Zhenya Song

5.0k total citations · 1 hit paper
112 papers, 2.3k citations indexed

About

Zhenya Song is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Zhenya Song has authored 112 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Global and Planetary Change, 72 papers in Atmospheric Science and 66 papers in Oceanography. Recurrent topics in Zhenya Song's work include Climate variability and models (71 papers), Oceanographic and Atmospheric Processes (61 papers) and Meteorological Phenomena and Simulations (33 papers). Zhenya Song is often cited by papers focused on Climate variability and models (71 papers), Oceanographic and Atmospheric Processes (61 papers) and Meteorological Phenomena and Simulations (33 papers). Zhenya Song collaborates with scholars based in China, United States and Germany. Zhenya Song's co-authors include Fangli Qiao, Qi Shu, Ying Bao, Yajuan Song, Qiang Wang, Chuanjiang Huang, Yeli Yuan, Jiechen Zhao, Chunzai Wang and Xinfang Li 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

Zhenya Song

101 papers receiving 2.2k citations

Hit Papers

The Sunway TaihuLight supercomputer: system and applications 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenya Song China 24 1.3k 1.2k 1.1k 196 158 112 2.3k
Anthony P Craig United States 25 1.5k 1.1× 1.6k 1.3× 798 0.7× 151 0.8× 36 0.2× 55 2.4k
Robert M. Graham United States 21 1.6k 1.2× 819 0.7× 425 0.4× 93 0.5× 43 0.3× 51 2.1k
Nils Wedi United Kingdom 33 2.6k 2.0× 2.4k 2.0× 557 0.5× 104 0.5× 45 0.3× 72 3.3k
John D. Farrara United States 25 952 0.7× 992 0.8× 838 0.8× 84 0.4× 30 0.2× 76 1.7k
Hirofumi Tomita Japan 34 3.8k 2.8× 3.5k 3.0× 513 0.5× 144 0.7× 89 0.6× 99 4.3k
Jarle Berntsen Norway 19 389 0.3× 371 0.3× 714 0.7× 55 0.3× 47 0.3× 46 1.2k
John B. Drake United States 14 764 0.6× 471 0.4× 206 0.2× 125 0.6× 87 0.6× 48 1.4k
Sophie Valcke France 16 1.0k 0.8× 975 0.8× 537 0.5× 93 0.5× 16 0.1× 37 1.4k
Xunqiang Yin China 13 466 0.3× 250 0.2× 553 0.5× 164 0.8× 144 0.9× 52 981
J. Walter Larson United States 12 424 0.3× 301 0.3× 277 0.3× 221 1.1× 79 0.5× 45 831

Countries citing papers authored by Zhenya Song

Since Specialization
Citations

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

Fields of papers citing papers by Zhenya Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenya Song

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenya Song. A scholar is included among the top collaborators of Zhenya Song 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 Zhenya Song. Zhenya Song 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.
Zhang, Shaoqing, et al.. (2024). Improved Atmosphere‐Ocean Coupled Simulation by Parameterizing Sub‐Diurnal Scale Air‐Sea Interactions. Journal of Advances in Modeling Earth Systems. 16(8). 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.
Song, Zhenya, et al.. (2023). Assessment of the FIO-CPS v2.0 in predicting 2-meter air temperature over China. Dynamics of Atmospheres and Oceans. 103. 101391–101391. 1 indexed citations
7.
Walsh, Kevin, et al.. (2023). Surface Wave Mixing Modifies Projections of 21st Century Ocean Heat Uptake. Atmosphere. 14(3). 532–532. 1 indexed citations
8.
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
9.
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
10.
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
11.
Wen, Chi, Huakang Tu, Wanlu Li, et al.. (2023). Association of fat mass and fat‐free mass with all‐cause and cause‐specific mortality in Asian individuals: A prospective cohort study. Obesity. 31(12). 3043–3055. 1 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.
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
14.
Song, Yajuan, et al.. (2021). Different Influencing Mechanisms of Two ENSO Types on the Interannual Variation in Diurnal SST over the Niño-3 and Niño-4 Regions. Journal of Climate. 35(1). 125–139. 5 indexed citations
15.
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
16.
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
17.
Huang, Xiaomeng, Dong Wang, Qi Wu, et al.. (2019). OpenArray v1.0: a simple operator library for the decoupling of ocean modeling and parallel computing. Geoscientific model development. 12(11). 4729–4749. 8 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.
Song, Zhenya. (2008). The effect of the wave-induced mixing on the upper ocean temperature in a climate model. 海洋学报(英文版). 16 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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