Chuanyu Liu

818 total citations
46 papers, 635 citations indexed

About

Chuanyu Liu is a scholar working on Oceanography, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Chuanyu Liu has authored 46 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Oceanography, 38 papers in Global and Planetary Change and 15 papers in Atmospheric Science. Recurrent topics in Chuanyu Liu's work include Climate variability and models (38 papers), Oceanographic and Atmospheric Processes (38 papers) and Marine and coastal ecosystems (20 papers). Chuanyu Liu is often cited by papers focused on Climate variability and models (38 papers), Oceanographic and Atmospheric Processes (38 papers) and Marine and coastal ecosystems (20 papers). Chuanyu Liu collaborates with scholars based in China, Germany and United States. Chuanyu Liu's co-authors include Fan Wang, Armin Köhl, Xinping Chen, Detlef Stammer, Bowen Sun, Shuping Wu, Zhiyu Liu, Yuanlong Li, Jin‐Song von Storch and Xiaowei Wang and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Climate.

In The Last Decade

Chuanyu Liu

45 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuanyu Liu China 15 530 358 255 67 63 46 635
Sok Kuh Kang South Korea 13 462 0.9× 163 0.5× 272 1.1× 49 0.7× 110 1.7× 32 604
Jenny Ullgren Norway 10 403 0.8× 184 0.5× 250 1.0× 65 1.0× 88 1.4× 21 565
Zhengguang Zhang China 12 945 1.8× 441 1.2× 457 1.8× 20 0.3× 35 0.6× 22 1.0k
Cédric Chavanne Canada 15 550 1.0× 203 0.6× 374 1.5× 15 0.2× 81 1.3× 41 715
Fabian Wolk Japan 11 526 1.0× 185 0.5× 288 1.1× 50 0.7× 51 0.8× 18 640
Kathleen Dohan United States 11 376 0.7× 191 0.5× 214 0.8× 22 0.3× 30 0.5× 13 469
Kenneth E. Prada United States 9 336 0.6× 174 0.5× 256 1.0× 33 0.5× 66 1.0× 21 493
Xiaomei Lu United States 14 414 0.8× 498 1.4× 214 0.8× 18 0.3× 12 0.2× 51 795
Daniel E. Frye United States 12 380 0.7× 127 0.4× 134 0.5× 128 1.9× 40 0.6× 37 535
Nicolas Wienders United States 12 366 0.7× 250 0.7× 187 0.7× 36 0.5× 27 0.4× 21 436

Countries citing papers authored by Chuanyu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chuanyu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuanyu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Chuanyu Liu. A scholar is included among the top collaborators of Chuanyu Liu 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 Chuanyu Liu. Chuanyu Liu 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.
Liu, Chuanyu, et al.. (2025). Subsurface ocean turbulent mixing enhances central Pacific ENSO. Nature Communications. 16(1). 2315–2315. 1 indexed citations
2.
Feng, Liqiang, Chuanyu Liu, James C. McWilliams, & Fan Wang. (2025). Scaling Estimation for Growth Rate and Horizontal Wavelength of Charney‐Type Submesoscale Baroclinic Instabilities (C‐SBCIs). Journal of Geophysical Research Oceans. 130(5). 1 indexed citations
3.
Liu, Chuanyu, et al.. (2025). Global Distribution and Seasonal Variations of Charney‐Type Submesoscale Baroclinic Instabilities (C‐SBCIs). Journal of Geophysical Research Oceans. 130(5). 1 indexed citations
4.
Liu, Yingjie, et al.. (2024). Transitions in surface thermal signatures during the evolution of long-lived eddies in the global ocean. Deep Sea Research Part I Oceanographic Research Papers. 206. 104279–104279. 2 indexed citations
5.
Ma, Kai, et al.. (2023). Ocean mixing induced by three-dimensional structure of equatorial mode tropical instability waves in the Pacific Ocean. Frontiers in Marine Science. 10. 2 indexed citations
6.
Ma, Kai, Chuanyu Liu, Jun‐Li Xu, & Fan Wang. (2023). Contrasts of bimodal tropical instability waves (TIWs)-induced wind stress perturbations in the Pacific Ocean among observations, ocean models, and coupled climate models. Journal of Oceanology and Limnology. 42(1). 1–23. 1 indexed citations
7.
8.
Qi, Jifeng, et al.. (2022). An Ensemble-Based Machine Learning Model for Estimation of Subsurface Thermal Structure in the South China Sea. Remote Sensing. 14(13). 3207–3207. 20 indexed citations
9.
Liu, Chuanyu, et al.. (2022). Seasonality of Four Types of Baroclinic Instability in the Global Oceans. Journal of Geophysical Research Oceans. 127(5). 12 indexed citations
10.
Wang, Jin, Chuanyu Liu, Xiaowei Wang, et al.. (2022). Wind-Driven Mechanisms for the Variations of the Pacific Equatorial Undercurrent Based on Adjoint Sensitivity Analysis. Frontiers in Marine Science. 9. 1 indexed citations
11.
Liu, Chuanyu, et al.. (2021). Four Types of Baroclinic Instability Waves in the Global Oceans and the Implications for the Vertical Structure of Mesoscale Eddies. Journal of Geophysical Research Oceans. 126(3). 24 indexed citations
12.
Xie, Qiang, Weihong He, Zhaozheng Wang, et al.. (2020). Observation system simulation experiments using an ensemble-based method in the northeastern South China Sea. Journal of Oceanology and Limnology. 38(6). 1729–1745. 4 indexed citations
13.
Liu, Chuanyu, et al.. (2019). The Subsurface Mode Tropical Instability Waves in the Equatorial Pacific Ocean and Their Impacts on Shear and Mixing. Geophysical Research Letters. 46(21). 12270–12278. 14 indexed citations
14.
Liu, Chuanyu, et al.. (2019). Impact of operating conditions on the productivity of star-rated hotels in mainland China: verification from spatial metrology.. 11(1). 87–94.
15.
Liu, Chuanyu, Xiaowei Wang, Armin Köhl, Fan Wang, & Zhiyu Liu. (2018). The Northeast‐Southwest Oscillating Equatorial Mode of the Tropical Instability Wave and Its Impact on Equatorial Mixing. Geophysical Research Letters. 46(1). 218–225. 20 indexed citations
16.
Ren, Qiuping, et al.. (2018). Seasonality of the Mindanao Current/Undercurrent System. Journal of Geophysical Research Oceans. 123(2). 1105–1122. 34 indexed citations
17.
Liu, Chuanyu, Fan Wang, Xinping Chen, & Jin‐Song von Storch. (2014). Interannual variability of the Kuroshio onshore intrusion along the East China Sea shelf break: Effect of the Kuroshio volume transport. Journal of Geophysical Research Oceans. 119(9). 6190–6209. 47 indexed citations
18.
Chen, Xinping, Chuanyu Liu, Kieran O’Driscoll, et al.. (2013). On the nudging terms at open boundaries in regional ocean models. Ocean Modelling. 66. 14–25. 14 indexed citations
19.
Liu, Chuanyu. (2012). Study on Distribution Characteristics of National Key Protected Wild Plants in Northwest Yunnan. 1 indexed citations
20.
Wang, Fan & Chuanyu Liu. (2009). An N-shape thermal front in the western South Yellow Sea in winter. Chinese Journal of Oceanology and Limnology. 27(4). 898–906. 22 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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