Jinchun Song
- Automotive Engineering top 2%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering
- Mechanical Engineering
- Control and Systems Engineering top 10%
- Topics
- Hydraulic and Pneumatic Systems (13 papers)Adaptive Control of Nonlinear Systems (7 papers)Control Systems in Engineering (4 papers)
In The Last Decade
Jinchun Song
30 papers receiving 936 citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Automotive Engineering 459
- Electrical and Electronic Engineering 367
- Biomedical Engineering 176
- Mechanical Engineering 144
- Control and Systems Engineering 136
Countries citing papers authored by Jinchun Song
This map shows the geographic impact of Jinchun 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 Jinchun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinchun Song more than expected).
Fields of papers citing papers by Jinchun Song
This network shows the impact of papers produced by Jinchun 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 Jinchun Song. The network helps show where Jinchun Song may publish in the future.
Co-authorship network of co-authors of Jinchun Song
This figure shows the co-authorship network connecting the top 25 collaborators of Jinchun Song. A scholar is included among the top collaborators of Jinchun 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 Jinchun Song. Jinchun 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 | 2 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 18 | |
| 6 | 23 | |
| 7 | A comprehensive review of the key technologies for pure electric vehiclesbreakdown → | 454 |
| 8 | 29 | |
| 9 | 27 | |
| 10 | 73 | |
| 11 | Inhibitory Effect of Total Alkaloids from Lotus Seed on Human Hepatoma Cells | 1 |
| 12 | 10 | |
| 13 | 1 | |
| 14 | Research Advances in Pharmacological Effects of Nuciferine | 3 |
| 15 | 10 | |
| 16 | 23 | |
| 17 | 89 | |
| 18 | 48 | |
| 19 | Effect of Bidding of Antimicrobial Drugs on Hospital Drugs Consumption | 1 |
| 20 | 5 |
About Jinchun Song
Jinchun Song is a scholar working on Control and Systems Engineering, Applied Microbiology and Biotechnology and Mechanical Engineering, having authored 33 papers that have together received 961 indexed citations. Recurring topics across this work include Hydraulic and Pneumatic Systems (13 papers), Adaptive Control of Nonlinear Systems (7 papers) and Control Systems in Engineering (4 papers). The work is most often cited by research in Automotive Engineering (459 citations), Electrical and Electronic Engineering (367 citations) and Control and Systems Engineering (136 citations). Jinchun Song has collaborated with scholars based in China, Canada and Singapore. Frequent co-authors include Zhenhe Li, Amir Khajepour, Bin Song, Wen Feng Lu, Jia Shi, Bin Wu, Shihao Li, Wei Zhang, Liping Luo and Zuojiong Gong. Their work appears in journals such as Biochemical and Biophysical Research Communications, Energy and Journal of the Franklin Institute.
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.