Kanglei Song

810 total citations · 2 hit papers
17 papers, 642 citations indexed

About

Kanglei Song is a scholar working on Civil and Structural Engineering, Management, Monitoring, Policy and Law and Mechanics of Materials. According to data from OpenAlex, Kanglei Song has authored 17 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Civil and Structural Engineering, 8 papers in Management, Monitoring, Policy and Law and 7 papers in Mechanics of Materials. Recurrent topics in Kanglei Song's work include Tunneling and Rock Mechanics (8 papers), Landslides and related hazards (8 papers) and Drilling and Well Engineering (7 papers). Kanglei Song is often cited by papers focused on Tunneling and Rock Mechanics (8 papers), Landslides and related hazards (8 papers) and Drilling and Well Engineering (7 papers). Kanglei Song collaborates with scholars based in China, Australia and Switzerland. Kanglei Song's co-authors include Haiqing Yang, Zhihui Wang, Lichuan Chen, Lili Qu, Michel Jaboyedoff, Xinchang Liu, Huang Wei, Xiaohu Ren, Yuhan Zhang and Dan Liang and has published in prestigious journals such as Journal of Hydrology, Physics of Fluids and Engineering Geology.

In The Last Decade

Kanglei Song

17 papers receiving 628 citations

Hit Papers

A new hybrid grey wolf optimizer-feature weighted-multipl... 2020 2026 2022 2024 2020 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A new hybrid grey wolf optimizer-feature weighted-multiple kernel-support vector regression technique to predict TBM performance
    2020 185 citations Haiqing Yang, Zhihui Wang et al. Engineering With Computers profile →
  2. Automated Recognition Model of Geomechanical Information Based on Operational Data of Tunneling Boring Machines
    2022 136 citations Haiqing Yang, Kanglei Song et al. Rock Mechanics and Rock Engineering profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kanglei Song China 11 363 257 152 148 131 17 642
Shihai Li China 14 265 0.7× 326 1.3× 143 0.9× 128 0.9× 131 1.0× 53 616
Chunyang Zhang China 14 286 0.8× 468 1.8× 129 0.8× 309 2.1× 111 0.8× 52 745
Shivakumar Karekal Australia 16 392 1.1× 485 1.9× 176 1.2× 119 0.8× 237 1.8× 49 808
Yuexiang Lin China 15 433 1.2× 222 0.9× 133 0.9× 81 0.5× 100 0.8× 28 641
Pengfei Shan China 21 332 0.9× 639 2.5× 122 0.8× 162 1.1× 190 1.5× 46 923
Ben‐Guo He China 16 371 1.0× 494 1.9× 68 0.4× 205 1.4× 162 1.2× 91 853
Qijun Hu China 14 255 0.7× 126 0.5× 58 0.4× 71 0.5× 69 0.5× 53 544
Xuzhen He Australia 19 828 2.3× 164 0.6× 134 0.9× 308 2.1× 146 1.1× 70 1.1k

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-authorship network of co-authors of Kanglei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Kanglei Song. A scholar is included among the top collaborators of Kanglei Song 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 Kanglei Song. Kanglei Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Wang, Yong-Yi, et al.. (2024). The Energy Characteristics of Columnar Jointed Basalt Size Effect Considering the Occurrence Sequence and Magnitude of Micro-cracks. Rock Mechanics and Rock Engineering. 57(12). 11139–11175. 3 indexed citations
2.
3.
Yang, Haiqing, et al.. (2023). Potential sliding zone recognition method for the slow-moving landslide based on the Hurst exponent. Journal of Rock Mechanics and Geotechnical Engineering. 16(10). 4105–4124. 12 indexed citations
4.
Song, Kanglei, et al.. (2023). Step-like displacement prediction and failure mechanism analysis of slow-moving reservoir landslide. Journal of Hydrology. 628. 130588–130588. 55 indexed citations
5.
Song, Kanglei, et al.. (2023). Assessment and Mechanism Analysis of Forest Protection against Rockfall in a Large Rock Avalanche Area. Forests. 14(10). 1982–1982. 2 indexed citations
6.
Yang, Haiqing, et al.. (2023). Dissolution feature differences of carbonate rock within hydro-fluctuation belt located in the Three Gorges Reservoir Area. Engineering Geology. 327. 107362–107362. 38 indexed citations
7.
Yang, Haiqing, Kanglei Song, Lichuan Chen, & Lili Qu. (2023). Hysteresis effect and seasonal step-like creep deformation of the Jiuxianping landslide in the Three Gorges Reservoir region. Engineering Geology. 317. 107089–107089. 51 indexed citations
8.
Song, Kanglei, Haiqing Yang, & Zhihui Wang. (2022). A hybrid stacking framework optimized method for TBM performance prediction. Bulletin of Engineering Geology and the Environment. 82(1). 16 indexed citations
9.
Song, Kanglei, et al.. (2022). An Optimization Methodology of Cutter-Spacing for Efficient Mechanical Breaking of Jointed Rock Mass. Rock Mechanics and Rock Engineering. 55(6). 3301–3316. 17 indexed citations
10.
Song, Kanglei, et al.. (2022). Risk assessment on the stability of barrier dam induced by Caijiaba landslide, SW China. Bulletin of Engineering Geology and the Environment. 81(6). 8 indexed citations
11.
Yang, Haiqing, et al.. (2022). Automated Recognition Model of Geomechanical Information Based on Operational Data of Tunneling Boring Machines. Rock Mechanics and Rock Engineering. 55(3). 1499–1516. 136 indexed citations breakdown →
12.
Song, Kanglei, et al.. (2022). Macro-Mesoscopic Fragmentation Characteristics of Rock Beneath Disc Cutters Subjected to the Thermo-Mechanical Coupling Action. Journal of Mining Science. 58(2). 212–226. 1 indexed citations
13.
Yang, Haiqing, Xinchang Liu, & Kanglei Song. (2022). A novel gradient boosting regression tree technique optimized by improved sparrow search algorithm for predicting TBM penetration rate. Arabian Journal of Geosciences. 15(6). 28 indexed citations
14.
Chen, Lichuan, et al.. (2021). Failure mechanisms and characteristics of the Zhongbao landslide at Liujing Village, Wulong, China. Landslides. 18(4). 1445–1457. 62 indexed citations
15.
Yang, Haiqing, et al.. (2021). Experimental study on the effects of physical conditions on the interaction between debris flow and baffles. Physics of Fluids. 33(5). 14 indexed citations
16.
Song, Kanglei, Bolong Liu, & Haiqing Yang. (2021). Experimental Study on the Evolution of Argillization of Mudstone and Cutter Wear during the TBM Tunnelling. Shock and Vibration. 2021(1). 4 indexed citations
17.
Yang, Haiqing, Zhihui Wang, & Kanglei Song. (2020). A new hybrid grey wolf optimizer-feature weighted-multiple kernel-support vector regression technique to predict TBM performance. Engineering With Computers. 38(3). 2469–2485. 185 indexed citations breakdown →

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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