Shuxin Cai

17 total papers · 473 total citations
15 papers, 317 citations indexed

About

Shuxin Cai is a scholar working on Atmospheric Science, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Shuxin Cai has authored 15 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atmospheric Science, 13 papers in Global and Planetary Change and 2 papers in Artificial Intelligence. Recurrent topics in Shuxin Cai's work include Meteorological Phenomena and Simulations (13 papers), Climate variability and models (12 papers) and Cryospheric studies and observations (5 papers). Shuxin Cai is often cited by papers focused on Meteorological Phenomena and Simulations (13 papers), Climate variability and models (12 papers) and Cryospheric studies and observations (5 papers). Shuxin Cai collaborates with scholars based in China. Shuxin Cai's co-authors include Anning Huang, Yang Wu, Xindan Zhang, Ben Yang, Lijuan Wen, Yongjiu Dai, Junbo Wang, Lazhu, Zhipeng Fu and Kun Yang and has published in prestigious journals such as Scientific Reports, Geophysical Research Letters and Climate Dynamics.

In The Last Decade

Shuxin Cai

14 papers receiving 305 citations

Author Peers

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

Author						Papers	Cites
Shuxin Cai	244	242	49	42	25	15	317
C.‐D. Schönwiese	149 0.6×	211 0.9×	28 0.6×	41 1.0×	27 1.1×	19	295
Gomboluudev Purevjav	258 1.1×	316 1.3×	21 0.4×	27 0.6×	27 1.1×	13	362
Shihua Lyu	248 1.0×	173 0.7×	28 0.6×	63 1.5×	59 2.4×	20	328
Penelope Maher	277 1.1×	303 1.3×	68 1.4×	20 0.5×	13 0.5×	13	365
Aditya Kumar Dubey	221 0.9×	252 1.0×	69 1.4×	21 0.5×	32 1.3×	23	344
Marie C. McGraw	250 1.0×	254 1.0×	62 1.3×	8 0.2×	22 0.9×	14	311
Linan Guo	150 0.6×	149 0.6×	38 0.8×	74 1.8×	30 1.2×	16	265
D. Césari	245 1.0×	251 1.0×	27 0.6×	56 1.3×	54 2.2×	18	363
Ulf Andrae	252 1.0×	204 0.8×	62 1.3×	13 0.3×	53 2.1×	8	320
Yu Cai	230 0.9×	81 0.3×	37 0.8×	51 1.2×	33 1.3×	19	318

Countries citing papers authored by Shuxin Cai

Since Specialization

Citations

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

Fields of papers citing papers by Shuxin Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuxin Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Shuxin Cai. A scholar is included among the top collaborators of Shuxin Cai 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 Shuxin Cai. Shuxin Cai 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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