Weiwei Fu

1.4k total citations · 1 hit paper
27 papers, 961 citations indexed

About

Weiwei Fu is a scholar working on Oceanography, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Weiwei Fu has authored 27 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oceanography, 20 papers in Global and Planetary Change and 12 papers in Atmospheric Science. Recurrent topics in Weiwei Fu's work include Climate variability and models (15 papers), Marine and coastal ecosystems (12 papers) and Oceanographic and Atmospheric Processes (12 papers). Weiwei Fu is often cited by papers focused on Climate variability and models (15 papers), Marine and coastal ecosystems (12 papers) and Oceanographic and Atmospheric Processes (12 papers). Weiwei Fu collaborates with scholars based in United States, China and Denmark. Weiwei Fu's co-authors include J. Keith Moore, James T. Randerson, François Primeau, Keith Lindsay, Forrest M. Hoffman, N. M. Mahowald, Scott C. Doney, Gregory L. Britten, Matthew C. Long and Shiyu Zhuang and has published in prestigious journals such as Nature, Science and Geophysical Research Letters.

In The Last Decade

Weiwei Fu

26 papers receiving 951 citations

Hit Papers

Sustained climate warming drives declining marine biologi... 2018 2026 2020 2023 2018 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
Weiwei Fu United States 13 707 408 269 256 86 27 961
Marco Zavatarelli Italy 15 764 1.1× 447 1.1× 285 1.1× 180 0.7× 93 1.1× 31 979
José Garcés‐Vargas Chile 15 741 1.0× 415 1.0× 357 1.3× 216 0.8× 85 1.0× 42 1.0k
Aneesh A. Lotliker India 19 830 1.2× 374 0.9× 294 1.1× 135 0.5× 151 1.8× 89 1.1k
Eric Rehm United States 9 915 1.3× 282 0.7× 303 1.1× 142 0.6× 91 1.1× 20 1.1k
M. R. Hiscock United States 13 1.0k 1.5× 232 0.6× 383 1.4× 271 1.1× 110 1.3× 16 1.1k
Ivan Kuznetsov Germany 16 739 1.0× 270 0.7× 207 0.8× 231 0.9× 130 1.5× 38 906
Eko Siswanto Japan 19 910 1.3× 387 0.9× 256 1.0× 249 1.0× 116 1.3× 61 1.1k
Kevin L. Mahoney United States 6 534 0.8× 206 0.5× 350 1.3× 147 0.6× 101 1.2× 9 769
Arvind Singh India 20 775 1.1× 341 0.8× 383 1.4× 266 1.0× 137 1.6× 63 1.1k
Sinikka T. Lennartz Germany 15 495 0.7× 348 0.9× 294 1.1× 324 1.3× 106 1.2× 26 952

