Guanglei Wang

61 papers receiving 998 citations

Hit Papers

MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation 2020 · 274 citations
274202020262022202450100150200250

Peers

Guanglei Wang
Comparison fields: 5 of 122
  • Neurology 90
  • Computer Vision and Pattern Recognition 200
  • Mechanical Engineering 287
  • Radiation 60
  • Metals and Alloys 16
Replace Daniela Ushizima with:
Daniela Ushizima United States
Peng Feng China
Munendra Singh India
Soheil Soltani United States
Nilanjan Ray Canada
Tobias Knopp Germany
Adele P. Peskin United States
Yun Jiang China
Guanglei Wang relative to Daniela Ushizima United States Daniela Ushizima's profile →
Citations per field
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Daniela Ushizima · 1×
Citations per year

Countries citing papers authored by Guanglei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guanglei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guanglei Wang, 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 Guanglei Wang Line = papers co-authored together Guanglei Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation
Hit paper breakdown →
2020274
2 201487
3 201150
4 201346
5 202045
6 200740
7 201735
8 202131
9 201831
10 201628
11 202227
12 201226
13 201426
14 202025
15 202221
16 202416
17 202215
18 201415
19 201313
20 202212

About Guanglei Wang

Guanglei Wang is a scholar working on Structural Biology, Radiation, Computer Vision and Pattern Recognition, Neurology and Mechanical Engineering, having authored 71 papers that have together received 1.0k indexed citations. Recurring topics across this work include High Temperature Alloys and Creep (14 papers), Advanced Neural Network Applications (11 papers), Particle Accelerators and Free-Electron Lasers (10 papers), Advanced X-ray Imaging Techniques (9 papers), AI in cancer detection (9 papers), Medical Image Segmentation Techniques (9 papers), Microstructure and Mechanical Properties of Steels (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Neurology (90 citations), Computer Vision and Pattern Recognition (200 citations), Mechanical Engineering (287 citations), Radiation (60 citations) and Metals and Alloys (16 citations). Guanglei Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hongrui Wang, Yan Li, Ying‐Cheng Lai, Liang Huang, Celso Grebogi, Yan Li, Guangming Xie, Z.A. Luo, Jide Liu and Lili Ren. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Acta Metallurgica Sinica (English Letters), Journal of Materials Research and Technology, Physical Review Special Topics - Accelerators and Beams and Biomedical Optics Express.

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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