Lin Lü
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Health Informatics top 2%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 25
- Cardiac Imaging and Diagnostics 8
- Oncology 14
- Colorectal Cancer Screening and Detection 10
- Co-authors
- Binsheng Zhao (28 shared papers)Lawrence Howard Schwartz (29 shared papers)Yongqiang Tan (2 shared papers)Laurent Dercle (13 shared papers)Yu‐Dong Cai (23 shared papers)Chuanmiao Xie (1 shared paper)Wei‐Yann Tsai (1 shared paper)Jing Qi (1 shared paper)
- Journals
- Molecular Diversity (6 papers)European Radiology (6 papers)Tomography (5 papers)Journal of Cardiovascular Magnetic Resonance (5 papers)American Journal of Roentgenology (4 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Lin Lü
105 papers receiving 3.2k citations
Lin Lü's Hit Papers
Peers
Comparison fields: 5 of 142
- Radiology, Nuclear Medicine and Imaging 1.6k
- Health Informatics 62
- Hepatology 144
- Pulmonary and Respiratory Medicine 571
- Oncology 354
Countries citing papers authored by Lin Lü
This map shows the geographic impact of Lin Lü'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 Lin Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Lü more than expected).
Fields of papers citing papers by Lin Lü
This network shows the impact of papers produced by Lin Lü. 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 Lin Lü. The network helps show where Lin Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Lü, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Reproducibility of radiomics for deciphering tumor phenotype with imaging Hit paper breakdown → | 2016 | 433 |
| 2 | 2018 | 196 | |
| 3 | 2019 | 150 | |
| 4 | 2020 | 147 | |
| 5 | 2016 | 134 | |
| 6 | 2020 | 128 | |
| 7 | 2016 | 108 | |
| 8 | 2014 | 106 | |
| 9 | 2018 | 81 | |
| 10 | 2021 | 80 | |
| 11 | 2022 | 77 | |
| 12 | 2020 | 74 | |
| 13 | 2018 | 70 | |
| 14 | 2018 | 65 | |
| 15 | 2020 | 62 | |
| 16 | 2015 | 57 | |
| 17 | 2019 | 57 | |
| 18 | 2017 | 54 | |
| 19 | 2018 | 51 | |
| 20 | 2019 | 48 |
About Lin Lü
Lin Lü is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 114 papers that have together received 3.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (25 papers), Machine Learning in Bioinformatics (17 papers), Colorectal Cancer Screening and Detection (10 papers), Advanced X-ray and CT Imaging (10 papers), Lung Cancer Diagnosis and Treatment (9 papers), Cardiac Imaging and Diagnostics (8 papers), RNA and protein synthesis mechanisms (7 papers) and Adrenal and Paraganglionic Tumors (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.6k citations), Health Informatics (62 citations), Hepatology (144 citations), Pulmonary and Respiratory Medicine (571 citations) and Oncology (354 citations). Lin Lü has collaborated with scholars based in China, United States and France. Frequent co-authors include Binsheng Zhao, Lawrence Howard Schwartz, Yongqiang Tan, Laurent Dercle, Yu‐Dong Cai, Chuanmiao Xie, Wei‐Yann Tsai, Jing Qi, Fadel M. Megahed and Waldyn G. Martinez. Their work appears in journals such as Molecular Diversity, European Radiology, Tomography, Journal of Cardiovascular Magnetic Resonance and American Journal of Roentgenology.
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.