Liang Sun

2.8k total citations · 1 hit paper
90 papers, 1.8k citations indexed

About

Liang Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Liang Sun has authored 90 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Liang Sun's work include Medical Image Segmentation Techniques (11 papers), AI in cancer detection (9 papers) and Face and Expression Recognition (7 papers). Liang Sun is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), AI in cancer detection (9 papers) and Face and Expression Recognition (7 papers). Liang Sun collaborates with scholars based in China, United States and Japan. Liang Sun's co-authors include Jieping Ye, Daoqiang Zhang, Shuiwang Ji, Liangxiu Han, Wenyong Zhu, Wei Shao, Kewei Chen, Jing Li, Eric M. Reiman and Teresa Wu and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Liang Sun

80 papers receiving 1.8k citations

Hit Papers

Dual Attention Multi-Instance Deep Learning for Alzheimer... 2021 2026 2022 2024 2021 50 100 150

Peers

Liang Sun
Comparison fields: 5 of 141
  • Artificial Intelligence 675
  • Computer Vision and Pattern Recognition 563
  • Radiology, Nuclear Medicine and Imaging 509
  • Cognitive Neuroscience 332
  • Neurology 254
Replace Kim‐Han Thung with:
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Vikas Singh United States
Yasser M. Kadah Egypt
Shihui Ying China
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Pengjiang Qian China
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Kim‐Han Thung United States View profile →
Citations per field, relative to Liang Sun
Liang Sun · 1×
Citations per year, relative to Liang Sun
Liang Sun · 1×

Countries citing papers authored by Liang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Liang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Sun. A scholar is included among the top collaborators of Liang Sun 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 Liang Sun. Liang Sun 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 3
2 2
3 1
4 1
5 1
6 6
7 9
8 7
9 0
10 133
11 10
12 7
13 48
14 13
15 5
16 219
17
Efficient Recovery of Jointly Sparse Vectors
39
18
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data
51
19
Multi-label Multiple Kernel Learning
36
20 8

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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