Fangli Qiao

11.3k total citations · 1 hit paper
267 papers, 6.3k citations indexed

About

Fangli Qiao is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Fangli Qiao has authored 267 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 203 papers in Oceanography, 147 papers in Atmospheric Science and 128 papers in Global and Planetary Change. Recurrent topics in Fangli Qiao's work include Oceanographic and Atmospheric Processes (176 papers), Ocean Waves and Remote Sensing (109 papers) and Climate variability and models (107 papers). Fangli Qiao is often cited by papers focused on Oceanographic and Atmospheric Processes (176 papers), Ocean Waves and Remote Sensing (109 papers) and Climate variability and models (107 papers). Fangli Qiao collaborates with scholars based in China, United States and Australia. Fangli Qiao's co-authors include Zhenya Song, Changshui Xia, Yeli Yuan, Qi Shu, Chuanjiang Huang, Xingang Lü, Yongzeng Yang, Dejun Dai, Jian Ma and Guansuo Wang and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and The Science of The Total Environment.

In The Last Decade

Fangli Qiao

250 papers receiving 6.1k citations

Hit Papers

The Sunway TaihuLight supercomputer: system and applications 2016 2026 2019 2022 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Sunway TaihuLight supercomputer: system and applications
    2016 310 citations Lanning Wang, Zhenya Song et al. profile →

Peers

Fangli Qiao
Rainer Bleck United States
Eric P. Chassignet United States
Patrick Heimbach United States
William J. Emery United States
Henk A. Dijkstra Netherlands
Dieter Wolf‐Gladrow Germany
António M. Baptista United States
Clint Dawson United States
Praveen Kumar United States
Mariana Vertenstein United States
Rainer Bleck United States
Fangli Qiao
Citations per year, relative to Fangli Qiao Fangli Qiao (= 1×) peers Rainer Bleck

Countries citing papers authored by Fangli Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Fangli Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangli Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of Fangli Qiao. A scholar is included among the top collaborators of Fangli Qiao 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 Fangli Qiao. Fangli Qiao 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.
Wang, Qiang, Qi Shu, Shizhu Wang, et al.. (2025). Dominant inflation of the Arctic Ocean’s Beaufort Gyre in a warming climate. Communications Earth & Environment. 6(1).
2.
Shu, Qi, Qiang Wang, Zhenya Song, et al.. (2025). Distinct Impacts of Increased Atlantic and Pacific Ocean Heat Transport on Arctic Ocean Warming and Sea Ice Decline. Journal of Geophysical Research Oceans. 130(3).
3.
Wu, Lichuan, Guansuo Wang, Jun A. Zhang, et al.. (2024). A Numerical Study of Tropical Cyclone and Ocean Responses to Air‐Sea Momentum Flux at High Winds. Journal of Geophysical Research Oceans. 129(7). 1 indexed citations
4.
He, Yan, Qi Shu, Qiang Wang, et al.. (2024). Arctic Amplification of marine heatwaves under global warming. Nature Communications. 15(1). 8265–8265. 8 indexed citations
5.
Liu, Chunlei, Ning Cao, Lijing Cheng, et al.. (2024). Assessment of the global ocean heat content and North Atlantic heat transport over 1993–2020. npj Climate and Atmospheric Science. 7(1).
6.
Walsh, Kevin, et al.. (2023). Surface Wave Mixing Modifies Projections of 21st Century Ocean Heat Uptake. Atmosphere. 14(3). 532–532. 1 indexed citations
7.
Bao, Ying, Zhenya Song, Qi Shu, et al.. (2023). Key to ENSO phase-locking simulation: effects of sea surface temperature diurnal amplitude. npj Climate and Atmospheric Science. 6(1). 7 indexed citations
8.
Shu, Qi, Qiang Wang, Chuncheng Guo, et al.. (2023). Arctic Ocean simulations in the CMIP6 Ocean Model Intercomparison Project (OMIP). Geoscientific model development. 16(9). 2539–2563. 10 indexed citations
9.
Shu, Qi, Qiang Wang, Shizhu Wang, et al.. (2023). Future Arctic Climate Change in CMIP6 Strikingly Intensified by NEMO‐Family Climate Models. Geophysical Research Letters. 50(4). 24 indexed citations
10.
Shu, Qi, Qiang Wang, Marius Årthun, et al.. (2022). Arctic Ocean Amplification in a warming climate in CMIP6 models. Science Advances. 8(30). eabn9755–eabn9755. 89 indexed citations
11.
Song, Zhenya, Yao Liu, Qi Shu, et al.. (2022). swNEMO_v4.0: an ocean model based on NEMO4 for the new-generation Sunway supercomputer. Geoscientific model development. 15(14). 5739–5756. 8 indexed citations
12.
Babanin, Alexander V., et al.. (2021). Laboratory experiments on CO2 gas exchange with wave breaking. Journal of Physical Oceanography. 10 indexed citations
13.
Wang, Shizhu, Xun Gong, Fangli Qiao, et al.. (2021). The impact of non-breaking surface waves in upper-ocean temperature simulations of the Last Glacial Maximum. Environmental Research Letters. 16(3). 34008–34008. 3 indexed citations
14.
Zhang, Min, Ying Bao, Chang Zhao, et al.. (2021). Seasonal to decadal spatiotemporal variations of the global ocean carbon sink. Global Change Biology. 28(5). 1786–1797. 18 indexed citations
15.
Shu, Qi, Qiang Wang, Zhenya Song, et al.. (2020). Assessment of Sea Ice Extent in CMIP6 With Comparison to Observations and CMIP5. Geophysical Research Letters. 47(9). 130 indexed citations
16.
Shu, Qi, Qiang Wang, Jie Su, Xiang Li, & Fangli Qiao. (2019). Assessment of the Atlantic water layer in the Arctic Ocean in CMIP5 climate models. Climate Dynamics. 53(9-10). 5279–5291. 31 indexed citations
17.
Wang, Shizhu, Qiang Wang, Qi Shu, et al.. (2019). Improving the Upper‐Ocean Temperature in an Ocean Climate Model (FESOM 1.4): Shortwave Penetration Versus Mixing Induced by Nonbreaking Surface Waves. Journal of Advances in Modeling Earth Systems. 11(2). 545–557. 12 indexed citations
18.
Shu, Qi, Fangli Qiao, Zhenya Song, Jiechen Zhao, & Xinfang Li. (2018). Projected Freshening of the Arctic Ocean in the 21st Century. Journal of Geophysical Research Oceans. 123(12). 9232–9244. 45 indexed citations
19.
Qiao, Fangli, et al.. (2015). シナ海の核実験からの~(137)Csの影響のシミュレーション. 37(3). 15–24. 2 indexed citations
20.
Song, Zhenya, et al.. (2007). An improvement of the too cold tongue in the tropical Pacific with the development of an ocean-wave-atmosphere coupled numerical model. Progress in Natural Science Materials International. 17(5). 576–583. 18 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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