Kanglei Song

17 papers receiving 675 citations

Kanglei Song's Hit Papers

Automated Recognition Model of Geomechanical Information Based on Operational Data of Tunneling Boring Machines 2022 · 142 citations
1420+2+4Years since publication50100150

Peers

Kanglei Song
Comparison fields: 5 of 67
  • Civil and Structural Engineering 380
  • Nuclear Energy and Engineering 6
  • Management, Monitoring, Policy and Law 155
  • Mechanics of Materials 273
  • Ocean Engineering 138
Replace Shivakumar Karekal with:
Shivakumar Karekal Australia
Zhong Qi Yue Hong Kong
Zhihong Nie China
Michał Nitka Poland
Qingwen Ren China
Chunyang Zhang China
Julien Baroth France
Shihai Li China
Kanglei Song relative to Shivakumar Karekal Australia Shivakumar Karekal's profile →
Citations per field
00.5×1.5×2.5×
Shivakumar Karekal · 1×
Citations per year

Countries citing papers authored by Kanglei Song

Since Specialization
Citations

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

Fields of papers citing papers by Kanglei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Kanglei 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 Kanglei Song Line = papers co-authored together Kanglei Song links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
A new hybrid grey wolf optimizer-feature weighted-multiple kernel-support vector regression technique to predict TBM performance
Hit paper breakdown →
2020187
2
Automated Recognition Model of Geomechanical Information Based on Operational Data of Tunneling Boring Machines
Hit paper breakdown →
2022142
3 202164
4 202361
5 202356
6 202342
7 202229
8 202220
9 202218
10 202317
11 202115
12 202411
13 20229
14 20244
15 20214
16 20232
17 20221

About Kanglei Song

Kanglei Song is a scholar working on Civil and Structural Engineering, Management, Monitoring, Policy and Law, Mechanics of Materials, Ocean Engineering and Mechanical Engineering, having authored 17 papers that have together received 682 indexed citations. Recurring topics across this work include Tunneling and Rock Mechanics (8 papers), Landslides and related hazards (8 papers), Drilling and Well Engineering (7 papers), Rock Mechanics and Modeling (6 papers), Cryospheric studies and observations (3 papers), Dam Engineering and Safety (3 papers), Hydrology and Sediment Transport Processes (2 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (2 papers). The work is most often cited by research in Civil and Structural Engineering (380 citations), Nuclear Energy and Engineering (6 citations), Management, Monitoring, Policy and Law (155 citations), Mechanics of Materials (273 citations) and Ocean Engineering (138 citations). Kanglei Song has collaborated with scholars based in China, Switzerland and Australia. Frequent co-authors include Haiqing Yang, Zhihui Wang, Lichuan Chen, Lili Qu, Michel Jaboyedoff, Xiaohu Ren, Huang Wei, Xinchang Liu, Chiwei Chen and Yuhan Zhang. Their work appears in journals such as Rock Mechanics and Rock Engineering, Bulletin of Engineering Geology and the Environment, Engineering Geology, Journal of Rock Mechanics and Geotechnical Engineering and Journal of Hydrology.

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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