Fengfei Song

3.5k total citations · 1 hit paper
80 papers, 2.5k citations indexed

About

Fengfei Song is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Fengfei Song has authored 80 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Global and Planetary Change, 70 papers in Atmospheric Science and 23 papers in Oceanography. Recurrent topics in Fengfei Song's work include Climate variability and models (77 papers), Meteorological Phenomena and Simulations (59 papers) and Tropical and Extratropical Cyclones Research (28 papers). Fengfei Song is often cited by papers focused on Climate variability and models (77 papers), Meteorological Phenomena and Simulations (59 papers) and Tropical and Extratropical Cyclones Research (28 papers). Fengfei Song collaborates with scholars based in China, United States and United Kingdom. Fengfei Song's co-authors include Tianjun Zhou, L. Ruby Leung, Yun Qian, Jian Lu, Lu Dong, Guang J. Zhang, Zhe Feng, Xiaolong Chen, Joseph Hardin and Cameron R. Homeyer and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Fengfei Song

75 papers receiving 2.5k citations

Hit Papers

Precipitation regime changes in High Mountain Asia driven... 2023 2026 2024 2025 2023 25 50 75

Peers

Fengfei Song
Comparison fields: 5 of 83
  • Global and Planetary Change 2.2k
  • Atmospheric Science 2.0k
  • Oceanography 503
  • Water Science and Technology 113
  • Ecology, Evolution, Behavior and Systematics 90
Replace Jong‐Ghap Jhun with:
Jong‐Ghap Jhun South Korea
Ziqian Wang China
Fumin Ren China
Jien‐Yi Tu Taiwan
Liwei Zou China
Camiel Severijns Netherlands
Alessio Bellucci Italy
Virginie Guémas France
Jong‐Ghap Jhun South Korea View profile →
Citations per field, relative to Fengfei Song
Fengfei Song · 1×
Citations per year, relative to Fengfei Song
Fengfei Song · 1×

Countries citing papers authored by Fengfei Song

Since Specialization
Citations

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

Fields of papers citing papers by Fengfei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengfei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Fengfei Song. A scholar is included among the top collaborators of Fengfei Song 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 Fengfei Song. Fengfei Song 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
# Work Indexed citations
1 0
2 2
3 5
4 10
5 4
6 9
7 9
8 4
9 50
10
Precipitation regime changes in High Mountain Asia driven by cleaner air breakdown →
88
11 5
12 14
13 11
14 55
15 22
16 17
17 37
18 22
19 21
20
Reliability of the 20CR Reanalysis Data in Measuring the East Asian Summer Monsoon Variability
5

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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