Xumin Huang
Impact in
- Information Systems top 0.2%
- Blockchain Technology Applications and Security
- Computer Networks and Communications top 0.5%
- IoT and Edge/Fog Computing
- Caching and Content Delivery
Papers in
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- IoT and Edge/Fog Computing 21
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- Mobile Crowdsensing and Crowdsourcing 7
- Co-authors
- Rong YuJiawen KangYan ZhangSabita MaharjanShengli XieEkram HossainMaoqiang WuStein Gjessing
In The Last Decade
Xumin Huang
80 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Information Systems 1.9k
- Computer Networks and Communications 1.9k
- Automotive Engineering 424
- Artificial Intelligence 1.1k
- Electrical and Electronic Engineering 1.9k
Countries citing papers authored by Xumin Huang
This map shows the geographic impact of Xumin Huang'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 Xumin Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xumin Huang more than expected).
Fields of papers citing papers by Xumin Huang
This network shows the impact of papers produced by Xumin Huang. 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 Xumin Huang. The network helps show where Xumin Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xumin Huang, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 0 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 6 | |
| 13 | 2020 | 14 | |
| 14 | Hybrid Sensor Network with Edge Computing for AI Applications of Connected Vehicles | 2020 | 6 |
| 15 | 2019 | 41 | |
| 16 | 2017 | 37 | |
| 17 | 2016 | 36 | |
| 18 | 2015 | 92 | |
| 19 | 2015 | 131 | |
| 20 | 1988 | 2 |
About Xumin Huang
Xumin Huang is a scholar working on Computer Networks and Communications, Computer Science Applications, Automotive Engineering, Artificial Intelligence and Information Systems, having authored 88 papers that have together received 3.8k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (28 papers), IoT and Edge/Fog Computing (21 papers), Blockchain Technology Applications and Security (18 papers), Vehicular Ad Hoc Networks (VANETs) (17 papers), Transportation and Mobility Innovations (8 papers), Energy Harvesting in Wireless Networks (7 papers), Electric Vehicles and Infrastructure (7 papers) and Mobile Crowdsensing and Crowdsourcing (7 papers). The work is most often cited by research in Information Systems (1.9k citations), Computer Networks and Communications (1.9k citations), Automotive Engineering (424 citations), Artificial Intelligence (1.1k citations) and Electrical and Electronic Engineering (1.9k citations). Xumin Huang has collaborated with scholars based in China, Macao and Norway. Frequent co-authors include Rong Yu, Jiawen Kang, Yan Zhang, Sabita Maharjan, Shengli Xie, Ekram Hossain, Maoqiang Wu, Stein Gjessing, Yuan Wu and Dongdong Ye. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems, IEEE Access and IEEE Wireless Communications.
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.