Jian‐Feng Gu

556 total citations
40 papers, 392 citations indexed

About

Jian‐Feng Gu is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Jian‐Feng Gu has authored 40 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Atmospheric Science, 25 papers in Global and Planetary Change and 12 papers in Oceanography. Recurrent topics in Jian‐Feng Gu's work include Meteorological Phenomena and Simulations (24 papers), Tropical and Extratropical Cyclones Research (24 papers) and Climate variability and models (20 papers). Jian‐Feng Gu is often cited by papers focused on Meteorological Phenomena and Simulations (24 papers), Tropical and Extratropical Cyclones Research (24 papers) and Climate variability and models (20 papers). Jian‐Feng Gu collaborates with scholars based in China, United Kingdom and United States. Jian‐Feng Gu's co-authors include Zhe‐Min Tan, Xin Qiu, Yuqing Wang, Robert S. Plant, Qingnong Xiao, Christopher E. Holloway, Dale Barker, Robert F. Rogers, Ying‐Hwa Kuo and Xiaomin Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Journal of Climate.

In The Last Decade

Jian‐Feng Gu

38 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian‐Feng Gu China 12 349 258 121 26 17 40 392
Yu‐Chieng Liou Taiwan 15 632 1.8× 438 1.7× 88 0.7× 90 3.5× 8 0.5× 45 669
Runhua Yang China 7 228 0.7× 229 0.9× 51 0.4× 40 1.5× 12 0.7× 23 311
Sungduk Yu United States 9 151 0.4× 175 0.7× 104 0.9× 12 0.5× 3 0.2× 19 272
S. Cosma France 7 325 0.9× 279 1.1× 24 0.2× 52 2.0× 20 1.2× 11 378
Jiaxi Hu United States 10 363 1.0× 315 1.2× 23 0.2× 44 1.7× 26 1.5× 22 414
Haozhe He United States 8 287 0.8× 294 1.1× 137 1.1× 8 0.3× 5 0.3× 11 357
Hai Bui Norway 7 255 0.7× 197 0.8× 68 0.6× 15 0.6× 7 0.4× 14 267
Vineel Yettella United States 8 492 1.4× 506 2.0× 74 0.6× 9 0.3× 2 0.1× 8 565
Patrick Duplessis Canada 8 230 0.7× 177 0.7× 35 0.3× 21 0.8× 1 0.1× 10 276
David Jorgensen United States 5 247 0.7× 154 0.6× 96 0.8× 17 0.7× 9 0.5× 7 264

Countries citing papers authored by Jian‐Feng Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jian‐Feng Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian‐Feng Gu. 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 Jian‐Feng Gu. The network helps show where Jian‐Feng Gu may publish in the future.

