 588 1.4× 407 1.3× 289 1.1× 515 2.3× 242 2.0× 59 1.6k
Cornelia Setz Switzerland 10 325 0.8× 198 0.6× 167 0.6× 241 1.1× 161 1.3× 11 760
Natasha Jaques United States 14 433 1.1× 125 0.4× 102 0.4× 233 1.0× 144 1.2× 34 1.0k
Johannes Schumm Switzerland 10 305 0.7× 216 0.7× 336 1.3× 323 1.4× 219 1.8× 15 990
Ane Alberdi Spain 10 193 0.5× 151 0.5× 141 0.5× 168 0.8× 90 0.7× 17 926
Amir Muaremi Switzerland 12 350 0.9× 98 0.3× 164 0.6× 95 0.4× 80 0.7× 35 972
Asier Aztiria Spain 9 194 0.5× 150 0.5× 139 0.5× 169 0.8× 90 0.7× 20 804

Countries citing papers authored by Yekta Said Can

Since Specialization
Citations

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

Fields of papers citing papers by Yekta Said Can

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yekta Said Can. 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 Yekta Said Can. The network helps show where Yekta Said Can may publish in the future.

Co-authorship network of co-authors of Yekta Said Can

This figure shows the co-authorship network connecting the top 25 collaborators of Yekta Said Can. A scholar is included among the top collaborators of Yekta Said Can 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 Yekta Said Can. Yekta Said Can 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.
Can, Yekta Said, et al.. (2025). Application of Multimodal Self-Supervised Architectures for Daily Life Affect Recognition. IEEE Transactions on Affective Computing. 16(3). 2454–2465.
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Can, Yekta Said, et al.. (2024). Relieving the burden of intensive labeling for stress monitoring in the wild by using semi-supervised learning. Frontiers in Psychology. 14. 1293513–1293513. 5 indexed citations
6.
Can, Yekta Said, et al.. (2024). Emotion-Aware Multimodal Biometric Identification by Using Biosignals. 1195–1200.
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Can, Yekta Said, et al.. (2024). Sentiment Analysis for Hotel Reviews in Turkish by Using LLMs. 210–214. 1 indexed citations
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Can, Yekta Said, et al.. (2023). Approaches, Applications, and Challenges in Physiological Emotion Recognition—A Tutorial Overview. Proceedings of the IEEE. 111(10). 1287–1313. 31 indexed citations
10.
Can, Yekta Said, et al.. (2023). A Privacy-Preserving Multi-Task Learning Framework For Emotion and Identity Recognition from Multimodal Physiological Signals. OPUS (Augsburg University). 1–8. 5 indexed citations
11.
Can, Yekta Said, et al.. (2023). Context and Sentiment Aware Chatbot for Tourism Applications. 1–4.
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Can, Yekta Said, et al.. (2021). Automatic Estimation of Age Distributions from the First Ottoman Empire Population Register Series by Using Deep Learning. Electronics. 10(18). 2253–2253. 1 indexed citations
13.
Can, Yekta Said & Cem Ersoy. (2021). Privacy-preserving Federated Deep Learning for Wearable IoT-based Biomedical Monitoring. ACM Transactions on Internet Technology. 21(1). 1–17. 83 indexed citations
14.
Can, Yekta Said, Heather Iles‐Smith, Niaz Chalabianloo, et al.. (2020). How to Relax in Stressful Situations: A Smart Stress Reduction System. Healthcare. 8(2). 100–100. 45 indexed citations
15.
Can, Yekta Said, Niaz Chalabianloo, Deniz Ekiz, et al.. (2020). Real-Life Stress Level Monitoring Using Smart Bands in the Light of Contextual Information. IEEE Sensors Journal. 20(15). 8721–8730. 32 indexed citations
16.
Can, Yekta Said, Niaz Chalabianloo, Deniz Ekiz, et al.. (2020). Personal Stress-Level Clustering and Decision-Level Smoothing to Enhance the Performance of Ambulatory Stress Detection With Smartwatches. IEEE Access. 8. 38146–38163. 75 indexed citations
17.
Can, Yekta Said, et al.. (2020). Curation of Historical Arabic Handwritten Digit Datasets from Ottoman Population Registers: A Deep Transfer Learning Case Study. OPUS (Augsburg University). 1853–1860. 1 indexed citations
18.
Can, Yekta Said, et al.. (2020). How Laboratory Experiments Can Be Exploited for Monitoring Stress in the Wild: A Bridge Between Laboratory and Daily Life. Sensors. 20(3). 838–838. 41 indexed citations
19.
Can, Yekta Said, Bert Arnrich, & Cem Ersoy. (2019). Stress detection in daily life scenarios using smart phones and wearable sensors: A survey. Journal of Biomedical Informatics. 92. 103139–103139. 298 indexed citations breakdown →
20.
Chalabianloo, Niaz, Deniz Ekiz, Yekta Said Can, & Cem Ersoy. (2018). Smart watch based stress detection in real life. 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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