Jun Yan

1.8k citations
76 papers · 1.4k · h-index 24

Impact in

Papers in

Jun Yan

74 papers receiving 1.4k citations

Peers

Jun Yan
Comparison fields: 5 of 98
  • Geophysics 534
  • Geochemistry and Petrology 196
  • Environmental Chemistry 321
  • Earth-Surface Processes 104
  • Artificial Intelligence 470
Replace Carles Canet with:
Carles Canet Mexico
Giovannella Pecoraino Italy
Chunhui Tao China
U. Kramar Germany
Hrefna Kristmannsdóttir Iceland
Benjamin M. Tutolo Canada
Dionysis I. Foustoukos United States
Anja M. Schleicher Germany
Xiaolin Wang China
Valérie Chavagnac France
Jun Yan relative to Carles Canet Mexico Carles Canet's profile →
Citations per field
00.5×1.5×1.9×
Carles Canet · 1×
Citations per year

Countries citing papers authored by Jun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Yan Line = papers co-authored together Jun Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201890
2 201778
3 201764
4 201562
5 201657
6 201645
7 201945
8 202243
9 201539
10 202038
11 201837
12 202035
13 202035
14 201834
15 201733
16 201932
17 201831
18 201829
19 201927
20 201927

About Jun Yan

Jun Yan is a scholar working on Geophysics, Environmental Chemistry, Artificial Intelligence, Global and Planetary Change and Mechanics of Materials, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (27 papers), Methane Hydrates and Related Phenomena (24 papers), Geochemistry and Geologic Mapping (22 papers), Atmospheric and Environmental Gas Dynamics (15 papers), Hydrocarbon exploration and reservoir analysis (14 papers), earthquake and tectonic studies (13 papers), Geology and Paleoclimatology Research (9 papers) and Geochemistry and Elemental Analysis (9 papers). The work is most often cited by research in Geophysics (534 citations), Geochemistry and Petrology (196 citations), Environmental Chemistry (321 citations), Earth-Surface Processes (104 citations) and Artificial Intelligence (470 citations). Jun Yan has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Zhendong Luan, Zengfeng Du, Chao Lian, Shanling Fu, Shichuan Xi, Lianfu Li, Qinping Tan, Zhuojun Xie, Yong Xia and Xiaochuan Ma. Their work appears in journals such as Ore Geology Reviews, Deep Sea Research Part I Oceanographic Research Papers, Sustainability, Applied Spectroscopy and Journal of Asian Earth Sciences.

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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