Le Gao

1.2k citations
107 papers · 790 · h-index 15

Impact in

  • Geology top 10%
    • Geological and Geophysical Studies
    • Geological and Geochemical Analysis
    • earthquake and tectonic studies

Papers in

    • Privacy-Preserving Technologies in Data 9
    • Cryptography and Data Security 8
    • Geochemistry and Geologic Mapping 8
    • Stochastic Gradient Optimization Techniques 4
    • Functional Brain Connectivity Studies 9
    • EEG and Brain-Computer Interfaces 7
    • Neural dynamics and brain function 6

Le Gao

88 papers receiving 773 citations

Peers

Le Gao
Comparison fields: 5 of 148
  • Geology 59
  • Geophysics 73
  • Artificial Intelligence 142
  • Cognitive Neuroscience 84
  • Geochemistry and Petrology 22
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Citations per field
00.5×4.9×
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Citations per year

Countries citing papers authored by Le Gao

Since Specialization
Citations

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

Fields of papers citing papers by Le Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199552
2
Geological characteristics and exploration objectives of hydrocarbons in the northern continental margin basin of South China Sea
200850
3 201442
4
Early Oligocene Na-rich peraluminous leucogranites in the Yardoi gneiss dome, southern Tibet: Formation mechanism and tectonic implications
200931
5 202328
6 202225
7 202222
8 202322
9 202221
10 202120
11 202318
12 201818
13 202116
14 202315
15
SHRIMP zircon U/Pb dating on ultrahigh pressure rocks from Yangkou:Implications for the timing of partial melting in the Sulu UHP metamorphic belt
201115
16 202314
17 202214
18 202014
19 202313
20 201313

About Le Gao

Le Gao is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Mechanical Engineering, Electrical and Electronic Engineering and Molecular Biology, having authored 107 papers that have together received 790 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (9 papers), Functional Brain Connectivity Studies (9 papers), Cryptography and Data Security (8 papers), Geochemistry and Geologic Mapping (8 papers), EEG and Brain-Computer Interfaces (7 papers), Remote-Sensing Image Classification (6 papers), Neural dynamics and brain function (6 papers) and Stochastic Gradient Optimization Techniques (4 papers). The work is most often cited by research in Geology (59 citations), Geophysics (73 citations), Artificial Intelligence (142 citations), Cognitive Neuroscience (84 citations) and Geochemistry and Petrology (22 citations). Le Gao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Sushil H. Bhavnani, Zhiqiang Zeng, Baocang Wang, Xia Zhang, Deborah J. Rubens, Xiaonan Guo, Kevin J. Parker, S. Kaisar Alam, Jin Hong and Zhiyong Hong. Their work appears in journals such as IEEE Access, Cerebral Cortex, Electronics, IEEE Internet of Things Journal and Autism Research.

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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