Anıl Yüce

604 total citations
12 papers, 393 citations indexed

About

Anıl Yüce is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Anesthesiology and Pain Medicine. According to data from OpenAlex, Anıl Yüce has authored 12 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Experimental and Cognitive Psychology, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Anesthesiology and Pain Medicine. Recurrent topics in Anıl Yüce's work include Emotion and Mood Recognition (5 papers), Airway Management and Intubation Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Anıl Yüce is often cited by papers focused on Emotion and Mood Recognition (5 papers), Airway Management and Intubation Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Anıl Yüce collaborates with scholars based in Switzerland, United Kingdom and Germany. Anıl Yüce's co-authors include Jean‐Philippe Thiran, Hua Gao, Fabien Ringeval, Florian Eyben, Touradj Ebrahimi, Denis Lalanne, Björn W. Schuller, Eleni Kroupi, Patrick Schoettker and Christophe Perruchoud and has published in prestigious journals such as Blood, IEEE Transactions on Biomedical Engineering and Pattern Recognition Letters.

In The Last Decade

Anıl Yüce

9 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anıl Yüce Switzerland 6 264 99 79 71 70 12 393
Robert Niese Germany 12 233 0.9× 267 2.7× 99 1.3× 27 0.4× 44 0.6× 28 478
Sebastian Kaltwang United Kingdom 4 145 0.5× 102 1.0× 52 0.7× 40 0.6× 10 0.1× 6 251
Josep M. Gonfaus Spain 7 142 0.5× 311 3.1× 50 0.6× 65 0.9× 8 0.1× 12 525
Susana Brás Portugal 10 57 0.2× 20 0.2× 84 1.1× 23 0.3× 101 1.4× 56 345
Teena Hassan Germany 7 77 0.3× 41 0.4× 71 0.9× 46 0.6× 17 0.2× 15 219
Pamela Zontone Italy 12 155 0.6× 101 1.0× 104 1.3× 65 0.9× 126 1.8× 42 390
Joaquín Roca González Spain 7 64 0.2× 25 0.3× 116 1.5× 62 0.9× 31 0.4× 17 295
Michalis Papakostas United States 13 118 0.4× 78 0.8× 68 0.9× 57 0.8× 23 0.3× 31 325
S. Jerritta India 11 259 1.0× 63 0.6× 246 3.1× 52 0.7× 111 1.6× 20 428
Pekka Loula Finland 11 69 0.3× 26 0.3× 127 1.6× 14 0.2× 57 0.8× 39 328

Countries citing papers authored by Anıl Yüce

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Anıl Yüce

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

All Works

12 of 12 papers shown
1.
Yüce, Anıl, Christian Doerig, Agata Mosinska, et al.. (2024). Deep Learning Predicts Risk of Large B-Cell Lymphoma Progression upon R-CHOP Therapy from Baseline Histology. Blood. 144(Supplement 1). 108–108.
2.
3.
Abbasi-Sureshjani, Samaneh, et al.. (2021). Molecular Subtype Prediction for Breast Cancer Using H&E Specialized Backbone. 1–9. 2 indexed citations
4.
Yüce, Anıl, et al.. (2016). Action Units and Their Cross-Correlations for Prediction of Cognitive Load during Driving. IEEE Transactions on Affective Computing. 8(2). 161–175. 19 indexed citations
5.
Yüce, Anıl, Hua Gao, & Jean‐Philippe Thiran. (2015). Discriminant multi-label manifold embedding for facial Action Unit detection. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–6. 33 indexed citations
6.
Schoettker, Patrick, et al.. (2015). Facial Image Analysis for Fully Automatic Prediction of Difficult Endotracheal Intubation. IEEE Transactions on Biomedical Engineering. 63(2). 328–339. 46 indexed citations
7.
Gao, Hua, Anıl Yüce, & Jean‐Philippe Thiran. (2014). Detecting emotional stress from facial expressions for driving safety. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 5961–5965. 136 indexed citations
8.
Ringeval, Fabien, Florian Eyben, Eleni Kroupi, et al.. (2014). Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data. Pattern Recognition Letters. 66. 22–30. 141 indexed citations
9.
Yüce, Anıl, et al.. (2013). Improved local binary pattern based action unit detection using morphological and bilateral filters. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1. 1–7. 4 indexed citations
10.
Almaev, Timur, et al.. (2013). Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 535–542. 10 indexed citations
11.
Yüce, Anıl, et al.. (2012). Automatic Mallampati Classification Using Active Appearance Models. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
12.
Yüce, Anıl, et al.. (1981). [Dental restoration using intubation anesthesia].. PubMed. 90(2). 54, 56, 59–54, 56, 59. 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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