Yu Rong
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Mohsen GuizaniShengli XieWenqing YaoYang XiaoYan ZhangHaiyan WangGuoxiang WangJiyuan Zheng
- Topics
- Online Learning and Analytics (3 papers)Water resources management and optimization (3 papers)Online and Blended Learning (2 papers)
- Journals
- IEEE Communications MagazineFrontiers in PsychologyTechnological Forecasting and Social Change
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yu Rong
32 papers receiving 485 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Computer Networks and Communications 269
- Electrical and Electronic Engineering 225
- Computer Vision and Pattern Recognition 69
- Artificial Intelligence 67
- Biomedical Engineering 63
Countries citing papers authored by Yu Rong
This map shows the geographic impact of Yu Rong'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 Yu Rong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Rong more than expected).
Fields of papers citing papers by Yu Rong
This network shows the impact of papers produced by Yu Rong. 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 Yu Rong. The network helps show where Yu Rong may publish in the future.
Co-authorship network of co-authors of Yu Rong
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Rong. A scholar is included among the top collaborators of Yu Rong 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 Yu Rong. Yu Rong 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 | 2 | |
| 3 | 1 | |
| 4 | 16 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | DropEdge: Towards the Very Deep Graph Convolutional Networks for Node Classification | 5 |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | Home M2M networks: Architectures, standards, and QoS improvementbreakdown → | 349 |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | Traffic distributor for high-speed network intrusion detection system | 2 |
About Yu Rong
Yu Rong is a scholar working on Computer Science Applications, Energy Engineering and Power Technology and Transportation, having authored 33 papers that have together received 506 indexed citations. Recurring topics across this work include Online Learning and Analytics (3 papers), Water resources management and optimization (3 papers) and Online and Blended Learning (2 papers). The work is most often cited by research in Computer Networks and Communications (269 citations), Electrical and Electronic Engineering (225 citations) and Transportation (25 citations). Yu Rong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mohsen Guizani, Shengli Xie, Wenqing Yao, Yang Xiao, Yan Zhang, Haiyan Wang, Guoxiang Wang, Jiyuan Zheng, Luxin Yang and Linqing Huang. Their work appears in journals such as IEEE Communications Magazine, Frontiers in Psychology and Technological Forecasting and Social Change.
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.