Aijun Huang

6.8k total citations · 4 hit papers
189 papers, 5.3k citations indexed

About

Aijun Huang is a scholar working on Mechanical Engineering, Materials Chemistry and Automotive Engineering. According to data from OpenAlex, Aijun Huang has authored 189 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 159 papers in Mechanical Engineering, 89 papers in Materials Chemistry and 56 papers in Automotive Engineering. Recurrent topics in Aijun Huang's work include Additive Manufacturing Materials and Processes (115 papers), High Entropy Alloys Studies (63 papers) and Titanium Alloys Microstructure and Properties (60 papers). Aijun Huang is often cited by papers focused on Additive Manufacturing Materials and Processes (115 papers), High Entropy Alloys Studies (63 papers) and Titanium Alloys Microstructure and Properties (60 papers). Aijun Huang collaborates with scholars based in Australia, China and United Kingdom. Aijun Huang's co-authors include Xinhua Wu, Yuman Zhu, Kai Zhang, Paul Rometsch, D. Hu, Qingbo Jia, Kun Yang, Chao Voon Samuel Lim, C.H.J. Davies and Matthew Weyland and has published in prestigious journals such as Nature Communications, Nature Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Aijun Huang

172 papers receiving 5.1k citations

Hit Papers

Selective laser melting of a high strength Al Mn Sc alloy... 2019 2026 2021 2023 2019 2022 2022 2022 100 200 300
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. Selective laser melting of a high strength Al Mn Sc alloy: Alloy design and strengthening mechanisms
    2019 387 citations Aijun Huang, Matthew Weyland et al. profile →
  2. Review of high-strength aluminium alloys for additive manufacturing by laser powder bed fusion
    2022 206 citations Yuman Zhu, Xinhua Wu et al. Materials & Design profile →
  3. A critical review on the effects of process-induced porosity on the mechanical properties of alloys fabricated by laser powder bed fusion
    2022 158 citations Wen Hao Kan, Chao Voon Samuel Lim et al. profile →
  4. Ultrastrong nanotwinned titanium alloys through additive manufacturing
    2022 143 citations Yuman Zhu, Kun Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aijun Huang Australia 41 4.8k 2.1k 1.9k 701 575 189 5.3k
Naoki Takata Japan 35 3.4k 0.7× 1.4k 0.6× 1.4k 0.7× 740 1.1× 467 0.8× 183 3.8k
Eric A. Jägle Germany 31 4.4k 0.9× 1.3k 0.6× 1.6k 0.8× 706 1.0× 398 0.7× 83 4.8k
Andreas Weisheit Germany 34 3.5k 0.7× 878 0.4× 1.3k 0.7× 691 1.0× 537 0.9× 101 3.9k
Fei Weng China 31 3.5k 0.7× 1.3k 0.6× 651 0.3× 988 1.4× 846 1.5× 66 3.8k
Makoto Kobashi Japan 34 3.5k 0.7× 988 0.5× 1.6k 0.8× 588 0.8× 492 0.9× 244 4.1k
Kee‐Ahn Lee South Korea 35 3.8k 0.8× 1.2k 0.5× 852 0.4× 1.7k 2.4× 489 0.9× 259 4.2k
Qian Lei China 37 3.5k 0.7× 2.7k 1.3× 508 0.3× 1.9k 2.6× 562 1.0× 184 4.4k
Zhishui Yu China 40 3.5k 0.7× 1.1k 0.5× 405 0.2× 853 1.2× 960 1.7× 164 4.3k
Zemin Wang China 36 4.8k 1.0× 1.3k 0.6× 2.4k 1.3× 415 0.6× 305 0.5× 79 5.1k

