Mao‐Sung Yao

4.9k citations
23 papers · 1.4k indexed · h-index 18
Topics
Climate variability and models (15 papers)Meteorological Phenomena and Simulations (15 papers)Atmospheric aerosols and clouds (11 papers)
Partner nations
United States

In The Last Decade

Mao‐Sung Yao

23 papers receiving 1.3k citations

Peers

Mao‐Sung Yao
Comparison fields: 5 of 51
  • Global and Planetary Change 1.3k
  • Atmospheric Science 1.3k
  • Oceanography 190
  • Astronomy and Astrophysics 56
  • Environmental Engineering 34
Replace D. Gregory with:
D. Gregory United Kingdom
Jonathan E. Martin United States
Richard S. Hemler United States
Masuo Nakano Japan
Nicholas R. Nalli United States
Jerry G. Olson United States
Kamal Puri Australia
Erica Madonna Norway
David G. H. Tan United Kingdom
Sun Wong United States
Mao‐Sung Yao relative to D. Gregory United Kingdom D. Gregory's profile →
Citations per field
00.5×1.7×
D. Gregory · 1×
Citations per year

Countries citing papers authored by Mao‐Sung Yao

Since Specialization
Citations

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

Fields of papers citing papers by Mao‐Sung Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mao‐Sung Yao. 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 Mao‐Sung Yao. The network helps show where Mao‐Sung Yao may publish in the future.

Co-authorship network of co-authors of Mao‐Sung Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Mao‐Sung Yao. A scholar is included among the top collaborators of Mao‐Sung Yao 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 Mao‐Sung Yao. Mao‐Sung Yao 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 41
2 25
3 129
4 171
5 48
6 151
7 85
8 53
9 32
10 354
11 37
12 2
13
Predicting cloud water variations in the GISS GCM
1
14 85
15 17
16 23
17 47
18
Properties of deep convective clouds in the ISCCP Pilot Data Set. [International Satellite Cloud Climatology Project
1
19 49
20 9

About Mao‐Sung Yao

Mao‐Sung Yao is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Climate variability and models (15 papers), Meteorological Phenomena and Simulations (15 papers) and Atmospheric aerosols and clouds (11 papers). The work is most often cited by research in Atmospheric Science (1.3k citations), Global and Planetary Change (1.3k citations) and Oceanography (190 citations). Mao‐Sung Yao has collaborated with scholars based in United States. Frequent co-authors include Anthony D. Del Genio, Kenneth Kam‐Wing Lo, Peter H. Stone, Jeffrey A. Jonas, Daehyun Kim, Yonghua Chen, Maxwell Kelley, Audrey B. Wolf, Y. Cheng and Adam H. Sobel. 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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