Kun Hua
Impact in
-
- IoT and Edge/Fog Computing
- Cooperative Communication and Network Coding
- Energy Efficient Wireless Sensor Networks
- Media Technology top 10%
Papers in
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- Cooperative Communication and Network Coding 12
- Mobile Ad Hoc Networks 6
- IoT and Edge/Fog Computing 5
-
- Vehicular Ad Hoc Networks (VANETs) 9
- Advanced MIMO Systems Optimization 9
- Advanced Wireless Communication Techniques 8
- Co-authors
- Yang YangWei YuHonggang WangChao LuWeixian LiaoHansong XuTong ShenWei Wang
- Journals
- IEEE Access (3 papers)IEEE Internet of Things Journal (3 papers)Electronics Letters (2 papers)International Journal of Advancements in Computing Technology (2 papers)Digital Communications and Networks (2 papers)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Kun Hua
49 papers receiving 430 citations
Peers
Comparison fields: 5 of 71
- Computer Networks and Communications 193
- Media Technology 35
- Artificial Intelligence 127
- Information Systems 75
- Building and Construction 38
Countries citing papers authored by Kun Hua
This map shows the geographic impact of Kun Hua'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 Kun Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Hua more than expected).
Fields of papers citing papers by Kun Hua
This network shows the impact of papers produced by Kun Hua. 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 Kun Hua. The network helps show where Kun Hua may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kun Hua, 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 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 6 | |
| 5 | 2021 | 19 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 83 | |
| 8 | 2020 | 0 | |
| 9 | 2019 | 34 | |
| 10 | 2017 | 3 | |
| 11 | 2017 | 8 | |
| 12 | 2015 | 3 | |
| 13 | 2015 | 4 | |
| 14 | 2014 | 31 | |
| 15 | 2012 | 3 | |
| 16 | 2012 | 0 | |
| 17 | 2012 | 2 | |
| 18 | 2011 | 4 | |
| 19 | 2011 | 1 | |
| 20 | Self Encoded Spread Spectrum Synchronization and Cooperative Diversity | 2011 | 0 |
About Kun Hua
Kun Hua is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Transportation, Signal Processing and Information Systems, having authored 59 papers that have together received 455 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (12 papers), Vehicular Ad Hoc Networks (VANETs) (9 papers), Advanced MIMO Systems Optimization (9 papers), Advanced Wireless Communication Techniques (8 papers), Wireless Body Area Networks (7 papers), ECG Monitoring and Analysis (6 papers), Mobile Ad Hoc Networks (6 papers) and IoT and Edge/Fog Computing (5 papers). The work is most often cited by research in Computer Networks and Communications (193 citations), Media Technology (35 citations), Artificial Intelligence (127 citations), Information Systems (75 citations) and Building and Construction (38 citations). Kun Hua has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Yang Yang, Wei Yu, Honggang Wang, Chao Lu, Weixian Liao, Hansong Xu, Tong Shen, Wei Wang, Tigang Jiang and Lim Nguyen. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, Electronics Letters, International Journal of Advancements in Computing Technology and Digital Communications and Networks.
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.