Wei Lü

5.7k citations
245 papers · 4.5k · h-index 33

Impact in

Papers in

Wei Lü

225 papers receiving 4.4k citations

Peers

Wei Lü
Comparison fields: 5 of 147
  • Radiation 1.4k
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Computer Vision and Pattern Recognition 1.2k
  • Instrumentation 68
  • Health Informatics 62
Replace Xun Jia with:
Xun Jia United States
Ivo Wolf A Germany
Jürgen Hesser Germany
Christian Rieß Germany
Jianwen Luo China
Hua Li China
Anthony P. Reeves United States
Zhengrong Jerome Liang United States
Yongyi Yang United States
Stefanie Speidel Germany
Wei Lü relative to Xun Jia United States Xun Jia's profile →
Citations per field
00.5×10×20×34×
Xun Jia · 1×
Citations per year

Countries citing papers authored by Wei Lü

Since Specialization
Citations

This map shows the geographic impact of Wei 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 Wei Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Lü more than expected).

Fields of papers citing papers by Wei Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei 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 Wei Lü. The network helps show where Wei Lü may publish in the future.

Co-authors

The 25 scholars most cited alongside Wei Lü, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei Lü Line = papers co-authored together Wei Lü links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 245 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005177
2 2006177
3 2005174
4 2017172
5 2018144
6 2012137
7 2007132
8 2018129
9 2007124
10 2017117
11 2019113
12 2012111
13 2008104
14 2007102
15 2006100
16 201496
17 200890
18 200588
19 200587
20 201383

About Wei Lü

Wei Lü is a scholar working on Radiation, Instrumentation, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 245 papers that have together received 4.5k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (69 papers), Medical Image Segmentation Techniques (23 papers), Advanced Optical Sensing Technologies (21 papers), Radiomics and Machine Learning in Medical Imaging (20 papers), Medical Imaging Techniques and Applications (13 papers), Topic Modeling (8 papers), 3D Shape Modeling and Analysis (7 papers) and Hepatocellular Carcinoma Treatment and Prognosis (7 papers). The work is most often cited by research in Radiation (1.4k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Computer Vision and Pattern Recognition (1.2k citations), Instrumentation (68 citations) and Health Informatics (62 citations). Wei Lü has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Daniel A. Low, Jeffrey D. Bradley, Shan Tan, Parag Jitendra Parikh, James P. Hubenschmidt, Jinglu Tan, Laquan Li, Issam El Naqa, Y.S. Wong and Jerry Ying Hsi Fuh. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology, Journal of Applied Clinical Medical Physics and Optics & Laser Technology.

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.

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