Lingshu Yin
- Radiation top 1%
- Advanced Radiotherapy Techniques 29
- Radiation Detection and Scintillator Technologies 6
-
- Radiation Therapy and Dosimetry 28
- Prostate Cancer Diagnosis and Treatment 3
-
- Medical Imaging Techniques and Applications 10
- Radiomics and Machine Learning in Medical Imaging 2
-
- Advanced X-ray and CT Imaging 3
-
- Radiation Effects in Electronics 4
- Co-authors
- James E. McDonoughWei ZouTimothy D. SolbergBoon‐Keng TeoGuillaume JanssensBoon-Keng Kevin TeoLucian HotoiuAlexander Lin
- Journals
- International Journal of Radiation Oncology*Biology*Physics (6 papers)Medical Physics (6 papers)Physics in Medicine and Biology (5 papers)
- Partner nations
- United StatesBelgiumCanada
In The Last Decade
Lingshu Yin
34 papers receiving 858 citations
Peers
Comparison fields: 5 of 57
- Radiation 694
- Pulmonary and Respiratory Medicine 624
- Radiology, Nuclear Medicine and Imaging 394
- Biomedical Engineering 177
- Hepatology 24
Countries citing papers authored by Lingshu Yin
This map shows the geographic impact of Lingshu Yin'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 Lingshu Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingshu Yin more than expected).
Fields of papers citing papers by Lingshu Yin
This network shows the impact of papers produced by Lingshu Yin. 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 Lingshu Yin. The network helps show where Lingshu Yin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lingshu Yin, 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 | 2025 | 1 | |
| 4 | 2024 | 9 | |
| 5 | 2021 | 12 | |
| 6 | 2020 | 27 | |
| 7 | 2020 | 48 | |
| 8 | 2019 | 16 | |
| 9 | 2018 | 50 | |
| 10 | 2018 | 2 | |
| 11 | 2017 | 129 | |
| 12 | 2016 | 173 | |
| 13 | 2016 | 1 | |
| 14 | 2015 | 73 | |
| 15 | 2015 | 35 | |
| 16 | 2014 | 11 | |
| 17 | 2014 | 34 | |
| 18 | 2012 | 17 | |
| 19 | 2010 | 9 | |
| 20 | 2009 | 16 |
About Lingshu Yin
Lingshu Yin is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology and Hepatology, having authored 37 papers that have together received 869 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (29 papers), Radiation Therapy and Dosimetry (28 papers), Medical Imaging Techniques and Applications (10 papers), Radiation Detection and Scintillator Technologies (6 papers), Radiation Effects in Electronics (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Advanced X-ray and CT Imaging (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Radiation (694 citations), Pulmonary and Respiratory Medicine (624 citations), Radiology, Nuclear Medicine and Imaging (394 citations), Biomedical Engineering (177 citations) and Hepatology (24 citations). Lingshu Yin has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include James E. McDonough, Wei Zou, Timothy D. Solberg, Boon‐Keng Teo, Guillaume Janssens, Boon-Keng Kevin Teo, Lucian Hotoiu, Alexander Lin, James M. Metz and Yunhe Xie. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Physics in Medicine and Biology, Journal of Applied Clinical Medical Physics and Radiotherapy and Oncology.
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.