Junhao Feng
Impact in
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- IoT and Edge/Fog Computing
- Age of Information Optimization
Papers in
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- IoT and Edge/Fog Computing 5
- Cooperative Communication and Network Coding 3
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- Advanced MIMO Systems Optimization 4
- Vehicular Ad Hoc Networks (VANETs) 3
- Advanced Wireless Communication Technologies 2
- Co-authors
- Zhenyu Zhou (11 shared papers)Shahid Mumtaz (5 shared papers)Jonathan Rodrı́guez (4 shared papers)Zheng Chang (2 shared papers)Pengju Liu (1 shared paper)Yan Zhang (1 shared paper)Xuemin Shen (1 shared paper)Mohsen Guizani (3 shared papers)
- Journals
- IEEE Transactions on Vehicular Technology (2 papers)IEEE Communications Magazine (2 papers)IEEE Transactions on Communications (1 paper)Computer Networks (1 paper)Applied Sciences (1 paper)
- Partner nations
- ChinaPortugalUnited Kingdom
In The Last Decade
Junhao Feng
12 papers receiving 952 citations
Junhao Feng's Hit Papers
Peers
Comparison fields: 5 of 52
- Computer Networks and Communications 629
- Computer Science Applications 80
- Aerospace Engineering 270
- Information Systems 191
- Electrical and Electronic Engineering 477
Countries citing papers authored by Junhao Feng
This map shows the geographic impact of Junhao Feng'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 Junhao Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhao Feng more than expected).
Fields of papers citing papers by Junhao Feng
This network shows the impact of papers produced by Junhao Feng. 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 Junhao Feng. The network helps show where Junhao Feng may publish in the future.
Co-authors
The 25 scholars most cited alongside Junhao Feng, 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 | Computation Resource Allocation and Task Assignment Optimization in Vehicular Fog Computing: A Contract-Matching Approach Hit paper breakdown → | 2019 | 286 |
| 2 | When Mobile Crowd Sensing Meets UAV: Energy-Efficient Task Assignment and Route Planning Hit paper breakdown → | 2018 | 252 |
| 3 | 2019 | 160 | |
| 4 | 2018 | 81 | |
| 5 | 2018 | 79 | |
| 6 | 2017 | 28 | |
| 7 | 2017 | 28 | |
| 8 | 2017 | 15 | |
| 9 | 2017 | 12 | |
| 10 | 2018 | 7 | |
| 11 | 2018 | 5 | |
| 12 | 2021 | 2 |
About Junhao Feng
Junhao Feng is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering, Computer Science Applications and Information Systems, having authored 12 papers that have together received 955 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Advanced MIMO Systems Optimization (4 papers), Cooperative Communication and Network Coding (3 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), UAV Applications and Optimization (3 papers), Blockchain Technology Applications and Security (2 papers) and Advanced Wireless Communication Technologies (2 papers). The work is most often cited by research in Computer Networks and Communications (629 citations), Computer Science Applications (80 citations), Aerospace Engineering (270 citations), Information Systems (191 citations) and Electrical and Electronic Engineering (477 citations). Junhao Feng has collaborated with scholars based in China, Portugal and United Kingdom. Frequent co-authors include Zhenyu Zhou, Shahid Mumtaz, Jonathan Rodrı́guez, Zheng Chang, Pengju Liu, Yan Zhang, Xuemin Shen, Mohsen Guizani, Bo Gu and Bo Ai. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Communications Magazine, IEEE Transactions on Communications, Computer Networks and Applied Sciences.
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.