Dake Chen

10.0k total citations · 1 hit paper
267 papers, 7.0k citations indexed

About

Dake Chen is a scholar working on Atmospheric Science, Oceanography and Global and Planetary Change. According to data from OpenAlex, Dake Chen has authored 267 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 181 papers in Atmospheric Science, 178 papers in Oceanography and 162 papers in Global and Planetary Change. Recurrent topics in Dake Chen's work include Climate variability and models (157 papers), Oceanographic and Atmospheric Processes (147 papers) and Tropical and Extratropical Cyclones Research (87 papers). Dake Chen is often cited by papers focused on Climate variability and models (157 papers), Oceanographic and Atmospheric Processes (147 papers) and Tropical and Extratropical Cyclones Research (87 papers). Dake Chen collaborates with scholars based in China, United States and Canada. Dake Chen's co-authors include Mark A. Cane, Antonio J. Busalacchi, Tao Lian, Stephen E. Zebiak, Youmin Tang, Lewis M. Rothstein, Guihua Wang, Jilan Su, Changming Dong and Yu Liu and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Dake Chen

250 papers receiving 6.8k citations

Hit Papers

Global heat and salt tran... 2014 2026 2018 2022 2014 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dake Chen 5.0k 4.7k 4.5k 221 190 267 7.0k
Jérôme Vialard 7.0k 1.4× 6.9k 1.5× 5.2k 1.2× 303 1.4× 131 0.7× 150 8.7k
Detlef Stammer 7.5k 1.5× 6.0k 1.3× 4.4k 1.0× 227 1.0× 428 2.3× 212 9.4k
Magdalena Balmaseda 5.5k 1.1× 8.0k 1.7× 6.6k 1.5× 156 0.7× 76 0.4× 160 9.3k
Pierre‐Yves Le Traon 8.0k 1.6× 4.7k 1.0× 3.2k 0.7× 294 1.3× 293 1.5× 141 8.9k
Matthew Martin 4.1k 0.8× 4.0k 0.8× 3.5k 0.8× 299 1.4× 86 0.5× 92 5.7k
Chunzai Wang 6.3k 1.3× 9.1k 1.9× 7.7k 1.7× 678 3.1× 176 0.9× 212 10.5k
Andrew M. Moore 5.8k 1.1× 5.6k 1.2× 4.3k 1.0× 781 3.5× 243 1.3× 145 7.9k
Sarah T. Gille 5.5k 1.1× 3.7k 0.8× 3.5k 0.8× 557 2.5× 287 1.5× 185 6.9k
Alistair Adcroft 6.2k 1.2× 5.2k 1.1× 5.1k 1.1× 389 1.8× 410 2.2× 84 8.9k
Harley E. Hurlburt 6.7k 1.3× 4.4k 0.9× 3.3k 0.7× 631 2.9× 317 1.7× 123 7.6k

