Shaojun Li

8.8k citations
182 papers · 7.3k indexed · 7 hit papers · h-index 46

Shaojun Li

173 papers receiving 7.1k citations

Hit Papers

Microdynam...402012202620162021100200300

Peers

Shaojun Li
Comparison fields: 5 of 127
  • Management, Monitoring, Policy and Law 3.0k
  • Safety, Risk, Reliability and Quality 1.5k
  • Mechanics of Materials 3.8k
  • Civil and Structural Engineering 2.3k
  • Global and Planetary Change 1.9k
Replace Candan Gökçeoğlu with:
Candan Gökçeoğlu Türkiye
Işık Yılmaz Türkiye
Pijush Samui India
Hakan A. Nefeslioğlu Türkiye
Huiming Tang China
Hengxing Lan China
H. Sönmez Türkiye
T. N. Singh India
Zhen‐Yu Yin Hong Kong
Nicholas Sitar United States
Shaojun Li relative to Candan Gökçeoğlu Türkiye Candan Gökçeoğlu's profile →
Citations per field
00.5×1.5×2.1×
Candan Gökçeoğlu · 1×
Citations per year

Countries citing papers authored by Shaojun Li

Since Specialization
Citations

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

Fields of papers citing papers by Shaojun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
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3 20252
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5 20251
6 20244
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8 20248
9 20241
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11 20236
12 202335
13 202315
14 202341
15 20224
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17 20212
18 2019209
19 201963
20
Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methodsbreakdown →
2019384

About Shaojun Li

Shaojun Li is a scholar working on Safety, Risk, Reliability and Quality, Mechanics of Materials, Management, Monitoring, Policy and Law, Civil and Structural Engineering and Ocean Engineering, having authored 182 papers that have together received 7.3k indexed citations. Recurring topics across this work include Rock Mechanics and Modeling (112 papers), Geotechnical Engineering and Analysis (63 papers), Landslides and related hazards (63 papers), Geotechnical Engineering and Underground Structures (26 papers), Tunneling and Rock Mechanics (24 papers), Geophysical Methods and Applications (22 papers), Dam Engineering and Safety (19 papers) and Flood Risk Assessment and Management (12 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (3.0k citations), Safety, Risk, Reliability and Quality (1.5k citations), Mechanics of Materials (3.8k citations), Civil and Structural Engineering (2.3k citations) and Global and Planetary Change (1.9k citations). Shaojun Li has collaborated with scholars based in China, Iran and United States. Frequent co-authors include Xia‐Ting Feng, Wei Chen, Himan Shahabi, Quan Jiang, Hongbo Zhao, Haoyuan Hong, Baharin Bin Ahmad, Bingrui Chen, Hui Zhou and Shili Qiu. Their work appears in journals such as Rock Mechanics and Rock Engineering, Engineering Geology, International Journal of Rock Mechanics and Mining Sciences, Journal of Central South University and Engineering Fracture Mechanics.

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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