Ha Manh
Impact in
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- Context-Aware Activity Recognition Systems
- Video Surveillance and Tracking Methods
- Human-Computer Interaction top 10%
Papers in
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- Digital Mental Health Interventions 3
- Journals
- IEEE Transactions on Automation Science and Engineering (2 papers)IEEE Robotics and Automation Letters (2 papers)Robotics and Autonomous Systems (1 paper)International Journal of Social Robotics (1 paper)IET Intelligent Transport Systems (1 paper)
- Partner nations
- United StatesChinaVietnam
In The Last Decade
Ha Manh
18 papers receiving 458 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 194
- Human-Computer Interaction 45
- Social Psychology 124
- Automotive Engineering 65
- Health Informatics 7
Countries citing papers authored by Ha Manh
This map shows the geographic impact of Ha Manh'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 Ha Manh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ha Manh more than expected).
Fields of papers citing papers by Ha Manh
This network shows the impact of papers produced by Ha Manh. 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 Ha Manh. The network helps show where Ha Manh may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Ha Manh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2021 | 17 | |
| 3 | 2021 | 1 | |
| 4 | 2021 | 21 | |
| 5 | 2021 | 18 | |
| 6 | 2020 | 22 | |
| 7 | 2020 | 32 | |
| 8 | 2020 | 11 | |
| 9 | 2018 | 119 | |
| 10 | 2017 | 13 | |
| 11 | 2017 | 118 | |
| 12 | 2016 | 12 | |
| 13 | 2016 | 29 | |
| 14 | 2016 | 10 | |
| 15 | 2016 | 29 | |
| 16 | 2016 | 14 | |
| 17 | 2015 | 12 | |
| 18 | 2014 | 3 |
About Ha Manh
Ha Manh is a scholar working on Applied Psychology, Occupational Therapy, Signal Processing, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 18 papers that have together received 482 indexed citations. Recurring topics across this work include Speech and Audio Processing (5 papers), Context-Aware Activity Recognition Systems (4 papers), Social Robot Interaction and HRI (4 papers), Music and Audio Processing (3 papers), Video Surveillance and Tracking Methods (3 papers), Digital Mental Health Interventions (3 papers), Gaze Tracking and Assistive Technology (2 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (194 citations), Human-Computer Interaction (45 citations), Social Psychology (124 citations), Automotive Engineering (65 citations) and Health Informatics (7 citations). Ha Manh has collaborated with scholars based in United States, China and Vietnam. Frequent co-authors include Weihua Sheng, Minh Pham, Meiqin Liu, Duy Tran, Dan Yang, Girish Chowdhary, He Bai, Alex Bishop, Francisco Erivaldo Fernandes and Erin Harrington. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, IEEE Robotics and Automation Letters, Robotics and Autonomous Systems, International Journal of Social Robotics and IET Intelligent Transport Systems.
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.