Minghui Min
Impact in
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- IoT and Edge/Fog Computing
- Age of Information Optimization
Papers in
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- Mobile Crowdsensing and Crowdsourcing 5
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- Privacy-Preserving Technologies in Data 16
- Co-authors
- Liang XiaoWeihua ZhuangYe ChenDi WuPeng ChengCaixia XieHuaiyu DaiLianfen Huang
- Journals
- IEEE Internet of Things Journal (5 papers)IEEE Transactions on Vehicular Technology (5 papers)Journal of Communications and Information Networks (1 paper)Electronics (1 paper)IEEE Transactions on Wireless Communications (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Minghui Min
32 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Computer Networks and Communications 743
- Computer Science Applications 74
- Aerospace Engineering 237
- Information Systems 202
- Electrical and Electronic Engineering 509
Countries citing papers authored by Minghui Min
This map shows the geographic impact of Minghui Min'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 Minghui Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghui Min more than expected).
Fields of papers citing papers by Minghui Min
This network shows the impact of papers produced by Minghui Min. 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 Minghui Min. The network helps show where Minghui Min may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Minghui Min, 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 | 2024 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 16 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 23 | |
| 14 | 2021 | 65 | |
| 15 | 2020 | 5 | |
| 16 | Learning-Based Computation Offloading for IoT Devices With Energy Harvesting Hit paper breakdown → | 2019 | 434 |
| 17 | 2018 | 154 | |
| 18 | 2018 | 48 | |
| 19 | 2018 | 13 | |
| 20 | 2017 | 134 |
About Minghui Min
Minghui Min is a scholar working on Computer Science Applications, Artificial Intelligence, Aerospace Engineering, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (16 papers), UAV Applications and Optimization (8 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers), Privacy, Security, and Data Protection (5 papers), Advanced Wireless Communication Technologies (5 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), IoT and Edge/Fog Computing (5 papers) and Energy Harvesting in Wireless Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (743 citations), Computer Science Applications (74 citations), Aerospace Engineering (237 citations), Information Systems (202 citations) and Electrical and Electronic Engineering (509 citations). Minghui Min has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Liang Xiao, Weihua Zhuang, Ye Chen, Di Wu, Peng Cheng, Caixia Xie, Huaiyu Dai, Lianfen Huang, Zhipeng Cheng and Minghua Xia. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, Journal of Communications and Information Networks, Electronics and IEEE Transactions on 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.