Xianjun Pei

1.7k total citations · 1 hit paper
71 papers, 1.3k citations indexed

About

Xianjun Pei is a scholar working on Mechanical Engineering, Mechanics of Materials and Civil and Structural Engineering. According to data from OpenAlex, Xianjun Pei has authored 71 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Mechanical Engineering, 49 papers in Mechanics of Materials and 23 papers in Civil and Structural Engineering. Recurrent topics in Xianjun Pei's work include Fatigue and fracture mechanics (41 papers), Advanced Welding Techniques Analysis (26 papers) and Aluminum Alloys Composites Properties (11 papers). Xianjun Pei is often cited by papers focused on Fatigue and fracture mechanics (41 papers), Advanced Welding Techniques Analysis (26 papers) and Aluminum Alloys Composites Properties (11 papers). Xianjun Pei collaborates with scholars based in China, United States and France. Xianjun Pei's co-authors include Pingsha Dong, Shaopin Song, Shizhu Xing, Mingjiang Xie, Ping Wang, F.C. Liu, Jianli Zhao, Xiaochao Liu, Myung Hyun Kim and Hui Jin and has published in prestigious journals such as Progress in Materials Science, Sensors and Journal of Materials Processing Technology.

In The Last Decade

Xianjun Pei

66 papers receiving 1.2k citations

Hit Papers

Friction stir based welding, processing, extrusion and ad... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianjun Pei China 21 971 885 289 164 159 71 1.3k
Mirco D. Chapetti Argentina 21 1.0k 1.1× 1.0k 1.1× 242 0.8× 194 1.2× 407 2.6× 67 1.4k
Duyi Ye China 17 771 0.8× 820 0.9× 200 0.7× 131 0.8× 344 2.2× 33 1.0k
Dariusz Rozumek Poland 23 819 0.8× 936 1.1× 328 1.1× 65 0.4× 373 2.3× 112 1.2k
Reji John United States 20 700 0.7× 689 0.8× 284 1.0× 86 0.5× 452 2.8× 58 1.2k
De‐Guang Shang China 22 1.2k 1.2× 1.2k 1.4× 353 1.2× 64 0.4× 286 1.8× 124 1.6k
Damien Halm France 18 289 0.3× 786 0.9× 280 1.0× 222 1.4× 393 2.5× 45 1.1k
Changyu Zhou China 24 1.2k 1.3× 1.2k 1.4× 366 1.3× 110 0.7× 746 4.7× 164 1.8k
Fumiyoshi Minami Japan 17 1.3k 1.3× 1.1k 1.2× 231 0.8× 309 1.9× 477 3.0× 191 1.6k
Ayhan Ince Canada 23 1.2k 1.2× 1.3k 1.4× 366 1.3× 76 0.5× 257 1.6× 54 1.6k
Weiping Hu China 24 1.1k 1.1× 1.0k 1.2× 157 0.5× 84 0.5× 456 2.9× 79 1.5k

Countries citing papers authored by Xianjun Pei

Since Specialization
Citations

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

Fields of papers citing papers by Xianjun Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianjun Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Xianjun Pei. A scholar is included among the top collaborators of Xianjun Pei 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 Xianjun Pei. Xianjun Pei 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.
Pei, Xianjun, Xiaochao Liu, Wentao Li, et al.. (2025). Depth prediction of plastic vortex toward vortex flow-based friction stir additive manufacturing. Journal of Manufacturing Processes. 147. 127–132.
2.
Li, Wentao, Xiaochao Liu, Xianjun Pei, et al.. (2025). Elucidation of microstructure, mechanical properties and wear behavior in double-sided vortex flow-based friction stir welds of medium-thick titanium alloy plates. Journal of Materials Processing Technology. 342. 118951–118951.
3.
4.
Xie, Mingjiang, et al.. (2024). Remaining useful life prediction of pipelines considering the crack coupling effect using genetic algorithm-back propagation neural network. Thin-Walled Structures. 204. 112330–112330. 7 indexed citations
5.
Pei, Xianjun, Tang Gu, Mingjiang Xie, et al.. (2024). Generalizing multiaxial vibration fatigue criteria in the frequency domain: A data-driven approach. International Journal of Fatigue. 186. 108390–108390. 15 indexed citations
6.
Liu, Yong, Wenchun Jiang, Xianjun Pei, et al.. (2024). Notch structural stress theory: Part II predicting total fatigue lives of notched structures. International Journal of Fatigue. 182. 108201–108201. 5 indexed citations
8.
Xing, Shizhu, et al.. (2023). A novel elastic strain energy density approach for fatigue evaluation of welded components. Engineering Fracture Mechanics. 293. 109713–109713. 5 indexed citations
9.
Wei, Zhigang, Pingsha Dong, & Xianjun Pei. (2023). The structural strain method for fatigue evaluation of welded components: closed-form solutions. International Journal of Fatigue. 180. 108119–108119. 4 indexed citations
10.
Wang, Qinghua, Chao Liu, Huixin Wang, et al.. (2023). Laser-Heat Surface Treatment of Superwetting Copper Foam for Efficient Oil–Water Separation. Nanomaterials. 13(4). 736–736. 8 indexed citations
11.
Wei, Zhigang, et al.. (2023). A moment of load path-based parameter for modeling multiaxial fatigue damage of welded structures. International Journal of Fatigue. 171. 107575–107575. 13 indexed citations
12.
Liu, Xiaochao, et al.. (2023). Multiple effects of forced cooling on joint quality in coolant-assisted friction stir welding. Journal of Materials Research and Technology. 25. 4264–4276. 21 indexed citations
13.
Liu, Xiaochao, et al.. (2023). Effect of Process Parameters on Weld Quality in Vortex- Friction Stir Welding of 6061-T6 Aluminum Alloy. Materials. 16(2). 873–873. 9 indexed citations
14.
Dong, Pingsha, et al.. (2022). Fracture Mechanics Modeling of Fatigue Behaviors of Adhesive-Bonded Aluminum Alloy Components. Metals. 12(8). 1298–1298. 6 indexed citations
15.
Xing, Shizhu, et al.. (2022). Weld toe versus root fatigue failure mode and governing parameters: A study of aluminum alloy load-carrying fillet joints. Marine Structures. 88. 103344–103344. 15 indexed citations
16.
Pei, Xianjun, et al.. (2022). A Structural Stress Approach Accounting for Notch Effects on Fatigue Propagation Life: Part I Theory. International Journal of Fatigue. 159. 106793–106793. 13 indexed citations
17.
Wang, Ping, et al.. (2020). Fatigue resistance characterization of frictions stir welds between complex aluminum extrusions: An experimental and finite element study. International Journal of Fatigue. 141. 105861–105861. 21 indexed citations
18.
Pei, Xianjun, Pingsha Dong, & Myung Hyun Kim. (2020). A simplified structural strain method for low-cycle fatigue evaluation of girth-welded pipe components. International Journal of Fatigue. 139. 105732–105732. 47 indexed citations
19.
Wang, Ping, et al.. (2020). Analysis of weld root fatigue cracking in load-carrying high-strength aluminum alloy cruciform joints. International Journal of Fatigue. 139. 105735–105735. 26 indexed citations
20.
Pei, Xianjun, Pingsha Dong, & Shizhu Xing. (2019). A structural strain parameter for a unified treatment of fatigue behaviors of welded components. International Journal of Fatigue. 124. 444–460. 81 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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