Yi Shuai

796 total citations
33 papers, 554 citations indexed

About

Yi Shuai is a scholar working on Mechanical Engineering, Materials Chemistry and Metals and Alloys. According to data from OpenAlex, Yi Shuai has authored 33 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mechanical Engineering, 18 papers in Materials Chemistry and 17 papers in Metals and Alloys. Recurrent topics in Yi Shuai's work include Structural Integrity and Reliability Analysis (21 papers), Corrosion Behavior and Inhibition (18 papers) and Hydrogen embrittlement and corrosion behaviors in metals (17 papers). Yi Shuai is often cited by papers focused on Structural Integrity and Reliability Analysis (21 papers), Corrosion Behavior and Inhibition (18 papers) and Hydrogen embrittlement and corrosion behaviors in metals (17 papers). Yi Shuai collaborates with scholars based in China, Canada and Japan. Yi Shuai's co-authors include Jian Shuai, Y. Frank Cheng, Xinhua Wang, Kui Xu, Xiao Zhang, Junqiang Wang, Junyan Han, Xiao Zhang, Dong Xie and Tiantian Wang and has published in prestigious journals such as International Journal of Biological Macromolecules, International Journal of Solids and Structures and Journal of Electroanalytical Chemistry.

In The Last Decade

Yi Shuai

28 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Shuai China 15 438 337 217 179 90 33 554
G. Wang United States 8 353 0.8× 334 1.0× 159 0.7× 201 1.1× 109 1.2× 10 511
Omar Bouledroua Algeria 12 263 0.6× 236 0.7× 200 0.9× 77 0.4× 139 1.5× 26 429
Jinheng Luo China 15 358 0.8× 280 0.8× 137 0.6× 56 0.3× 154 1.7× 51 543
Bianca Pinheiro Brazil 11 307 0.7× 148 0.4× 107 0.5× 137 0.8× 209 2.3× 27 449
D. Rivas Mexico 10 368 0.8× 384 1.1× 311 1.4× 135 0.8× 133 1.5× 27 594
Kenneth A. Macdonald Norway 11 452 1.0× 225 0.7× 185 0.9× 175 1.0× 258 2.9× 28 589
Valerie Linton Australia 10 354 0.8× 174 0.5× 155 0.7× 48 0.3× 67 0.7× 35 500
J. Capelle France 14 297 0.7× 486 1.4× 424 2.0× 91 0.5× 355 3.9× 47 735
R. Kieselbach Switzerland 7 222 0.5× 208 0.6× 194 0.9× 108 0.6× 218 2.4× 11 467
S. Saad-Eldeen Portugal 17 672 1.5× 490 1.5× 171 0.8× 418 2.3× 177 2.0× 33 751

Countries citing papers authored by Yi Shuai

Since Specialization
Citations

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

Fields of papers citing papers by Yi Shuai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Shuai

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Shuai. A scholar is included among the top collaborators of Yi Shuai 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 Yi Shuai. Yi Shuai 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.
Li, Yan, et al.. (2025). A novel assessment method for residual strength of CO2 pipelines with multiple defects based on RF-MLP. Reliability Engineering & System Safety. 261. 111088–111088. 3 indexed citations
2.
Chen, Zhanfeng, et al.. (2025). Wrinkle behavior of adhesive lined pipe under cyclic bending. International Journal of Solids and Structures. 320. 113531–113531.
3.
Shuai, Yi, Hao Wang, Junqiang Wang, et al.. (2025). An efficient method for determining the constitutive relationships of pipeline girth welded joints based on micro-area material testing and machine learning. International Journal of Pressure Vessels and Piping. 217. 105570–105570. 1 indexed citations
4.
Liu, Yuxin, et al.. (2025). Transcriptomics and metabolomics revealed the effects of Polygonatum Rhizoma polysaccharide on delaying C. elegans senescence and ameliorating Alzheimer's disease. International Journal of Biological Macromolecules. 327(Pt 2). 147375–147375.
5.
Shuai, Jian, et al.. (2024). The study on fracture response of cracked pipeline considering the Lüders effect. Ocean Engineering. 312. 119279–119279.
6.
Shuai, Yi, et al.. (2024). A novel framework for predicting the burst pressure of energy pipelines with clustered corrosion defects. Thin-Walled Structures. 205. 112413–112413. 9 indexed citations
7.
Shuai, Yi, et al.. (2024). Study on fracture behaviour of pipeline girth welds based on curved wide plate specimens: Experimental and numerical analysis. Engineering Fracture Mechanics. 311. 110522–110522. 4 indexed citations
8.
Shuai, Yi, et al.. (2024). Study on J-integral plasticity factor of high-grade pipeline girth welded joints based on SENT specimen. International Journal of Pressure Vessels and Piping. 214. 105419–105419.
9.
Liu, Chang, et al.. (2024). Effect of nutrient concentration on corrosion mechanism of X80 pipeline steel caused by sulfate-reducing bacteria. Journal of Electroanalytical Chemistry. 956. 118096–118096. 4 indexed citations
10.
11.
Shuai, Yi, et al.. (2022). Efficient prediction method of triple failure pressure for corroded pipelines under complex loads based on a backpropagation neural network. Reliability Engineering & System Safety. 231. 108990–108990. 33 indexed citations
12.
Mu, Rui, Bo Chen, Bo Bi, et al.. (2022). LIM Mineralization Protein-1 Enhances the Committed Differentiation of Dental Pulp Stem Cells through the ERK1/2 and p38 MAPK Pathways and BMP Signaling. International Journal of Medical Sciences. 19(8). 1307–1319. 4 indexed citations
13.
Shuai, Yi, et al.. (2021). Stability of Hydraulic Rod Based on Orthogonal Test and Neural Network. Chinese Hydraulics & Pneumatics. 16. 1 indexed citations
14.
Han, Junyan, et al.. (2021). Seismic Response of Parallel Double Pipelines to Longitudinal Ground Motions. Journal of Pipeline Systems Engineering and Practice. 13(1). 2 indexed citations
15.
Wang, Junqiang, et al.. (2021). Ultimate strain capacity assessment of local buckling of pipelines with kinked dents subjected to bending loads. Thin-Walled Structures. 169. 108369–108369. 14 indexed citations
16.
Shuai, Yi, et al.. (2021). Modeling of mechanical behavior of corroded X80 steel pipeline reinforced with type-B repair sleeve. Thin-Walled Structures. 163. 107708–107708. 31 indexed citations
17.
Shuai, Yi, et al.. (2019). Mechanical behavior investigation on the formation of the plain dent of an API 5L L245 pipeline subjected to concentrated lateral load. Engineering Failure Analysis. 108. 104189–104189. 22 indexed citations
18.
Shuai, Yi, Jian Shuai, & Xiao Zhang. (2018). Experimental and numerical investigation of the strain response of a dented API 5L X52 pipeline subjected to continuously increasing internal pressure. Journal of Natural Gas Science and Engineering. 56. 81–92. 46 indexed citations
19.
Shuai, Yi, Jian Shuai, & Kui Xu. (2017). Probabilistic analysis of corroded pipelines based on a new failure pressure model. Engineering Failure Analysis. 81. 216–233. 107 indexed citations
20.
Zhang, Xiang, et al.. (1998). Transsphenoidal microsurgical removal of large pituitary adenomas.. PubMed. 111(11). 963–7. 10 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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