Ali Moin

1.3k citations
13 papers · 974 · 1 hit paper · h-index 9

Impact in

Papers in

Ali Moin

13 papers receiving 954 citations

Ali Moin's Hit Papers

A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition 2020 · 530 citations
5300+2+4Years since publication100200300400500

Peers

Ali Moin
Comparison fields: 5 of 81
  • Human-Computer Interaction 162
  • Cognitive Neuroscience 327
  • Cellular and Molecular Neuroscience 268
  • Biomedical Engineering 561
  • Polymers and Plastics 87
Replace Fred Burghardt with:
Fred Burghardt United States
Andy Zhou United States
George Alexandrov United States
Milin Zhang China
Xilin Liu United States
Brock A. Wester United States
Jarmo Verho Finland
Jun Xie China
Matthew S. Johannes United States
Ali Moin relative to Fred Burghardt United States Fred Burghardt's profile →
Citations per field
00.5×1.5×2.1×
Fred Burghardt · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ali Moin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ali Moin Line = papers co-authored together Ali Moin links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition
Hit paper breakdown →
2020530
2 2018178
3 201786
4 201880
5 201822
6 202020
7 200317
8 201914
9 201712
10 20168
11
Adaptive EMG-based hand gesture recognition using hyperdimensional computing.
20193
12 20253
13
A wearable electromyography-based hand gesture recognition system with real-time on-board incremental learning and classification
20191

About Ali Moin

Ali Moin is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Computer Networks and Communications, having authored 13 papers that have together received 974 indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (5 papers), Neuroscience and Neural Engineering (4 papers), Muscle activation and electromyography studies (4 papers), EEG and Brain-Computer Interfaces (4 papers), Wireless Body Area Networks (3 papers), Neurological disorders and treatments (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Molecular Communication and Nanonetworks (2 papers). The work is most often cited by research in Human-Computer Interaction (162 citations), Cognitive Neuroscience (327 citations), Cellular and Molecular Neuroscience (268 citations), Biomedical Engineering (561 citations) and Polymers and Plastics (87 citations). Ali Moin has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Jan M. Rabaey, Andy Zhou, George Alexandrov, Fred Burghardt, Luca Benini, Simone Benatti, Abbas Rahimi, Senam Tamakloe, Ana Claudia Arias and Alisha Menon. Their work appears in journals such as Nature Biomedical Engineering, Proceedings of the IEEE, Sensors, Nature Electronics 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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