Mu Mu

4.0k citations
147 papers · 3.1k indexed · h-index 32
Topics
Climate variability and models (97 papers)Meteorological Phenomena and Simulations (67 papers)Oceanographic and Atmospheric Processes (48 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Mu Mu

144 papers receiving 3.0k citations

Peers

Mu Mu
Comparison fields: 5 of 103
  • Global and Planetary Change 2.5k
  • Atmospheric Science 2.3k
  • Oceanography 1.2k
  • Environmental Engineering 252
  • Water Science and Technology 97
Replace Wansuo Duan with:
Wansuo Duan China
Timothy DelSole United States
Judith Berner United States
Thomas W. N. Haine United States
M. R. Allen United Kingdom
Laure Zanna United States
John Derber United States
Pavel Sakov Australia
Qingcun Zeng China
Prashant D. Sardeshmukh United States
Mu Mu relative to Wansuo Duan China Wansuo Duan's profile →
Citations per field
00.5×1.6×
Wansuo Duan · 1×
Citations per year

Countries citing papers authored by Mu Mu

Since Specialization
Citations

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

Fields of papers citing papers by Mu Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mu Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Mu Mu. A scholar is included among the top collaborators of Mu Mu 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 Mu Mu. Mu Mu 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 1
2 0
3 1
4 7
5 8
6 3
7 6
8 1
9 2
10 3
11 4
12 21
13 182
14 58
15
Applications of Conditional Nonlinear Optimal Perturbation to the Studies of Predictability Problems
3
16
Response of the grassland ecosystem to climate change in a theoretical model
1
17
Zebiak-Caneモデルでのエルニーニョイベントにおける「春の予測可能性バリア」に関連した一種の初期誤差
1
18 23
19 4
20 5

About Mu Mu

Mu Mu is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography, having authored 147 papers that have together received 3.1k indexed citations. Recurring topics across this work include Climate variability and models (97 papers), Meteorological Phenomena and Simulations (67 papers) and Oceanographic and Atmospheric Processes (48 papers). The work is most often cited by research in Atmospheric Science (2.3k citations), Global and Planetary Change (2.5k citations) and Oceanography (1.2k citations). Mu Mu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wansuo Duan, Guodong Sun, Hui Xu, Bin Wang, Yanshan Yu, Renhe Zhang, Xianghui Fang, Zhina Jiang, Zhiyue Zhang and Henk A. Dijkstra. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of Fluid Mechanics and Scientific Reports.

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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