Yan Yang

1.9k citations
131 papers · 1.3k indexed · h-index 19

Impact in

Papers in

Yan Yang

111 papers receiving 1.2k citations

Peers

Yan Yang
Comparison fields: 5 of 112
  • Applied Mathematics 192
  • Automotive Engineering 126
  • Signal Processing 102
  • Control and Systems Engineering 204
  • Computer Vision and Pattern Recognition 177
Replace Yue Wang with:
Yue Wang China
Li United States
Pramod Kumar India
Wei Dong China
Yiheng Wei China
Michael Zeifman United States
Zhigang Ren China
David Yang Gao United States
Tyrone L. Vincent United States
Yuhu Wu China
Yan Yang relative to Yue Wang China Yue Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020108
2 201275
3 202370
4 201360
5 202158
6 201455
7 202047
8 202140
9 202140
10 201435
11 201730
12 201424
13 201923
14 202023
15 201821
16 201521
17 202120
18 202020
19 200819
20 201517

About Yan Yang

Yan Yang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Applied Mathematics and Computer Vision and Pattern Recognition, having authored 131 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (20 papers), Mathematical Analysis and Transform Methods (15 papers), Algebraic and Geometric Analysis (10 papers), Millimeter-Wave Propagation and Modeling (10 papers), Metal-Organic Frameworks: Synthesis and Applications (8 papers), Image and Signal Denoising Methods (8 papers), Machine Fault Diagnosis Techniques (7 papers) and Microwave Engineering and Waveguides (7 papers). The work is most often cited by research in Applied Mathematics (192 citations), Automotive Engineering (126 citations), Signal Processing (102 citations), Control and Systems Engineering (204 citations) and Computer Vision and Pattern Recognition (177 citations). Yan Yang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Tao Qian, Kit Ian Kou, Shuping Dang, Chris Mı, Mohamed A. Mohamed, Pei Dang, Cheng‐Liang Zhu, Heba M. Abdullah, Peng Wang and Dan Wang. Their work appears in journals such as Measurement, Mathematical Methods in the Applied Sciences, Energy Reports, IEEE Transactions on Wireless Communications and Big Data Mining and Analytics.

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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