Feiyu Lu

1.3k total citations
42 papers, 650 citations indexed

About

Feiyu Lu is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Feiyu Lu has authored 42 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Atmospheric Science, 32 papers in Global and Planetary Change and 11 papers in Oceanography. Recurrent topics in Feiyu Lu's work include Climate variability and models (32 papers), Meteorological Phenomena and Simulations (24 papers) and Oceanographic and Atmospheric Processes (10 papers). Feiyu Lu is often cited by papers focused on Climate variability and models (32 papers), Meteorological Phenomena and Simulations (24 papers) and Oceanographic and Atmospheric Processes (10 papers). Feiyu Lu collaborates with scholars based in United States, China and Japan. Feiyu Lu's co-authors include Zhengyu Liu, Shaoqing Zhang, Yun Liu, Thomas L. Delworth, Robert Jacob, Xiaosong Yang, Liwei Jia, Mitchell Bushuk, Colleen McHugh and Nathaniel C. Johnson and has published in prestigious journals such as Journal of Climate, Geophysical Research Letters and Monthly Weather Review.

In The Last Decade

Feiyu Lu

39 papers receiving 641 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Feiyu Lu United States	15	486	474	231	44	24	42	650
D. Ivanova United States	10	315 0.6×	380 0.8×	192 0.8×	10 0.2×	17 0.7×	22	529
S. Pezzulli United Kingdom	7	302 0.6×	350 0.7×	84 0.4×	16 0.4×	27 1.1×	9	481
Salil Mahajan United States	13	531 1.1×	541 1.1×	151 0.7×	17 0.4×	12 0.5×	36	645
Guangjun Xu China	10	144 0.3×	176 0.4×	363 1.6×	9 0.2×	13 0.5×	31	456
Christophe Accadia Germany	12	514 1.1×	422 0.9×	129 0.6×	6 0.1×	33 1.4×	30	631
Zenghong Liu China	12	189 0.4×	173 0.4×	361 1.6×	6 0.1×	10 0.4×	33	439
Carlos Mejía France	10	114 0.2×	141 0.3×	302 1.3×	6 0.1×	26 1.1×	33	452
Shuangshang Zhang China	7	118 0.2×	80 0.2×	280 1.2×	16 0.4×	17 0.7×	17	435
Tim Hewson United Kingdom	18	1.0k 2.1×	917 1.9×	174 0.8×	35 0.8×	41 1.7×	32	1.1k
Hongyang Lin China	13	121 0.2×	176 0.4×	347 1.5×	8 0.2×	12 0.5×	53	487

Countries citing papers authored by Feiyu Lu

Since Specialization

Citations

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

Fields of papers citing papers by Feiyu Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feiyu Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Feiyu Lu. A scholar is included among the top collaborators of Feiyu Lu 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 Feiyu Lu. Feiyu Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Murakami, Hiroyuki, Thomas L. Delworth, Nathaniel C. Johnson, et al.. (2025). Seasonal Forecasts of Tropical Cyclones Using GFDL SPEAR and HiFLOR-S. Journal of Climate. 38(9). 2015–2030.

Lu, Feiyu. (2025). U‐Net Kalman Filter (UNetKF): An Example of Machine Learning‐Assisted Data Assimilation. Journal of Advances in Modeling Earth Systems. 17(4).

Lu, Feiyu, et al.. (2025). A Spatiotemporal Attention-Guided Graph Neural Network for Precise Hyperspectral Estimation of Corn Nitrogen Content. Agronomy. 15(5). 1041–1041. 1 indexed citations

Zhang, Lexin, et al.. (2024). Enhancing Fruit Fly Detection in Complex Backgrounds Using Transformer Architecture with Step Attention Mechanism. Agriculture. 14(3). 490–490. 1 indexed citations

Yang, Xiaosong, Thomas L. Delworth, Liwei Jia, et al.. (2024). Skillful seasonal prediction of wind energy resources in the contiguous United States. Communications Earth & Environment. 5(1). 12 indexed citations

