Xiaoping Jia

2.5k total citations
112 papers, 2.0k citations indexed

About

Xiaoping Jia is a scholar working on Computational Mechanics, Mechanics of Materials and Geophysics. According to data from OpenAlex, Xiaoping Jia has authored 112 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Mechanics, 29 papers in Mechanics of Materials and 24 papers in Geophysics. Recurrent topics in Xiaoping Jia's work include Granular flow and fluidized beds (29 papers), Seismic Waves and Analysis (20 papers) and Ultrasonics and Acoustic Wave Propagation (17 papers). Xiaoping Jia is often cited by papers focused on Granular flow and fluidized beds (29 papers), Seismic Waves and Analysis (20 papers) and Ultrasonics and Acoustic Wave Propagation (17 papers). Xiaoping Jia collaborates with scholars based in France, China and United States. Xiaoping Jia's co-authors include Paul A. Johnson, C. Caroli, B. Velický, Thomas Brunet, Yacine Khidas, Yongsong Qiu, G. Quentin, M. de Billy, Samuel K. Hung and J. Laurent and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Xiaoping Jia

101 papers receiving 1.9k citations

Peers

Xiaoping Jia
Comparison fields: 5 of 116
  • Mechanics of Materials 620
  • Computational Mechanics 568
  • Geophysics 529
  • Management, Monitoring, Policy and Law 340
  • Biomedical Engineering 303
Replace Robert Ewing with:
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Masami Nakagawa United States
Jean-Noël Roux France
Philippe Claudin France
John F. Peters United States
Xiaojing Zheng China
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Robert Ewing United States View profile →
Citations per field, relative to Xiaoping Jia
Xiaoping Jia · 1×
Citations per year, relative to Xiaoping Jia
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Countries citing papers authored by Xiaoping Jia

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Jia. A scholar is included among the top collaborators of Xiaoping Jia 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 Xiaoping Jia. Xiaoping Jia 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 1
3 2
4 4
5 3
6 24
7 1
8 26
9 1
10 7
11 7
12 26
13 12
14 19
15 3
16 16
17
Comparison of Drags on Fish Cages of Different Shapes
1
18 84
19
Primary study on detected method of paralytic shellfish poison used Kunming strain mouse
1
20 28

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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