Lightning Signal Processing
Lightning Signal Processing is a methodological framework within atmospheric sensing that analyzes and interprets electromagnetic signals generated by lightning discharges to extract spatiotemporal characteristics, distinguish between cloud-to-ground and intra-cloud events, and enhance detection accuracy through noise reduction, signal classification, and waveform parameterization.
94
Publications
3.2K
Citations
339
Authors
130
Institutions
Publications per year
2017–2026
27
Parents
94
Yanan Zhu, Vladimir A. Rakov, M. D. Tran et al. · Journal of Geophysical Research Atmospheres · 2017 · 99 citations · Full text
Natural Sciences, Earth Sciences, Electrical Engineering +17
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130
University of Florida
Gainesville, United States
10 h-index
33 publications
1.7K citations
Chinese Academy of Meteorological Sciences
Beijing, China
6 h-index
31 publications
984 citations
The University of Osaka
Osaka, Japan
5 h-index
10 publications
634 citations
New Mexico Institute of Mining and Technology
Socorro, United States
4 h-index
14 publications
1.3K citations
Fudan University
Shanghai, China
3 h-index
12 publications
388 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
156 citations
Wuhan University
Wuhan, China
3 h-index
22 publications
730 citations

Nanjing University of Information Science and Technology
Nanjing, China
3 h-index
13 publications
252 citations
1–8 of 130
JGR · 9 publications · 484 citations
9
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JGR · 8 publications · 520 citations
8
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6 publications · 193 citations
6
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5 publications · 125 citations
5
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5 publications · 271 citations
5
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