Congxi Fang

29 total papers · 520 total citations
23 papers, 192 citations indexed

About

Congxi Fang is a scholar working on Atmospheric Science, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Congxi Fang has authored 23 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atmospheric Science, 20 papers in Global and Planetary Change and 3 papers in Water Science and Technology. Recurrent topics in Congxi Fang's work include Tree-ring climate responses (16 papers), Plant Water Relations and Carbon Dynamics (13 papers) and Climate variability and models (13 papers). Congxi Fang is often cited by papers focused on Tree-ring climate responses (16 papers), Plant Water Relations and Carbon Dynamics (13 papers) and Climate variability and models (13 papers). Congxi Fang collaborates with scholars based in China, Japan and Sweden. Congxi Fang's co-authors include Huiming Song, Changfeng Sun, Qiang Li, Yu Liu, Qiufang Cai, Ruoshi Liu, Lu Wang, Ruochen Mei, Takeshi Nakatsuka and Hanyu Zhang and has published in prestigious journals such as The Science of The Total Environment, Water Resources Research and Quaternary Science Reviews.

In The Last Decade

Congxi Fang

22 papers receiving 188 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Congxi Fang	160	154	24	16	13	23	192
Kenshi Hibino	185 1.2×	207 1.3×	27 1.1×	10 0.6×	11 0.8×	19	287
Kristina Sohar	159 1.0×	147 1.0×	103 4.3×	21 1.3×	9 0.7×	16	233
Gene L. Wooldridge	55 0.3×	43 0.3×	38 1.6×	13 0.8×	8 0.6×	19	141
Lauren E. L. Lowman	64 0.4×	231 1.5×	19 0.8×	46 2.9×	11 0.8×	19	287
Kalyn Dorheim	67 0.4×	155 1.0×	38 1.6×	34 2.1×	4 0.3×	25	243
Ekaterina A Dolgova	230 1.4×	176 1.1×	47 2.0×	11 0.7×	17 1.3×	26	267
Thomas Foken	203 1.3×	150 1.0×	14 0.6×	27 1.7×	8 0.6×	21	288
Georg Jocher	95 0.6×	152 1.0×	38 1.6×	49 3.1×	2 0.2×	20	228
Ilaíne Silveira Matos	64 0.4×	182 1.2×	86 3.6×	25 1.6×	9 0.7×	18	260
José Daniel Pabón-Caicedo	75 0.5×	105 0.7×	16 0.7×	28 1.8×	6 0.5×	19	193

Countries citing papers authored by Congxi Fang

Since Specialization

Citations

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

Fields of papers citing papers by Congxi Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congxi Fang

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

All Works

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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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