Yang Peng

435 citations
19 papers · 280 indexed · h-index 9

Impact in

    • Wireless Signal Modulation Classification
    • Internet Traffic Analysis and Secure E-voting
    • Machine Learning and ELM
    • Adversarial Robustness in Machine Learning
    • Blind Source Separation Techniques
    • Biometric Identification and Security

Papers in

Yang Peng

17 papers receiving 276 citations

Peers

Yang Peng
Comparison fields: 5 of 34
  • Artificial Intelligence 190
  • Signal Processing 51
  • Computer Vision and Pattern Recognition 45
  • Media Technology 16
  • Aerospace Engineering 45
Replace Lantu Guo with:
Lantu Guo China
Yuchao Liu China
Guillem Reus-Muns United States
Haoran Zha China
Batool Salehi United States
Lauren J. Wong United States
Haojun Zhao China
Monika Wieneke Germany
Ting Cheng China
Chethan Kumar Anjinappa United States
Yang Peng relative to Lantu Guo China Lantu Guo's profile →
Citations per field
00.5×1.5×2.1×
Lantu Guo · 1×
Citations per year

Countries citing papers authored by Yang Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yang Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 20242
2 20245
3 20246
4 20240
5 20246
6 20248
7 202414
8 202322
9 202337
10 20234
11 20235
12 202381
13 202335
14 202322
15 202218
16 20220
17 202213
18 20121
19
Global Subdivision Algorithm on Convex Decomposition of Concave Polygon
20111

About Yang Peng

Yang Peng is a scholar working on Signal Processing, Media Technology, Artificial Intelligence, Industrial and Manufacturing Engineering and Aerospace Engineering, having authored 19 papers that have together received 280 indexed citations. Recurring topics across this work include Wireless Signal Modulation Classification (12 papers), Radar Systems and Signal Processing (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Full-Duplex Wireless Communications (3 papers), Blind Source Separation Techniques (3 papers), Telecommunications and Broadcasting Technologies (3 papers), Manufacturing Process and Optimization (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (190 citations), Signal Processing (51 citations), Computer Vision and Pattern Recognition (45 citations), Media Technology (16 citations) and Aerospace Engineering (45 citations). Yang Peng has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Guan Gui, Yun Lin, Haris Gacanin, Fumiyuki Adachi, Xue Fu, Yibin Zhang, Yuchao Liu, Shiwen Mao, Lantu Guo and Yu Wang. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Cognitive Communications and Networking, Drones and IEEE Transactions on Vehicular Technology.

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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