Junmei Yang

33 papers receiving 630 citations

Peers

Junmei Yang
Comparison fields: 5 of 60
  • Computational Mathematics 27
  • Signal Processing 212
  • Media Technology 141
  • Computational Mechanics 133
  • Computer Vision and Pattern Recognition 130
Replace Praneeth Narayanamurthy with:
Praneeth Narayanamurthy United States
Argyrios Zymnis United States
Yao Hu China
Guangliang Chen United States
Mostafa Rahmani United States
Karl Werner Sweden
Yongli Wang China
Andrew Wagner United States
Wenli Xu China
Ofer Hadar Israel
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Citations per field
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Citations per year

Countries citing papers authored by Junmei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Junmei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010141
2 201290
3 201172
4 201157
5 201737
6 201533
7 201525
8 201023
9 201718
10 200518
11 201916
12 201613
13 201912
14 200810
15 201610
16 20148
17 20238
18 20246
19 20176
20 20225

About Junmei Yang

Junmei Yang is a scholar working on Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 36 papers that have together received 642 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (8 papers), Speech and Audio Processing (8 papers), Blind Source Separation Techniques (6 papers), Domain Adaptation and Few-Shot Learning (6 papers), Advanced MIMO Systems Optimization (5 papers), Image and Signal Denoising Methods (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Error Correcting Code Techniques (4 papers). The work is most often cited by research in Computational Mathematics (27 citations), Signal Processing (212 citations), Media Technology (141 citations), Computational Mechanics (133 citations) and Computer Vision and Pattern Recognition (130 citations). Junmei Yang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Guoxu Zhou, Zuyuan Yang, Shengli Xie, Xiaohu You, Chuan Zhang, Jun Zhang, Shuxue Ding, Yong Xiang, Shugong Xu and Liu Yang. Their work appears in journals such as Expert Systems with Applications, Knowledge-Based Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Instrumentation and Measurement and Neurocomputing.

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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