Zhen Song
- Electrical and Electronic Engineering top 10%
- Automotive Engineering top 5%
- Computer Networks and Communications top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Huicui ChenYangQuan ChenTong ZhangYue PanXin ZhaoKevin L. MooreLiang ChenPucheng Pei
- Topics
- Building Energy and Comfort Optimization (6 papers)Modular Robots and Swarm Intelligence (6 papers)Energy Efficient Wireless Sensor Networks (6 papers)
- Cited by
- Automotive EngineeringRenewable Energy, Sustainability and the EnvironmentComputer Networks and Communications
- Journals
- Applied EnergyEnergySensors
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Zhen Song
45 papers receiving 768 citations
Peers
Comparison fields: 5 of 86
- Electrical and Electronic Engineering 416
- Automotive Engineering 225
- Computer Networks and Communications 186
- Renewable Energy, Sustainability and the Environment 158
- Control and Systems Engineering 155
Countries citing papers authored by Zhen Song
This map shows the geographic impact of Zhen Song'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 Zhen Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen Song more than expected).
Fields of papers citing papers by Zhen Song
This network shows the impact of papers produced by Zhen Song. 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 Zhen Song. The network helps show where Zhen Song may publish in the future.
Co-authorship network of co-authors of Zhen Song
This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Song. A scholar is included among the top collaborators of Zhen Song 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 Zhen Song. Zhen Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 122 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 36 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 25 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 35 | |
| 19 | 3 | |
| 20 | 3 |
About Zhen Song
Zhen Song is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Building and Construction, having authored 47 papers that have together received 814 indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (6 papers), Modular Robots and Swarm Intelligence (6 papers) and Energy Efficient Wireless Sensor Networks (6 papers). The work is most often cited by research in Automotive Engineering (225 citations), Renewable Energy, Sustainability and the Environment (158 citations) and Computer Networks and Communications (186 citations). Zhen Song has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Huicui Chen, YangQuan Chen, Tong Zhang, Yue Pan, Xin Zhao, Kevin L. Moore, Liang Chen, Tong Zhang, Pucheng Pei and Chellury R. Sastry. Their work appears in journals such as Applied Energy, Energy and Sensors.
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.