Ran Yang

72 papers receiving 1.0k citations

Peers

Ran Yang
Comparison fields: 5 of 119
  • Acoustics and Ultrasonics 40
  • Computer Vision and Pattern Recognition 298
  • Control and Systems Engineering 259
  • Modeling and Simulation 50
  • Computer Networks and Communications 231
Replace Qiusheng Lian with:
Qiusheng Lian China
Alessio Zappone Italy
Yuping Duan China
Ayush Bhandari United Kingdom
David Lara Mexico
Xin Jin China
Maide Bucolo Italy
Xiaoyang Yu China
Peng Zhou China
Ran Yang relative to Qiusheng Lian China Qiusheng Lian's profile →
Citations per field
00.5×10×15.4×
Qiusheng Lian · 1×
Citations per year

Countries citing papers authored by Ran Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ran Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20240
3 202442
4 20240
5 20233
6 202315
7 202222
8 20213
9 20198
10 201926
11 201732
12 20169
13 201628
14 201517
15 201418
16 20131
17
On analysis of GRAPPA algorithm for image reconstruction of parallel MRI
20090
18 200923
19 20041
20 20030

About Ran Yang

Ran Yang is a scholar working on Acoustics and Ultrasonics, Computer Vision and Pattern Recognition, General Engineering, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 83 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (12 papers), Stability and Control of Uncertain Systems (12 papers), Sparse and Compressive Sensing Techniques (11 papers), Neural Networks Stability and Synchronization (10 papers), Video Surveillance and Tracking Methods (8 papers), Medical Imaging Techniques and Applications (6 papers), Distributed Control Multi-Agent Systems (6 papers) and Adaptive Control of Nonlinear Systems (5 papers). The work is most often cited by research in Acoustics and Ultrasonics (40 citations), Computer Vision and Pattern Recognition (298 citations), Control and Systems Engineering (259 citations), Modeling and Simulation (50 citations) and Computer Networks and Communications (231 citations). Ran Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Cishen Zhang, Lihua Xie, Qinfen Zheng, Song Liu, Xiaoyan Li, Jiang Wei, Huiying Liang, Liyan Pan, Alex Leykin and Riad Hammoud. Their work appears in journals such as Neurocomputing, Communications in Nonlinear Science and Numerical Simulation, Multidimensional Systems and Signal Processing, IEEE Transactions on Circuits and Systems I Regular Papers and Information Sciences.

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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