Juan Feng

3.2k total citations · 1 hit paper
93 papers, 2.4k citations indexed

About

Juan Feng is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Juan Feng has authored 93 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Global and Planetary Change, 63 papers in Atmospheric Science and 45 papers in Oceanography. Recurrent topics in Juan Feng's work include Climate variability and models (85 papers), Oceanographic and Atmospheric Processes (41 papers) and Meteorological Phenomena and Simulations (24 papers). Juan Feng is often cited by papers focused on Climate variability and models (85 papers), Oceanographic and Atmospheric Processes (41 papers) and Meteorological Phenomena and Simulations (24 papers). Juan Feng collaborates with scholars based in China, United States and South Korea. Juan Feng's co-authors include Jianping Li, Cheng Sun, Fei Xie, Fei Zheng, Jianlei Zhu, Jing Wang, Fei‐Fei Jin, Wei Qin, Lihua Zeng and Ruiqiang Ding and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Climate.

In The Last Decade

Juan Feng

83 papers receiving 2.4k citations

Hit Papers

Global Monsoon Dynamics and Climate Change 2014 2026 2018 2022 2014 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Global Monsoon Dynamics and Climate Change
    2014 435 citations Jianping Li, Juan Feng et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan Feng China 26 1.7k 1.7k 685 144 133 93 2.4k
Michio Kawamiya Japan 24 2.3k 1.3× 1.6k 1.0× 886 1.3× 151 1.0× 432 3.2× 77 3.3k
Aldo Montecinos Chile 21 1.4k 0.8× 1.1k 0.7× 583 0.9× 114 0.8× 290 2.2× 36 2.2k
Sloan Coats United States 26 2.2k 1.3× 1.4k 0.9× 287 0.4× 119 0.8× 231 1.7× 56 2.8k
Annarita Mariotti United States 25 2.9k 1.7× 1.8k 1.1× 806 1.2× 130 0.9× 303 2.3× 50 3.6k
Peter van Rensch Australia 16 2.3k 1.4× 1.6k 1.0× 1.0k 1.5× 67 0.5× 417 3.1× 22 3.1k
G. B. Pant India 23 2.1k 1.2× 1.7k 1.0× 270 0.4× 99 0.7× 121 0.9× 52 2.6k
Aurore Voldoire France 29 2.8k 1.6× 2.0k 1.2× 879 1.3× 65 0.5× 236 1.8× 72 3.3k
Huei‐Ping Huang United States 18 1.9k 1.1× 1.3k 0.8× 465 0.7× 141 1.0× 543 4.1× 46 3.0k
Andréa S. Taschetto Australia 28 3.0k 1.7× 2.3k 1.4× 1.6k 2.4× 73 0.5× 371 2.8× 78 3.7k
Nili Harnik Israel 24 3.0k 1.8× 2.5k 1.5× 612 0.9× 133 0.9× 542 4.1× 58 3.9k

Countries citing papers authored by Juan Feng

Since Specialization
Citations

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

Fields of papers citing papers by Juan Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Feng. A scholar is included among the top collaborators of Juan Feng 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 Juan Feng. Juan Feng 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.
Lian, Tao, et al.. (2025). Reassessing the ENSO-related Hadley circulation contraction from a regional perspective. Atmospheric Research. 321. 108085–108085.
2.
3.
Feng, Juan, et al.. (2025). Distinct Hadley circulation attributable to rapid and slow El Niño decay and its regional impacts. npj Climate and Atmospheric Science. 8(1).
4.
Feng, Juan, et al.. (2024). Can CMIP6 models reproduce the influence of ENSO on the variability of boreal winter Hadley Circulation?. Atmospheric Research. 309. 107588–107588.
5.
Feng, Juan, et al.. (2023). Simulation of the long-term variability of the Hadley circulation in CMIP6 models. Atmospheric Research. 287. 106716–106716. 1 indexed citations
6.
Li, Yan, et al.. (2023). Influence of the previous North Atlantic Oscillation (NAO) on the spring dust aerosols over North China. Atmospheric chemistry and physics. 23(10). 6021–6042. 4 indexed citations
7.
Li, Xichen, et al.. (2023). Uncertainties of ENSO-related Regional Hadley Circulation Anomalies within Eight Reanalysis Datasets. Advances in Atmospheric Sciences. 41(1). 115–140. 3 indexed citations
8.
9.
Feng, Juan, Jianlei Zhu, Jianping Li, & Hong Liao. (2020). Aerosol concentrations variability over China: two distinct leading modes. Atmospheric chemistry and physics. 20(16). 9883–9893. 12 indexed citations
10.
Feng, Juan, Jianping Li, Hong Liao, & Jianlei Zhu. (2019). Simulated coordinated impacts of the NAO and El Niño on aerosol concentrations over eastern China. 4 indexed citations
11.
Feng, Juan, Jianping Li, Hong Liao, & Jianlei Zhu. (2019). Simulated coordinated impacts of the previous autumn North Atlantic Oscillation (NAO) and winter El Niño on winter aerosol concentrations over eastern China. Atmospheric chemistry and physics. 19(16). 10787–10800. 28 indexed citations
12.
Li, Yan, et al.. (2017). Simulation and Projection of Blocking Highs in Key Regions of Eurasia by CMIP5 Models. Journal of the Meteorological Society of Japan Ser II. 95(2). 147–165. 8 indexed citations
13.
Feng, Juan, Jianping Li, Yaqi Wang, & Yipeng Guo. (2017). Decreased Response Contrast of Hadley Circulation to the Equatorially Asymmetric and Symmetric Tropical SST Structures during the Recent Hiatus. SOLA. 13(0). 181–185. 4 indexed citations
14.
15.
Feng, Juan, Jianping Li, Fei Zheng, Fei Xie, & Cheng Sun. (2016). Contrasting Impacts of Developing Phases of Two Types of El Niño on Southern China Rainfall. Journal of the Meteorological Society of Japan Ser II. 94(4). 359–370. 36 indexed citations
16.
Ji, Duoying, L. Wang, Juan Feng, et al.. (2014). Description and basic evaluation of BNU-ESM version 1. 36 indexed citations
17.
Ji, Duoying, L. Wang, Juan Feng, et al.. (2014). Description and basic evaluation of Beijing Normal University Earth System Model (BNU-ESM) version 1. Geoscientific model development. 7(5). 2039–2064. 211 indexed citations
18.
Feng, Juan, et al.. (2013). Impact of Preceding Summer North Atlantic Oscillation on Early Autumn Precipitation over Central China. Atmospheric and Oceanic Science Letters. 6(6). 417–422. 4 indexed citations
19.
Feng, Juan, et al.. (2012). Influence of the preceding winter Northern Hemisphere annular mode on the spring extreme low temperature events in the north of eastern China. EGU General Assembly Conference Abstracts. 6750. 1 indexed citations
20.
Feng, Juan, et al.. (2010). Impact of central equatorial Pacific SSTA pattern on precipitation and temperature in East China in summer.. 33(5). 547–554. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Michio Kawamiya Breakdown of academic impact, for papers by Aldo Montecinos Breakdown of academic impact, for papers by Sloan Coats Breakdown of academic impact, for papers by Annarita Mariotti Breakdown of academic impact, for papers by Peter van Rensch Breakdown of academic impact, for papers by G. B. Pant Breakdown of academic impact, for papers by Aurore Voldoire Breakdown of academic impact, for papers by Huei‐Ping Huang Breakdown of academic impact, for papers by Andréa S. Taschetto Breakdown of academic impact, for papers by Nili Harnik
Rankless by CCL
2026