Yun Lin

9.4k citations
281 papers · 6.9k indexed · 4 hit papers · h-index 41

Yun Lin

259 papers receiving 6.7k citations

Hit Papers

Contour Stella Image and Deep Lea...2582011202620162021200400600

Peers

Yun Lin
Comparison fields: 5 of 194
  • Artificial Intelligence 2.1k
  • Signal Processing 492
  • Aerospace Engineering 1.1k
  • Computer Networks and Communications 911
  • Computer Vision and Pattern Recognition 687
Replace Abhishek Kumar with:
Abhishek Kumar India
Jianwei Liu China
Gao Huang China
Jianyong Chen China
C.J. Harris United Kingdom
Wanqing Li China
Yi‐Ping Phoebe Chen Australia
Kuan Zhang China
Zenghui Wang South Africa
Jie Bao China
Yun Lin relative to Abhishek Kumar India Abhishek Kumar's profile →
Citations per field
00.5×3.9×
Abhishek Kumar · 1×
Citations per year

Countries citing papers authored by Yun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202420
3 20243
4 20241
5 20240
6 20225
7 20224
8 20229
9
The Impact of the COVID-19 Pandemic on Future Nursing Career Turnover Intention Among Nursing Students
20211
10 20214
11 20215
12 202017
13
Co-Delivery of Prednisolone and Curcumin in Human Serum Albumin Nanoparticles for Effective Treatment of Rheumatoid Arthritis
20193
14 201942
15 201960
16 201883
17 20151
18
The Spectrum Sharing in Cognitive Radio Networks Based on Competitive Price Game
20122
19
Parameter estimation of LFM signals based on fractal box dimension
20123
20
An Algorithm Combining D-S Evidence Theory with Information Entropy
20112

About Yun Lin

Yun Lin is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 281 papers that have together received 6.9k indexed citations. Recurring topics across this work include Wireless Signal Modulation Classification (57 papers), Advanced SAR Imaging Techniques (21 papers), Blind Source Separation Techniques (18 papers), Sparse and Compressive Sensing Techniques (13 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (12 papers), Indoor and Outdoor Localization Technologies (11 papers), Radar Systems and Signal Processing (10 papers) and Digital Media Forensic Detection (9 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Signal Processing (492 citations), Aerospace Engineering (1.1k citations), Computer Networks and Communications (911 citations) and Computer Vision and Pattern Recognition (687 citations). Yun Lin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ya Tu, Zheng Dou, Shiwen Mao, Meiyu Wang, Lei Liu, Jiabin Li, Yi‐Ming Li, Fei Shen, Hong‐Kui Cui and Yichao Huang. Their work appears in journals such as IEEE Access, Mobile Networks and Applications, IEEE Transactions on Reliability, Sensors and Physical Communication.

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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