Frédéric Li
Impact in
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
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- EEG and Brain-Computer Interfaces 4
- Autism Spectrum Disorder Research 2
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- Context-Aware Activity Recognition Systems 5
- Co-authors
- Marcin Grzegorzek (24 shared papers)Kimiaki Shirahama (8 shared papers)Muhammad Adeel Nisar (6 shared papers)Lukas Köping (2 shared papers)Xinyu Huang (6 shared papers)Kerstin Luedtke (4 shared papers)Tibor M. Szikszay (4 shared papers)Wacław M. Adamczyk (3 shared papers)
In The Last Decade
Frédéric Li
23 papers receiving 493 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 256
- Signal Processing 64
- Human-Computer Interaction 32
- Cognitive Neuroscience 83
- Experimental and Cognitive Psychology 54
Countries citing papers authored by Frédéric Li
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
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-authors
The 25 scholars most cited alongside Frédéric Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 243 | |
| 2 | 2020 | 48 | |
| 3 | 2022 | 31 | |
| 4 | 2021 | 30 | |
| 5 | 2020 | 28 | |
| 6 | 2020 | 21 | |
| 7 | 2022 | 16 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 14 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2018 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 4 | |
| 16 | 2015 | 4 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2023 | 2 |
About Frédéric Li
Frédéric Li is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Signal Processing and Biomedical Engineering, having authored 25 papers that have together received 509 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (6 papers), Context-Aware Activity Recognition Systems (5 papers), EEG and Brain-Computer Interfaces (4 papers), Time Series Analysis and Forecasting (3 papers), Anomaly Detection Techniques and Applications (3 papers), Gaze Tracking and Assistive Technology (2 papers), Advanced Chemical Sensor Technologies (2 papers) and Autism Spectrum Disorder Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (256 citations), Signal Processing (64 citations), Human-Computer Interaction (32 citations), Cognitive Neuroscience (83 citations) and Experimental and Cognitive Psychology (54 citations). Frédéric Li has collaborated with scholars based in Germany, Poland and Japan. Frequent co-authors include Marcin Grzegorzek, Kimiaki Shirahama, Muhammad Adeel Nisar, Lukas Köping, Xinyu Huang, Kerstin Luedtke, Tibor M. Szikszay, Wacław M. Adamczyk, Roland Wismüller and Sebastian Fudickar. Their work appears in journals such as Sensors, Computers in Biology and Medicine, Artificial Intelligence in Medicine, Scientific Reports and Electronics.
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.