Sicheng Song
- Electrical and Electronic Engineering
- Molecular Biology
- Electronic, Optical and Magnetic Materials
- Automotive Engineering top 10%
- Organic Chemistry
- Topics
- Genetic Neurodegenerative Diseases (3 papers)Data Visualization and Analytics (3 papers)Microtubule and mitosis dynamics (2 papers)
- Cited by
- Automotive EngineeringElectronic, Optical and Magnetic MaterialsElectrical and Electronic Engineering
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Sicheng Song
23 papers receiving 424 citations
Peers
Comparison fields: 5 of 96
- Electrical and Electronic Engineering 184
- Molecular Biology 102
- Electronic, Optical and Magnetic Materials 71
- Automotive Engineering 62
- Organic Chemistry 43
Countries citing papers authored by Sicheng Song
This map shows the geographic impact of Sicheng 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 Sicheng Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sicheng Song more than expected).
Fields of papers citing papers by Sicheng Song
This network shows the impact of papers produced by Sicheng 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 Sicheng Song. The network helps show where Sicheng Song may publish in the future.
Co-authorship network of co-authors of Sicheng Song
This figure shows the co-authorship network connecting the top 25 collaborators of Sicheng Song. A scholar is included among the top collaborators of Sicheng 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 Sicheng Song. Sicheng 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 | 0 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 42 | |
| 12 | 1 | |
| 13 | 150 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | 10 | |
| 17 | 5 | |
| 18 | 33 | |
| 19 | 31 | |
| 20 | 75 |
About Sicheng Song
Sicheng Song is a scholar working on Computer Vision and Pattern Recognition, Behavioral Neuroscience and Developmental Neuroscience, having authored 25 papers that have together received 430 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (3 papers), Data Visualization and Analytics (3 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Automotive Engineering (62 citations), Electronic, Optical and Magnetic Materials (71 citations) and Electrical and Electronic Engineering (184 citations). Sicheng Song has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Liang Ouyang, Tao Xie, Jian Huang, Rui Qi, Zhibo Li, Changjian Zuo, Kai Yang, Jiajie Liu, Feng Pan and Lin Xia. Their work appears in journals such as Advanced Energy Materials, Scientific Reports and Journal of Materials Chemistry A.
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.