Jin-Hai Yu

1.9k citations
16 papers · 1.7k indexed · 1 hit paper · h-index 14
Topics
Geological and Geochemical Analysis (13 papers)earthquake and tectonic studies (12 papers)High-pressure geophysics and materials (10 papers)
Partner nations
ChinaAustraliaHong Kong

In The Last Decade

Jin-Hai Yu

16 papers receiving 1.7k citations

Hit Papers

Geochemical zonation across a Neoproterozoic orogenic bel...2014202620182022201450100150200250

Peers

Jin-Hai Yu
Comparison fields: 5 of 39
  • Geophysics 1.7k
  • Artificial Intelligence 593
  • Geochemistry and Petrology 297
  • Geology 181
  • Paleontology 146
Replace Huichuan Liu with:
Huichuan Liu China
Zengqiu Zhong China
Mei-Fu Zhou Hong Kong
Xiu‐Zheng Zhang China
Yuansheng Geng China
Gaoxue Yang China
Yu-Ya Gao China
C. G. Mattinson United States
Jin-Hai Yu relative to Huichuan Liu China Huichuan Liu's profile →
Citations per field
00.5×1.5×2.4×
Huichuan Liu · 1×
Citations per year

Countries citing papers authored by Jin-Hai Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jin-Hai Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Hai Yu. 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 Jin-Hai Yu. The network helps show where Jin-Hai Yu may publish in the future.

Co-authorship network of co-authors of Jin-Hai Yu

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 19
3 44
4
Geochemical zonation across a Neoproterozoic orogenic belt: Isotopic evidence from granitoids and metasedimentary rocks of the Jiangnan orogen, Chinabreakdown →
298
5 81
6 25
7 228
8 20
9 14
10 146
11 120
12 304
13 3
14 287
15 40
16 103

About Jin-Hai Yu

Jin-Hai Yu is a scholar working on Geophysics, Geochemistry and Petrology and Artificial Intelligence, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (13 papers), earthquake and tectonic studies (12 papers) and High-pressure geophysics and materials (10 papers). The work is most often cited by research in Geophysics (1.7k citations), Geochemistry and Petrology (297 citations) and Geology (181 citations). Jin-Hai Yu has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include William L. Griffin, Suzanne Y. O’Reilly, Lijuan Wang, Mei-Fu Zhou, Yu Shi, M. Santosh, Xiao‐Lei Wang, Yanjie Zhang, Guochun Zhao and Qian Liu. Their work appears in journals such as Contributions to Mineralogy and Petrology, Precambrian Research and Lithos.

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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