Lu Wen
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
-
- Colorectal Cancer Surgical Treatments
- Colorectal Cancer Screening and Detection
Papers in
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- Radiomics and Machine Learning in Medical Imaging 8
- MRI in cancer diagnosis 4
- Co-authors
- Xiaoping Yu (8 shared papers)Feng Bi (3 shared papers)Wei Wang (1 shared paper)Jumei Zhou (3 shared papers)Yuning Chen (1 shared paper)Bimin Shi (2 shared papers)Qiang Lu (2 shared papers)Qiang Lu (3 shared papers)
- Journals
- Academic Radiology (3 papers)BMC Cancer (2 papers)Abdominal Radiology (2 papers)Scientific Reports (1 paper)Radiotherapy and Oncology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lu Wen
25 papers receiving 326 citations
Peers
Comparison fields: 5 of 54
- Radiology, Nuclear Medicine and Imaging 141
- Oncology 105
- Hepatology 30
- Hematology 35
- Otorhinolaryngology 13
Countries citing papers authored by Lu Wen
This map shows the geographic impact of Lu Wen'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 Lu Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Wen more than expected).
Fields of papers citing papers by Lu Wen
This network shows the impact of papers produced by Lu Wen. 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 Lu Wen. The network helps show where Lu Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Wen, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 36 | |
| 2 | 2016 | 31 | |
| 3 | 2017 | 28 | |
| 4 | 2019 | 26 | |
| 5 | 2023 | 25 | |
| 6 | 2011 | 21 | |
| 7 | 2023 | 19 | |
| 8 | 2017 | 18 | |
| 9 | 2014 | 17 | |
| 10 | 2019 | 16 | |
| 11 | 2016 | 15 | |
| 12 | 2019 | 14 | |
| 13 | 2016 | 11 | |
| 14 | Myosin 1b promotes migration, invasion and glycolysis in cervical cancer via ERK/HIF-1α pathway. | 2021 | 9 |
| 15 | 2022 | 8 | |
| 16 | 2018 | 8 | |
| 17 | 2025 | 6 | |
| 18 | Bile acid metabolism and liver fibrosis following treatment with bifid triple viable capsules in nonalcoholic fatty liver disease. | 2021 | 6 |
| 19 | 2005 | 4 | |
| 20 | 2024 | 3 |
About Lu Wen
Lu Wen is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Surgery and Otorhinolaryngology, having authored 27 papers that have together received 329 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Colorectal Cancer Surgical Treatments (6 papers), MRI in cancer diagnosis (4 papers), Head and Neck Cancer Studies (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Cancer-related molecular mechanisms research (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (141 citations), Oncology (105 citations), Hepatology (30 citations), Hematology (35 citations) and Otorhinolaryngology (13 citations). Lu Wen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaoping Yu, Feng Bi, Wei Wang, Jumei Zhou, Yuning Chen, Bimin Shi, Qiang Lu, Qiang Lu, Jian Yu and Hui Wang. Their work appears in journals such as Academic Radiology, BMC Cancer, Abdominal Radiology, Scientific Reports 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.