Feifei Song
Impact in
- Computational Mechanics top 5%
- Granular flow and fluidized beds
- Cyclone Separators and Fluid Dynamics
Papers in
-
- Advancements in Battery Materials 10
- Advanced Battery Materials and Technologies 10
- Fuel Cells and Related Materials 6
- Co-authors
- Jinghai Li (4 shared papers)Wei Wang (4 shared papers)Yong Huang (3 shared papers)Fei Li (2 shared papers)Sofiane Benyahia (1 shared paper)Dandan Ju (9 shared papers)Feng Song (9 shared papers)Huan Sun (1 shared paper)
- Journals
- International Journal of Energy Research (4 papers)Ionics (3 papers)Journal of Luminescence (3 papers)Journal of Alloys and Compounds (3 papers)Review of Scientific Instruments (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Feifei Song
99 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 156
- Computational Mechanics 180
- Cancer Research 114
- Ocean Engineering 116
- Cell Biology 112
- Bioengineering 35
Countries citing papers authored by Feifei Song
This map shows the geographic impact of Feifei 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 Feifei Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Song more than expected).
Fields of papers citing papers by Feifei Song
This network shows the impact of papers produced by Feifei 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 Feifei Song. The network helps show where Feifei Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 146 | |
| 2 | 2012 | 134 | |
| 3 | 2018 | 92 | |
| 4 | 2018 | 78 | |
| 5 | 2021 | 60 | |
| 6 | 2015 | 53 | |
| 7 | 2017 | 49 | |
| 8 | 2020 | 48 | |
| 9 | 2015 | 48 | |
| 10 | 2019 | 45 | |
| 11 | 2018 | 43 | |
| 12 | 2017 | 37 | |
| 13 | 2017 | 36 | |
| 14 | 2023 | 35 | |
| 15 | 2016 | 29 | |
| 16 | 2019 | 26 | |
| 17 | 2018 | 26 | |
| 18 | 2012 | 26 | |
| 19 | 2014 | 26 | |
| 20 | 2016 | 25 |
About Feifei Song
Feifei Song is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Biomedical Engineering, Materials Chemistry and Automotive Engineering, having authored 105 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advancements in Battery Materials (10 papers), Advanced Battery Materials and Technologies (10 papers), Luminescence Properties of Advanced Materials (9 papers), Advanced Battery Technologies Research (8 papers), Microfluidic and Bio-sensing Technologies (6 papers), Porphyrin and Phthalocyanine Chemistry (6 papers), Conducting polymers and applications (6 papers) and Fuel Cells and Related Materials (6 papers). The work is most often cited by research in Computational Mechanics (180 citations), Cancer Research (114 citations), Ocean Engineering (116 citations), Cell Biology (112 citations) and Bioengineering (35 citations). Feifei Song has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jinghai Li, Wei Wang, Yong Huang, Fei Li, Sofiane Benyahia, Dandan Ju, Feng Song, Huan Sun, Zhiqi He and Antti Karjalainen. Their work appears in journals such as International Journal of Energy Research, Ionics, Journal of Luminescence, Journal of Alloys and Compounds and Review of Scientific Instruments.
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.