Yuxiang Ma
- Automotive Engineering top 5%
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- Advanced Data and IoT Technologies 2
- Control and Systems Engineering top 10%
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- IoT and Edge/Fog Computing 4
- Caching and Content Delivery 3
- Opportunistic and Delay-Tolerant Networks 3
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- Internet Traffic Analysis and Secure E-voting 4
- Cryptography and Data Security 3
- Privacy-Preserving Technologies in Data 3
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- Human Mobility and Location-Based Analysis 3
- Co-authors
- Jiantao QuFeng LiuJiaming FanYulei WuJingguo GeHong‐Ning DaiHao WangLei Zhang
- Cited by
- Automotive EngineeringSafety, Risk, Reliability and QualityElectrical and Electronic Engineering
- Journals
- IEEE Access (3 papers)Information Sciences (1 paper)Pattern Analysis and Applications (1 paper)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Yuxiang Ma
18 papers receiving 457 citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Automotive Engineering 271
- Safety, Risk, Reliability and Quality 94
- Electrical and Electronic Engineering 265
- Control and Systems Engineering 104
- Computer Networks and Communications 98
Countries citing papers authored by Yuxiang Ma
This map shows the geographic impact of Yuxiang 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 Yuxiang Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuxiang Ma more than expected).
Fields of papers citing papers by Yuxiang Ma
This network shows the impact of papers produced by Yuxiang 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 Yuxiang Ma. The network helps show where Yuxiang Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuxiang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 33 | |
| 13 | 2020 | 39 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 1 | |
| 16 | 2019 | 21 | |
| 17 | A Neural-Network-Based Method for RUL Prediction and SOH Monitoring of Lithium-Ion Batterybreakdown → | 2019 | 296 |
| 18 | 2017 | 3 | |
| 19 | Business Continunity Management Security Module and Implementation | 2005 | 0 |
| 20 | 2003 | 0 |
About Yuxiang Ma
Yuxiang Ma is a scholar working on Transportation, Computer Networks and Communications and Artificial Intelligence, having authored 23 papers that have together received 484 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (4 papers), IoT and Edge/Fog Computing (4 papers), Caching and Content Delivery (3 papers), Cryptography and Data Security (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Privacy-Preserving Technologies in Data (3 papers), Human Mobility and Location-Based Analysis (3 papers) and Advanced Data and IoT Technologies (2 papers). The work is most often cited by research in Automotive Engineering (271 citations), Safety, Risk, Reliability and Quality (94 citations) and Electrical and Electronic Engineering (265 citations). Yuxiang Ma has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Jiantao Qu, Feng Liu, Jiaming Fan, Yulei Wu, Jingguo Ge, Hong‐Ning Dai, Hao Wang, Lei Zhang, Xue-Fei Chen and Daojun Han. Their work appears in journals such as IEEE Access, Information Sciences, Pattern Analysis and Applications, Journal of Network and Computer Applications and Ocean Engineering.
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.