Kai Luo

1.6k citations
73 papers · 1.2k · h-index 22

Impact in

Papers in

Kai Luo

65 papers receiving 1.1k citations

Peers

Kai Luo
Comparison fields: 5 of 83
  • Geophysics 533
  • Geochemistry and Petrology 208
  • Artificial Intelligence 507
  • Civil and Structural Engineering 246
  • Earth-Surface Processes 72
Replace Shaohua Zhang with:
Shaohua Zhang China
Yu Deng China
Kristian Bär Germany
L. Marini Italy
Inga Moeck Germany
Ingrid Stober Germany
Jean‐Jacques Royer France
Robert Möckel Germany
D.J. Evans United Kingdom
Mohammad Ghafoori Iran
Kai Luo relative to Shaohua Zhang China Shaohua Zhang's profile →
Citations per field
00.5×2.8×
Shaohua Zhang · 1×
Citations per year

Countries citing papers authored by Kai Luo

Since Specialization
Citations

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

Fields of papers citing papers by Kai Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017120
2 201776
3 201769
4 202256
5 202447
6 201847
7 201947
8 201945
9 202036
10 202236
11 201934
12 202231
13 202430
14 202230
15 201527
16 202326
17 202026
18 202224
19 202424
20 202424

About Kai Luo

Kai Luo is a scholar working on Artificial Intelligence, Geophysics, Civil and Structural Engineering, Mechanics of Materials and Mechanical Engineering, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (23 papers), Geological and Geochemical Analysis (23 papers), Ultrasonics and Acoustic Wave Propagation (14 papers), Concrete and Cement Materials Research (11 papers), earthquake and tectonic studies (10 papers), Non-Destructive Testing Techniques (9 papers), Geophysical Methods and Applications (8 papers) and Hydrocarbon exploration and reservoir analysis (6 papers). The work is most often cited by research in Geophysics (533 citations), Geochemistry and Petrology (208 citations), Artificial Intelligence (507 citations), Civil and Structural Engineering (246 citations) and Earth-Surface Processes (72 citations). Kai Luo has collaborated with scholars based in China, Australia and Switzerland. Frequent co-authors include Jia‐Xi Zhou, Zhilong Huang, Liang Chen, Wei Liang, Yuexing Feng, Simon A. Wilde, Xuan‐Ce Wang, Tao Wu, Zhongyuan Lu and Mei‐Fu Zhou. Their work appears in journals such as Ore Geology Reviews, Construction and Building Materials, Journal of Asian Earth Sciences, Composite Structures and Journal of Building Engineering.

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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