Shaochen Shi
- Electrical and Electronic Engineering top 10%
- Automotive Engineering top 5%
- Materials Chemistry
- Electronic, Optical and Magnetic Materials
- Mechanical Engineering
- Topics
- Advancements in Battery Materials (6 papers)Advanced Battery Materials and Technologies (6 papers)Advanced battery technologies research (2 papers)
- Cited by
- Automotive EngineeringElectrical and Electronic EngineeringElectronic, Optical and Magnetic Materials
- Partner nations
- ChinaUnited States
In The Last Decade
Shaochen Shi
7 papers receiving 536 citations
Hit Papers
Peers
Comparison fields: 5 of 26
- Electrical and Electronic Engineering 494
- Automotive Engineering 237
- Materials Chemistry 96
- Electronic, Optical and Magnetic Materials 49
- Mechanical Engineering 36
Countries citing papers authored by Shaochen Shi
This map shows the geographic impact of Shaochen Shi'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 Shaochen Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaochen Shi more than expected).
Fields of papers citing papers by Shaochen Shi
This network shows the impact of papers produced by Shaochen Shi. 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 Shaochen Shi. The network helps show where Shaochen Shi may publish in the future.
Co-authorship network of co-authors of Shaochen Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Shaochen Shi. A scholar is included among the top collaborators of Shaochen Shi 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 Shaochen Shi. Shaochen Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A predictive machine learning force-field framework for liquid electrolyte developmentbreakdown → | 29 |
| 2 | 18 | |
| 3 | Realizing long-cycling all-solid-state Li-In||TiS2 batteries using Li6+xMxAs1-xS5I (M=Si, Sn) sulfide solid electrolytesbreakdown → | 118 |
| 4 | Hard-carbon-stabilized Li–Si anodes for high-performance all-solid-state Li-ion batteriesbreakdown → | 252 |
| 5 | 51 | |
| 6 | 6 | |
| 7 | 65 |
About Shaochen Shi
Shaochen Shi is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Inorganic Chemistry, having authored 7 papers that have together received 539 indexed citations. Recurring topics across this work include Advancements in Battery Materials (6 papers), Advanced Battery Materials and Technologies (6 papers) and Advanced battery technologies research (2 papers). The work is most often cited by research in Automotive Engineering (237 citations), Electrical and Electronic Engineering (494 citations) and Electronic, Optical and Magnetic Materials (49 citations). Shaochen Shi has collaborated with scholars based in China and United States. Frequent co-authors include Liquan Chen, Fan Wu, Hong Li, Wenlin Yan, Pushun Lu, Yu Xia, Dengxu Wu, Jiaze Lu, Zhenliang Mu and Yujing Wu. Their work appears in journals such as Advanced Materials, Nature Communications and The Journal of Chemical Physics.
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.