Cheikh Latyr Fall

1.4k citations

18 papers · 1.0k indexed · 1 hit paper · h-index 12

Biomedical Engineering top 5%
Cognitive Neuroscience top 5%
Human-Computer Interaction top 0.5%
Cellular and Molecular Neuroscience top 10%
Rehabilitation top 5%

Co-authors: Benoit Gosselin Clément Gosselin Alexandre Campeau‐Lecours François Laviolette Ulysse Côté‐Allard Kyrre Glette Alexandre Drouin Martin Morissette
Topics: Muscle activation and electromyography studies (11 papers)Advanced Sensor and Energy Harvesting Materials (6 papers)Gaze Tracking and Assistive Technology (5 papers)
Cited by: Human-Computer Interaction Cognitive Neuroscience Biomedical Engineering
Journals: IEEE Sensors Journal IEEE Transactions on Neural Systems and Rehabilitation Engineering IEEE Journal of Biomedical and Health Informatics
Partner nations: Canada Japan Indonesia

In The Last Decade

Cheikh Latyr Fall

18 papers receiving 1.0k citations

Hit Papers

align trajectories

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.

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

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

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18 of 18 papers shown

#	Work	Indexed citations
1	A Wearable Sensor Network With Embedded Machine Learning for Real-Time Motion Analysis and Complex Posture Detection 2021 ·IEEE Sensors Journal ·(unknown),Gabriel Gagnon-Turcotte,Mathieu Bielmann,Cheikh Latyr Fall,Laurent J. Bouyer,Benoit Gosselin	20
2	Detection of Neuromuscular Activity Using New Non-Invasive and Flexible Multimaterial Fiber Dry-Electrodes 2019 ·IEEE Sensors Journal ·Mourad Roudjane,Simon Tam,(unknown),Cheikh Latyr Fall,Mathieu Bielmann,(unknown),Laurent J. Bouyer,Benoit Gosselin,Younès Messaddeq	12
3	Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learningbreakdown → 2019 ·IEEE Transactions on Neural Systems and Rehabilitation Engineering ·Ulysse Côté‐Allard,Cheikh Latyr Fall,Alexandre Drouin,Alexandre Campeau‐Lecours,Clément Gosselin,Kyrre Glette,François Laviolette,Benoit Gosselin	534
4	A Multimodal Adaptive Wireless Control Interface for People With Upper-Body Disabilities 2018 ·IEEE Transactions on Biomedical Circuits and Systems ·Cheikh Latyr Fall,(unknown),(unknown),(unknown),Alexandre Campeau‐Lecours,Clément Gosselin,Benoit Gosselin	31
5	A Wireless Respiratory Monitoring System Using a Wearable Patch Sensor Network 2018 ·IEEE Sensors Journal ·(unknown),Cheikh Latyr Fall,(unknown),Martin Morissette,François Lellouche,Benoit Gosselin	65
6	Evaluation of a Wearable and Wireless Human-Computer Interface Combining Head Motion and sEMG for People with Upper-Body Disabilities 2018 ·PolyPublie (École Polytechnique de Montréal) ·Cheikh Latyr Fall,Alexandre Campeau‐Lecours,Clément Gosselin,Benoit Gosselin	5
7	A Multichannel Wireless sEMG Sensor Endowing a <tex>$0.13 \ \mu \mathrm{m}$</tex> CMOS Mixed-Signal SoC 2018 ·Corpus Université Laval (Université Laval) ·Gabriel Gagnon-Turcotte,Cheikh Latyr Fall,(unknown),Mathieu Bielmann,Laurent J. Bouyer,Benoit Gosselin	1
8	Real-Time Hand Motion Recognition Using sEMG Patterns Classification 2018 ·PubMed ·(unknown),Cheikh Latyr Fall,(unknown),Clément Gosselin,Alexandre Campeau‐Lecours,Benoit Gosselin	23
9	Non-Invasive and Flexible Electrodes Based on Multimaterial Fiber for sEMG Signal Detection 2018 ·Cheikh Latyr Fall,Mourad Roudjane,(unknown),(unknown),Mathieu Bielmann,Simon Tam,Jean‐Sébastien Roy,Laurent J. Bouyer,Benoit Gosselin,Younès Messaddeq	7
10	The use of mathematics and electric circuit simulator software in the learning process of wireless power transfer for electrical engineering students 2017 ·AIP conference proceedings ·(unknown),Cheikh Latyr Fall,(unknown),(unknown),(unknown),Rini Nur Hasanah	1
11	A top-down approach in control engineering third-level teaching: The case of hydrogen-generation 2017 ·AIP conference proceedings ·(unknown),(unknown),Cheikh Latyr Fall,(unknown)	1
12	Transfer learning for sEMG hand gestures recognition using convolutional neural networks 2017 ·Ulysse Côté‐Allard,Cheikh Latyr Fall,Alexandre Campeau‐Lecours,Clément Gosselin,François Laviolette,Benoit Gosselin	138
13	Embedded system based on PWM control of hydrogen generator with SEPIC converter 2017 ·AIP conference proceedings ·Cheikh Latyr Fall,(unknown),(unknown),(unknown)	1
14	Wireless respiratory monitoring and coughing detection using a wearable patch sensor network 2017 ·(unknown),Cheikh Latyr Fall,Martin Morissette,François Lellouche,Benoit Gosselin	22
15	A multimodal adaptive wireless control interface for people with upper-body disabilities 2017 ·Cheikh Latyr Fall,(unknown),Alexandre Campeau‐Lecours,(unknown),(unknown),Clément Gosselin,Benoit Gosselin	11
16	Wireless sEMG-Based Body–Machine Interface for Assistive Technology Devices 2016 ·IEEE Journal of Biomedical and Health Informatics ·Cheikh Latyr Fall,Gabriel Gagnon-Turcotte,(unknown),(unknown),(unknown),Alexandre Campeau‐Lecours,Clément Gosselin,Benoit Gosselin	26
17	A convolutional neural network for robotic arm guidance using sEMG based frequency-features 2016 ·(unknown),François Nougarou,Cheikh Latyr Fall,Philippe Giguère,Clément Gosselin,François Laviolette,Benoit Gosselin	101
18	Intuitive wireless control of a robotic arm for people living with an upper body disability 2015 ·PubMed ·Cheikh Latyr Fall,(unknown),Alexandre Campeau‐Lecours,(unknown),Mounir Boukadoum,Sébastien Roy,(unknown),Clément Gosselin,Benoit Gosselin	25

About Cheikh Latyr Fall

Cheikh Latyr Fall is a scholar working on Human-Computer Interaction, Architecture and Occupational Therapy, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this 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). The work is most often cited by research in Human-Computer Interaction (408 citations), Cognitive Neuroscience (472 citations) and Biomedical Engineering (804 citations). Cheikh Latyr Fall has collaborated with scholars based in Canada, Japan and Indonesia. Frequent 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. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Neural Systems and Rehabilitation Engineering and IEEE Journal of Biomedical and Health Informatics.

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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