Wei Lü

6.0k citations
253 papers · 4.7k · h-index 34

Impact in

Papers in

Wei Lü

229 papers receiving 4.6k citations

Peers

Wei Lü
Comparison fields: 5 of 178
  • Radiation 1.2k
  • Radiology, Nuclear Medicine and Imaging 1.9k
  • Computer Vision and Pattern Recognition 702
  • Pulmonary and Respiratory Medicine 903
  • Instrumentation 78
Replace Jing Wang with:
Jing Wang China
Ruijiang Li United States
Kenneth G. A. Gilhuijs Netherlands
Ying Xiao United States
Xun Jia United States
Hua Li United States
Jianhua Ma China
Nicholas Petrick United States
Joseph Y. Lo United States
Ling Zhang China
Wei Lü relative to Jing Wang China Jing Wang's profile →
Citations per field
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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 253 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005176
2 2006176
3 2005171
4 2017168
5 2018140
6 2012137
7 2007130
8 2018126
9 2007120
10 2017114
11 2012111
12 2019108
13 2008104
14 2007102
15 200698
16 201497
17 200889
18 200588
19 200587
20 200882

About Wei Lü

Wei Lü is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Instrumentation, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 253 papers that have together received 4.7k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (61 papers), Medical Imaging Techniques and Applications (54 papers), Radiomics and Machine Learning in Medical Imaging (38 papers), Lung Cancer Diagnosis and Treatment (29 papers), Advanced Optical Sensing Technologies (22 papers), Topic Modeling (13 papers), Medical Image Segmentation Techniques (12 papers) and Radiation Therapy and Dosimetry (10 papers). The work is most often cited by research in Radiation (1.2k citations), Radiology, Nuclear Medicine and Imaging (1.9k citations), Computer Vision and Pattern Recognition (702 citations), Pulmonary and Respiratory Medicine (903 citations) and Instrumentation (78 citations). Wei Lü has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Daniel A. Low, Jeffrey D. Bradley, Parag Jitendra Parikh, Shan Tan, James P. Hubenschmidt, Jinglu Tan, Laquan Li, Jack Uetrecht, Issam El Naqa and Yen Sin Wong. 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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