Meiyi Ma
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Media Technology top 10%
- Co-authors
- John A. StankovicSarah Masud PreumLu FengWilliam TärnebergMohsin Y AhmedHongning WangDavid J. StoneEzio Bartocci
- Topics
- Context-Aware Activity Recognition Systems (7 papers)Smart Cities and Technologies (6 papers)Mobile Crowdsensing and Crowdsourcing (5 papers)
- Partner nations
- United StatesSwedenChina
In The Last Decade
Meiyi Ma
37 papers receiving 322 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 111
- Computer Networks and Communications 95
- Computer Vision and Pattern Recognition 60
- Information Systems 45
- Media Technology 38
Countries citing papers authored by Meiyi Ma
This map shows the geographic impact of Meiyi Ma'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 Meiyi Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiyi Ma more than expected).
Fields of papers citing papers by Meiyi Ma
This network shows the impact of papers produced by Meiyi Ma. 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 Meiyi Ma. The network helps show where Meiyi Ma may publish in the future.
Co-authorship network of co-authors of Meiyi Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Meiyi Ma. A scholar is included among the top collaborators of Meiyi Ma 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 Meiyi Ma. Meiyi Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 24 | |
| 11 | STLnet: Signal Temporal Logic Enforced Multivariate Recurrent Neural Networks | 11 |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 8 | |
| 15 | 19 | |
| 16 | 1 | |
| 17 | Detection of Runtime Conflicts among Services in Smart Cities | 17 |
| 18 | Social Group Search Optimizer algorithm for ad hoc network | 1 |
| 19 | Path Planning for Mobile Robots Based on Social Group Search Algorithm | 5 |
| 20 | 1 |
About Meiyi Ma
Meiyi Ma is a scholar working on Computer Science Applications, Media Technology and Artificial Intelligence, having authored 37 papers that have together received 330 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (7 papers), Smart Cities and Technologies (6 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). The work is most often cited by research in Computer Science Applications (31 citations), Health Informatics (7 citations) and Media Technology (38 citations). Meiyi Ma has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include John A. Stankovic, Sarah Masud Preum, Lu Feng, William Tärneberg, Mohsin Y Ahmed, Hongning Wang, David J. Stone, Ezio Bartocci, Abdeltawab Hendawi and Eli Lifland. Their work appears in journals such as ACM Computing Surveys, Computer and Journal of Advanced Nursing.
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.