Yiliang Tu

606 total citations
31 papers, 427 citations indexed

About

Yiliang Tu is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Yiliang Tu has authored 31 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Civil and Structural Engineering, 15 papers in Mechanics of Materials and 14 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Yiliang Tu's work include Geotechnical Engineering and Analysis (14 papers), Rock Mechanics and Modeling (12 papers) and Landslides and related hazards (12 papers). Yiliang Tu is often cited by papers focused on Geotechnical Engineering and Analysis (14 papers), Rock Mechanics and Modeling (12 papers) and Landslides and related hazards (12 papers). Yiliang Tu collaborates with scholars based in China and India. Yiliang Tu's co-authors include Xinrong Liu, Zuliang Zhong, Yafeng Han, Zhiyun Deng, Yayong Li, Yongquan Liu, Dongliang Li, Bin Zeng, Shulin Liu and Chuang Chen and has published in prestigious journals such as Construction and Building Materials, International Journal of Rock Mechanics and Mining Sciences and Engineering Geology.

In The Last Decade

Yiliang Tu

30 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiliang Tu China 11 284 207 194 164 53 31 427
Xiaoxu Tian China 10 301 1.1× 224 1.1× 224 1.2× 117 0.7× 29 0.5× 26 473
Meen-Wah Gui Taiwan 10 636 2.2× 250 1.2× 98 0.5× 103 0.6× 53 1.0× 37 693
İbrahim Ferid Öge Türkiye 10 161 0.6× 128 0.6× 241 1.2× 101 0.6× 37 0.7× 14 336
Peijun Guo Canada 15 395 1.4× 140 0.7× 96 0.5× 93 0.6× 64 1.2× 31 464
Yaqun Liu China 11 249 0.9× 96 0.5× 318 1.6× 166 1.0× 40 0.8× 30 443
Mariacristina Bonini Italy 11 415 1.5× 353 1.7× 422 2.2× 96 0.6× 27 0.5× 22 547
Xiongyu Hu China 16 528 1.9× 442 2.1× 185 1.0× 58 0.4× 35 0.7× 39 625
Mohammad Zaid India 16 348 1.2× 147 0.7× 241 1.2× 54 0.3× 20 0.4× 26 428
Qiru Sui China 8 161 0.6× 86 0.4× 203 1.0× 63 0.4× 32 0.6× 18 281
Qianwei Xu China 8 415 1.5× 325 1.6× 203 1.0× 75 0.5× 20 0.4× 21 496

Countries citing papers authored by Yiliang Tu

Since Specialization
Citations

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

Fields of papers citing papers by Yiliang Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiliang Tu

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

All Works

20 of 20 papers shown
1.
Tu, Yiliang, et al.. (2025). Prediction of maximum dynamic shear modulus of undisturbed marine soils in the eastern coast of China based on machine learning methods. Ocean Engineering. 321. 120382–120382. 2 indexed citations
2.
Tu, Yiliang, et al.. (2025). Efficient prediction of California bearing ratio in solid waste-cement-stabilized soil using improved hybrid extreme gradient boosting model. Materials Today Communications. 43. 111627–111627. 2 indexed citations
3.
Tu, Yiliang, et al.. (2025). Predicting the compressive strength of solid waste-cement stabilized compacted soil using machine learning model. Materials Today Communications. 44. 111882–111882. 4 indexed citations
4.
5.
Guo, Kai, et al.. (2024). Discharge and ignition mechanism of high-entropy alloy induced by crack propagation under quasi-static compressive load. Intermetallics. 170. 108312–108312. 4 indexed citations
6.
Tu, Yiliang, et al.. (2024). Comparative analysis on shear mechanical properties of soil- rock mixture under direct shear and simple shear tests. Construction and Building Materials. 444. 137830–137830. 7 indexed citations
7.
Tu, Yiliang, et al.. (2024). Hybrid XGB model for predicting unconfined compressive strength of solid waste-cement-stabilized cohesive soil. Construction and Building Materials. 449. 138242–138242. 16 indexed citations
8.
Tu, Yiliang, et al.. (2024). Shear mechanical properties of the interphase between the S–RM and benched bedrock using the FDM–DEM. Computers and Geotechnics. 167. 106105–106105. 7 indexed citations
9.
Xu, Qiang, et al.. (2024). Mechanism of structural defects in cut-and-cover tunnels within high-fill regions and gradient pile foundation reinforcement technology. Tunnelling and Underground Space Technology. 154. 106123–106123. 1 indexed citations
10.
Xu, Bin, Xinrong Liu, Xiaohan Zhou, et al.. (2024). Investigation of the Dynamic Response Pattern and Instability Mechanism of a Bedding Rock Slope Subjected to Frequent Seismic Loads. International Journal of Geomechanics. 24(7). 2 indexed citations
11.
Tu, Yiliang, Chuang Chen, & Enling Tang. (2024). Dynamic Constitutive Parameters Determination and Numerical Simulation Verification of HfZrTiTaNbCux High Entropy Alloy. Journal of Materials Engineering and Performance. 34(2). 1283–1292. 6 indexed citations
12.
Han, Yafeng, et al.. (2023). Effects of anti-pull ties on the bearing behaviors of shallow tunnel-type anchorages in soft rock. Journal of Mountain Science. 20(9). 2708–2730. 2 indexed citations
13.
Chen, Chuang, Yiliang Tu, Junlin Chen, & Enling Tang. (2023). Dynamic constitutive relationship of TiZrHfCu0.5 high entropy alloy based on Johnson-Cook model. Journal of Materials Research and Technology. 27. 3729–3740. 14 indexed citations
14.
Tu, Yiliang, et al.. (2022). The Strength Behavior and Desiccation Crack Development of Silty Clay Subjected to Wetting–Drying Cycles. Frontiers in Earth Science. 10. 7 indexed citations
15.
Liu, Xinrong, et al.. (2020). Optimized advance front method of packing dense ellipse for generating the convex polygon structure statistically equivalent with real material. Computational Particle Mechanics. 8(4). 791–812. 6 indexed citations
16.
Deng, Zhiyun, Xinrong Liu, Yongquan Liu, et al.. (2020). Model test and numerical simulation on the dynamic stability of the bedding rock slope under frequent microseisms. Earthquake Engineering and Engineering Vibration. 19(4). 919–935. 39 indexed citations
17.
Han, Yafeng, et al.. (2019). Model test on the bearing behaviors of the tunnel-type anchorage in soft rock with underlying weak interlayers. Bulletin of Engineering Geology and the Environment. 79(2). 1023–1040. 25 indexed citations
18.
19.
Liu, Xinrong, et al.. (2016). Internal force calculation and supporting parameters sensitivity analysis of side piles in the subway station excavated by Pile-Beam-Arch method. Tunnelling and Underground Space Technology. 56. 186–201. 27 indexed citations
20.
Tu, Yiliang, Xinrong Liu, Zuliang Zhong, & Yayong Li. (2016). New criteria for defining slope failure using the strength reduction method. Engineering Geology. 212. 63–71. 74 indexed citations

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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