Min Chen
Impact in
- Computer Networks and Communications top 0.01%
- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Energy Efficient Wireless Sensor Networks
- Opportunistic and Delay-Tolerant Networks
- Cooperative Communication and Network Coding
Papers in
-
- IoT and Edge/Fog Computing 106
- Energy Efficient Wireless Sensor Networks 76
- Caching and Content Delivery 69
- Mobile Ad Hoc Networks 66
- Opportunistic and Delay-Tolerant Networks 56
- Cooperative Communication and Network Coding 48
-
- Advanced MIMO Systems Optimization 43
- Co-authors
- Yixue Hao (65 shared papers)Victor C. M. Leung (91 shared papers)Shiwen Mao (30 shared papers)Yunhao Liu (1 shared paper)Yong Li (24 shared papers)Di Wu (48 shared papers)Xiaofei Wang (21 shared papers)Yin Zhang⋆ (40 shared papers)
- Journals
- IEEE Access (21 papers)Mobile Networks and Applications (18 papers)IEEE Network (18 papers)IEEE Wireless Communications (14 papers)IEEE Internet of Things Journal (13 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Min Chen
1.0k papers receiving 35.3k citations
Min Chen's Hit Papers
Peers
Comparison fields: 5 of 233
- Computer Networks and Communications 15.4k
- Computer Vision and Pattern Recognition 5.7k
- Health Information Management 1.1k
- Information Systems 5.1k
- Health Informatics 245
Countries citing papers authored by Min Chen
This map shows the geographic impact of Min Chen'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 Min Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Chen more than expected).
Fields of papers citing papers by Min Chen
This network shows the impact of papers produced by Min Chen. 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 Min Chen. The network helps show where Min Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Chen, 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 1.1k papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Big Data: A Survey Hit paper breakdown → | 2014 | 2177 |
| 2 | Impact on mental health and perceptions of psychological care among medical and nursing staff in Wuhan during the 2019 novel coronavirus disease outbreak: A cross-sectional study Hit paper breakdown → | 2020 | 1108 |
| 3 | Body Area Networks: A Survey Hit paper breakdown → | 2010 | 1079 |
| 4 | Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network Hit paper breakdown → | 2018 | 896 |
| 5 | Cache in the air: exploiting content caching and delivery techniques for 5G systems Hit paper breakdown → | 2014 | 881 |
| 6 | Disease Prediction by Machine Learning Over Big Data From Healthcare Communities Hit paper breakdown → | 2017 | 843 |
| 7 | Brain Intelligence: Go beyond Artificial Intelligence Hit paper breakdown → | 2017 | 839 |
| 8 | In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning Hit paper breakdown → | 2019 | 823 |
| 9 | Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures Hit paper breakdown → | 2016 | 769 |
| 10 | A Survey on Internet of Things From Industrial Market Perspective Hit paper breakdown → | 2014 | 501 |
| 11 | Narrow Band Internet of Things Hit paper breakdown → | 2017 | 389 |
| 12 | Software-Defined Network Function Virtualization: A Survey Hit paper breakdown → | 2015 | 380 |
| 13 | Smart Clothing: Connecting Human with Clouds and Big Data for Sustainable Health Monitoring Hit paper breakdown → | 2016 | 347 |
| 14 | Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network Hit paper breakdown → | 2017 | 335 |
| 15 | 2011 | 288 | |
| 16 | 2017 | 263 | |
| 17 | 2012 | 247 | |
| 18 | 2018 | 245 | |
| 19 | 1994 | 238 | |
| 20 | 2018 | 236 |
About Min Chen
Min Chen is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 1.1k papers that have together received 36.7k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (106 papers), Energy Efficient Wireless Sensor Networks (76 papers), Caching and Content Delivery (69 papers), Mobile Ad Hoc Networks (66 papers), Opportunistic and Delay-Tolerant Networks (56 papers), Cooperative Communication and Network Coding (48 papers), Advanced MIMO Systems Optimization (43 papers) and Computer Graphics and Visualization Techniques (39 papers). The work is most often cited by research in Computer Networks and Communications (15.4k citations), Computer Vision and Pattern Recognition (5.7k citations), Health Information Management (1.1k citations), Information Systems (5.1k citations) and Health Informatics (245 citations). Min Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yixue Hao, Victor C. M. Leung, Shiwen Mao, Yunhao Liu, Yong Li, Di Wu, Xiaofei Wang, Yin Zhang⋆, S. Gonzalez and Kai Hwang. Their work appears in journals such as IEEE Access, Mobile Networks and Applications, IEEE Network, IEEE Wireless Communications and IEEE Internet of Things Journal.
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.