Qing Lü
Impact in
-
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- MRI in cancer diagnosis 14
- Advanced MRI Techniques and Applications 6
- Radiomics and Machine Learning in Medical Imaging 5
- Oncology 17
- Lymphatic System and Diseases 12
- Co-authors
- Jianrong Xu (25 shared papers)Lian‐Ming Wu (14 shared papers)Shiteng Suo (17 shared papers)Beijian Huang (10 shared papers)Liyun Xue (8 shared papers)Wen‐Ping Wang (8 shared papers)Jia Hua (7 shared papers)Jian-Rong Xu (3 shared papers)
- Journals
- Journal of Magnetic Resonance Imaging (7 papers)European Journal of Radiology (5 papers)Scientific Reports (4 papers)PLoS ONE (4 papers)Academic Radiology (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qing Lü
118 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 101
- Radiology, Nuclear Medicine and Imaging 646
- Hepatology 250
- Oncology 532
- Genetics 132
- Ophthalmology 115
Countries citing papers authored by Qing Lü
This map shows the geographic impact of Qing 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 Qing Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Lü more than expected).
Fields of papers citing papers by Qing Lü
This network shows the impact of papers produced by Qing 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 Qing Lü. The network helps show where Qing Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 308 | |
| 2 | 2017 | 171 | |
| 3 | 2012 | 127 | |
| 4 | 2009 | 114 | |
| 5 | 2017 | 95 | |
| 6 | 2015 | 94 | |
| 7 | 2015 | 76 | |
| 8 | 2008 | 57 | |
| 9 | 2015 | 57 | |
| 10 | 2019 | 57 | |
| 11 | 2014 | 54 | |
| 12 | 2017 | 51 | |
| 13 | 2010 | 48 | |
| 14 | 2012 | 45 | |
| 15 | 2019 | 44 | |
| 16 | 2010 | 42 | |
| 17 | 2012 | 38 | |
| 18 | 2018 | 38 | |
| 19 | 2010 | 36 | |
| 20 | 2016 | 32 |
About Qing Lü
Qing Lü is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Ophthalmology, Pulmonary and Respiratory Medicine and Hepatology, having authored 124 papers that have together received 2.6k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (14 papers), Lymphatic System and Diseases (12 papers), Retinal Diseases and Treatments (9 papers), Advanced MRI Techniques and Applications (6 papers), Renal cell carcinoma treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Angiogenesis and VEGF in Cancer (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (646 citations), Hepatology (250 citations), Oncology (532 citations), Genetics (132 citations) and Ophthalmology (115 citations). Qing Lü has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianrong Xu, Lian‐Ming Wu, Shiteng Suo, Beijian Huang, Liyun Xue, Wen‐Ping Wang, Jia Hua, Jian-Rong Xu, Zhaohua Jiang and Ningfei Liu. Their work appears in journals such as Journal of Magnetic Resonance Imaging, European Journal of Radiology, Scientific Reports, PLoS ONE and Academic Radiology.
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.