Liang Sun

2.8k citations
90 papers · 1.8k indexed · 1 hit paper · h-index 19
Topics
Medical Image Segmentation Techniques (11 papers)AI in cancer detection (9 papers)Face and Expression Recognition (7 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Liang Sun

80 papers receiving 1.8k citations

Hit Papers

Dual Attention Multi-Instance Deep Learning for Alzheimer...2021202620222024202150100150

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 Jinzhu Yang with:
Jinzhu Yang China
Kim‐Han Thung United States
Pengjiang Qian China
Vikas Singh United States
Shihui Ying China
Siqi Liu China
Dazhe Zhao China
Tao Zhou China
Yasser M. Kadah Egypt
Le An United States
Liang Sun relative to Jinzhu Yang China Jinzhu Yang's profile →
Citations per field
00.5×2.5×
Jinzhu Yang · 1×
Citations per year

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
#WorkIndexed 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

About Liang Sun

Liang Sun is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Neurology, having authored 90 papers that have together received 1.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), AI in cancer detection (9 papers) and Face and Expression Recognition (7 papers). The work is most often cited by research in Neurology (254 citations), Health Informatics (38 citations) and Computer Vision and Pattern Recognition (563 citations). Liang Sun has collaborated with scholars based in China, United States and Japan. Frequent 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. Their work appears in journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

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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