Jingxiao Ma
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Aerospace Engineering
- Information Systems
- Topics
- Privacy-Preserving Technologies in Data (12 papers)Advanced Wireless Communication Technologies (8 papers)Mobile Crowdsensing and Crowdsourcing (5 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringAerospace Engineering
- Journals
- IEEE AccessIEEE Transactions on Vehicular TechnologyIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- ChinaJordanUnited Kingdom
In The Last Decade
Jingxiao Ma
23 papers receiving 286 citations
Peers
Comparison fields: 5 of 42
- Electrical and Electronic Engineering 209
- Computer Networks and Communications 119
- Artificial Intelligence 86
- Aerospace Engineering 68
- Information Systems 23
Countries citing papers authored by Jingxiao Ma
This map shows the geographic impact of Jingxiao 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 Jingxiao Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingxiao Ma more than expected).
Fields of papers citing papers by Jingxiao Ma
This network shows the impact of papers produced by Jingxiao 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 Jingxiao Ma. The network helps show where Jingxiao Ma may publish in the future.
Co-authorship network of co-authors of Jingxiao Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Jingxiao Ma. A scholar is included among the top collaborators of Jingxiao 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 Jingxiao Ma. Jingxiao 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 | 0 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 65 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 17 | |
| 19 | 29 | |
| 20 | 1 |
About Jingxiao Ma
Jingxiao Ma is a scholar working on Computer Science Applications, Artificial Intelligence and Computer Networks and Communications, having authored 27 papers that have together received 287 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (12 papers), Advanced Wireless Communication Technologies (8 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). The work is most often cited by research in Computer Networks and Communications (119 citations), Electrical and Electronic Engineering (209 citations) and Aerospace Engineering (68 citations). Jingxiao Ma has collaborated with scholars based in China, Jordan and United Kingdom. Frequent co-authors include Xiaoping Xue, Xin Zeng, Xuewen Wu, Zhe Xing, Mohammad S. Obaidat, Wei Liu, Rongxing Lu, Yunguo Guan, Jialin Zhu and Yanqing Zhou. Their work appears in journals such as IEEE Access, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation 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.