Lin Shu

2.0k citations
30 papers · 1.3k indexed · 1 hit paper · h-index 10

Lin Shu

27 papers receiving 1.2k citations

Hit Papers

Error Control Coding1.1k20042026201120182505007501000

Peers

Lin Shu
Comparison fields: 5 of 111
  • Computer Networks and Communications 717
  • Hardware and Architecture 102
  • Electrical and Electronic Engineering 846
  • Artificial Intelligence 349
  • Computational Theory and Mathematics 91
Replace Sheng Ma with:
Sheng Ma China
Marcos A. M. Vieira Brazil
Vincent Gaudet Canada
H. Mori Japan
Limin Xiao China
Ebrahim M. Songhori United States
Kyung‐Yong Chwa South Korea
Fikret Erçal United States
Bernard Tourancheau France
Min Yao China
Lin Shu relative to Sheng Ma China Sheng Ma's profile →
Citations per field
00.5×1.5×2.3×
Sheng Ma · 1×
Citations per year

Countries citing papers authored by Lin Shu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20240
5 20246
6 20231
7 20234
8 20231
9 20233
10 202210
11 202228
12 202027
13 20133
14
[Clinical study on acupuncture for treatment of chronic functional constipation].
20109
15
Analysis of Receiver′s Dynamic Range
20092
16 200911
17 20081
18
Error Control Codingbreakdown →
20041057
19
simplified analysis on calculation model of interlayer seismic isolation
20028
20 20004

About Lin Shu

Lin Shu is a scholar working on Computational Mathematics, Health Informatics and Geriatrics and Gerontology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (6 papers), Recommender Systems and Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Complex Network Analysis Techniques (2 papers), MRI in cancer diagnosis (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Structural Analysis and Optimization (1 paper). The work is most often cited by research in Computer Networks and Communications (717 citations), Hardware and Architecture (102 citations) and Electrical and Electronic Engineering (846 citations). Lin Shu has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Daniel J. Costello, Chuan Chen, Zhen Chen, Yijing Liu, Zibin Zheng, Yinglong Wu, Junfei Duan, Donghai Wei, Lingjun Li and Zhaoyong Chen. Their work appears in journals such as Cell Metabolism, Cancer Research and Scientific Reports.

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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