Yixiang Song

721 citations
32 papers · 543 indexed · 1 hit paper · h-index 12

Yixiang Song

27 papers receiving 538 citations

Hit Papers

PSLSA v2.0: An automatic Python package integrating machi...172025202651015

Peers

Yixiang Song
Comparison fields: 5 of 45
  • Management, Monitoring, Policy and Law 359
  • Safety, Risk, Reliability and Quality 139
  • Mechanics of Materials 302
  • Civil and Structural Engineering 251
  • Ocean Engineering 76
Replace Zhigang Shan with:
Zhigang Shan China
Shilin Luo China
Jiangbo Wei China
Gongda Lu China
Shenghua Cui China
G. P. Giani Italy
Keh‐Jian Shou Taiwan
H. Saroglou Greece
Duofeng Cen China
Chia-Ming Lo Taiwan
Yixiang Song relative to Zhigang Shan China Zhigang Shan's profile →
Citations per field
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Zhigang Shan · 1×
Citations per year

Countries citing papers authored by Yixiang Song

Since Specialization
Citations

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

Fields of papers citing papers by Yixiang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3
PSLSA v2.0: An automatic Python package integrating machine learning models for regional landslide susceptibility assessmentbreakdown →
202517
4 20251
5 20248
6 20240
7 20240
8 20243
9 20244
10 20231
11 20235
12 202211
13 20220
14 20218
15 202113
16 20204
17 20207
18 202048
19 201754
20 201676

About Yixiang Song

Yixiang Song is a scholar working on Management, Monitoring, Policy and Law, Safety, Risk, Reliability and Quality and Civil and Structural Engineering, having authored 32 papers that have together received 543 indexed citations. Recurring topics across this work include Landslides and related hazards (24 papers), Rock Mechanics and Modeling (15 papers), Geotechnical Engineering and Analysis (9 papers), Dam Engineering and Safety (7 papers), Geotechnical Engineering and Underground Structures (5 papers), Tunneling and Rock Mechanics (4 papers), Grouting, Rheology, and Soil Mechanics (4 papers) and Cryospheric studies and observations (3 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (359 citations), Safety, Risk, Reliability and Quality (139 citations) and Mechanics of Materials (302 citations). Yixiang Song has collaborated with scholars based in China, Spain and Australia. Frequent co-authors include Da Huang, Duofeng Cen, Zhu Zhong, Bin Zeng, Dongming Gu, Shilin Luo, Roberto Tomás, Qinghui Jiang, Guoyang Fu and Jun He. Their work appears in journals such as Remote Sensing, International Journal of Rock Mechanics and Mining Sciences and Engineering Geology.

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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