Ali Moin

1.2k total citations · 1 hit paper
13 papers, 910 citations indexed

About

Ali Moin is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ali Moin has authored 13 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 6 papers in Electrical and Electronic Engineering and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ali Moin's work include Ferroelectric and Negative Capacitance Devices (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Muscle activation and electromyography studies (4 papers). Ali Moin is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Muscle activation and electromyography studies (4 papers). Ali Moin collaborates with scholars based in United States, Italy and Switzerland. Ali Moin's co-authors include Jan M. Rabaey, Andy Zhou, George Alexandrov, Fred Burghardt, Abbas Rahimi, Simone Benatti, Luca Benini, Senam Tamakloe, Alisha Menon and Jonathan Ting and has published in prestigious journals such as Proceedings of the IEEE, Sensors and Depression and Anxiety.

In The Last Decade

Ali Moin

12 papers receiving 891 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.

A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition

2020 502 citations Ali Moin, Andy Zhou et al. Nature Electronics profile →

Peers

Countries citing papers authored by Ali Moin

Since Specialization

Citations

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

Fields of papers citing papers by Ali Moin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Moin

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	EMG Acquisition and Processing for Hand Movement Decoding on Embedded Systems: State of the Art and Challenges 2025 ·Proceedings of the IEEE ·Simone Benatti, Elisa Donati, Ali Moin, (unknown), (unknown), Alessio Burrello, Fiorenzo Artoni, Silvestro Micera, Luca Benini, Jan M. Rabaey	0
2	Adaptive Body Area Networks Using Kinematics and Biosignals 2020 ·IEEE Journal of Biomedical and Health Informatics ·Ali Moin, Arno Thielens, Álvaro Araújo, Alberto Sangiovanni‐Vincentelli, Jan M. Rabaey	18
3	A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition breakdown → 2020 ·Nature Electronics ·Ali Moin, Andy Zhou, Abbas Rahimi, Alisha Menon, Simone Benatti, George Alexandrov, Senam Tamakloe, Jonathan Ting, Natasha A. D. Yamamoto, Yasser Khan, Fred Burghardt, Luca Benini, Ana Claudia Arias, Jan M. Rabaey	502
4	Analysis of Contraction Effort Level in EMG-Based Gesture Recognition Using Hyperdimensional Computing 2019 ·Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) ·Ali Moin, Andy Zhou, Simone Benatti, Abbas Rahimi, Luca Benini, Jan M. Rabaey	13
5	Adaptive EMG-based hand gesture recognition using hyperdimensional computing. 2019 ·arXiv (Cornell University) ·Ali Moin, Andy Zhou, Simone Benatti, Abbas Rahimi, George Alexandrov, Alisha Menon, Senam Tamakloe, Jonathan Ting, Natasha A. D. Yamamoto, Yasser Khan, Fred Burghardt, Ana Claudia Arias, Luca Benini, Jan M. Rabaey	3
6	A wearable electromyography-based hand gesture recognition system with real-time on-board incremental learning and classification 2019 ·arXiv (Cornell University) ·Ali Moin, Andy Zhou, Simone Benatti, Alisha Menon, Abbas Rahimi, George Alexandrov, Senam Tamakloe, Jonathan Ting, Natasha A. D. Yamamoto, Yasser Khan, Fred Burghardt, Ana Claudia Arias, Luca Benini, Jan M. Rabaey	1
7	An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier 2018 ·IRIS UNIMORE (University of Modena and Reggio Emilia) ·Ali Moin, Andy Zhou, Abbas Rahimi, Simone Benatti, Alisha Menon, Senam Tamakloe, Jonathan Ting, Natasha A. D. Yamamoto, Yasser Khan, Fred Burghardt, Luca Benini, Ana Claudia Arias, Jan M. Rabaey	75
8	A wireless and artefact-free 128-channel neuromodulation device for closed-loop stimulation and recording in non-human primates 2018 ·Nature Biomedical Engineering ·Andy Zhou, Samantha R. Santacruz, Benjamin C. Johnson, George Alexandrov, Ali Moin, Fred Burghardt, Jan M. Rabaey, Jose M. Carmena, Rikky Muller	163
9	A Comparative Study of On-Body Radio-Frequency Links in the 420 MHz–2.4 GHz Range 2018 ·Sensors ·Arno Thielens, (unknown), Stijn Wielandt, Matthew G. Anderson, Ali Moin, Andreia Cathelin, Jan M. Rabaey	21
10	An implantable 700μW 64-channel neuromodulation IC for simultaneous recording and stimulation with rapid artifact recovery 2017 ·Benjamin C. Johnson, Simone Gambini, Igor Izyumin, Ali Moin, Andy Zhou, George Alexandrov, Samantha R. Santacruz, Jan M. Rabaey, Jose M. Carmena, Rikky Muller	80
11	Optimized Design of a Human Intranet Network 2017 ·Ali Moin, Pierluigi Nuzzo, Alberto Sangiovanni‐Vincentelli, Jan M. Rabaey	12
12	Powering and communication for OMNI: A distributed and modular closed-loop neuromodulation device 2016 ·PubMed ·Ali Moin, George Alexandrov, Benjamin C. Johnson, Igor Izyumin, Fred Burghardt, Kedar G. Shah, (unknown), Elad Alon, Rikky Muller, Jan M. Rabaey	8
13	Skin picking and sleep disturbances: Relationship to anxiety and need for research 2003 ·Depression and Anxiety ·Ravi Singareddy, Ali Moin, (unknown), (unknown), Thomas W. Uhde	14

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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