Jia, Liwei, Thomas L. Delworth, Xiaosong Yang, et al.. (2024). Seasonal predictions of summer compound humid heat extremes in the southeastern United States driven by sea surface temperatures. npj Climate and Atmospheric Science. 7(1). 5 indexed citations

Stock, Charles A., et al.. (2024). Dynamically downscaled seasonal ocean forecasts for North American east coast ecosystems. Ocean science. 20(6). 1631–1656. 3 indexed citations

Liu, Zhengyu, et al.. (2023). Reconstruction of Past Antarctic Temperature Using Present Seasonal δ18O–Inversion Layer Temperature: Unified Slope Equations and Applications. Journal of Climate. 36(9). 2933–2957. 5 indexed citations

Zhang, Liping, Thomas L. Delworth, Xiaosong Yang, et al.. (2023). Skillful decadal prediction skill over the Southern Ocean based on GFDL SPEAR Model-Analogs. Environmental Research Communications. 5(2). 21002–21002. 4 indexed citations

10.

Tseng, Kai‐Chih, Nathaniel C. Johnson, Sarah Kapnick, et al.. (2022). When Will Humanity Notice Its Influence on Atmospheric Rivers?. Journal of Geophysical Research Atmospheres. 127(9). 9 indexed citations

11.

Zhang, Liping, Thomas L. Delworth, Xiaosong Yang, et al.. (2022). The relative role of the subsurface Southern Ocean in driving negative Antarctic Sea ice extent anomalies in 2016–2021. Communications Earth & Environment. 3(1). 47 indexed citations

12.

Zhang, Yongfei, Mitchell Bushuk, Michael Winton, et al.. (2022). Subseasonal-to-Seasonal Arctic Sea Ice Forecast Skill Improvement from Sea Ice Concentration Assimilation. Journal of Climate. 35(13). 4233–4252. 16 indexed citations

13.

Jia, Liwei, Thomas L. Delworth, Sarah Kapnick, et al.. (2022). Skillful Seasonal Prediction of North American Summertime Heat Extremes. Journal of Climate. 35(13). 4331–4345. 15 indexed citations

14.

Bushuk, Mitchell, Michael Winton, F. Alexander Haumann, et al.. (2021). Seasonal Prediction and Predictability of Regional Antarctic Sea Ice. Journal of Climate. 34(15). 6207–6233. 35 indexed citations

15.

Zhang, Gan, Hiroyuki Murakami, William Cooke, et al.. (2021). Seasonal predictability of baroclinic wave activity. npj Climate and Atmospheric Science. 4(1). 12 indexed citations

16.

Tseng, Kai‐Chih, Nathaniel C. Johnson, Sarah Kapnick, et al.. (2021). Are Multiseasonal Forecasts of Atmospheric Rivers Possible?. Geophysical Research Letters. 48(17). 21 indexed citations

17.

Lu, Feiyu, Matthew Harrison, Anthony Rosati, et al.. (2020). GFDL's SPEAR Seasonal Prediction System: Initialization and Ocean Tendency Adjustment (OTA) for Coupled Model Predictions. Journal of Advances in Modeling Earth Systems. 12(12). 50 indexed citations

18.

Zhang, Shaoqing, Stephen Yeager, Gökhan Danabasoglu, et al.. (2020). Impact of Coherent Ocean Stratification on AMOC Reconstruction by Coupled Data Assimilation with a Biased Model. Journal of Climate. 33(17). 7319–7334. 4 indexed citations

19.

Lu, Feiyu, Zhengyu Liu, Shaoqing Zhang, & Robert Jacob. (2017). Assessing extratropical impact on the tropical bias in coupled climate model with regional coupled data assimilation. Geophysical Research Letters. 44(7). 3384–3392. 7 indexed citations

20.

Liu, Yun, Zhengyu Liu, Shaoqing Zhang, et al.. (2014). Ensemble-Based Parameter Estimation in a Coupled GCM Using the Adaptive Spatial Average Method*. Journal of Climate. 27(11). 4002–4014. 28 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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