Ling Bai

701 total citations
38 papers, 547 citations indexed

About

Ling Bai is a scholar working on Geophysics, Civil and Structural Engineering and Artificial Intelligence. According to data from OpenAlex, Ling Bai has authored 38 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Geophysics, 4 papers in Civil and Structural Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Ling Bai's work include earthquake and tectonic studies (34 papers), High-pressure geophysics and materials (29 papers) and Geological and Geochemical Analysis (23 papers). Ling Bai is often cited by papers focused on earthquake and tectonic studies (34 papers), High-pressure geophysics and materials (29 papers) and Geological and Geochemical Analysis (23 papers). Ling Bai collaborates with scholars based in China, Japan and United States. Ling Bai's co-authors include Guohui Li, Tianzhong Zhang, Jeroen Ritsema, Yuzo Ishikawa, James Mori, Lin Ding, Hongbing Liu, Ichiro Kawasaki, Yuichi Morita and Hitoshi Kawakatsu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Science Advances.

In The Last Decade

Ling Bai

35 papers receiving 533 citations

Peers

Ling Bai
Comparison fields: 5 of 40
  • Geophysics 497
  • Civil and Structural Engineering 60
  • Artificial Intelligence 44
  • Geology 38
  • Management, Monitoring, Policy and Law 30
Replace Lijun Chang with:
Lijun Chang China
C. Nostro Italy
H. Grosser Germany
Germana Gaudiosi Italy
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Lijun Chang China View profile →
Citations per field, relative to Ling Bai
Ling Bai · 1×
Citations per year, relative to Ling Bai
Ling Bai · 1×

Countries citing papers authored by Ling Bai

Since Specialization
Citations

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

Fields of papers citing papers by Ling Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Bai. A scholar is included among the top collaborators of Ling Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ling Bai. Ling Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 2
5 3
6 4
7 9
8 51
9 9
10 27
11 8
12 15
13 8
14 4
15
Crustal structure beneath the Indochina peninsula from teleseismic receiver functions
1
16 13
17 28
18
Upper mantle anisotropy beneath Indochina block and adjacent regions from shear wave splitting analysis of Vietnam array data
4
19 14
20 3

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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