Baolan Lu
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
Papers in
-
- MRI in cancer diagnosis 14
- Radiomics and Machine Learning in Medical Imaging 4
- Oncology 6
- Colorectal Cancer Surgical Treatments 6
- Co-authors
- Shenping Yu (15 shared papers)Xinyue Yang (11 shared papers)Xiaojuan Xiao (5 shared papers)Yan Chen (4 shared papers)Yiyan Liu (4 shared papers)Ziping Li (3 shared papers)Shi‐Ting Feng (4 shared papers)Xuehua Li (4 shared papers)
- Journals
- European Radiology (3 papers)Abdominal Radiology (2 papers)Cancer Imaging (2 papers)BMC Cancer (1 paper)Digestive and Liver Disease (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Baolan Lu
24 papers receiving 436 citations
Peers
Comparison fields: 5 of 36
- Health Informatics 32
- Radiology, Nuclear Medicine and Imaging 202
- Genetics 185
- Oncology 37
- Cancer Research 16
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 98 | |
| 2 | 2021 | 72 | |
| 3 | 2022 | 59 | |
| 4 | 2019 | 24 | |
| 5 | 2018 | 21 | |
| 6 | 2018 | 21 | |
| 7 | 2018 | 20 | |
| 8 | 2018 | 16 | |
| 9 | 2019 | 15 | |
| 10 | 2021 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2019 | 8 | |
| 15 | 2024 | 8 | |
| 16 | 2018 | 7 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2024 | 5 |
About Baolan Lu
Baolan Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Genetics, Hepatology and Cancer Research, having authored 25 papers that have together received 438 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (14 papers), Inflammatory Bowel Disease (7 papers), Colorectal Cancer Surgical Treatments (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), MicroRNA in disease regulation (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (32 citations), Radiology, Nuclear Medicine and Imaging (202 citations), Genetics (185 citations), Oncology (37 citations) and Cancer Research (16 citations). Baolan Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shenping Yu, Xinyue Yang, Xiaojuan Xiao, Yan Chen, Yiyan Liu, Ziping Li, Shi‐Ting Feng, Xuehua Li, Bingqi Shen and Li Huang. Their work appears in journals such as European Radiology, Abdominal Radiology, Cancer Imaging, BMC Cancer and Digestive and Liver Disease.
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.