Kun Liang

91 total papers · 1.2k total citations
60 papers, 924 citations indexed

About

Kun Liang is a scholar working on Paleontology, Geology and Atmospheric Science. According to data from OpenAlex, Kun Liang has authored 60 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Paleontology, 20 papers in Geology and 11 papers in Atmospheric Science. Recurrent topics in Kun Liang's work include Paleontology and Stratigraphy of Fossils (41 papers), Paleontology and Evolutionary Biology (19 papers) and Geological and Geophysical Studies (18 papers). Kun Liang is often cited by papers focused on Paleontology and Stratigraphy of Fossils (41 papers), Paleontology and Evolutionary Biology (19 papers) and Geological and Geophysical Studies (18 papers). Kun Liang collaborates with scholars based in China, United Kingdom and South Korea. Kun Liang's co-authors include Zhang Guo-sheng, Xin Li, Hongjun Wang, Yingbo Liang, Jianzhong Li, Zhaoming Wang, Zhi Yang, Feng Ma, Caineng Zou and Zhai Guangming and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Geophysical Research Letters.

In The Last Decade

Kun Liang

56 papers receiving 906 citations

Hit Papers

Formation, distribution, ... 2015 2026 2018 2022 2015 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Kun Liang 340 258 164 150 139 60 924
Mikael Erlström 343 1.0× 215 0.8× 86 0.5× 57 0.4× 80 0.6× 50 931
Roland Dreesen 527 1.6× 168 0.7× 90 0.5× 58 0.4× 52 0.4× 58 1.0k
Tom McCann 105 0.3× 194 0.8× 105 0.6× 165 1.1× 127 0.9× 37 806
Ernest A. Mancini 422 1.2× 367 1.4× 75 0.5× 48 0.3× 93 0.7× 75 940
M. Dane Picard 224 0.7× 261 1.0× 56 0.3× 21 0.1× 60 0.4× 84 937
Ulf Bayer 242 0.7× 270 1.0× 41 0.3× 44 0.3× 47 0.3× 42 1.1k
Virgínio Henrique de Miranda Lopes Neumann 428 1.3× 96 0.4× 19 0.1× 87 0.6× 48 0.3× 71 1.1k
Fadhil Sadooni 307 0.9× 489 1.9× 150 0.9× 17 0.1× 181 1.3× 78 1.1k
Hyun Suk Lee 294 0.9× 222 0.9× 110 0.7× 10 0.1× 151 1.1× 66 871
Bart J. Kowallis 311 0.9× 270 1.0× 89 0.5× 49 0.3× 65 0.5× 57 1.0k

Countries citing papers authored by Kun Liang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Liang

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