Frédéric Li

770 total citations
25 papers, 509 citations indexed

About

Frédéric Li is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Frédéric Li has authored 25 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Frédéric Li's work include Emotion and Mood Recognition (6 papers), Context-Aware Activity Recognition Systems (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Frédéric Li is often cited by papers focused on Emotion and Mood Recognition (6 papers), Context-Aware Activity Recognition Systems (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Frédéric Li collaborates with scholars based in Germany, Poland and Japan. Frédéric Li's co-authors include Marcin Grzegorzek, Kimiaki Shirahama, Muhammad Adeel Nisar, Lukas Köping, Xinyu Huang, Tibor M. Szikszay, Kerstin Luedtke, Wacław M. Adamczyk, Roland Wismüller and Sebastian Fudickar and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Frédéric Li

23 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frédéric Li Germany 11 256 140 119 85 83 25 509
Muhammad Adeel Nisar Germany 10 266 1.0× 146 1.0× 115 1.0× 84 1.0× 55 0.7× 17 477
Narit Hnoohom Thailand 14 377 1.5× 209 1.5× 103 0.9× 116 1.4× 58 0.7× 84 725
Heli Koskimäki Finland 13 192 0.8× 164 1.2× 87 0.7× 52 0.6× 56 0.7× 38 645
Stephen Xia United States 11 287 1.1× 170 1.2× 128 1.1× 68 0.8× 69 0.8× 47 715
Pekka Siirtola Finland 18 457 1.8× 226 1.6× 163 1.4× 124 1.5× 73 0.9× 58 967
Marc Bächlin Switzerland 12 299 1.2× 497 3.5× 126 1.1× 87 1.0× 104 1.3× 17 1.1k
Mohammad A. Haque Denmark 15 136 0.5× 102 0.7× 63 0.5× 161 1.9× 54 0.7× 40 622
Aosen Wang United States 14 173 0.7× 351 2.5× 62 0.5× 62 0.7× 89 1.1× 31 714
Mounir Mokhtari France 13 245 1.0× 227 1.6× 85 0.7× 122 1.4× 191 2.3× 59 852

Countries citing papers authored by Frédéric Li

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Li

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Li. A scholar is included among the top collaborators of Frédéric Li 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 Frédéric Li. Frédéric Li 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.
Li, Frédéric, et al.. (2025). eVAS: A user-friendly electronic Visual Analogue Scale. The Journal of Open Source Software. 10(107). 6876–6876.
2.
Li, Frédéric, et al.. (2025). A comprehensive survey and comparative analysis of time series data augmentation in medical wearable computing. PLoS ONE. 20(3). e0315343–e0315343. 2 indexed citations
3.
Li, Frédéric, Wacław M. Adamczyk, Tibor M. Szikszay, et al.. (2024). An Experimental and Clinical Physiological Signal Dataset for Automated Pain Recognition. Scientific Data. 11(1). 1051–1051. 4 indexed citations
4.
Geritz, Johanna, Frédéric Li, Xinyu Huang, et al.. (2024). Predicting executive functioning from walking features in Parkinson’s disease using machine learning. Scientific Reports. 14(1). 29522–29522. 2 indexed citations
5.
Li, Frédéric, Muhammad Adeel Nisar, Xinyu Huang, et al.. (2023). Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data. Computers in Biology and Medicine. 166. 107489–107489. 11 indexed citations
6.
Li, Frédéric, Marcin Grzegorzek, Tobias Bäumer, et al.. (2023). Automated Motor Tic Detection: A Machine Learning Approach. Movement Disorders. 38(7). 1327–1335. 14 indexed citations
7.
Sieciński, Szymon, et al.. (2023). Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks. Sensors. 23(12). 5551–5551. 1 indexed citations
8.
Li, Frédéric, Kimiaki Shirahama, Wacław M. Adamczyk, et al.. (2023). Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain Recognition. Sensors. 23(4). 1959–1959. 15 indexed citations
9.
Li, Frédéric, et al.. (2023). WiFi Sensing with Single-Antenna Devices for Ambient Assisted Living. 1–8. 2 indexed citations
10.
Li, Frédéric, et al.. (2023). Embedding-Based Music Emotion Recognition Using Composite Loss. IEEE Access. 11. 36579–36604. 2 indexed citations
11.
12.
Nisar, Muhammad Adeel, et al.. (2022). SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors. Sensors. 22(20). 7711–7711. 16 indexed citations
13.
Li, Frédéric, et al.. (2021). Comparison of Feature Extraction Methods for Physiological Signals for Heat-Based Pain Recognition. Sensors. 21(14). 4838–4838. 30 indexed citations
14.
Li, Frédéric, Kimiaki Shirahama, Muhammad Adeel Nisar, Xinyu Huang, & Marcin Grzegorzek. (2020). Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification. Sensors. 20(15). 4271–4271. 48 indexed citations
15.
Nisar, Muhammad Adeel, Kimiaki Shirahama, Frédéric Li, Xinyu Huang, & Marcin Grzegorzek. (2020). Rank Pooling Approach for Wearable Sensor-Based ADLs Recognition. Sensors. 20(12). 3463–3463. 21 indexed citations
16.
Huang, Xinyu, Kimiaki Shirahama, Frédéric Li, & Marcin Grzegorzek. (2020). Sleep stage classification for child patients using DeConvolutional Neural Network. Artificial Intelligence in Medicine. 110. 101981–101981. 28 indexed citations
17.
Li, Frédéric, Kimiaki Shirahama, Muhammad Adeel Nisar, Lukas Köping, & Marcin Grzegorzek. (2018). Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors. Sensors. 18(2). 679–679. 243 indexed citations
18.
Li, Frédéric, et al.. (2018). [Regular Paper] Biomedical Data Acquisition and Processing to Recognize Emotions for Affective Learning. 19. 126–132. 8 indexed citations
19.
Li, Frédéric, Lukas Köping, Sebastian Schmitz, & Marcin Grzegorzek. (2017). Real-Time Gesture Recognition using a Particle Filtering Approach. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 394–401. 2 indexed citations
20.
Shirahama, Kimiaki, et al.. (2015). Object detection and depth estimation for 3D trajectory extraction. 30. 1–6. 4 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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