Kefeng Zhu

1.3k total citations
52 papers, 951 citations indexed

About

Kefeng Zhu is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Kefeng Zhu has authored 52 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Atmospheric Science, 45 papers in Global and Planetary Change and 9 papers in Environmental Engineering. Recurrent topics in Kefeng Zhu's work include Meteorological Phenomena and Simulations (47 papers), Climate variability and models (42 papers) and Precipitation Measurement and Analysis (15 papers). Kefeng Zhu is often cited by papers focused on Meteorological Phenomena and Simulations (47 papers), Climate variability and models (42 papers) and Precipitation Measurement and Analysis (15 papers). Kefeng Zhu collaborates with scholars based in China, United States and Canada. Kefeng Zhu's co-authors include Ming Xue, Bowen Zhou, Yuehan Zhang, Kun Zhao, Jianfang Fei, Xia Luo, Liping Luo, Yuan Wang, Xin Xu and Stanley G. Benjamin and has published in prestigious journals such as Geophysical Research Letters, Journal of the Atmospheric Sciences and Monthly Weather Review.

In The Last Decade

Kefeng Zhu

51 papers receiving 933 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kefeng Zhu China 17 861 835 125 45 42 52 951
Linda Schlemmer Switzerland 16 878 1.0× 844 1.0× 154 1.2× 32 0.7× 63 1.5× 32 981
Shenming Fu China 19 961 1.1× 932 1.1× 37 0.3× 52 1.2× 63 1.5× 84 1.1k
Kohei Aranami Japan 7 751 0.9× 651 0.8× 103 0.8× 27 0.6× 136 3.2× 9 866
Thomas Schwitalla Germany 16 557 0.6× 544 0.7× 86 0.7× 46 1.0× 55 1.3× 39 669
B. Denis Canada 15 960 1.1× 915 1.1× 73 0.6× 44 1.0× 80 1.9× 18 1.0k
Ryoji Nagasawa Japan 5 559 0.6× 493 0.6× 69 0.6× 20 0.4× 107 2.5× 6 644
Louisa Nance United States 13 673 0.8× 482 0.6× 120 1.0× 20 0.4× 66 1.6× 24 726
Josée Morneau Canada 8 530 0.6× 502 0.6× 105 0.8× 23 0.5× 53 1.3× 8 579
Hisaki Eito Japan 8 574 0.7× 468 0.6× 60 0.5× 17 0.4× 101 2.4× 14 636
Zachary J. Lebo United States 18 1.0k 1.2× 993 1.2× 97 0.8× 20 0.4× 14 0.3× 49 1.1k

Countries citing papers authored by Kefeng Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Kefeng Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kefeng Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Kefeng Zhu. A scholar is included among the top collaborators of Kefeng Zhu 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 Kefeng Zhu. Kefeng Zhu 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.
Xue, Ming, et al.. (2024). Initiation of prefrontal convection within a Northeast China cold vortex: The roles of elevated front and dry air intrusion. Quarterly Journal of the Royal Meteorological Society. 150(765). 5284–5304.
2.
Zhang, Bing, Mingjian Zeng, Anning Huang, et al.. (2024). A general comprehensive evaluation method for cross-scale precipitation forecasts. Geoscientific model development. 17(11). 4579–4601. 2 indexed citations
3.
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5.
Zhu, Kefeng, et al.. (2023). How Well Does 4‐km WRF Model Predict Three‐Dimensional Reflectivity Structure Over China as Compared to Radar Observations?. Journal of Geophysical Research Atmospheres. 128(7). 4 indexed citations
6.
7.
Zhu, Kefeng, Kun Zhao, Xingchao Chen, et al.. (2023). Evaluation and Error Source Analysis of Convection‐Permitting Forecasts for Localized Nocturnal Rainfall Over a Complex Mountainous Region in Pearl River Delta, South China. Journal of Geophysical Research Atmospheres. 128(21). 4 indexed citations
8.
Cai, Shuxin, Anning Huang, Kefeng Zhu, et al.. (2021). Diurnal cycle of summer precipitation over the Eastern Tibetan Plateau and surrounding regions simulated in a convection-permitting model. Climate Dynamics. 57(1-2). 611–632. 21 indexed citations
9.
Zhu, Kefeng, et al.. (2021). Summer Season Precipitation Biases in 4 km WRF Forecasts Over Southern China: Diagnoses of the Causes of Biases. Journal of Geophysical Research Atmospheres. 126(23). 10 indexed citations
10.
Zhu, Kefeng, et al.. (2020). Assimilating polarimetric radar data with an ensemble Kalman filter: OSSEs with a tornadic supercell storm simulated with a two‐moment microphysics scheme. Quarterly Journal of the Royal Meteorological Society. 146(729). 1880–1900. 13 indexed citations
11.
Zhang, Yuehan, Ming Xue, Kefeng Zhu, & Bowen Zhou. (2019). What Is the Main Cause of Diurnal Variation and Nocturnal Peak of Summer Precipitation in Sichuan Basin, China? The Key Role of Boundary Layer Low‐Level Jet Inertial Oscillations. Journal of Geophysical Research Atmospheres. 124(5). 2643–2664. 102 indexed citations
12.
Zhu, Kefeng, Ming Xue, Ming Hu, et al.. (2019). The Impact of Satellite Radiance Data Assimilation within a Frequently Updated Regional Forecast System Using a GSI-based Ensemble Kalman Filter. Advances in Atmospheric Sciences. 36(12). 1308–1326. 12 indexed citations
13.
Xue, Ming, et al.. (2018). The Controlling Role of Boundary Layer Inertial Oscillations in Meiyu Frontal Precipitation and Its Diurnal Cycles Over China. Journal of Geophysical Research Atmospheres. 123(10). 5090–5115. 97 indexed citations
14.
Luo, Liping, Ming Xue, Kefeng Zhu, & Bowen Zhou. (2018). Explicit Prediction of Hail in a Long-Lasting Multicellular Convective System in Eastern China Using Multimoment Microphysics Schemes. Journal of the Atmospheric Sciences. 75(9). 3115–3137. 20 indexed citations
15.
Zhou, Bowen, Ming Xue, & Kefeng Zhu. (2017). A Grid-Refinement-Based Approach for Modeling the Convective Boundary Layer in the Gray Zone: A Pilot Study. Journal of the Atmospheric Sciences. 74(11). 3497–3513. 15 indexed citations
16.
Tseng, Kuo‐Hsin, C. K. Shum, Jin‐Woo Kim, et al.. (2016). Integrating Landsat Imageries and Digital Elevation Models to Infer Water Level Change in Hoover Dam. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(4). 1696–1709. 47 indexed citations
17.
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Zhu, Kefeng, Yi Yang, & Ming Xue. (2015). Percentile-based neighborhood precipitation verification and its application to a landfalling tropical storm case with radar data assimilation. Advances in Atmospheric Sciences. 32(11). 1449–1459. 9 indexed citations
19.
Zhou, Yushu, Kefeng Zhu, & Zhe Zhang. (2014). Anomaly of the Moist Potential Vorticity Substance with Mass Forcing and Its Application in Diagnosing Mei-Yu Front Rainfall. Atmospheric and Oceanic Science Letters. 8(1). 39–44. 1 indexed citations
20.
Zhu, Kefeng, Ming Xue, Xuguang Wang, et al.. (2014). A GSI-Based Coupled EnSRF–En3DVar Hybrid Data Assimilation System for the Operational Rapid Refresh Model: Tests at a Reduced Resolution. Monthly Weather Review. 142(10). 3756–3780. 57 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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