Shan-Song Lu

644 citations
22 papers · 580 · h-index 11

Impact in

  • Geophysics top 5%
    • Geological and Geochemical Analysis
    • earthquake and tectonic studies
    • High-pressure geophysics and materials
    • Geochemistry and Elemental Analysis

Papers in

    • Geological and Geochemical Analysis 20
    • earthquake and tectonic studies 11
    • High-pressure geophysics and materials 7
    • Geochemistry and Geologic Mapping 12

Shan-Song Lu

17 papers receiving 560 citations

Peers

Shan-Song Lu
Comparison fields: 5 of 26
  • Geophysics 535
  • Geochemistry and Petrology 99
  • Paleontology 77
  • Artificial Intelligence 229
  • Geology 30
Replace Rui-Chun Duan with:
Rui-Chun Duan China
Guojie Hao China
R. Sh. Krymsky Russia
Qinglin Sui China
P. Ayda Ustaömer Türkiye
Jianping Zheng China
Ghasem Ghorbani Iran
P. A. Hunt Canada
Yali Sun China
Yazhou Fu China
Shan-Song Lu relative to Rui-Chun Duan China Rui-Chun Duan's profile →
Citations per field
00.5×1.5×1.8×
Rui-Chun Duan · 1×
Citations per year

Countries citing papers authored by Shan-Song Lu

Since Specialization
Citations

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

Fields of papers citing papers by Shan-Song Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shan-Song Lu. 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 Shan-Song Lu. The network helps show where Shan-Song Lu may publish in the future.

Co-authors

The 25 scholars most cited alongside Shan-Song Lu, 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 Shan-Song Lu Line = papers co-authored together Shan-Song Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006217
2 2011135
3 201746
4 201440
5 201924
6 201719
7 201118
8 202216
9 201714
10 201613
11 201410
12 20168
13 20177
14 20205
15 20213
16 20103
17 20211
18 20171
19 20250
20 20240

About Shan-Song Lu

Shan-Song Lu is a scholar working on Geophysics, Artificial Intelligence, Geochemistry and Petrology, Economics and Econometrics and Paleontology, having authored 22 papers that have together received 580 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (20 papers), Geochemistry and Geologic Mapping (12 papers), earthquake and tectonic studies (11 papers), High-pressure geophysics and materials (7 papers), Geochemistry and Elemental Analysis (5 papers), Geochemistry and Geochronology of Asian Mineral Deposits (2 papers), Geological Studies and Exploration (1 paper) and Geological and Geophysical Studies (1 paper). The work is most often cited by research in Geophysics (535 citations), Geochemistry and Petrology (99 citations), Paleontology (77 citations), Artificial Intelligence (229 citations) and Geology (30 citations). Shan-Song Lu has collaborated with scholars based in China, South Korea and Pakistan. Frequent co-authors include Xiaofei Qiu, Chi Zhang, X LI, Hong‐Chun Li, Zheng‐Xiang Li, Wenli Ling, Tuo Jiang, Yinghua Zhang, Hongmei Yang and Xiaoming Liu. Their work appears in journals such as Geological Magazine, Precambrian Research, International Geology Review, Journal of the Geological Society and Journal of Earth Science.

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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