Xiaopeng Niu

1.4k total citations · 1 hit paper
21 papers, 1.1k citations indexed

About

Xiaopeng Niu is a scholar working on Mechanics of Materials, Mechanical Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Xiaopeng Niu has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanics of Materials, 13 papers in Mechanical Engineering and 8 papers in Statistics, Probability and Uncertainty. Recurrent topics in Xiaopeng Niu's work include Fatigue and fracture mechanics (14 papers), Probabilistic and Robust Engineering Design (8 papers) and High Temperature Alloys and Creep (5 papers). Xiaopeng Niu is often cited by papers focused on Fatigue and fracture mechanics (14 papers), Probabilistic and Robust Engineering Design (8 papers) and High Temperature Alloys and Creep (5 papers). Xiaopeng Niu collaborates with scholars based in China, Iran and Portugal. Xiaopeng Niu's co-authors include Shun‐Peng Zhu, Behrooz Keshtegar, Changqi Luo, Jin-Chao He, Ding Liao, Qingyuan Wang, Osman Taylan, Xian‐Cheng Zhang, Run‐Zi Wang and Filippo Berto and has published in prestigious journals such as Progress in Materials Science, Computer Methods in Applied Mechanics and Engineering and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Xiaopeng Niu

21 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis

2021 170 citations Changqi Luo, Behrooz Keshtegar et al. Computer Methods in Applied Mechanics and Engineering profile →

Peers

Xiaopeng Niu

SPU

CSE

Changqi Luo China

Liyang Xie China

Yourui Tao China

Qinghe Shi China

Libin Duan China

Yingchun Bai China

Fabian Duddeck Germany

Zhao Jing China

Lassâad Walha Tunisia

Rajamohan Ganesan Canada

Changqi Luo China

Xiaopeng Niu

295 ×0.5

321 ×0.5

296 ×0.7

SPU

227 ×0.7

CSE

65 ×0.6

Citations per year, relative to Xiaopeng Niu Xiaopeng Niu (= 1×) peers Changqi Luo

Countries citing papers authored by Xiaopeng Niu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaopeng Niu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaopeng Niu

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

All Works

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20 of 20 papers shown

Niu, Xiaopeng, Chao He, Shun‐Peng Zhu, et al.. (2024). Defect sensitivity and fatigue design: Deterministic and probabilistic aspects in additively manufactured metallic materials. Progress in Materials Science. 144. 101290–101290. 46 indexed citations

Zhu, Shun‐Peng, Xiaopeng Niu, Behrooz Keshtegar, Changqi Luo, & Mansour Bagheri. (2023). Machine learning-based probabilistic fatigue assessment of turbine bladed disks under multisource uncertainties. International Journal of Structural Integrity. 14(6). 1000–1024. 38 indexed citations

Luo, Changqi, Shun‐Peng Zhu, Behrooz Keshtegar, Xiaopeng Niu, & Osman Taylan. (2023). An enhanced uniform simulation approach coupled with SVR for efficient structural reliability analysis. Reliability Engineering & System Safety. 237. 109377–109377. 63 indexed citations

Wang, Lanyi, Shun‐Peng Zhu, Changqi Luo, Xiaopeng Niu, & Jin-Chao He. (2023). Defect driven physics-informed neural network framework for fatigue life prediction of additively manufactured materials. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 381(2260). 20220386–20220386. 29 indexed citations

Zhu, Shun‐Peng, et al.. (2022). Load path sensitivity and multiaxial fatigue life prediction of metals under non-proportional loadings. International Journal of Fatigue. 166. 107281–107281. 33 indexed citations

Luo, Changqi, Behrooz Keshtegar, Shun‐Peng Zhu, & Xiaopeng Niu. (2022). EMCS-SVR: Hybrid efficient and accurate enhanced simulation approach coupled with adaptive SVR for structural reliability analysis. Computer Methods in Applied Mechanics and Engineering. 400. 115499–115499. 88 indexed citations

He, Jin-Chao, et al.. (2022). Evaluation of critical distance, highly stressed volume, and weakest-link methods in notch fatigue analysis. International Journal of Fatigue. 162. 106950–106950. 32 indexed citations

Niu, Xiaopeng, Shun‐Peng Zhu, Jin-Chao He, et al.. (2022). Defect tolerant fatigue assessment of AM materials: Size effect and probabilistic prospects. International Journal of Fatigue. 160. 106884–106884. 138 indexed citations

Niu, Xiaopeng, Shun‐Peng Zhu, Jin-Chao He, Changqi Luo, & Qingyuan Wang. (2022). Probabilistic and defect tolerant fatigue assessment of AM materials under size effect. Engineering Fracture Mechanics. 277. 109000–109000. 15 indexed citations

10.

Ye, Wenlong, Shun‐Peng Zhu, Xiaopeng Niu, Jin-Chao He, & José A.F.O. Correia. (2022). Fatigue life prediction of notched components under size effect using critical distance theory. Theoretical and Applied Fracture Mechanics. 121. 103519–103519. 26 indexed citations

11.

He, Jin-Chao, Shun‐Peng Zhu, Changqi Luo, Xiaopeng Niu, & Qingyuan Wang. (2022). Size effect in fatigue modelling of defective materials: Application of the calibrated weakest-link theory. International Journal of Fatigue. 165. 107213–107213. 61 indexed citations

12.

Niu, Xiaopeng, et al.. (2021). Fatigue reliability design and assessment of reactor pressure vessel structures: Concepts and validation. International Journal of Fatigue. 153. 106524–106524. 25 indexed citations

13.

Zhu, Shun‐Peng, et al.. (2021). Fatigue life prediction of notched components under size effect using stress gradient-based approach. International Journal of Fracture. 234(1-2). 249–261. 23 indexed citations

14.

Luo, Changqi, et al.. (2021). Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis. Computer Methods in Applied Mechanics and Engineering. 388. 114218–114218. 170 indexed citations breakdown →

15.

He, Jin-Chao, Shun‐Peng Zhu, Ding Liao, et al.. (2020). Combined TCD and HSV approach for probabilistic assessment of notch fatigue considering size effect. Engineering Failure Analysis. 120. 105093–105093. 33 indexed citations

16.

Li, Yizhao, Shun‐Peng Zhu, Ding Liao, & Xiaopeng Niu. (2020). Probabilistic modeling of fatigue crack growth and experimental verification. Engineering Failure Analysis. 118. 104862–104862. 21 indexed citations

17.

Niu, Xiaopeng, Run‐Zi Wang, Ding Liao, et al.. (2020). Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks. International Journal of Fatigue. 142. 105912–105912. 172 indexed citations

18.

He, Jin-Chao, Shun‐Peng Zhu, Ding Liao, & Xiaopeng Niu. (2020). Probabilistic fatigue assessment of notched components under size effect using critical distance theory. Engineering Fracture Mechanics. 235. 107150–107150. 95 indexed citations

19.

Niu, Xiaopeng, et al.. (2018). Extreme Learning Machine-Based Deep Model for Human Activity Recognition With Wearable Sensors. Computing in Science & Engineering. 21(5). 16–25. 10 indexed citations

20.

Niu, Xiaopeng, Zhiliang Wang, Wendong Xiao, & Zhigeng Pan. (2016). Uncertainty Sampling Based Posterior Probability Extreme Learning Machine for Human Activity Recognition. International Journal of Smart Home. 10(11). 95–108. 4 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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