Feifan Zhou

554 total citations
25 papers, 413 citations indexed

About

Feifan Zhou is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Feifan Zhou has authored 25 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atmospheric Science, 18 papers in Global and Planetary Change and 3 papers in Oceanography. Recurrent topics in Feifan Zhou's work include Meteorological Phenomena and Simulations (17 papers), Climate variability and models (16 papers) and Tropical and Extratropical Cyclones Research (16 papers). Feifan Zhou is often cited by papers focused on Meteorological Phenomena and Simulations (17 papers), Climate variability and models (16 papers) and Tropical and Extratropical Cyclones Research (16 papers). Feifan Zhou collaborates with scholars based in China, Japan and United States. Feifan Zhou's co-authors include Mu Mu, Wansuo Duan, Hongli Wang, Shijin Yuan, Cheng Wang, Zoltán Tóth, Bin Mu, Rudi Xia, Shuai Yang and Haoming Chen and has published in prestigious journals such as Monthly Weather Review, Bulletin of the American Meteorological Society and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Feifan Zhou

23 papers receiving 398 citations

Peers

Feifan Zhou

GPC

OCEAN

EEE

K. B. Robertson United Kingdom

Zhina Jiang China

Marie C. McGraw United States

John Manobianco United States

Syugo Hayashi Japan

G. Candille Canada

Chin–Tzu Fong Taiwan

Kirsti Salonen Finland

P. K. Thapliyal India

Wu-Ron Hsu United States

K. B. Robertson United Kingdom

Feifan Zhou

447 ×1.2

441 ×1.4

GPC

50 ×0.5

OCEAN

72 ×1.6

7 ×0.4

EEE

Citations per year, relative to Feifan Zhou Feifan Zhou (= 1×) peers K. B. Robertson

Countries citing papers authored by Feifan Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Feifan Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feifan Zhou

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhou, Feifan, Tiedong Wang, Yijing Li, et al.. (2025). Battery Pack Temperature Distribution Prediction Using Physics-Informed Neural Network and Limited Sensors. 362–366.

Zhou, Feifan, et al.. (2024). Reasons for Different Predictability of Tropical Cyclone Tracks in the Western North Pacific and Atlantic Oceans. Bulletin of the American Meteorological Society. 105(12). E2263–E2282.

Feng, Jie, et al.. (2023). Spatiotemporal estimation of analysis errors in the operational global data assimilation system at the China Meteorological Administration using a modified SAFE method. Quarterly Journal of the Royal Meteorological Society. 149(755). 2301–2319. 4 indexed citations

Mu, Bin, et al.. (2022). Ensemble Forecast for Tropical Cyclone Based on CNOP-P Method: A Case Study of WRF Model and Two Typhoons. Journal of Tropical Meteorology. 28(2). 121–138. 1 indexed citations

Yuan, Shijin, et al.. (2021). Typhoon Intensity Forecasting Based on LSTM Using the Rolling Forecast Method. Algorithms. 14(3). 83–83. 41 indexed citations

Zhou, Feifan & Zoltán Tóth. (2020). On the Prospects for Improved Tropical Cyclone Track Forecasts. Bulletin of the American Meteorological Society. 101(12). E2058–E2077. 11 indexed citations

Luo, Yali, Jisong Sun, Ying Li, et al.. (2020). Science and Prediction of Heavy Rainfall over China: Research Progress since the Reform and Opening-Up of New China. Journal of Meteorological Research. 34(3). 427–459. 62 indexed citations

Yuan, Shijin, et al.. (2018). A novel approach for solving CNOPs and its application in identifying sensitive regions of tropical cyclone adaptive observations. Nonlinear processes in geophysics. 25(3). 693–712. 4 indexed citations

Zhou, Feifan, Wansuo Duan, He Zhang, & Munehiko Yamaguchi. (2018). Possible Sources of Forecast Errors Generated by the Global/Regional Assimilation and Prediction System for Landfalling Tropical Cyclones. Part II: Model Uncertainty. Advances in Atmospheric Sciences. 35(10). 1277–1290. 1 indexed citations

10.

Duan, Wansuo, et al.. (2018). Ensemble Forecasts of Tropical Cyclone Track with Orthogonal Conditional Nonlinear Optimal Perturbations. Advances in Atmospheric Sciences. 36(2). 231–247. 16 indexed citations

11.

Zhou, Feifan, et al.. (2016). Possible sources of forecast errors generated by the global/regional assimilation and prediction system for landfalling tropical cyclones. Part I: Initial uncertainties. Advances in Atmospheric Sciences. 33(7). 841–851. 3 indexed citations

12.

Gao, Shouting, et al.. (2016). The mesoscale balance and imbalance and the corresponding potential vorticity inversion from the view of helicity. Journal of Meteorological Research. 30(4). 559–571. 1 indexed citations

13.

Zhou, Feifan, et al.. (2015). The adjoint sensitivity of heavy rainfall to initial conditions in debris flow areas in China. Atmospheric Science Letters. 16(4). 485–491. 6 indexed citations

14.

Duan, Wansuo & Feifan Zhou. (2013). Non-linear forcing singular vector of a two-dimensional quasi-geostrophic model. Tellus A Dynamic Meteorology and Oceanography. 65(1). 18452–18452. 56 indexed citations

15.

Zhou, Feifan, Ruiqiang Ding, Guolin Feng, Zuntao Fu, & Wansuo Duan. (2012). Progress in the study of nonlinear atmospheric dynamics and predictability of weather and climate in China (2007–2011). Advances in Atmospheric Sciences. 29(5). 1048–1062. 1 indexed citations

16.

Zhou, Feifan & Mu Mu. (2012). The time and regime dependencies of sensitive areas for tropical cyclone prediction using the CNOP method. Advances in Atmospheric Sciences. 29(4). 705–716. 16 indexed citations

17.

Zhou, Feifan & Mu Mu. (2011). The impact of horizontal resolution on the CNOP and on its identified sensitive areas for tropical cyclone predictions. Advances in Atmospheric Sciences. 29(1). 36–46. 19 indexed citations

18.

Zhou, Feifan & Mu Mu. (2011). The impact of verification area design on tropical cyclone targeted observations based on the CNOP method. Advances in Atmospheric Sciences. 28(5). 997–1010. 33 indexed citations

19.

Zhou, Feifan. (2010). The Study of Conditional Nonlinear Optimal Perturbation's Application in Typhoon Over the South China Sea. 2 indexed citations

20.

Mu, Mu, Feifan Zhou, & Hongli Wang. (2008). A Method for Identifying the Sensitive Areas in Targeted Observations for Tropical Cyclone Prediction: Conditional Nonlinear Optimal Perturbation. Monthly Weather Review. 137(5). 1623–1639. 116 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