Noise Data Logging
Noise Data Logging is a systematic method within environmental acoustics that distinguishes itself by enabling the continuous, time-stamped recording of sound pressure levels for subsequent analysis of noise pollution patterns and exposure metrics.
20
Publications
621
Citations
122
Authors
42
Institutions
Publications per year
2017–2026
6
Parents
20
Bo Zhang, Zhaocai Pan, Lihu Cao et al. · Energy Science & Engineering · 2023 · 36 citations · Full text
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China National Petroleum Corporation (China)
Beijing, China
2 h-index
7 publications
188 citations
Shell (Netherlands)
The Hague, The Netherlands
2 h-index
2 publications
29 citations
National Research Council
Rome, Italy
1 h-index
17 publications
306 citations
Océanopolis
Brest, France
1 h-index
3 publications
54 citations

Space Research Organisation Netherlands
Leiden, The Netherlands
1 h-index
3 publications
30 citations
University of Maryland, College Park
College Park, United States
1 h-index
1 publications
34 citations
Office of Science
Washington, United States
1 h-index
1 publications
30 citations
Denso (United States)
Southfield, United States
1 h-index
3 publications
396 citations
1–8 of 42
JASA · 2 publications · 44 citations
2
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JPT · 2 publications · 163 citations
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Conference · 1 publications · 13 citations
1
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1 publications · 19 citations
1
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1 publications · 10 citations
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1–5