Countries citing papers authored by Aijun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Aijun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aijun Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Aijun Huang. A scholar is included among the top collaborators of Aijun Huang 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 Aijun Huang. Aijun Huang 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.
Huang, Aijun, et al.. (2026). Complete genome characterization of Diaphorina citri picorna-like virus from China and a proposal for the new family Psylloidiviridae. Journal of Invertebrate Pathology. 216. 108562–108562.
2.
Liu, Yong, Jianwen Liu, Hongfei Zhang, et al.. (2025). Martensite decomposition and its effect on mechanical performance in laser powder bed fusion Ti–6.5Al–2Zr–1Mo–1V alloy. Materials Science and Engineering A. 937. 148449–148449. 2 indexed citations
3.
Shen, Haopeng, et al.. (2025). Influence of remelting sequence on defect generation and high-temperature mechanical properties in laser powder bed fusion of IN718 alloys. Additive manufacturing. 109. 104854–104854. 1 indexed citations
4.
Lu, Jiaqi, Zhifeng Huang, Yang Liu, et al.. (2024). Thermodynamic ripening induced multi-modal precipitation strengthened NiTi shape memory alloys by directed energy deposition. Additive manufacturing. 92. 104374–104374. 3 indexed citations
5.
Wang, Hao, Shang Gao, Kai Zhang, et al.. (2024). Recent advances in machine learning-assisted fatigue life prediction of additive manufactured metallic materials: A review. Journal of Material Science and Technology. 198. 111–136. 54 indexed citations
6.
Chiu, Louis N.S., et al.. (2024). Understanding the dynamics of in-situ micro-rolling in directed energy deposition using thermo-mechanical finite-element analyses. Finite Elements in Analysis and Design. 238. 104194–104194. 3 indexed citations
7.
Hu, Xiao, et al.. (2024). Application of melt pool profiles for parameter calibration of Goldak’s heat source model. Additive manufacturing. 92. 104379–104379. 1 indexed citations
8.
Yang, Yi, Hui Xing, Fuzhou Han, et al.. (2024). Formation mechanism of ultrafine α+β structure in Ti-6Al-4V alloy during β→αm→α+β continuous phase transformation. Scripta Materialia. 246. 116066–116066. 8 indexed citations
9.
Zhang, Huawei, et al.. (2024). Investigation of microstructure evolution and its effect mechanism on high temperature tensile properties of 304L stainless steel processed by laser powder bed fusion. Materials Science and Engineering A. 912. 146969–146969. 2 indexed citations
10.
Liu, Yang, Chi Zhang, Zhifeng Huang, et al.. (2024). Heterogeneous microstructure and tensile properties of HA188/SS316L functionally graded materials prepared by laser directed energy deposition. Optics & Laser Technology. 181. 111770–111770.
11.
Zhu, Yuman, et al.. (2024). 3D-printed surfaces of titanium implant: the fibroblasts response. Biomaterials Advances. 166. 214006–214006.
12.
Liu, Minghao, Kai Zhang, Jianwen Liu, et al.. (2024). High-temperature high cycle fatigue performance of laser powder bed fusion fabricated Hastelloy X: Study into the microstructure and oxidation effects. Materials & Design. 243. 113037–113037. 8 indexed citations
13.
DeBeer‐Schmitt, Lisa, et al.. (2024). Dissolution zone model of the oxide structure in additively manufactured dispersion-strengthened alloys. Additive manufacturing. 96. 104554–104554. 5 indexed citations
14.
Liu, Minghao, Qi Zeng, Kai Zhang, et al.. (2023). Revealing the interrelation between process parameters and microstructure to promote the mechanical performance for Hastelloy-X. Vacuum. 210. 111851–111851. 10 indexed citations
15.
Liu, Yang, Zhifeng Huang, Chi Zhang, et al.. (2023). Tailoring microstructure and twin-induced work hardening of a laser powder bed fusion manufactured Haynes 188 alloy. Materials Science and Engineering A. 891. 145925–145925. 11 indexed citations
16.
Kan, Wen Hao, Huizhi Peng, Samuel Chao Voon Lim, et al.. (2023). The mechanisms behind the tribological behavior of titanium alloys processed by laser powder bed fusion sliding against steel. Tribology International. 180. 108279–108279. 13 indexed citations
17.
Heilmaier, Martin, Huizhi Peng, Shuai Huang, et al.. (2023). The effect of carbides on the creep performance of Hastelloy X fabricated by laser powder bed fusion. Materials Science and Engineering A. 875. 145116–145116. 21 indexed citations
18.
Lim, Chao Voon Samuel, et al.. (2021). Unravelling the competitive effect of microstructural features on the fracture toughness and tensile properties of near beta titanium alloys. Journal of Material Science and Technology. 97. 101–112. 52 indexed citations
19.
Yang, Yi, Bohua Zhang, Zhichao Meng, et al.. (2021). {332}<113> Twinning transfer behavior and its effect on the twin shape in a beta-type Ti-23.1Nb-2.0Zr-1.0O alloy. Journal of Material Science and Technology. 91. 58–66. 15 indexed citations
20.
Gu, Hengfei, et al.. (2021). Effect of The Number of Hydroxyls and Carbons on the Solubility of Sodium Chloride in Alcohol and The Electropolishing Behavior of Ti-6Al-4V Alloy in Alcohol-Salt System. Journal of The Electrochemical Society. 168(9). 93503–93503. 6 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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