Ruizhe Yang
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Topics
- IoT and Edge/Fog Computing (18 papers)Blockchain Technology Applications and Security (18 papers)Advanced MIMO Systems Optimization (18 papers)
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Ruizhe Yang
70 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Computer Networks and Communications 873
- Information Systems 698
- Electrical and Electronic Engineering 438
- Artificial Intelligence 284
- Computer Vision and Pattern Recognition 102
Countries citing papers authored by Ruizhe Yang
This map shows the geographic impact of Ruizhe Yang'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 Ruizhe Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruizhe Yang more than expected).
Fields of papers citing papers by Ruizhe Yang
This network shows the impact of papers produced by Ruizhe Yang. 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 Ruizhe Yang. The network helps show where Ruizhe Yang may publish in the future.
Co-authorship network of co-authors of Ruizhe Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Ruizhe Yang. A scholar is included among the top collaborators of Ruizhe Yang 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 Ruizhe Yang. Ruizhe Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 31 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 26 | |
| 13 | 1 | |
| 14 | 25 | |
| 15 | 10 | |
| 16 | 39 | |
| 17 | 3 | |
| 18 | Dynamic Spectrum Management with Movement Prediction in Vehicular Ad Hoc Networks. | 5 |
| 19 | Performance analysis and optimization of cooperative spectrum sensing for maximizing secondary throughput | 3 |
| 20 | A New Method of Choosing Irregular Modulation Mapping in BICM-ID System | 1 |
About Ruizhe Yang
Ruizhe Yang is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (18 papers), Blockchain Technology Applications and Security (18 papers) and Advanced MIMO Systems Optimization (18 papers). The work is most often cited by research in Computer Networks and Communications (873 citations), Information Systems (698 citations) and Artificial Intelligence (284 citations). Ruizhe Yang has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include F. Richard Yu, Pengbo Si, Yanhua Zhang, Dajun Zhang, Meng Li, Yanhua Zhang, Yanhua Zhang, Enchang Sun, Zhuwei Wang and Huijun Gao. Their work appears in journals such as Biomaterials, Advanced Functional Materials and The Science of The Total Environment.
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.