Shushen Lin
Impact in
- Geophysics top 10%
- Geological and Geochemical Analysis
- High-pressure geophysics and materials
- earthquake and tectonic studies
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- Neuroscience and Neural Engineering
Papers in
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- Cardiovascular Disease and Adiposity 5
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- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- N. S. Gorbachev (1 shared paper)A. J. Naldrett (1 shared paper)V. A. Fedorenko (1 shared paper)P. C. Lightfoot (1 shared paper)Jeffrey R. Capadona (3 shared papers)Stephen M. Selkirk (2 shared papers)Robert H. Miller (2 shared papers)Patrick D. Smith (1 shared paper)
- Journals
- European Journal of Radiology (6 papers)European Radiology (4 papers)Journal of Thoracic Imaging (2 papers)Frontiers in Neuroscience (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Shushen Lin
20 papers receiving 282 citations
Peers
Comparison fields: 5 of 54
- Geophysics 84
- Cellular and Molecular Neuroscience 76
- Neurology 27
- Cognitive Neuroscience 46
- Radiology, Nuclear Medicine and Imaging 48
Countries citing papers authored by Shushen Lin
This map shows the geographic impact of Shushen Lin'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 Shushen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shushen Lin more than expected).
Fields of papers citing papers by Shushen Lin
This network shows the impact of papers produced by Shushen Lin. 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 Shushen Lin. The network helps show where Shushen Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Shushen Lin, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 88 | |
| 2 | 2018 | 47 | |
| 3 | 2018 | 21 | |
| 4 | 2022 | 19 | |
| 5 | 2018 | 17 | |
| 6 | 2021 | 16 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2021 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Shushen Lin
Shushen Lin is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 23 papers that have together received 290 indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (5 papers), Neuroscience and Neural Engineering (3 papers), Advanced X-ray and CT Imaging (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Aortic Disease and Treatment Approaches (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Acute Ischemic Stroke Management (2 papers). The work is most often cited by research in Geophysics (84 citations), Cellular and Molecular Neuroscience (76 citations), Neurology (27 citations), Cognitive Neuroscience (46 citations) and Radiology, Nuclear Medicine and Imaging (48 citations). Shushen Lin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include N. S. Gorbachev, A. J. Naldrett, V. A. Fedorenko, P. C. Lightfoot, Jeffrey R. Capadona, Stephen M. Selkirk, Robert H. Miller, Patrick D. Smith, Dawn M. Taylor and Madhumitha Ravikumar. Their work appears in journals such as European Journal of Radiology, European Radiology, Journal of Thoracic Imaging, Frontiers in Neuroscience and Frontiers in Bioengineering and Biotechnology.
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.