Yueyun Chen
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Topics
- Advanced MIMO Systems Optimization (39 papers)Cognitive Radio Networks and Spectrum Sensing (23 papers)Millimeter-Wave Propagation and Modeling (17 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringAerospace Engineering
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yueyun Chen
106 papers receiving 776 citations
Peers
Comparison fields: 5 of 82
- Electrical and Electronic Engineering 498
- Computer Networks and Communications 397
- Aerospace Engineering 185
- Artificial Intelligence 98
- Information Systems 55
Countries citing papers authored by Yueyun Chen
This map shows the geographic impact of Yueyun 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 Yueyun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yueyun Chen more than expected).
Fields of papers citing papers by Yueyun Chen
This network shows the impact of papers produced by Yueyun 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 Yueyun Chen. The network helps show where Yueyun Chen may publish in the future.
Co-authorship network of co-authors of Yueyun Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Yueyun Chen. A scholar is included among the top collaborators of Yueyun Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yueyun Chen. Yueyun Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 42 | |
| 13 | 5 | |
| 14 | Personalized Course Content by 2-Tuple Fuzzy Linguistic Model | 0 |
| 15 | 3 | |
| 16 | Joint Subcarriers and Power Allocation with Imperfect Spectrum Sensing for Cognitive D2D Wireless Multicast | 8 |
| 17 | 5 | |
| 18 | 2 | |
| 19 | Network Resource Distribution Scheme Based on Traffic Engineering and Policy Mechanism | 1 |
| 20 | A Survey on Fault Location Methods for Hybrid Transmission Lines Consisting of Power Cables and Overhead Lines | 10 |
About Yueyun Chen
Yueyun Chen is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering, having authored 118 papers that have together received 818 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (39 papers), Cognitive Radio Networks and Spectrum Sensing (23 papers) and Millimeter-Wave Propagation and Modeling (17 papers). The work is most often cited by research in Computer Networks and Communications (397 citations), Electrical and Electronic Engineering (498 citations) and Aerospace Engineering (185 citations). Yueyun Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Liping Du, Ramsha Ahmed, Bilal Hassan, Xianwei Zhou, Zahoor Ahmed, Liuqing Yang, Yingcheng Xu, Ying Li, Daochao Huang and Jorge Dias. Their work appears in journals such as ACS Nano, Journal of Cleaner Production and Expert Systems with Applications.
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.