Xiaolei Song
- Biophysics top 0.5%
- Electron Spin Resonance Studies 13
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- Advanced MRI Techniques and Applications 39
- MRI in cancer diagnosis 17
- Optical Imaging and Spectroscopy Techniques 15
- Geophysics top 5%
- Seismic Imaging and Inversion Techniques 23
- Seismic Waves and Analysis 16
- Materials Chemistry top 5%
- Lanthanide and Transition Metal Complexes 42
- Biomaterials top 5%
-
- Photoacoustic and Ultrasonic Imaging 14
- Co-authors
- Michael T. McMahonSergey FomelGuanshu LiuLexing YingKannie W. Y. ChanJeff W. M. BultePeter C.M. van ZijlAssaf A. Gilad
- Journals
- Angewandte Chemie International Edition (2 papers)Nature Communications (1 paper)Nature Materials (2 papers)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Xiaolei Song
139 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 158
- Biophysics 422
- Radiology, Nuclear Medicine and Imaging 1.1k
- Geophysics 480
- Materials Chemistry 1.1k
- Biomaterials 275
Countries citing papers authored by Xiaolei Song
This map shows the geographic impact of Xiaolei 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 Xiaolei Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolei Song more than expected).
Fields of papers citing papers by Xiaolei Song
This network shows the impact of papers produced by Xiaolei 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 Xiaolei Song. The network helps show where Xiaolei Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaolei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 1 | |
| 11 | 2021 | 8 | |
| 12 | 2020 | 3 | |
| 13 | 2019 | 29 | |
| 14 | 2019 | 23 | |
| 15 | 2019 | 129 | |
| 16 | 2013 | 56 | |
| 17 | Time-lapse surface seismic data registration and inversion for CO2 sequestration at Cranfield | 2012 | 1 |
| 18 | 2011 | 51 | |
| 19 | The methods and applications of computer three-dimensional reconstruction of female pelvis based on CT scan. | 2010 | 0 |
| 20 | A Synonyms Based Word Sentiment Orientation Discriminating | 2009 | 4 |
About Xiaolei Song
Xiaolei Song is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging and Geophysics, having authored 155 papers that have together received 3.2k indexed citations. Recurring topics across this work include Lanthanide and Transition Metal Complexes (42 papers), Advanced MRI Techniques and Applications (39 papers), Seismic Imaging and Inversion Techniques (23 papers), MRI in cancer diagnosis (17 papers), Seismic Waves and Analysis (16 papers), Optical Imaging and Spectroscopy Techniques (15 papers), Photoacoustic and Ultrasonic Imaging (14 papers) and Electron Spin Resonance Studies (13 papers). The work is most often cited by research in Biophysics (422 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Geophysics (480 citations). Xiaolei Song has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Michael T. McMahon, Sergey Fomel, Guanshu Liu, Lexing Ying, Kannie W. Y. Chan, Jeff W. M. Bulte, Peter C.M. van Zijl, Assaf A. Gilad, Piotr Walczak and Martin G. Pomper. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications and Nature Materials.
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.