Liujun Wu

501 total citations · 1 hit paper
18 papers, 386 citations indexed

About

Liujun Wu is a scholar working on Mechanical Engineering, Health and Materials Chemistry. According to data from OpenAlex, Liujun Wu has authored 18 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 4 papers in Health and 4 papers in Materials Chemistry. Recurrent topics in Liujun Wu's work include Surface Treatment and Residual Stress (6 papers), Additive Manufacturing Materials and Processes (4 papers) and High Entropy Alloys Studies (4 papers). Liujun Wu is often cited by papers focused on Surface Treatment and Residual Stress (6 papers), Additive Manufacturing Materials and Processes (4 papers) and High Entropy Alloys Studies (4 papers). Liujun Wu collaborates with scholars based in China and United States. Liujun Wu's co-authors include Jinzhong Lu, Kaiyu Luo, Jie Cai, Haifei Lu, Xiang Xu, Zhao Wang, Huiliang Wei, Weiwei Deng, Youyu Su and Zhanfeng Wang and has published in prestigious journals such as Materials Science and Engineering A, Frontiers in Microbiology and Corrosion Science.

In The Last Decade

Liujun Wu

15 papers receiving 370 citations

Hit Papers

Microstructural evolution and tensile property enhancemen... 2022 2026 2023 2024 2022 40 80 120
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. Microstructural evolution and tensile property enhancement of remanufactured Ti6Al4V using hybrid manufacturing of laser directed energy deposition with laser shock peening
    2022 138 citations Haifei Lu, Liujun Wu et al. Additive manufacturing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liujun Wu China 8 344 156 65 54 52 18 386
Jiaxuan Chi China 12 573 1.7× 238 1.5× 120 1.8× 44 0.8× 68 1.3× 15 597
Youyu Su China 11 361 1.0× 121 0.8× 84 1.3× 88 1.6× 40 0.8× 12 389
Lisheng Zuo China 11 409 1.2× 153 1.0× 109 1.7× 38 0.7× 124 2.4× 19 423
Weiwei Deng China 10 495 1.4× 230 1.5× 129 2.0× 52 1.0× 84 1.6× 14 533
Liang Lan China 12 461 1.3× 191 1.2× 77 1.2× 31 0.6× 45 0.9× 34 496
Bo He China 11 551 1.6× 188 1.2× 67 1.0× 56 1.0× 46 0.9× 33 577
Guoxin Lu China 11 323 0.9× 145 0.9× 97 1.5× 48 0.9× 84 1.6× 42 358
Xinyuan Jin China 8 355 1.0× 113 0.7× 41 0.6× 55 1.0× 43 0.8× 15 364
Ruslan Karimbaev South Korea 11 435 1.3× 193 1.2× 163 2.5× 36 0.7× 93 1.8× 13 467
Junliang Xue China 11 259 0.8× 100 0.6× 40 0.6× 40 0.7× 11 0.2× 17 312

Countries citing papers authored by Liujun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Liujun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liujun Wu

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

All Works

18 of 18 papers shown
1.
Shen, Guanghui, Juan Fang, Shaochang Wu, et al.. (2025). Interplay of social integration, well-being, and fairness in older migrant workers: a four -year longitudinal analysis. Population Health Metrics. 23(1). 47–47.
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Shen, Guanghui, Jiayi Tang, Juan Fang, et al.. (2024). Family and job microsystems as mediators between social integration and depression among rural-to-urban migrant workers in China: does having sons make a difference?. Frontiers in Public Health. 12. 1406451–1406451. 1 indexed citations
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Zhou, Fan, Lijing Chen, Huai Li, et al.. (2023). RETN gene polymorphisms interact with alcohol dependence in association with depression. Journal of Clinical Laboratory Analysis. 37(11-12). e24933–e24933. 2 indexed citations
7.
Wu, Yu‐Yu, Ke Zhao, Yingjie Chen, et al.. (2023). The interaction between the major vault protein rs4788186 polymorphism, alcohol dependence, and depression among male Chinese problem drinkers. Frontiers in Psychiatry. 14. 1111712–1111712. 2 indexed citations
8.
Wu, Liujun, Jinfang Liu, Weiwei Deng, et al.. (2023). Improvement of strength-ductility synergy of Mg–Al–Mn alloy using laser shock peening-induced gradient nanostructure. Materials Science and Engineering A. 871. 144844–144844. 30 indexed citations
9.
Shen, Guanghui, Liujun Wu, Yingjie Chen, et al.. (2023). The oxytocin receptor rs2254298 polymorphism and alcohol withdrawal symptoms: a gene–environment interaction in mood disorders. Frontiers in Psychiatry. 14. 1085429–1085429. 2 indexed citations
10.
Wu, Liujun, et al.. (2022). Multi-robot collaborative SLAM Based on optimized ORB. 3578–3583. 1 indexed citations
11.
Li, Gang, et al.. (2022). Highly Effective Markerless Genetic Manipulation of Streptococcus suis Using a Mutated PheS-Based Counterselectable Marker. Frontiers in Microbiology. 13. 947821–947821. 4 indexed citations
12.
Wang, Zhao, Haifei Lu, Jie Cai, et al.. (2022). Improvement mechanism in stress corrosion resistance of the X70 pipeline steel in hydrogen sulfide solution by massive laser shock peening treatment. Corrosion Science. 201. 110293–110293. 37 indexed citations
13.
Lu, Haifei, Liujun Wu, Huiliang Wei, et al.. (2022). Microstructural evolution and tensile property enhancement of remanufactured Ti6Al4V using hybrid manufacturing of laser directed energy deposition with laser shock peening. Additive manufacturing. 55. 102877–102877. 138 indexed citations breakdown →
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Wang, Zhao, et al.. (2022). Strain rate dependence of tensile properties and strengthening mechanism of Ti6Al4V alloy undergoing different coverage layers of laser shock peening. Surface and Coatings Technology. 447. 128807–128807. 11 indexed citations
16.
Wang, Zhao, et al.. (2022). High temperature oxidation and hot corrosion behaviors of Fe65.7Ni11.7Ti1Mo6.6Co15 high entropy alloy. Materials Today Communications. 32. 104063–104063. 16 indexed citations
17.
Wu, Liujun, et al.. (2022). Microstructure and mechanical properties of directed energy deposited 316L/Ti6Al4V functionally graded materials via constant/gradient power. Materials Science and Engineering A. 839. 142870–142870. 22 indexed citations
18.
Lu, Haifei, Zhao Wang, Jie Cai, et al.. (2021). Effects of laser shock peening on the hot corrosion behaviour of the selective laser melted Ti6Al4V titanium alloy. Corrosion Science. 188. 109558–109558. 96 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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