Siqi Shi
Impact in
- Automotive Engineering top 0.05%
- Advanced Battery Technologies Research
-
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Advanced battery technologies research
Papers in
-
- Advanced Battery Technologies Research 37
-
- Advancements in Battery Materials 120
- Advanced Battery Materials and Technologies 110
- Advanced battery technologies research 20
- Co-authors
- Hong LiChuying OuyangYue LiuYue QiLiquan ChenAiping WangMaxim AvdeevTianlu Zhao
- Journals
- Journal of Power Sources (11 papers)Advanced Functional Materials (10 papers)Energy storage materials (9 papers)Advanced Energy Materials (8 papers)Journal of Materiomics (8 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Siqi Shi
224 papers receiving 15.8k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Automotive Engineering 4.0k
- Electrical and Electronic Engineering 12.1k
- Electronic, Optical and Magnetic Materials 2.9k
- Materials Chemistry 6.1k
- Catalysis 542
Countries citing papers authored by Siqi Shi
This map shows the geographic impact of Siqi 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 Siqi Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siqi Shi more than expected).
Fields of papers citing papers by Siqi Shi
This network shows the impact of papers produced by Siqi 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 Siqi Shi. The network helps show where Siqi Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Siqi Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 8 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 8 | |
| 8 | Generative artificial intelligence and its applications in materials science: Current situation and future perspectives Hit paper breakdown → | 2023 | 164 |
| 9 | 2023 | 12 | |
| 10 | 2023 | 26 | |
| 11 | Data quantity governance for machine learning in materials science Hit paper breakdown → | 2023 | 106 |
| 12 | 2023 | 36 | |
| 13 | 2022 | 130 | |
| 14 | 2022 | 12 | |
| 15 | 2022 | 10 | |
| 16 | 2021 | 11 | |
| 17 | 2021 | 13 | |
| 18 | 2020 | 50 | |
| 19 | 2020 | 17 | |
| 20 | 2019 | 50 |
About Siqi Shi
Siqi Shi is a scholar working on Automotive Engineering, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Materials Chemistry and Catalysis, having authored 236 papers that have together received 16.3k indexed citations. Recurring topics across this work include Advancements in Battery Materials (120 papers), Advanced Battery Materials and Technologies (110 papers), Advanced Battery Technologies Research (37 papers), Machine Learning in Materials Science (27 papers), Advanced battery technologies research (20 papers), Supercapacitor Materials and Fabrication (17 papers), Transition Metal Oxide Nanomaterials (16 papers) and ZnO doping and properties (13 papers). The work is most often cited by research in Automotive Engineering (4.0k citations), Electrical and Electronic Engineering (12.1k citations), Electronic, Optical and Magnetic Materials (2.9k citations), Materials Chemistry (6.1k citations) and Catalysis (542 citations). Siqi Shi has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Hong Li, Chuying Ouyang, Yue Liu, Yue Qi, Liquan Chen, Aiping Wang, Maxim Avdeev, Tianlu Zhao, Lei Min-Sheng and Xuejie Huang. Their work appears in journals such as Journal of Power Sources, Advanced Functional Materials, Energy storage materials, Advanced Energy Materials and Journal of Materiomics.
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.