Baoshu Yin

4.3k total citations · 1 hit paper
150 papers, 3.3k citations indexed

About

Baoshu Yin is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Baoshu Yin has authored 150 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Oceanography, 66 papers in Atmospheric Science and 48 papers in Global and Planetary Change. Recurrent topics in Baoshu Yin's work include Oceanographic and Atmospheric Processes (108 papers), Ocean Waves and Remote Sensing (72 papers) and Climate variability and models (42 papers). Baoshu Yin is often cited by papers focused on Oceanographic and Atmospheric Processes (108 papers), Ocean Waves and Remote Sensing (72 papers) and Climate variability and models (42 papers). Baoshu Yin collaborates with scholars based in China, Australia and United States. Baoshu Yin's co-authors include Dezhou Yang, Zhenhua Xu, Xingru Feng, Jifeng Qi, Yijun Hou, Yong Zha, Heng Lü, Yufeng Li, C. Le and Danfeng Sun and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Baoshu Yin

141 papers receiving 3.2k citations

Hit Papers

Eutrophication of Lake Wa... 2010 2026 2015 2020 2010 100 200 300 400 500
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. Eutrophication of Lake Waters in China: Cost, Causes, and Control
    2010 545 citations Baoshu Yin et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baoshu Yin China 27 2.0k 1.1k 763 425 406 150 3.3k
Harald Svendsen Norway 33 2.0k 1.0× 1.7k 1.5× 1.0k 1.3× 903 2.1× 1.2k 3.0× 104 4.6k
Yan Bai China 31 2.7k 1.3× 690 0.6× 946 1.2× 406 1.0× 837 2.1× 154 3.5k
Rosalia Santoleri Italy 38 3.5k 1.7× 1.6k 1.4× 2.2k 2.9× 169 0.4× 929 2.3× 145 4.7k
L. Hoffmann Belgium 39 1.3k 0.6× 930 0.8× 1.8k 2.4× 360 0.8× 1.1k 2.6× 164 5.2k
Russell Frew New Zealand 35 1.8k 0.9× 853 0.8× 507 0.7× 271 0.6× 1.5k 3.7× 137 4.1k
Huiwang Gao China 38 1.3k 0.7× 2.5k 2.3× 1.4k 1.8× 349 0.8× 489 1.2× 221 4.6k
JoLynn Carroll Norway 33 803 0.4× 800 0.7× 859 1.1× 726 1.7× 687 1.7× 92 2.7k
Jing Tang China 26 535 0.3× 766 0.7× 795 1.0× 441 1.0× 673 1.7× 97 2.6k

Countries citing papers authored by Baoshu Yin

Since Specialization
Citations

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

Fields of papers citing papers by Baoshu Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoshu Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Baoshu Yin. A scholar is included among the top collaborators of Baoshu Yin 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 Baoshu Yin. Baoshu Yin 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
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Li, Delei, Jakob Zscheischler, Yang Chen, et al.. (2024). Intensification and Poleward Shift of Compound Wind and Precipitation Extremes in a Warmer Climate. Geophysical Research Letters. 51(11). 5 indexed citations
4.
Yang, Dezhou, et al.. (2024). Two Key Mechanisms of Large‐Scale Cross‐Shelf Penetrating Fronts in the East China Sea: Flow Convergence and Thermocline Undulation. Journal of Geophysical Research Oceans. 129(2). 4 indexed citations
5.
Qi, Jifeng, et al.. (2023). Estimating thermohaline structures in the tropical Indian Ocean from surface parameters using an improved CNN model. Frontiers in Marine Science. 10. 9 indexed citations
6.
Xu, Zhenhua, et al.. (2023). Satellite Observed Multisource Internal Tide Radiation and Interference in the Banda Sea. Journal of Geophysical Research Oceans. 128(9). 5 indexed citations
7.
Zhao, Guangfeng, Delei Li, Paula Camus, et al.. (2023). Weather-type statistical downscaling for ocean wave climate in the Chinese marginal seas. Ocean Modelling. 187. 102297–102297. 2 indexed citations
8.
You, Jia, et al.. (2022). Enhancing Sea Ice Inertial Oscillations in the Arctic Ocean between 1979 and 2019. Water. 15(1). 152–152. 2 indexed citations
9.
Gao, Guandong, Dezhou Yang, Lingjing Xu, et al.. (2022). A Biological‐Parameter‐Optimized Modeling Study of Physical Drivers Controlling Seasonal Chlorophyll Blooms off the Southern Coast of Java Island. Journal of Geophysical Research Oceans. 127(11). 4 indexed citations
10.
Wu, Xin‐Ping, et al.. (2022). Application of the Trigonometric Polynomial Interpolation for the Estimation of the Vertical Eddy Viscosity Coefficient Based on the Ekman Adjoint Assimilation Model. Journal of Marine Science and Engineering. 10(8). 1165–1165. 4 indexed citations
11.
Yang, Dezhou, et al.. (2022). Impact of 4D-Var data assimilation on modelling of the East China Sea dynamics. Ocean Modelling. 176. 102044–102044. 12 indexed citations
12.
Cui, Xuan, Dezhou Yang, Chaojiao Sun, et al.. (2021). New Insight Into the Onshore Intrusion of the Kuroshio Into the East China Sea. Journal of Geophysical Research Oceans. 126(2). 12 indexed citations
13.
Xu, Lingjing, Dezhou Yang, Rencheng Yu, et al.. (2021). Nonlocal Population Sources Triggering Dinoflagellate Blooms in the Changjiang Estuary and Adjacent Seas: A Modeling Study. Journal of Geophysical Research Biogeosciences. 126(11). 9 indexed citations
14.
You, Jia, Zhenhua Xu, Qun Li, et al.. (2021). Enhanced internal tidal mixing in the Philippine Sea mesoscale environment. Nonlinear processes in geophysics. 28(2). 271–284. 9 indexed citations
15.
Chang, Hang, Zhenhua Xu, Baoshu Yin, et al.. (2019). Generation and Propagation of M2 Internal Tides Modulated by the Kuroshio Northeast of Taiwan. Journal of Geophysical Research Oceans. 124(4). 2728–2749. 28 indexed citations
16.
Xu, Zhenhua, et al.. (2018). The evolution of mode-2 internal solitary waves modulated by background shear currents. Nonlinear processes in geophysics. 25(2). 441–455. 13 indexed citations
17.
Xu, Zhenhua, et al.. (2018). The evolution of mode-2 internal solitary waves modulated by background shear currents. Biogeosciences (European Geosciences Union). 1 indexed citations
18.
You, Zai-Jin & Baoshu Yin. (2016). Standardized Procedure for Estimation of Extreme Ocean Waves. The 26th International Ocean and Polar Engineering Conference. 1 indexed citations
19.
Xu, Zhenhua, et al.. (2016). Long-range propagation and associated variability of internal tides in the South China Sea. Journal of Geophysical Research Oceans. 121(11). 8268–8286. 107 indexed citations
20.
Wang, Yigang, et al.. (2007). The Study of the Bed Shear Stress On the Irregular Waves. 3 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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