Weiguo Lu
Impact in
- Radiation top 0.1%
- Advanced Radiotherapy Techniques
-
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
Papers in
- Radiation 103
- Advanced Radiotherapy Techniques 100
-
- Medical Imaging Techniques and Applications 59
- Radiomics and Machine Learning in Medical Imaging 21
- Radiation Dose and Imaging 10
- Journals
- Medical Physics (45 papers)Physics in Medicine and Biology (37 papers)International Journal of Radiation Oncology*Biology*Physics (16 papers)Journal of Applied Clinical Medical Physics (4 papers)Radiotherapy and Oncology (2 papers)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Weiguo Lu
118 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Radiation 2.5k
- Radiology, Nuclear Medicine and Imaging 2.3k
- Otorhinolaryngology 211
- Health Informatics 59
- Pulmonary and Respiratory Medicine 1.4k
Countries citing papers authored by Weiguo Lu
This map shows the geographic impact of Weiguo 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 Weiguo Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiguo Lu more than expected).
Fields of papers citing papers by Weiguo Lu
This network shows the impact of papers produced by Weiguo 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 Weiguo Lu. The network helps show where Weiguo Lu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weiguo 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 16 | |
| 12 | 2018 | 8 | |
| 13 | 2018 | 21 | |
| 14 | Dose Prediction with U-net: A Feasibility Study for Predicting Dose Distributions from Contours using Deep Learning on Prostate IMRT Patients. | 2017 | 24 |
| 15 | 2016 | 5 | |
| 16 | 2015 | 20 | |
| 17 | 2013 | 8 | |
| 18 | 2011 | 20 | |
| 19 | 2011 | 31 | |
| 20 | 2008 | 6 |
About Weiguo Lu
Weiguo Lu is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Health Informatics and Neurology, having authored 132 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (100 papers), Medical Imaging Techniques and Applications (59 papers), Radiation Therapy and Dosimetry (48 papers), Radiomics and Machine Learning in Medical Imaging (21 papers), Advanced X-ray and CT Imaging (14 papers), Medical Image Segmentation Techniques (12 papers), Radiation Dose and Imaging (10 papers) and Brain Metastases and Treatment (9 papers). The work is most often cited by research in Radiation (2.5k citations), Radiology, Nuclear Medicine and Imaging (2.3k citations), Otorhinolaryngology (211 citations), Health Informatics (59 citations) and Pulmonary and Respiratory Medicine (1.4k citations). Weiguo Lu has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include G Olivera, Kenneth J. Ruchala, T Mackie, Quan Chen, Xuejun Gu, Steve Jiang, Dan Nguyen, G. Olivera, K Langen and Patrick A. Kupelian. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, International Journal of Radiation Oncology*Biology*Physics, Journal of Applied Clinical Medical Physics 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.