The DOI matches its Crossref record.
A review on Hilbert‐Huang transform: Method and its applications to geophysical studies
Abstract
Data analysis has been one of the core activities in scientific research, but limited by the availability of analysis methods in the past, data analysis was often relegated to data processing. To accommodate the variety of data generated by nonlinear and nonstationary processes in nature, the analysis method would have to be adaptive. Hilbert‐Huang transform, consisting of empirical mode decomposition and Hilbert spectral analysis, is a newly developed adaptive data analysis method, which has been used extensively in geophysical research. In this review, we will briefly introduce the method, list some recent developments, demonstrate the usefulness of the method, summarize some applications in various geophysical research areas, and finally, discuss the outstanding open problems. We hope this review will serve as an introduction of the method for those new to the concepts, as well as a summary of the present frontiers of its applications for experienced research scientists.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Feng, Z., Liang, M., & Chu, F. (2013) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2013.01.017 · Cited by 998
Evolution of land surface air temperature trend
Ji, F., Wu, Z., Huang, J., & Chassignet, E. P. (2014) · Nature Climate Change · doi:10.1038/nclimate2223 · Cited by 601
Self-citationMPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion Recognition
Song, T., Zheng, W., Lu, C., Zong, Y., Zhang, X., & Cui, Z. (2019) · IEEE Access · doi:10.1109/access.2019.2891579 · Cited by 336
Mariyappa, N., Sengottuvel, S., Parasakthi, C., Gireesan, K., Janawadkar, M. P., Radhakrishnan, T. S., & Sundar, C. S. (2014) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2014.06.023 · Cited by 38
Lan, C., Liu, H., Katul, G. G., Li, D., & Finn, D. (2022) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2022jd036565 · Cited by 19
Metadata
- Authors
- Huang, N. E., & Wu, Z.
- Venue
- Reviews of Geophysics
- Publisher
- American Geophysical Union (AGU)
- Published
- 2008-06
- Volume
- 46
- Issue
- 2
- ISSN
- 0096-1043 (ISSN-L)
- 8755-1209
- 1944-9208
- OpenAlex
- W2088202114
- Cited by
- 1,803
- References
- 0
- FWCI
- 73.42
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A review on Hilbert‐Huang transform: Method and its applications to geophysical studies. https://app.cochat.ai/papers/10.1029/2007rg000228
- The paper
- Huang, N. E., & Wu, Z. (2008). A review on Hilbert‐Huang transform: Method and its applications to geophysical studies. Reviews of Geophysics. https://doi.org/10.1029/2007rg000228
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.