Le Yang

2.6k citations
142 papers · 1.9k · h-index 24

Impact in

    • Speech and Audio Processing
    • Direction-of-Arrival Estimation Techniques
    • Target Tracking and Data Fusion in Sensor Networks
    • Neural Networks and Reservoir Computing

Papers in

Le Yang

132 papers receiving 1.8k citations

Peers

Le Yang
Comparison fields: 5 of 97
  • Signal Processing 434
  • Artificial Intelligence 643
  • Electrical and Electronic Engineering 1.1k
  • Ocean Engineering 278
  • Aerospace Engineering 384
Replace Xiaojun Jing with:
Xiaojun Jing China
Philip V. Orlik United States
Kun Qian China
Xinming Huang United States
Chris Xiaoxuan Lu United Kingdom
Amir Asif Canada
Yonglong Tian United States
Haixin Sun China
Marian Verhelst Belgium
Le Yang relative to Xiaojun Jing China Xiaojun Jing's profile →
Citations per field
00.5×3.9×
Xiaojun Jing · 1×
Citations per year

Countries citing papers authored by Le Yang

Since Specialization
Citations

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

Fields of papers citing papers by Le Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009174
2 2007132
3 202293
4 200893
5 201673
6 201568
7 200968
8 201550
9 201843
10 201942
11 202036
12 201435
13 201031
14 201529
15 201929
16 202028
17 201228
18 202028
19 202127
20 201127

About Le Yang

Le Yang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 142 papers that have together received 1.9k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (49 papers), Target Tracking and Data Fusion in Sensor Networks (46 papers), Speech and Audio Processing (24 papers), Underwater Vehicles and Communication Systems (13 papers), Distributed Sensor Networks and Detection Algorithms (12 papers), Underwater Acoustics Research (11 papers), Blind Source Separation Techniques (11 papers) and Image and Video Quality Assessment (8 papers). The work is most often cited by research in Signal Processing (434 citations), Artificial Intelligence (643 citations), Electrical and Electronic Engineering (1.1k citations), Ocean Engineering (278 citations) and Aerospace Engineering (384 citations). Le Yang has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include K. C. Ho, Fucheng Guo, Yanbo Xue, Wenli Jiang, Simon Haykin, Yiling Xu, Qi Yang, Ming Sun, Yang Liu and Jinzhou Li. Their work appears in journals such as Digital Signal Processing, IEEE Communications Letters, IEEE Transactions on Broadcasting, IEEE Transactions on Signal Processing and Signal Processing.

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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