X. San Liang

3.4k total citations
84 papers, 2.4k citations indexed

About

X. San Liang is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, X. San Liang has authored 84 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Global and Planetary Change, 41 papers in Atmospheric Science and 36 papers in Oceanography. Recurrent topics in X. San Liang's work include Climate variability and models (46 papers), Oceanographic and Atmospheric Processes (28 papers) and Meteorological Phenomena and Simulations (26 papers). X. San Liang is often cited by papers focused on Climate variability and models (46 papers), Oceanographic and Atmospheric Processes (28 papers) and Meteorological Phenomena and Simulations (26 papers). X. San Liang collaborates with scholars based in China, United States and Hong Kong. X. San Liang's co-authors include Yonggang Liu, Robert H. Weisberg, Allan R. Robinson, Yang Yang, Diego Macías, Clare Coughlan, Adolf Stips, Elisa García‐Górriz, Donald G. Anderson and Yuanzhi Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

X. San Liang

79 papers receiving 2.3k citations

Peers

X. San Liang
Comparison fields: 5 of 117
  • Global and Planetary Change 1.3k
  • Atmospheric Science 1.0k
  • Oceanography 907
  • Economics and Econometrics 211
  • Environmental Engineering 160
Replace M. R. Allen with:
M. R. Allen United Kingdom
Bedartha Goswami India
Antonio Turiel Spain
Kyle L. Swanson United States
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M. R. Allen United Kingdom View profile →
Citations per field, relative to X. San Liang
X. San Liang · 1×
Citations per year, relative to X. San Liang
X. San Liang · 1×

Countries citing papers authored by X. San Liang

Since Specialization
Citations

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

Fields of papers citing papers by X. San Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by X. San Liang. 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 X. San Liang. The network helps show where X. San Liang may publish in the future.

Co-authorship network of co-authors of X. San Liang

This figure shows the co-authorship network connecting the top 25 collaborators of X. San Liang. A scholar is included among the top collaborators of X. San Liang 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 X. San Liang. X. San Liang 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 2
2 0
3 3
4 3
5 1
6 5
7 3
8 2
9 20
10 6
11 48
12 8
13 32
14 18
15 195
16 147
17 102
18 251
19
Information flow and causality within stochastic systems
2
20 81

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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