Muyin Wang

10.5k total citations · 6 hit papers
99 papers, 7.4k citations indexed

About

Muyin Wang is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Muyin Wang has authored 99 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Atmospheric Science, 66 papers in Global and Planetary Change and 16 papers in Oceanography. Recurrent topics in Muyin Wang's work include Arctic and Antarctic ice dynamics (70 papers), Climate variability and models (59 papers) and Climate change and permafrost (45 papers). Muyin Wang is often cited by papers focused on Arctic and Antarctic ice dynamics (70 papers), Climate variability and models (59 papers) and Climate change and permafrost (45 papers). Muyin Wang collaborates with scholars based in United States, China and Canada. Muyin Wang's co-authors include James E. Overland, Petr Chýlek, Glen Lesins, Manvendra K. Dubey, Kevin R. Wood, John E. Walsh, Nicholas A. Bond, Julienne Strœve, Chris K. Folland and Edward Hanna and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Muyin Wang

97 papers receiving 7.0k citations

Hit Papers

Key indicators of Arctic climate c... 2009 2026 2014 2020 2019 2009 2009 2013 2019 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Muyin Wang United States 40 5.4k 3.9k 1.2k 1.1k 573 99 7.4k
Radley M. Horton United States 46 4.0k 0.7× 5.3k 1.4× 976 0.8× 728 0.7× 140 0.2× 129 9.1k
Alexander Gershunov United States 44 4.2k 0.8× 6.2k 1.6× 787 0.6× 778 0.7× 78 0.1× 120 8.3k
Peter Huybers United States 48 4.5k 0.8× 2.8k 0.7× 887 0.7× 1.2k 1.1× 624 1.1× 151 8.3k
Benjamin F. Zaitchik United States 46 1.8k 0.3× 3.8k 1.0× 1.2k 1.0× 574 0.5× 57 0.1× 225 7.5k
Henry F. Díaz United States 48 5.6k 1.0× 6.5k 1.7× 1.4k 1.2× 1.0k 1.0× 162 0.3× 110 9.5k
J. P. Verdin United States 33 3.2k 0.6× 6.7k 1.7× 525 0.4× 1.7k 1.6× 121 0.2× 93 9.8k
Neville Nicholls Australia 60 5.7k 1.1× 8.8k 2.3× 2.0k 1.6× 1.1k 1.0× 139 0.2× 176 12.3k
David M. Holland United States 48 6.2k 1.1× 1.9k 0.5× 1.1k 0.9× 481 0.4× 377 0.7× 200 8.3k
Elfatih A. B. Eltahir United States 52 5.1k 0.9× 7.9k 2.1× 899 0.7× 714 0.7× 70 0.1× 176 11.1k
Shraddhanand Shukla United States 30 2.8k 0.5× 5.6k 1.4× 396 0.3× 825 0.8× 46 0.1× 79 7.8k

Countries citing papers authored by Muyin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Muyin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muyin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Muyin Wang. A scholar is included among the top collaborators of Muyin 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 Muyin Wang. Muyin 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
1.
Hanna, Edward, Jennifer A. Francis, Muyin Wang, et al.. (2024). Influence of high-latitude blocking and the northern stratospheric polar vortex on cold-air outbreaks under Arctic amplification of global warming. SHILAP Revista de lepidopterología. 3(4). 42004–42004. 6 indexed citations
2.
Fu, Qiang, et al.. (2024). Unique Temperature Trend Pattern Associated With Internally Driven Global Cooling and Arctic Warming During 1980–2022. Geophysical Research Letters. 51(11). 3 indexed citations
3.
Overland, James E. & Muyin Wang. (2024). Future Climate Change in the Northern Bering Sea. International Journal of Climatology. 45(1). 2 indexed citations
4.
Shi, Wei & Muyin Wang. (2024). Monitoring the Amazon River plume from satellite observations. GIScience & Remote Sensing. 61(1). 3 indexed citations
5.
Chýlek, Petr, Chris K. Folland, James D. Klett, et al.. (2023). High Values of the Arctic Amplification in the Early Decades of the 21st Century: Causes of Discrepancy by CMIP6 Models Between Observation and Simulation. Journal of Geophysical Research Atmospheres. 128(23). 8 indexed citations
6.
Fu, Qiang, et al.. (2023). Internal Variability Increased Arctic Amplification During 1980–2022. Geophysical Research Letters. 50(24). 12 indexed citations
7.
Wang, Muyin, et al.. (2023). Arctic Research at PMEL: From Sea Ice to the Stratosphere. Oceanography.
8.
Chýlek, Petr, Chris K. Folland, James D. Klett, et al.. (2022). Annual Mean Arctic Amplification 1970–2020: Observed and Simulated by CMIP6 Climate Models. Geophysical Research Letters. 49(13). 112 indexed citations
9.
Wang, Shizhu, Qiang Wang, Muyin Wang, Gerrit Lohmann, & Fangli Qiao. (2022). Arctic Ocean Freshwater in CMIP6 Coupled Models. Earth s Future. 10(9). 22 indexed citations
10.
Overland, James E., Thomas J. Ballinger, Judah Cohen, et al.. (2021). How do intermittency and simultaneous processes obfuscate the Arctic influence on midlatitude winter extreme weather events?. Environmental Research Letters. 16(4). 43002–43002. 92 indexed citations
11.
Jahn, Alexandra, et al.. (2020). Seasonal transition dates can reveal biases in Arctic sea ice simulations. ˜The œcryosphere. 14(9). 2977–2997. 12 indexed citations
12.
Pei, Xiaoyuan, Wei Han, Gang Ding, Muyin Wang, & Youhong Tang. (2019). Temperature effects on structural integrity of fiber‐reinforced polymer matrix composites: A review. Journal of Applied Polymer Science. 136(45). 16 indexed citations
13.
Box, Jason E., William Colgan, Torben R. Christensen, et al.. (2019). Key indicators of Arctic climate change: 1971–2017. Environmental Research Letters. 14(4). 45010–45010. 548 indexed citations breakdown →
14.
Mioduszewski, J., Stephen J. Vavrus, Muyin Wang, Marika M. Holland, & Laura Landrum. (2019). Past and future interannual variability in Arctic sea ice in coupled climate models. ˜The œcryosphere. 13(1). 113–124. 30 indexed citations
15.
Post, Eric, Richard B. Alley, Torben R. Christensen, et al.. (2019). The polar regions in a 2°C warmer world. Science Advances. 5(12). eaaw9883–eaaw9883. 337 indexed citations breakdown →
16.
Dunlea, E. J., Jason E. Box, Robert W. Corell, et al.. (2018). The urgency of Arctic change. Polar Science. 21. 6–13. 222 indexed citations
17.
Mioduszewski, J., Steve Vavrus, Muyin Wang, Marika M. Holland, & Laura Landrum. (2018). Future interannual variability of Arctic sea ice in coupledclimate models. 1 indexed citations
18.
Strong, G. S., Muyin Wang, E. D. Soulis, et al.. (2002). Closing the Mackenzie basin water budget, water years 1994/95 to 1996/97. ATMOSPHERE-OCEAN. 40(2). 113–124. 22 indexed citations
19.
Overland, James E., Muyin Wang, & Nicholas A. Bond. (2002). Recent Temperature Changes in the Western Arctic during Spring*. Journal of Climate. 15(13). 1702–1716. 35 indexed citations
20.
Hjelmfelt, Allen T. & Muyin Wang. (1999). Modeling Hydrologic and Water Quality Responses to Grass Waterways. Journal of Hydrologic Engineering. 4(3). 251–256. 21 indexed citations

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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