Shanjun Liu

3.4k citations
171 papers · 2.7k · h-index 27

Impact in

  • Geophysics top 2%
    • Earthquake Detection and Analysis
    • earthquake and tectonic studies
    • Seismic Waves and Analysis
  • Geology top 2%

Papers in

Shanjun Liu

157 papers receiving 2.6k citations

Peers

Shanjun Liu
Comparison fields: 5 of 151
  • Geophysics 696
  • Geology 175
  • Management, Monitoring, Policy and Law 312
  • Mechanics of Materials 604
  • Ocean Engineering 375
Replace Lixin Wu with:
Lixin Wu China
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Tao Chen China
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Shanjun Liu relative to Lixin Wu China Lixin Wu's profile →
Citations per field
00.5×1.6×
Lixin Wu · 1×
Citations per year

Countries citing papers authored by Shanjun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shanjun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008378
2 2005153
3 2005133
4 201294
5 200983
6 200283
7 201776
8 200675
9 202163
10 200957
11 202154
12 201544
13 201543
14 201842
15 201940
16 201639
17 201238
18 201636
19
岩石の破砕と破壊の前兆 第2部:IRR T-カーブ異常
200634
20 200634

About Shanjun Liu

Shanjun Liu is a scholar working on Geophysics, Civil and Structural Engineering, Artificial Intelligence, Mechanics of Materials and Ecology, having authored 171 papers that have together received 2.7k indexed citations. Recurring topics across this work include Earthquake Detection and Analysis (41 papers), Hydraulic flow and structures (27 papers), Seismology and Earthquake Studies (25 papers), earthquake and tectonic studies (22 papers), Hydrology and Sediment Transport Processes (21 papers), Landslides and related hazards (21 papers), Seismic Waves and Analysis (18 papers) and Rock Mechanics and Modeling (15 papers). The work is most often cited by research in Geophysics (696 citations), Geology (175 citations), Management, Monitoring, Policy and Law (312 citations), Mechanics of Materials (604 citations) and Ocean Engineering (375 citations). Shanjun Liu has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Lixin Wu, K. Sandy Pang, Yuhua Wu, Lixin Wu, Chuanyin Wang, Huadong Sun, Kai Qin, Jiateng Guo, Yachun Mao and Jianwei Huang. Their work appears in journals such as Remote Sensing, International Journal of Rock Mechanics and Mining Sciences, IEEE Transactions on Geoscience and Remote Sensing, Journal of Hydrodynamics and Journal of Hydraulic 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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