Co-authorship network of co-authors of Jian‐Feng Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Jian‐Feng Gu. A scholar is included among the top collaborators of Jian‐Feng Gu 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 Jian‐Feng Gu. Jian‐Feng Gu 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.
Han, Wei, et al.. (2025). Assimilation of FY‐3G Ku‐band radar observations with 1D Bayesian retrieval and 3DVAR in CMA‐MESO. Quarterly Journal of the Royal Meteorological Society. 151(770). 1 indexed citations
2.
Zang, Yunhao, et al.. (2025). Selective regulation of indium-guided CO2 hydrogenation over CeO2/Ni inverse catalysts: Insights into interface-activity relationship and dual redox mechanism. International Journal of Hydrogen Energy. 109. 295–305. 3 indexed citations
3.
Fang, Juan, et al.. (2024). Diversity of Tropical Cyclones Rapid Intensification. Geophysical Research Letters. 51(13). 1 indexed citations
4.
Lavender, Sally L., Michael Whitall, R. A. Stratton, et al.. (2024). The use of idealised experiments in testing a new convective parametrization: Performance of CoMorph‐A. Quarterly Journal of the Royal Meteorological Society. 150(760). 1581–1600. 7 indexed citations
5.
Lei, Lili, et al.. (2024). Understanding the initial conditions contributing to the rapid intensification of typhoons through ensemble sensitivity analysis. Atmospheric and Oceanic Science Letters. 18(2). 100552–100552.
6.
Gu, Jian‐Feng, Robert S. Plant, & Christopher E. Holloway. (2024). Connections Between Sub‐Cloud Coherent Updrafts and the Life Cycle of Maritime Shallow Cumulus Clouds in Large Eddy Simulation. Journal of Advances in Modeling Earth Systems. 16(10). 1 indexed citations
7.
8.
Liu, Qingdong, et al.. (2024). Martensitic transformation of reversed austenite in a low-carbon 7Ni steel. Philosophical Magazine Letters. 104(1).
9.
Gu, Jian‐Feng, Robert S. Plant, Christopher E. Holloway, & Peter Clark. (2024). The moist halo region around shallow cumulus clouds in large eddy simulations. Quarterly Journal of the Royal Meteorological Society. 150(760). 1501–1517. 1 indexed citations
10.
Satoh, Masaki, Jian‐Feng Gu, Lili Lei, et al.. (2023). Predictability of the Most Long‐Lived Tropical Cyclone Freddy (2023) During Its Westward Journey Through the Southern Tropical Indian Ocean. Geophysical Research Letters. 50(20). 8 indexed citations
11.
Chen, Xiaomin, Christopher M. Rozoff, Robert F. Rogers, et al.. (2023). Research advances on internal processes affecting tropical cyclone intensity change from 2018–2022. SHILAP Revista de lepidopterología. 12(1). 10–29. 10 indexed citations
12.
Wang, Yuqing, et al.. (2021). Intensity Change of Binary Tropical Cyclones (TCs) in Idealized Numerical Simulations: Two Initially Identical Mature TCs. Journal of the Atmospheric Sciences. 78(4). 1001–1020. 11 indexed citations
13.
Gu, Jian‐Feng, et al.. (2020). Pressure Drag for Shallow Cumulus Clouds: From Thermals to the Cloud Ensemble. Geophysical Research Letters. 47(22). 12 indexed citations
14.
Gu, Jian‐Feng, Zhe‐Min Tan, & Xin Qiu. (2019). Intensification Variability of Tropical Cyclones in Directional Shear Flows: Vortex Tilt–Convection Coupling. Journal of the Atmospheric Sciences. 76(6). 1827–1844. 23 indexed citations
15.
Gu, Jian‐Feng, Zhe‐Min Tan, & Xin Qiu. (2018). The Evolution of Vortex Tilt and Vertical Motion of Tropical Cyclones in Directional Shear Flows. Journal of the Atmospheric Sciences. 75(10). 3565–3578. 23 indexed citations
16.
Gu, Jian‐Feng, Zhe‐Min Tan, & Xin Qiu. (2014). Effects of Vertical Wind Shear on Inner-Core Thermodynamics of an Idealized Simulated Tropical Cyclone. Journal of the Atmospheric Sciences. 72(2). 511–530. 41 indexed citations
17.
Xiao, Qingnong, et al.. (2011). A forecast sensitivity study on the intensity change of Typhoon Sinlaku (2008). Journal of Geophysical Research Atmospheres. 116(D22). n/a–n/a. 6 indexed citations
18.
Ding, Yang, Shiyu Zhuang, & Jian‐Feng Gu. (2010). Assimilation of Observed Surface Wind with GRAPES. 16(1). 96–100. 1 indexed citations
19.
Gu, Jian‐Feng, et al.. (2005). Assimilation and simulation of typhoon Rusa (2002) using the WRF system. Advances in Atmospheric Sciences. 22(3). 415–427. 39 indexed citations
20.
Gu, Jian‐Feng. (1993). Determination of nonuniform heat flux density on boundary in inverse heat conduction problem. Wärme- und Stoffübertragung. 28(3). 117–122. 2 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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