Jing Jun Lee

456 total citations
18 papers, 342 citations indexed

About

Jing Jun Lee is a scholar working on Mechanical Engineering, Aerospace Engineering and Automotive Engineering. According to data from OpenAlex, Jing Jun Lee has authored 18 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 8 papers in Aerospace Engineering and 3 papers in Automotive Engineering. Recurrent topics in Jing Jun Lee's work include Additive Manufacturing Materials and Processes (14 papers), High Entropy Alloys Studies (14 papers) and High-Temperature Coating Behaviors (8 papers). Jing Jun Lee is often cited by papers focused on Additive Manufacturing Materials and Processes (14 papers), High Entropy Alloys Studies (14 papers) and High-Temperature Coating Behaviors (8 papers). Jing Jun Lee collaborates with scholars based in Singapore, China and Sweden. Jing Jun Lee's co-authors include Fengxia Wei, Pei Wang, Kwang Boon Lau, Cheng Tan, Upadrasta Ramamurty, Baisong Cheng, Chee Koon Ng, Siyuan Wei, Kewu Bai and Yong‐Wei Zhang and has published in prestigious journals such as Acta Materialia, Materials Science and Engineering A and Journal of Alloys and Compounds.

In The Last Decade

Jing Jun Lee

16 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Jun Lee Singapore 12 326 125 77 47 25 18 342
Shengchong Ma China 13 327 1.0× 75 0.6× 83 1.1× 58 1.2× 32 1.3× 17 341
Fabian Kies Germany 9 317 1.0× 66 0.5× 114 1.5× 68 1.4× 28 1.1× 12 328
Morteza Narvan Iran 9 387 1.2× 65 0.5× 115 1.5× 73 1.6× 44 1.8× 10 399
Hongxing Lu China 9 429 1.3× 130 1.0× 172 2.2× 82 1.7× 57 2.3× 15 465
Kwang Boon Lau Singapore 14 463 1.4× 132 1.1× 124 1.6× 75 1.6× 27 1.1× 25 484
Jilin Xie China 6 269 0.8× 60 0.5× 79 1.0× 58 1.2× 32 1.3× 10 295
Xin-Hui Gu China 7 363 1.1× 139 1.1× 165 2.1× 64 1.4× 17 0.7× 10 392
Nannan Lu China 7 396 1.2× 117 0.9× 146 1.9× 67 1.4× 14 0.6× 11 411
Xinyuan Jin China 8 355 1.1× 55 0.4× 84 1.1× 113 2.4× 41 1.6× 15 364
Hongfang Tian China 7 365 1.1× 97 0.8× 108 1.4× 82 1.7× 73 2.9× 9 392

Countries citing papers authored by Jing Jun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jing Jun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing Jun Lee. 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 Jing Jun Lee. The network helps show where Jing Jun Lee may publish in the future.

