Guanglei Wang

1.6k citations
72 papers · 1.1k · 1 hit paper · h-index 17

Impact in

Papers in

Guanglei Wang

62 papers receiving 1.1k citations

Guanglei Wang's Hit Papers

MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation 2020 · 292 citations
2920+2+4Years since publication50100150200250

Peers

Guanglei Wang
Comparison fields: 5 of 120
  • Neurology 88
  • Computer Vision and Pattern Recognition 197
  • Mechanical Engineering 299
  • Radiation 60
  • Metals and Alloys 16
Replace Haofeng Li with:
Haofeng Li China
Daniela Ushizima United States
Peng Feng China
Munendra Singh India
Soheil Soltani United States
Pu Huang China
Yuan Xu China
Guanglei Wang relative to Haofeng Li China Haofeng Li's profile →
Citations per field
00.5×5.2×
Haofeng Li · 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 72 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 →
2020292
2 201491
3 201152
4 201347
5 202047
6 200740
7 201736
8 201831
9 202131
10 202228
11 201628
12 202028
13 201227
14 201427
15 202221
16 202418
17 202216
18 202315
19 201414
20 202414

About Guanglei Wang

Guanglei Wang is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 72 papers that have together received 1.1k 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), Medical Image Segmentation Techniques (9 papers), AI in cancer detection (9 papers), Advanced X-ray Imaging 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 (88 citations), Computer Vision and Pattern Recognition (197 citations), Mechanical Engineering (299 citations), Radiation (60 citations) and Metals and Alloys (16 citations). Guanglei Wang has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Hongrui Wang, Yan Li, Ying‐Cheng Lai, Liang Huang, Celso Grebogi, Z.A. Luo, Guangming Xie, Jide Liu, Yan Li and Lili Ren. Their work appears in journals such as Journal of Materials Research and Technology, Biomedical Optics Express, Biomedical Signal Processing and Control, Physical Review Special Topics - Accelerators and Beams and Acta Metallurgica Sinica (English Letters).

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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