F. Shi
- Computational Mechanics top 5%
- Advanced Numerical Methods in Computational Mathematics 11
- Radiation top 5%
- Nuclear Physics and Applications 12
- Radiation Detection and Scintillator Technologies 10
- Nuclear and High Energy Physics top 10%
- Nuclear physics research studies 9
- Particle Detector Development and Performance 7
- Numerical Analysis top 10%
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- Nuclear reactor physics and engineering 9
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- Nuclear Materials and Properties 7
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- Earthquake Detection and Analysis 7
- Journals
- Chinese Physics C (7 papers)Applied Radiation and Isotopes (6 papers)Physical review. C (5 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
F. Shi
76 papers receiving 674 citations
Peers
Comparison fields: 5 of 88
- Computational Mechanics 263
- Radiation 107
- Nuclear and High Energy Physics 135
- Computational Theory and Mathematics 122
- Numerical Analysis 39
Countries citing papers authored by F. Shi
This map shows the geographic impact of F. 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 F. Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Shi more than expected).
Fields of papers citing papers by F. Shi
This network shows the impact of papers produced by F. 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 F. Shi. The network helps show where F. Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside F. 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 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 20 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2019 | 2 | |
| 16 | 2015 | 24 | |
| 17 | 2012 | 10 | |
| 18 | Performance test of fine-mesh PMT in strong magnetic field | 2004 | 2 |
| 19 | Experimental research on load transfer mechanism of pretensioned high strength spun concrete piles | 2004 | 9 |
| 20 | 1986 | 1 |
About F. Shi
F. Shi is a scholar working on Radiation, General Engineering and Nuclear and High Energy Physics, having authored 89 papers that have together received 707 indexed citations. Recurring topics across this work include Nuclear Physics and Applications (12 papers), Advanced Numerical Methods in Computational Mathematics (11 papers), Radiation Detection and Scintillator Technologies (10 papers), Nuclear physics research studies (9 papers), Nuclear reactor physics and engineering (9 papers), Nuclear Materials and Properties (7 papers), Earthquake Detection and Analysis (7 papers) and Particle Detector Development and Performance (7 papers). The work is most often cited by research in Computational Mechanics (263 citations), Radiation (107 citations) and Nuclear and High Energy Physics (135 citations). F. Shi has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Haibiao Zheng, Haibiao Zheng, Jiaping Yu, Yanren Hou, Lina Song, H. Lu, Xiaoxia Yu, R. Han, Reinhold Ludwig and Weiping Lin. Their work appears in journals such as Chinese Physics C, Applied Radiation and Isotopes, Physical review. C, Fusion Engineering and Design and SIAM Journal on Scientific Computing.
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.