Co-authorship network of co-authors of Jing Jun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Jun Lee. A scholar is included among the top collaborators of Jing Jun Lee 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 Jing Jun Lee. Jing Jun Lee 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.
Wei, Siyuan, Delvin Wuu, Kwang Boon Lau, et al.. (2025). High throughput additive manufacturing and characterization of immiscible Cu-Fe binary system using compositional gradient approach. Journal of Alloys and Compounds. 1014. 178770–178770.
2.
Tan, Li Ping, Shilin Chen, Fengxia Wei, et al.. (2024). Breaking conventional limits of silicon content in Fe-xSi magnetic alloys through additive manufacturing. Journal of Alloys and Compounds. 983. 173829–173829. 7 indexed citations
3.
Suo, Hongli, Delvin Wuu, Jing Jun Lee, et al.. (2024). Composition driven machine learning for unearthing high-strength lightweight multi-principal element alloys. Journal of Alloys and Compounds. 1008. 176517–176517. 4 indexed citations
4.
Zeng, Yingzhi, Chee Koon Ng, Zachary H. Aitken, et al.. (2024). Search for eutectic high entropy alloys by integrating high-throughput CALPHAD, machine learning and experiments. Materials & Design. 241. 112929–112929. 19 indexed citations
5.
Wei, Siyuan, Yakai Zhao, Shi‐Hao Li, et al.. (2023). Laser powder bed fusion of a Cu-Ni-Al alloy using the compositional grading approach. Scripta Materialia. 231. 115441–115441. 16 indexed citations
6.
Fang, Yanan, Jing Jun Lee, Baisong Cheng, et al.. (2023). Post treatment for precise size and shape control of monodisperse CsPbBr3 nanocrystals under ambient condition using ZnBr2. APL Materials. 11(4).
7.
Bai, Kewu, Chee Koon Ng, Ming Lin, et al.. (2023). Unexpected spinodal decomposition in as-cast eutectic high entropy alloy Al30Co10Cr30Fe15Ni15. Materials & Design. 236. 112508–112508. 14 indexed citations
8.
Cheng, Baisong, Fengxia Wei, Jing Jun Lee, et al.. (2023). High strength Hadfield steel produced using laser powder bed fusion of mixed powders. Materials & Design. 231. 112017–112017. 9 indexed citations
9.
Cheng, Baisong, Fengxia Wei, Jing Jun Lee, et al.. (2022). Ambient pressure fabrication of Ni-free high nitrogen austenitic stainless steel using laser powder bed fusion method. Additive manufacturing. 55. 102810–102810. 29 indexed citations
10.
Zeng, Yingzhi, Chee Koon Ng, Delvin Wuu, et al.. (2022). Machine learning-based inverse design for single-phase high entropy alloys. APL Materials. 10(10). 15 indexed citations
11.
Wei, Fengxia, et al.. (2022). Grain distribution characteristics and effect of diverse size distribution on the Hall–Petch relationship for additively manufactured metal alloys. Journal of Materials Research and Technology. 20. 4130–4136. 45 indexed citations
12.
Bai, Kewu, Chee Koon Ng, Fengxia Wei, et al.. (2022). Short-range ordering heredity in eutectic high entropy alloys: A new model based on pseudo-ternary eutectics. Acta Materialia. 243. 118512–118512. 21 indexed citations
13.
Ng, Chee Koon, Kewu Bai, Delvin Wuu, et al.. (2022). Additive manufacturing of high-strength and ductile high entropy alloy CoCrFeNiW0.2 composites via laser powder bed fusion and post-annealing. Journal of Alloys and Compounds. 906. 164288–164288. 23 indexed citations
14.
Wei, Siyuan, Kwang Boon Lau, Jing Jun Lee, et al.. (2021). Selective laser melting of Fe–Al alloys with simultaneous gradients in composition and microstructure. Materials Science and Engineering A. 821. 141608–141608. 30 indexed citations
15.
Zhao, Yakai, Kwang Boon Lau, Jing Jun Lee, et al.. (2021). Compositionally graded CoCrFeNiTi high-entropy alloys manufactured by laser powder bed fusion: A combinatorial assessment. Journal of Alloys and Compounds. 883. 160825–160825. 48 indexed citations
16.
Wei, Fengxia, Baisong Cheng, Punit Kumar, et al.. (2021). A comparative study of additive manufactured and wrought SS316L: Pre-existing dislocations and grain boundary characteristics. Materials Science and Engineering A. 833. 142546–142546. 34 indexed citations
17.
Wei, Fengxia, Siyuan Wei, Kwang Boon Lau, et al.. (2021). Compositionally graded AlxCoCrFeNi high-entropy alloy manufactured by laser powder bed fusion. Materialia. 21. 101308–101308. 27 indexed citations
18.
Wei, Yuefan, et al.. (2020). Surface Integrity Variations of Stainless Steel 304 upon Severe Shot Peening. Materials science forum. 1015. 30–35. 1 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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