Ji Ma
Impact in
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- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
- Control and Systems Engineering top 10%
- Adaptive Control of Nonlinear Systems
- Stability and Control of Uncertain Systems
Papers in
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- Distributed Control Multi-Agent Systems 18
- Neural Networks Stability and Synchronization 13
- Advanced Authentication Protocols Security 4
- Co-authors
- Haibo Ji (6 shared papers)Gang Feng (4 shared papers)Xiao Yu (9 shared papers)Dong Sun (2 shared papers)Lu Liu (2 shared papers)Aidong Zhang (1 shared paper)Ning Ding (1 shared paper)Jiangtao Liu (6 shared papers)
In The Last Decade
Ji Ma
41 papers receiving 370 citations
Peers
Comparison fields: 5 of 53
- Computer Networks and Communications 199
- Control and Systems Engineering 112
- Water Science and Technology 28
- Inorganic Chemistry 27
- Information Systems 42
Countries citing papers authored by Ji Ma
This map shows the geographic impact of Ji 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 Ji Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Ma more than expected).
Fields of papers citing papers by Ji Ma
This network shows the impact of papers produced by Ji 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 Ji Ma. The network helps show where Ji Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 69 | |
| 2 | 2019 | 49 | |
| 3 | 2018 | 49 | |
| 4 | 2018 | 38 | |
| 5 | 2024 | 21 | |
| 6 | 2022 | 20 | |
| 7 | 2010 | 17 | |
| 8 | 2016 | 14 | |
| 9 | 2023 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2011 | 8 | |
| 12 | 2007 | 8 | |
| 13 | 2025 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2018 | 4 | |
| 16 | 2006 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2011 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2025 | 3 |
About Ji Ma
Ji Ma is a scholar working on Computer Networks and Communications, Artificial Intelligence, Sociology and Political Science, Information Systems and Public Health, Environmental and Occupational Health, having authored 44 papers that have together received 379 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (18 papers), Neural Networks Stability and Synchronization (13 papers), Access Control and Trust (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Advanced Authentication Protocols Security (4 papers), Membrane Separation and Gas Transport (4 papers), Stability and Control of Uncertain Systems (4 papers) and Membrane Separation Technologies (4 papers). The work is most often cited by research in Computer Networks and Communications (199 citations), Control and Systems Engineering (112 citations), Water Science and Technology (28 citations), Inorganic Chemistry (27 citations) and Information Systems (42 citations). Ji Ma has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Haibo Ji, Gang Feng, Xiao Yu, Dong Sun, Lu Liu, Aidong Zhang, Ning Ding, Jiangtao Liu, Shabi Ul Hassan and Mehmet A. Orgun. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, Geomechanics and Geophysics for Geo-Energy and Geo-Resources, Automatica, Journal of the Franklin Institute and International Journal of Robust and Nonlinear Control.
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.