Baolan Lu
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
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- Colorectal Cancer Surgical Treatments
- Colorectal Cancer Screening and Detection
Papers in
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- Radiomics and Machine Learning in Medical Imaging 12
- MRI in cancer diagnosis 9
- Advanced Neuroimaging Techniques and Applications 2
- Oncology 11
- Colorectal Cancer Surgical Treatments 10
- Colorectal Cancer Screening and Detection 2
- Co-authors
- Xinyue Yang (11 shared papers)Xiaojuan Xiao (5 shared papers)Yan Chen (4 shared papers)Yiyan Liu (4 shared papers)Bingqi Shen (3 shared papers)Shi‐Ting Feng (5 shared papers)Yan Chen (2 shared papers)Heng Li (1 shared paper)
- Journals
- Cancer Imaging (2 papers)Abdominal Radiology (2 papers)European Radiology (2 papers)Academic Radiology (1 paper)BMC Cancer (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Baolan Lu
19 papers receiving 220 citations
Peers
Comparison fields: 5 of 39
- Radiology, Nuclear Medicine and Imaging 127
- Oncology 95
- Genetics 55
- Obstetrics and Gynecology 12
- Cancer Research 22
Countries citing papers authored by Baolan Lu
This map shows the geographic impact of Baolan Lu'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 Baolan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baolan Lu more than expected).
Fields of papers citing papers by Baolan Lu
This network shows the impact of papers produced by Baolan Lu. 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 Baolan Lu. The network helps show where Baolan Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Baolan Lu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 50 | |
| 2 | 2018 | 21 | |
| 3 | 2019 | 20 | |
| 4 | 2018 | 19 | |
| 5 | 2018 | 19 | |
| 6 | 2019 | 15 | |
| 7 | 2018 | 15 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 9 | |
| 11 | 2018 | 8 | |
| 12 | 2019 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 2 | |
| 17 | [Diagnostic accuracy of 3.0T high-resolution MRI for assessment mesorectal lymph node metastases in patients with rectal cancer]. | 2018 | 2 |
| 18 | Diagnostic Value of Gd-EOB-DTPA in Hepatic Focal Nodular Hyperplasia | 2015 | 1 |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Baolan Lu
Baolan Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Surgery, Genetics and Epidemiology, having authored 21 papers that have together received 223 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Colorectal Cancer Surgical Treatments (10 papers), MRI in cancer diagnosis (9 papers), Inflammatory Bowel Disease (4 papers), Colorectal and Anal Carcinomas (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Autoimmune and Inflammatory Disorders (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (127 citations), Oncology (95 citations), Genetics (55 citations), Obstetrics and Gynecology (12 citations) and Cancer Research (22 citations). Baolan Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xinyue Yang, Xiaojuan Xiao, Yan Chen, Yiyan Liu, Bingqi Shen, Shi‐Ting Feng, Yan Chen, Heng Li, Qinghua Cao and Li Huang. Their work appears in journals such as Cancer Imaging, Abdominal Radiology, European Radiology, Academic Radiology and BMC Cancer.
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.