Jun Yan

1.7k citations
76 papers · 1.4k indexed · h-index 24

Impact in

Papers in

Jun Yan

74 papers receiving 1.3k citations

Peers

Jun Yan
Comparison fields: 5 of 97
  • Geophysics 505
  • Geochemistry and Petrology 190
  • Environmental Chemistry 310
  • Earth-Surface Processes 103
  • Artificial Intelligence 450
Replace Bénédicte Ménèz with:
Bénédicte Ménèz France
Carles Canet Mexico
Dmitri Rouwet Italy
U. Kramar Germany
Tetsuro Urabe Japan
Chunhui Tao China
Valérie Chavagnac France
Xiaolin Wang China
Dionysis I. Foustoukos United States
Giovannella Pecoraino Italy
Jun Yan relative to Bénédicte Ménèz France Bénédicte Ménèz's profile →
Citations per field
00.5×1.5×2.5×
Bénédicte Ménèz · 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 201885
2 201776
3 201562
4 201758
5 201657
6 201645
7 201943
8 202242
9 201537
10 201835
11 202035
12 202033
13 201833
14 201831
15 202031
16 201731
17 201929
18 201827
19 201927
20 202125

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), Geochemistry and Elemental Analysis (9 papers) and Geology and Paleoclimatology Research (9 papers). The work is most often cited by research in Geophysics (505 citations), Geochemistry and Petrology (190 citations), Environmental Chemistry (310 citations), Earth-Surface Processes (103 citations) and Artificial Intelligence (450 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, Applied Spectroscopy, Sustainability 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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