Wei Shen

12.1k total citations · 5 hit papers
132 papers, 4.7k citations indexed

About

Wei Shen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Wei Shen has authored 132 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Wei Shen's work include Advanced Neural Network Applications (27 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Medical Image Segmentation Techniques (14 papers). Wei Shen is often cited by papers focused on Advanced Neural Network Applications (27 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Medical Image Segmentation Techniques (14 papers). Wei Shen collaborates with scholars based in China, United States and Hong Kong. Wei Shen's co-authors include Alan Yuille, Feng Yang, Caiyun Yang, Mu Zhou, Xiang Bai, Xinggang Wang, Zhijiang Zhang, Xiang Bai, Jie Tian and Yan Wang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Cancer Research.

In The Last Decade

Wei Shen

124 papers receiving 4.6k citations

Hit Papers

Multi-crop Convolutional Neural Networks for lung nodule ... 2015 2026 2018 2022 2016 2015 2015 2023 2023 100 200 300 400

Peers

Wei Shen
Comparison fields: 5 of 166
  • Computer Vision and Pattern Recognition 2.8k
  • Artificial Intelligence 1.3k
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Pulmonary and Respiratory Medicine 638
  • Media Technology 459
Replace Mingchen Gao with:
Mingchen Gao United States
Marco Loog Netherlands
Greg Slabaugh United Kingdom
Hoo-Chang Shin United States
Dimitris Metaxas United States
Weidong Cai Australia
Chen Li China
Isabella Nogues United States
Gustavo Carneiro Australia
Irene Yu‐Hua Gu Sweden
Mingchen Gao United States View profile →
Citations per field, relative to Wei Shen
Wei Shen · 1×
Citations per year, relative to Wei Shen
Wei Shen · 1×

Countries citing papers authored by Wei Shen

Since Specialization
Citations

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

Fields of papers citing papers by Wei Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Shen. A scholar is included among the top collaborators of Wei Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei Shen. Wei Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 8
4 0
5 9
6 26
7 66
8 14
9 2
10 5
11 22
12 9
13 23
14 156
15 156
16 24
17 289
18 65
19
Label Distribution Learning Forests
31
20 27

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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