Xin Song
- Mechanical Engineering top 10%
- Health, Toxicology and Mutagenesis top 10%
- Electrical and Electronic Engineering
- Ocean Engineering top 5%
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Tianbao SongYuan-Jie LiJinsong ZhouYanyan CaiXiao ZhangGuangdou YeMei JiangJianbin Xu
- Topics
- Coal Properties and Utilization (13 papers)Geomechanics and Mining Engineering (8 papers)Wind and Air Flow Studies (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Power Sources
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xin Song
79 papers receiving 727 citations
Peers
Comparison fields: 5 of 136
- Mechanical Engineering 183
- Health, Toxicology and Mutagenesis 114
- Electrical and Electronic Engineering 105
- Ocean Engineering 104
- Renewable Energy, Sustainability and the Environment 74
Countries citing papers authored by Xin Song
This map shows the geographic impact of Xin 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 Xin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Song more than expected).
Fields of papers citing papers by Xin Song
This network shows the impact of papers produced by Xin 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 Xin Song. The network helps show where Xin Song may publish in the future.
Co-authorship network of co-authors of Xin Song
This figure shows the co-authorship network connecting the top 25 collaborators of Xin Song. A scholar is included among the top collaborators of Xin 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 Xin Song. Xin 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 16 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 11 | |
| 14 | 7 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 21 | |
| 18 | 4 | |
| 19 | Study on the water extraction process of polysaccharides from argopectens irradias | 1 |
| 20 | System safety forecast models and forecast system | 1 |
About Xin Song
Xin Song is a scholar working on Safety, Risk, Reliability and Quality, Ocean Engineering and Industrial and Manufacturing Engineering, having authored 89 papers that have together received 744 indexed citations. Recurring topics across this work include Coal Properties and Utilization (13 papers), Geomechanics and Mining Engineering (8 papers) and Wind and Air Flow Studies (7 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (114 citations), Ocean Engineering (104 citations) and Automotive Engineering (64 citations). Xin Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tianbao Song, Yuan-Jie Li, Jinsong Zhou, Yanyan Cai, Xiao Zhang, Guangdou Ye, Mei Jiang, Jianbin Xu, Wenyu Yang and Wenhao Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Power Sources.
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.