Cheikh Latyr Fall

1.4k total citations · 1 hit paper
18 papers, 1.0k citations indexed

About

Cheikh Latyr Fall is a scholar working on Biomedical Engineering, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Cheikh Latyr Fall has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 6 papers in Human-Computer Interaction and 5 papers in Cognitive Neuroscience. Recurrent topics in Cheikh Latyr Fall's work include Muscle activation and electromyography studies (11 papers), Advanced Sensor and Energy Harvesting Materials (6 papers) and Gaze Tracking and Assistive Technology (5 papers). Cheikh Latyr Fall is often cited by papers focused on Muscle activation and electromyography studies (11 papers), Advanced Sensor and Energy Harvesting Materials (6 papers) and Gaze Tracking and Assistive Technology (5 papers). Cheikh Latyr Fall collaborates with scholars based in Canada, Japan and Indonesia. Cheikh Latyr Fall's co-authors include Benoit Gosselin, Clément Gosselin, Alexandre Campeau‐Lecours, François Laviolette, Ulysse Côté‐Allard, Kyrre Glette, Alexandre Drouin, Martin Morissette, Philippe Giguère and François Nougarou and has published in prestigious journals such as IEEE Sensors Journal, IEEE Transactions on Neural Systems and Rehabilitation Engineering and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Cheikh Latyr Fall

18 papers receiving 1.0k citations

Hit Papers

Deep Learning for Electromyographic Hand Gesture Signal C... 2019 2026 2021 2023 2019 100 200 300 400 500
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. Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
    2019 534 citations Ulysse Côté‐Allard, Cheikh Latyr Fall et al. IEEE Transactions on Neural Systems and Rehabilitation Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheikh Latyr Fall Canada 12 804 472 408 152 86 18 1.0k
Ulysse Côté‐Allard Norway 9 709 0.9× 442 0.9× 378 0.9× 155 1.0× 59 0.7× 24 906
Yinfeng Fang China 16 722 0.9× 515 1.1× 264 0.6× 243 1.6× 63 0.7× 54 984
Matteo Cognolato Switzerland 11 943 1.2× 668 1.4× 437 1.1× 256 1.7× 63 0.7× 21 1.2k
Inhyuk Moon South Korea 14 771 1.0× 554 1.2× 308 0.8× 289 1.9× 84 1.0× 40 1.0k
Marco E. Benalcázar Ecuador 16 471 0.6× 281 0.6× 434 1.1× 79 0.5× 41 0.5× 45 763
Wentao Wei China 10 1.3k 1.7× 875 1.9× 715 1.8× 280 1.8× 66 0.8× 20 1.6k
Asim Waris Pakistan 21 787 1.0× 473 1.0× 223 0.5× 225 1.5× 147 1.7× 76 1.4k
Lotte N. S. Andreasen Struijk Denmark 19 498 0.6× 622 1.3× 588 1.4× 176 1.2× 151 1.8× 94 1.1k
Zhen Gang Xiao Canada 16 872 1.1× 465 1.0× 200 0.5× 225 1.5× 217 2.5× 32 1.0k

Countries citing papers authored by Cheikh Latyr Fall

Since Specialization
Citations

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

Fields of papers citing papers by Cheikh Latyr Fall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheikh Latyr Fall. 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 Cheikh Latyr Fall. The network helps show where Cheikh Latyr Fall may publish in the future.

Co-authorship network of co-authors of Cheikh Latyr Fall

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

All Works

18 of 18 papers shown
1.
Gagnon-Turcotte, Gabriel, et al.. (2021). A Wearable Sensor Network With Embedded Machine Learning for Real-Time Motion Analysis and Complex Posture Detection. IEEE Sensors Journal. 22(8). 7868–7876. 20 indexed citations
2.
Roudjane, Mourad, Simon Tam, Cheikh Latyr Fall, et al.. (2019). Detection of Neuromuscular Activity Using New Non-Invasive and Flexible Multimaterial Fiber Dry-Electrodes. IEEE Sensors Journal. 19(23). 11624–11633. 12 indexed citations
3.
Côté‐Allard, Ulysse, Cheikh Latyr Fall, Alexandre Drouin, et al.. (2019). Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(4). 760–771. 534 indexed citations breakdown →
4.
Fall, Cheikh Latyr, et al.. (2018). A Multimodal Adaptive Wireless Control Interface for People With Upper-Body Disabilities. IEEE Transactions on Biomedical Circuits and Systems. 12(3). 564–575. 31 indexed citations
5.
Fall, Cheikh Latyr, et al.. (2018). A Wireless Respiratory Monitoring System Using a Wearable Patch Sensor Network. IEEE Sensors Journal. 19(2). 650–657. 65 indexed citations
6.
Fall, Cheikh Latyr, Alexandre Campeau‐Lecours, Clément Gosselin, & Benoit Gosselin. (2018). Evaluation of a Wearable and Wireless Human-Computer Interface Combining Head Motion and sEMG for People with Upper-Body Disabilities. PolyPublie (École Polytechnique de Montréal). 5 indexed citations
7.
Gagnon-Turcotte, Gabriel, et al.. (2018). A Multichannel Wireless sEMG Sensor Endowing a <tex>$0.13 \ \mu \mathrm{m}$</tex> CMOS Mixed-Signal SoC. Corpus Université Laval (Université Laval). 1–4. 1 indexed citations
8.
Fall, Cheikh Latyr, et al.. (2018). Real-Time Hand Motion Recognition Using sEMG Patterns Classification. PubMed. 2018. 2655–2658. 23 indexed citations
9.
Fall, Cheikh Latyr, Mourad Roudjane, Mathieu Bielmann, et al.. (2018). Non-Invasive and Flexible Electrodes Based on Multimaterial Fiber for sEMG Signal Detection. 60. 179–182. 7 indexed citations
10.
Fall, Cheikh Latyr, et al.. (2017). The use of mathematics and electric circuit simulator software in the learning process of wireless power transfer for electrical engineering students. AIP conference proceedings. 1887. 20017–20017. 1 indexed citations
11.
Fall, Cheikh Latyr, et al.. (2017). A top-down approach in control engineering third-level teaching: The case of hydrogen-generation. AIP conference proceedings. 1887. 20016–20016. 1 indexed citations
12.
Côté‐Allard, Ulysse, Cheikh Latyr Fall, Alexandre Campeau‐Lecours, et al.. (2017). Transfer learning for sEMG hand gestures recognition using convolutional neural networks. 1663–1668. 138 indexed citations
13.
Fall, Cheikh Latyr, et al.. (2017). Embedded system based on PWM control of hydrogen generator with SEPIC converter. AIP conference proceedings. 1887. 20018–20018. 1 indexed citations
14.
15.
Fall, Cheikh Latyr, et al.. (2017). A multimodal adaptive wireless control interface for people with upper-body disabilities. 1–4. 11 indexed citations
16.
Fall, Cheikh Latyr, et al.. (2016). Wireless sEMG-Based Body–Machine Interface for Assistive Technology Devices. IEEE Journal of Biomedical and Health Informatics. 21(4). 967–977. 26 indexed citations
17.
Nougarou, François, Cheikh Latyr Fall, Philippe Giguère, et al.. (2016). A convolutional neural network for robotic arm guidance using sEMG based frequency-features. 2464–2470. 101 indexed citations
18.
Fall, Cheikh Latyr, Alexandre Campeau‐Lecours, Mounir Boukadoum, et al.. (2015). Intuitive wireless control of a robotic arm for people living with an upper body disability. PubMed. 2015. 4399–4402. 25 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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