Countries citing papers authored by Dake Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dake Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dake Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Dake Chen. A scholar is included among the top collaborators of Dake Chen 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 Dake Chen. Dake Chen 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, Xiaohui, et al.. (2025). The Role of Local Wind Stress Curl in Modulating Kuroshio Extension Latitudinal Variability. Journal of Geophysical Research Oceans. 130(4). 2 indexed citations
2.
Meng, Hao, et al.. (2025). Numerical Investigation of Flow Field Characteristics Around a Monopile Foundation with Collar Protection. Journal of Marine Science and Engineering. 13(10). 1841–1841.
3.
Yang, Hu, Xiaoxu Shi, Yi Zhong, et al.. (2025). Changing Earth‐Sun Distance Drifts Global Circulation Patterns. Geophysical Research Letters. 52(4). 1 indexed citations
4.
Lian, Tao, et al.. (2024). Predicting the 2023/24 El Niño from a multi-scale and global perspective. Communications Earth & Environment. 5(1). 3 indexed citations
5.
Yu, Wei, Song Yang, Yimin Liu, et al.. (2024). Potential Impacts of Winter Arctic Sea Ice on Subsequent Spring Thermal Condition Over the Tibetan Plateau. Journal of Geophysical Research Atmospheres. 129(6). 4 indexed citations
6.
Yang, Qinghua, et al.. (2024). Antarctic sea ice prediction with A convolutional long short-term memory network. Ocean Modelling. 190. 102386–102386. 6 indexed citations
7.
Luo, Hao, et al.. (2024). Deep Learning Shows Promise for Seasonal Prediction of Antarctic Sea Ice in a Rapid Decline Scenario. Advances in Atmospheric Sciences. 41(8). 1569–1573. 1 indexed citations
8.
Yang, Qinghua, et al.. (2024). Evaluation of the Planetary Boundary Layer Height From ERA5 Reanalysis With MOSAiC Observations Over the Arctic Ocean. Journal of Geophysical Research Atmospheres. 129(12). 6 indexed citations
9.
Chen, Dake, et al.. (2024). Freak wave generation modulated by high wind and linear shear flow in finite water depth. Physics of Fluids. 36(7). 2 indexed citations
10.
Zhang, Han, Dake Chen, Di Tian, et al.. (2024). MASCS 1.0: synchronous atmospheric and oceanic data from a cross-shaped moored array in the northern South China Sea during 2014–2015. Earth system science data. 16(12). 5665–5679. 2 indexed citations
11.
Hu, Chundi, Bin Wang, Renguang Wu, et al.. (2024). Atlantic origin of the increasing Asian westerly jet interannual variability. Nature Communications. 15(1). 2155–2155. 14 indexed citations
12.
Yang, Qinghua, Hao Luo, Jack Landy, et al.. (2023). Better synoptic and subseasonal sea ice thickness predictions are urgently required: a lesson learned from the YOPP data validation. Environmental Research Letters. 18(7). 71002–71002. 2 indexed citations
13.
Yang, Qinghua, Matthew R. Mazloff, Xingren Wu, et al.. (2023). Transiting consolidated ice strongly influenced polynya area during a shrink event in Terra Nova Bay in 2013. Communications Earth & Environment. 4(1). 3 indexed citations
14.
Luo, Hao, Qinghua Yang, Matthew R. Mazloff, Lars Nerger, & Dake Chen. (2023). The Impacts of Optimizing Model‐Dependent Parameters on the Antarctic Sea Ice Data Assimilation. Geophysical Research Letters. 50(22). 3 indexed citations
15.
Liu, Changwei, Qinghua Yang, Matthew D. Shupe, et al.. (2023). Atmospheric Turbulent Intermittency Over the Arctic Sea‐Ice Surface During the MOSAiC Expedition. Journal of Geophysical Research Atmospheres. 128(15). 5 indexed citations
16.
Lin, Xia, et al.. (2023). Differences Between the CMIP5 and CMIP6 Antarctic Sea Ice Concentration Budgets. Geophysical Research Letters. 50(23). 10 indexed citations
17.
Liu, Xiaohui, et al.. (2023). Tide-Induced Upwelling and Its Three-Dimensional Balance of the Vertical Component of Vorticity in the Wider Area of the Bohai Strait. Journal of Marine Science and Engineering. 11(9). 1839–1839. 4 indexed citations
18.
Zhang, Han, Xiaohui Xie, Chenghao Yang, et al.. (2022). Observed Impact of Typhoon Mangkhut (2018) on a Continental Slope in the South China Sea. Journal of Geophysical Research Oceans. 127(11). 12 indexed citations
19.
Zhang, Han, et al.. (2020). Importance of Precipitation on the Upper Ocean Salinity Response to Typhoon Kalmaegi (2014). Water. 12(2). 614–614. 24 indexed citations
20.
Wu, Renhao, et al.. (2018). Impact of Typhoon Kalmaegi (2014) on the South China Sea: Simulations using a fully coupled atmosphere-ocean-wave model. Ocean Modelling. 131. 132–151. 41 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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