Qi Shu

2.3k total citations
79 papers, 1.3k citations indexed

About

Qi Shu is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Qi Shu has authored 79 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Atmospheric Science, 43 papers in Global and Planetary Change and 39 papers in Oceanography. Recurrent topics in Qi Shu's work include Arctic and Antarctic ice dynamics (43 papers), Climate variability and models (42 papers) and Oceanographic and Atmospheric Processes (36 papers). Qi Shu is often cited by papers focused on Arctic and Antarctic ice dynamics (43 papers), Climate variability and models (42 papers) and Oceanographic and Atmospheric Processes (36 papers). Qi Shu collaborates with scholars based in China, Germany and United States. Qi Shu's co-authors include Fangli Qiao, Zhenya Song, Qiang Wang, Jiechen Zhao, Xinfang Li, Yajuan Song, Ying Bao, Shizhu Wang, Chuanjiang Huang and Min Zhang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Qi Shu

73 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qi Shu China	18	970	692	516	160	62	79	1.3k
N. A. Diansky Russia	15	797 0.8×	673 1.0×	522 1.0×	130 0.8×	23 0.4×	79	1.1k
François Counillon Norway	25	1.1k 1.2×	862 1.2×	792 1.5×	128 0.8×	25 0.4×	65	1.5k
Robert Ricker Germany	26	1.8k 1.8×	433 0.6×	397 0.8×	241 1.5×	61 1.0×	78	2.2k
Mirong Song China	17	1.8k 1.8×	1.5k 2.1×	297 0.6×	105 0.7×	48 0.8×	38	2.0k
Christopher Horvat United States	20	994 1.0×	320 0.5×	495 1.0×	210 1.3×	30 0.5×	36	1.2k
Alexander Makshtas Russia	17	1.3k 1.3×	643 0.9×	225 0.4×	226 1.4×	89 1.4×	60	1.5k
Qinghua Yang China	21	1.2k 1.3×	550 0.8×	247 0.5×	140 0.9×	89 1.4×	125	1.4k
G. F. Cunningham United States	22	2.1k 2.2×	443 0.6×	328 0.6×	224 1.4×	61 1.0×	36	2.2k
J. Richter‐Menge United States	23	2.0k 2.1×	399 0.6×	287 0.6×	251 1.6×	87 1.4×	59	2.2k
Abdirahman M Omar Norway	19	623 0.6×	566 0.8×	874 1.7×	290 1.8×	21 0.3×	47	1.3k

Countries citing papers authored by Qi Shu

Since Specialization

Citations

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

Fields of papers citing papers by Qi Shu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Shu. A scholar is included among the top collaborators of Qi Shu 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 Qi Shu. Qi Shu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Min, Chao, Qinghua Yang, Hao Luo, et al.. (2025). Optimizing sea ice parameters mitigates the underestimation of Arctic marine access in CMIP6 climate models. Communications Earth & Environment. 6(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).

Kouwenhoven, M. B. N., et al.. (2024). Dynamical evolution of massless particles in star clusters with NBODY6++GPU-MASSLESS. Astronomy and Astrophysics. 693. A166–A166. 1 indexed citations

Wekerle, Claudia, Wilken‐Jon von Appen, Qiang Wang, et al.. (2024). Atlantic Water warming increases melt below Northeast Greenland’s last floating ice tongue. Nature Communications. 15(1). 1336–1336. 11 indexed citations

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

Wang, Qiang, Qi Shu, Alexandra Bozec, et al.. (2024). Impact of increased resolution on Arctic Ocean simulations in Ocean Model Intercomparison Project phase 2 (OMIP-2). Geoscientific model development. 17(1). 347–379. 8 indexed citations

Wang, Yunhe, Xiaojun Yuan, Yibin Ren, et al.. (2023). Subseasonal Prediction of Regional Antarctic Sea Ice by a Deep Learning Model. Geophysical Research Letters. 50(17). 17 indexed citations

Shu, Qi, et al.. (2023). Role of Ocean Advections during the Evolution of the Pacific Meridional Modes. Journal of Climate. 36(13). 4327–4343. 7 indexed citations

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

10.

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

11.

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

12.

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

13.

Min, Chao, et al.. (2022). The Emerging Arctic Shipping Corridors. Geophysical Research Letters. 49(10). 45 indexed citations

14.

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

15.

Zhao, Jiechen, et al.. (2021). Snow and ice thicknesses derived from Fast Ice Prediction System Version 2.0 (FIPS V2.0) in Prydz Bay, East Antarctica: comparison with in-situ observations. Big Earth Data. 6(4). 492–503. 4 indexed citations

16.

Zhao, Jiechen, Bin Cheng, Timo Vihma, et al.. (2020). Fast Ice Prediction System (FIPS) for land-fast sea ice at Prydz Bay, East Antarctica: an operational service for CHINARE. Annals of Glaciology. 61(83). 271–283. 14 indexed citations

17.

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

18.

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

19.

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

20.

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

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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