Countries citing papers authored by Weiwei Fu

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwei Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Weiwei Fu. A scholar is included among the top collaborators of Weiwei Fu 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 Weiwei Fu. Weiwei Fu 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.
Randerson, James T., Yue Li, Weiwei Fu, et al.. (2025). The weak land carbon sink hypothesis. Science Advances. 11(37). eadr5489–eadr5489.
2.
Wang, Wei‐Lei, Weiwei Fu, Frédéric A.C. Le Moigne, et al.. (2023). Biological carbon pump estimate based on multidecadal hydrographic data. Nature. 624(7992). 579–585. 29 indexed citations
3.
Garcia, Nathan S., David Talmy, Weiwei Fu, et al.. (2022). The Diel Cycle of Surface Ocean Elemental Stoichiometry has Implications for Ocean Productivity. Global Biogeochemical Cycles. 36(3). 7 indexed citations
5.
Fu, Weiwei & Wei‐Lei Wang. (2022). Biogeochemical Equilibrium Responses to Maximal Productivity in High Nutrient Low Chlorophyll Regions. Journal of Geophysical Research Biogeosciences. 127(5). 7 indexed citations
6.
Fu, Weiwei, J. Keith Moore, François Primeau, et al.. (2022). Evaluation of Ocean Biogeochemistry and Carbon Cycling in CMIP Earth System Models With the International Ocean Model Benchmarking (IOMB) Software System. Journal of Geophysical Research Oceans. 127(10). 23 indexed citations
7.
Fu, Weiwei, J. Keith Moore, François Primeau, Keith Lindsay, & James T. Randerson. (2020). A Growing Freshwater Lens in the Arctic Ocean With Sustained Climate Warming Disrupts Marine Ecosystem Function. Journal of Geophysical Research Biogeosciences. 125(12). 15 indexed citations
8.
Martiny, Adam C., Michael W. Lomas, Weiwei Fu, et al.. (2019). Biogeochemical controls of surface ocean phosphate. Science Advances. 5(8). eaax0341–eaax0341. 95 indexed citations
9.
Fu, Weiwei, et al.. (2019). Empirical Analysis of Trade Effects of China’s Outward FDI to Africa. 1 indexed citations
10.
Moore, J. Keith, Weiwei Fu, François Primeau, et al.. (2018). Sustained climate warming drives declining marine biological productivity. Science. 359(6380). 1139–1143. 308 indexed citations breakdown →
11.
Liu, Ye & Weiwei Fu. (2018). Assimilating high-resolution sea surface temperature data improves the ocean forecast potential in the Baltic Sea. Ocean science. 14(3). 525–541. 19 indexed citations
12.
Fu, Weiwei, François Primeau, J. Keith Moore, Keith Lindsay, & James T. Randerson. (2018). Reversal of Increasing Tropical Ocean Hypoxia Trends With Sustained Climate Warming. Global Biogeochemical Cycles. 32(4). 551–564. 42 indexed citations
13.
Fu, Weiwei & François Primeau. (2017). Application of a fast Newton–Krylov solver for equilibrium simulations of phosphorus and oxygen. Ocean Modelling. 119. 35–44. 5 indexed citations
14.
Fu, Weiwei, James T. Randerson, & J. Keith Moore. (2016). Climate change impacts on net primary production (NPP) and export production(EP) regulated by increasing stratification and phytoplankton communitystructure in the CMIP5 models. Biogeosciences. 13(18). 5151–5170. 192 indexed citations
15.
Madsen, Kristine S., Jacob L. Høyer, Weiwei Fu, & Craig Donlon. (2015). Blending of satellite and tide gauge sea level observations and its assimilation in a storm surge model of the North Sea and Baltic Sea. Journal of Geophysical Research Oceans. 120(9). 6405–6418. 35 indexed citations
16.
Fu, Weiwei. (2015). On the Role of Temperature and Salinity Data Assimilation to Constrain a Coupled Physical–Biogeochemical Model in the Baltic Sea. Journal of Physical Oceanography. 46(3). 713–729. 4 indexed citations
17.
Fu, Weiwei, Robert E. Dickinson, Li Gu, & Forrest M. Hoffman. (2012). Estimation of Terrestrial COS Uptake From a Global Carbon Cycle Model (CLM-4.0). AGUFM. 2012. 1 indexed citations
18.
Liu, Ye, Jiang Zhu, Jun She, et al.. (2009). Assimilating temperature and salinity profile observations using an anisotropic recursive filter in a coastal ocean model. Ocean Modelling. 30(2-3). 75–87. 23 indexed citations
19.
Fu, Weiwei, Guangqing Zhou, & Huijun Wang. (2004). Ocean data assimilation with background error covariance derived from OGCM outputs. Advances in Atmospheric Sciences. 21(2). 181–192. 7 indexed citations
20.
Zhou, Guangqing, Weiwei Fu, Jiang Zhu, & Huijun Wang. (2004). The impact of location‐dependent correlation scales in ocean data assimilation. Geophysical Research Letters. 31(21). 10 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026