Junhong Wang

7.2k citations
70 papers · 5.1k indexed · 1 hit paper · h-index 35
Topics
Meteorological Phenomena and Simulations (28 papers)Climate variability and models (24 papers)Atmospheric aerosols and clouds (18 papers)

In The Last Decade

Junhong Wang

66 papers receiving 4.9k citations

Hit Papers

Short-term meditation training improves attention and sel...200720262013201920072505007501000

Peers

Junhong Wang
Comparison fields: 5 of 147
  • Atmospheric Science 2.8k
  • Global and Planetary Change 2.6k
  • Oceanography 1.2k
  • Aerospace Engineering 1.0k
  • Astronomy and Astrophysics 1.0k
Replace Steven A. Ackerman with:
Steven A. Ackerman United States
W. T. Thompson United States
Robert D. Palmer United States
Martina Krämer Germany
D. R. Marsh United States
Ronald J. Thomas United States
Giulio Ruffini Spain
Ning Ma China
Kenneth R. Hardy United States
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Junhong Wang relative to Steven A. Ackerman United States Steven A. Ackerman's profile →
Citations per field
00.5×4.1×
Steven A. Ackerman · 1×
Citations per year

Countries citing papers authored by Junhong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junhong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junhong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Junhong Wang. A scholar is included among the top collaborators of Junhong Wang 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 Junhong Wang. Junhong Wang 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 0
2 8
3 0
4 7
5 5
6 10
7 19
8 24
9 9
10 11
11 49
12 56
13 17
14 60
15 104
16
Short-term meditation training improves attention and self-regulationbreakdown →
1064
17 40
18 6
19 84
20
Determination of cloud vertical structure from upper air observations and its effects on atmospheric circulation in a GCM
8

About Junhong Wang

Junhong Wang is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 70 papers that have together received 5.1k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (28 papers), Climate variability and models (24 papers) and Atmospheric aerosols and clouds (18 papers). The work is most often cited by research in Atmospheric Science (2.8k citations), Global and Planetary Change (2.6k citations) and Oceanography (1.2k citations). Junhong Wang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Aiguo Dai, William B. Rossow, Liangying Zhang, Yaxin Fan, Qingbao Yu, Yinghua Ma, Ming Fan, Mary K. Rothbart, Yi‐Yuan Tang and Danni Sui. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and Journal of Climate.

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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