Long Ren

898 citations
51 papers · 637 · h-index 16

Impact in

  • Geophysics top 5%
    • Geological and Geochemical Analysis
    • earthquake and tectonic studies
    • High-pressure geophysics and materials
    • Supply Chain and Inventory Management

Papers in

    • Geological and Geochemical Analysis 18
    • High-pressure geophysics and materials 14
    • earthquake and tectonic studies 11
    • Geochemistry and Geologic Mapping 9

Long Ren

46 papers receiving 611 citations

Peers

Long Ren
Comparison fields: 5 of 89
  • Geophysics 246
  • Management Information Systems 93
  • Marketing 81
  • Transportation 49
  • Artificial Intelligence 205
Replace Shastri L. Nimmagadda with:
Shastri L. Nimmagadda Australia
Rajbir Kaur India
Wenrui Li China
Steven Luis United States
Brahim Ouhbi Morocco
Jia-Cai Liu China
Luo Xin-xing China
Flávio Horita Brazil
Long Ren relative to Shastri L. Nimmagadda Australia Shastri L. Nimmagadda's profile →
Citations per field
00.5×12.3×
Shastri L. Nimmagadda · 1×
Citations per year

Countries citing papers authored by Long Ren

Since Specialization
Citations

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

Fields of papers citing papers by Long Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201982
2 201941
3 202137
4 201833
5 201832
6 201831
7 202329
8 201926
9 202323
10 201822
11 202222
12 202122
13 201919
14 201919
15 202016
16 201816
17 202015
18 202313
19 202311
20 202110

About Long Ren

Long Ren is a scholar working on Geophysics, Artificial Intelligence, Marketing, Strategy and Management and Transportation, having authored 51 papers that have together received 637 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (18 papers), High-pressure geophysics and materials (14 papers), earthquake and tectonic studies (11 papers), Geochemistry and Geologic Mapping (9 papers), Consumer Market Behavior and Pricing (4 papers), Sharing Economy and Platforms (4 papers), Digital Platforms and Economics (4 papers) and Transportation Planning and Optimization (3 papers). The work is most often cited by research in Geophysics (246 citations), Management Information Systems (93 citations), Marketing (81 citations), Transportation (49 citations) and Artificial Intelligence (205 citations). Long Ren has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shifeng Liu, Wenting Huang, Huaying Liang, Jian Zhang, Daqing Gong, Xilian Chen, Jun Liu, Bin Zhu, Zhiwei Bao and Jing Wu. Their work appears in journals such as Ore Geology Reviews, Lithos, Reliability Engineering & System Safety, Information Sciences and Geological Journal.

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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