Man‐Li C. Wu

25.9k citations
26 papers · 19.8k indexed · 2 hit papers · h-index 17
Topics
Atmospheric aerosols and clouds (10 papers)Climate variability and models (9 papers)Atmospheric Ozone and Climate (9 papers)

In The Last Decade

Man‐Li C. Wu

26 papers receiving 18.9k citations

Hit Papers

The empirical mode decomposition and the Hilbert spectrum...1998202620072016199820035.0k10.0k15.0k

Peers

Man‐Li C. Wu
Comparison fields: 5 of 190
  • Control and Systems Engineering 7.0k
  • Civil and Structural Engineering 3.3k
  • Mechanical Engineering 3.3k
  • Electrical and Electronic Engineering 2.9k
  • Mechanics of Materials 2.3k
Replace Nai-chyuan Yen with:
Nai-chyuan Yen United States
Steven Long United States
C. C. Tung United States
Zhengwei Shen China
Quanan Zheng United States
Ingrid Daubechies United States
Zhaohua Wu China
Stéphane Mallat France
R. E. Kalman United States
Norden E. Huang United States
Man‐Li C. Wu relative to Nai-chyuan Yen United States Nai-chyuan Yen's profile →
Citations per field
00.5×1.5×
Nai-chyuan Yen · 1×
Citations per year

Countries citing papers authored by Man‐Li C. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Man‐Li C. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Man‐Li C. Wu. 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 Man‐Li C. Wu. The network helps show where Man‐Li C. Wu may publish in the future.

Co-authorship network of co-authors of Man‐Li C. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Man‐Li C. Wu. A scholar is included among the top collaborators of Man‐Li C. Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Man‐Li C. Wu. Man‐Li C. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 27
2 23
3 46
4 15
5 35
6 400
7 3
8
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysisbreakdown →
17636
9 11
10 6
11 3
12 20
13 16
14 127
15 7
16 43
17 7
18 4
19 39
20 14

About Man‐Li C. Wu

Man‐Li C. Wu is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes, having authored 26 papers that have together received 19.8k indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (10 papers), Climate variability and models (9 papers) and Atmospheric Ozone and Climate (9 papers). The work is most often cited by research in Control and Systems Engineering (7.0k citations), Signal Processing (2.2k citations) and Civil and Structural Engineering (3.3k citations). Man‐Li C. Wu has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Norden E. Huang, Steven Long, Henry H. Liu, Quanan Zheng, C. C. Tung, Zhengwei Shen, Nai-chyuan Yen, Samuel S. P. Shen, P. Gloersen and Siegfried D. Schubert. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

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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