Xiaofei Lv
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
-
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
-
- Advanced MRI Techniques and Applications 9
- Advanced Neuroimaging Techniques and Applications 8
- Radiomics and Machine Learning in Medical Imaging 7
- Genetics 14
- Glioma Diagnosis and Treatment 14
- Co-authors
- Yingwei Qiu (28 shared papers)Huanhuan Su (14 shared papers)Ye Tang (2 shared papers)Tianzhi Yang (2 shared papers)Junzhang Tian (13 shared papers)Bin Ma (10 shared papers)Guihua Jiang (11 shared papers)Lujun Han (13 shared papers)
- Journals
- European Radiology (7 papers)Journal of Magnetic Resonance Imaging (6 papers)Brain Imaging and Behavior (5 papers)PLoS ONE (4 papers)Radiotherapy and Oncology (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaofei Lv
115 papers receiving 2.7k citations
Xiaofei Lv's Hit Papers
Peers
Comparison fields: 5 of 153
- Genetics 278
- Radiology, Nuclear Medicine and Imaging 471
- Otorhinolaryngology 77
- Cognitive Neuroscience 288
- Soil Science 128
Countries citing papers authored by Xiaofei Lv
This map shows the geographic impact of Xiaofei Lv'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 Xiaofei Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofei Lv more than expected).
Fields of papers citing papers by Xiaofei Lv
This network shows the impact of papers produced by Xiaofei Lv. 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 Xiaofei Lv. The network helps show where Xiaofei Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofei Lv, 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 122 | |
| 2 | 2021 | 101 | |
| 3 | 2016 | 100 | |
| 4 | 2017 | 87 | |
| 5 | 2018 | 80 | |
| 6 | 2011 | 78 | |
| 7 | 2018 | 78 | |
| 8 | 2023 | 77 | |
| 9 | 2018 | 76 | |
| 10 | 2021 | 61 | |
| 11 | 2014 | 61 | |
| 12 | 2011 | 60 | |
| 13 | 2013 | 53 | |
| 14 | 2013 | 52 | |
| 15 | Biogeographic patterns and drivers of soil viromes Hit paper breakdown → | 2024 | 50 |
| 16 | 2017 | 50 | |
| 17 | 2011 | 46 | |
| 18 | 2024 | 44 | |
| 19 | 2018 | 41 | |
| 20 | 2019 | 40 |
About Xiaofei Lv
Xiaofei Lv is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Biomedical Engineering, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 122 papers that have together received 2.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (14 papers), Advanced MRI Techniques and Applications (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Head and Neck Cancer Studies (8 papers), Functional Brain Connectivity Studies (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Fluid Dynamics and Mixing (6 papers) and Brain Metastases and Treatment (5 papers). The work is most often cited by research in Genetics (278 citations), Radiology, Nuclear Medicine and Imaging (471 citations), Otorhinolaryngology (77 citations), Cognitive Neuroscience (288 citations) and Soil Science (128 citations). Xiaofei Lv has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yingwei Qiu, Huanhuan Su, Ye Tang, Tianzhi Yang, Junzhang Tian, Bin Ma, Guihua Jiang, Lujun Han, Jianming Xu and Yinsheng Chen. Their work appears in journals such as European Radiology, Journal of Magnetic Resonance Imaging, Brain Imaging and Behavior, PLoS ONE 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.