Anıl Yüce
Impact in
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- Emotion and Mood Recognition
- Sleep and Work-Related Fatigue
Papers in
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- Emotion and Mood Recognition 5
- Sleep and Work-Related Fatigue 2
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- Face and Expression Recognition 2
- Co-authors
- Jean‐Philippe Thiran (7 shared papers)Hua Gao (3 shared papers)Eleni Kroupi (1 shared paper)Touradj Ebrahimi (1 shared paper)Björn W. Schuller (1 shared paper)Florian Eyben (1 shared paper)Fabien Ringeval (1 shared paper)Denis Lalanne (1 shared paper)
- Journals
- IEEE Transactions on Biomedical Engineering (1 paper)HemaSphere (1 paper)IEEE Transactions on Affective Computing (1 paper)Pattern Recognition Letters (1 paper)Blood (1 paper)
- Partner nations
- SwitzerlandUnited KingdomGermany
In The Last Decade
Anıl Yüce
9 papers receiving 377 citations
Peers
Comparison fields: 5 of 58
- Experimental and Cognitive Psychology 264
- Health Informatics 11
- Signal Processing 69
- Anesthesiology and Pain Medicine 36
- Human-Computer Interaction 27
Countries citing papers authored by Anıl Yüce
This map shows the geographic impact of Anıl Yüce'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 Anıl Yüce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anıl Yüce more than expected).
Fields of papers citing papers by Anıl Yüce
This network shows the impact of papers produced by Anıl Yüce. 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 Anıl Yüce. The network helps show where Anıl Yüce may publish in the future.
Co-authors
The 24 scholars most cited alongside Anıl Yüce, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 141 | |
| 2 | 2014 | 136 | |
| 3 | 2015 | 46 | |
| 4 | 2015 | 33 | |
| 5 | 2016 | 19 | |
| 6 | 2013 | 10 | |
| 7 | 2013 | 4 | |
| 8 | Molecular Subtype Prediction for Breast Cancer Using H&E Specialized Backbone | 2021 | 2 |
| 9 | [Dental restoration using intubation anesthesia]. | 1981 | 1 |
| 10 | Automatic Mallampati Classification Using Active Appearance Models | 2012 | 1 |
| 11 | 2024 | 0 | |
| 12 | 2023 | 0 |
About Anıl Yüce
Anıl Yüce is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Anesthesiology and Pain Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 393 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (5 papers), Airway Management and Intubation Techniques (3 papers), Gaze Tracking and Assistive Technology (2 papers), Face and Expression Recognition (2 papers), AI in cancer detection (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Obstructive Sleep Apnea Research (2 papers) and Sleep and Work-Related Fatigue (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (264 citations), Health Informatics (11 citations), Signal Processing (69 citations), Anesthesiology and Pain Medicine (36 citations) and Human-Computer Interaction (27 citations). Anıl Yüce has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include Jean‐Philippe Thiran, Hua Gao, Eleni Kroupi, Touradj Ebrahimi, Björn W. Schuller, Florian Eyben, Fabien Ringeval, Denis Lalanne, Christophe Perruchoud and Patrick Schoettker. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, HemaSphere, IEEE Transactions on Affective Computing, Pattern Recognition Letters and Blood.
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.