Geyong Min
Impact in
- Computer Networks and Communications top 0.05%
- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Software-Defined Networks and 5G
- Age of Information Optimization
- Information Systems top 0.05%
- Blockchain Technology Applications and Security
- Cloud Computing and Resource Management
Papers in
-
- IoT and Edge/Fog Computing 114
- Caching and Content Delivery 77
- Software-Defined Networks and 5G 72
- Network Traffic and Congestion Control 69
- Mobile Ad Hoc Networks 66
- Opportunistic and Delay-Tolerant Networks 55
-
- Advanced Wireless Network Optimization 75
- Co-authors
- Jia Hu (74 shared papers)Zhiwei Zhao (64 shared papers)Yulei Wu (48 shared papers)Albert Y. Zomaya (24 shared papers)Jed Mills (8 shared papers)Wang Miao (36 shared papers)Ahmed Al‐Dubai (31 shared papers)Jin Wang (10 shared papers)
- Journals
- IEEE Transactions on Mobile Computing (40 papers)IEEE Internet of Things Journal (38 papers)IEEE Transactions on Parallel and Distributed Systems (29 papers)Future Generation Computer Systems (19 papers)IEEE Transactions on Industrial Informatics (17 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Geyong Min
644 papers receiving 16.0k citations
Geyong Min's Hit Papers
Peers
Comparison fields: 5 of 160
- Computer Networks and Communications 9.8k
- Information Systems 4.3k
- Artificial Intelligence 4.3k
- Computational Mathematics 71
- Electrical and Electronic Engineering 4.9k
Countries citing papers authored by Geyong Min
This map shows the geographic impact of Geyong 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 Geyong Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geyong Min more than expected).
Fields of papers citing papers by Geyong Min
This network shows the impact of papers produced by Geyong 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 Geyong Min. The network helps show where Geyong Min may publish in the future.
Co-authors
The 25 scholars most cited alongside Geyong 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
Showing the 20 most-cited of 694 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identity-Based Remote Data Integrity Checking With Perfect Data Privacy Preserving for Cloud Storage Hit paper breakdown → | 2016 | 378 |
| 2 | Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT Hit paper breakdown → | 2019 | 345 |
| 3 | Advanced internet of things for personalised healthcare systems: A survey Hit paper breakdown → | 2017 | 318 |
| 4 | Fast Adaptive Task Offloading in Edge Computing Based on Meta Reinforcement Learning Hit paper breakdown → | 2020 | 309 |
| 5 | Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning Hit paper breakdown → | 2020 | 262 |
| 6 | Deep-Reinforcement-Learning-Based Offloading Scheduling for Vehicular Edge Computing Hit paper breakdown → | 2020 | 253 |
| 7 | Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing Hit paper breakdown → | 2021 | 209 |
| 8 | 2019 | 203 | |
| 9 | 2017 | 195 | |
| 10 | 2018 | 185 | |
| 11 | 2021 | 178 | |
| 12 | 2017 | 171 | |
| 13 | 2019 | 171 | |
| 14 | 2017 | 170 | |
| 15 | 2020 | 156 | |
| 16 | 2014 | 154 | |
| 17 | 2016 | 153 | |
| 18 | 2020 | 151 | |
| 19 | Dependent Task Offloading for Edge Computing based on Deep Reinforcement Learning Hit paper breakdown → | 2021 | 147 |
| 20 | 2022 | 144 |
About Geyong Min
Geyong Min is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 694 papers that have together received 16.4k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (114 papers), Caching and Content Delivery (77 papers), Advanced Wireless Network Optimization (75 papers), Software-Defined Networks and 5G (72 papers), Network Traffic and Congestion Control (69 papers), Mobile Ad Hoc Networks (66 papers), Privacy-Preserving Technologies in Data (63 papers) and Opportunistic and Delay-Tolerant Networks (55 papers). The work is most often cited by research in Computer Networks and Communications (9.8k citations), Information Systems (4.3k citations), Artificial Intelligence (4.3k citations), Computational Mathematics (71 citations) and Electrical and Electronic Engineering (4.9k citations). Geyong Min has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Jia Hu, Zhiwei Zhao, Yulei Wu, Albert Y. Zomaya, Jed Mills, Wang Miao, Ahmed Al‐Dubai, Jin Wang, Liang Zhao and Laurence T. Yang. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Transactions on Parallel and Distributed Systems, Future Generation Computer Systems and IEEE Transactions on Industrial Informatics.
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.