Long Du

1.1k citations
38 papers · 942 · h-index 18

Impact in

  • Geophysics top 2%
    • Geological and Geochemical Analysis
    • High-pressure geophysics and materials
    • earthquake and tectonic studies
    • Geochemistry and Elemental Analysis

Papers in

    • Geological and Geochemical Analysis 25
    • High-pressure geophysics and materials 18
    • earthquake and tectonic studies 15
    • Geochemistry and Geologic Mapping 10

Long Du

36 papers receiving 919 citations

Peers

Long Du
Comparison fields: 5 of 58
  • Geophysics 786
  • Geochemistry and Petrology 101
  • Artificial Intelligence 433
  • Paleontology 66
  • Geology 37
Replace Jeffrey K. Greenberg with:
Jeffrey K. Greenberg United States
Mamoru Hayashi Japan
Shan Li China
Tianqi Zhou China
Jiangtao Li China
Jaroslav Marek Czechia
A. I. Yakushev Russia
Zhenyu Zhang China
E. V. Sharkov Russia
L. Carmody United States
Long Du relative to Jeffrey K. Greenberg United States Jeffrey K. Greenberg's profile →
Citations per field
00.5×12×
Jeffrey K. Greenberg · 1×
Citations per year

Countries citing papers authored by Long Du

Since Specialization
Citations

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

Fields of papers citing papers by Long Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018107
2 201682
3 201872
4 201871
5 201770
6 201763
7 201945
8 201945
9 202042
10 201639
11 201938
12 202128
13 201927
14 202023
15 202022
16 201520
17 202017
18 201817
19 202017
20 202117

About Long Du

Long Du is a scholar working on Geophysics, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Geochemistry and Petrology, having authored 38 papers that have together received 942 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (25 papers), High-pressure geophysics and materials (18 papers), earthquake and tectonic studies (15 papers), Geochemistry and Geologic Mapping (10 papers), Advanced Fiber Laser Technologies (5 papers), Solid State Laser Technologies (5 papers), Geochemistry and Elemental Analysis (4 papers) and Laser-Matter Interactions and Applications (3 papers). The work is most often cited by research in Geophysics (786 citations), Geochemistry and Petrology (101 citations), Artificial Intelligence (433 citations), Paleontology (66 citations) and Geology (37 citations). Long Du has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Xiaoping Long, Zongying Huang, Yunying Zhang, Chao Yuan, Min Sun, Hongli Zhu, Zhaofeng Zhang, Xinyu Wang, Weidong Sun and Pengfei Li. Their work appears in journals such as Lithos, Geochimica et Cosmochimica Acta, Precambrian Research, Tectonics and Journal of the Geological Society.

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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