Jun Wei Chua

860 citations
16 papers · 652 · 1 hit paper · h-index 12

Impact in

Papers in

Jun Wei Chua

16 papers receiving 644 citations

Jun Wei Chua's Hit Papers

3D‐Printed Lattice Structures for Sound Absorption: Current Progress, Mechanisms and Models, Structural‐Property Relationships, and Future Outlook 2023 · 92 citations
920+1+2Years since publication255075

Peers

Jun Wei Chua
Comparison fields: 5 of 47
  • Speech and Hearing 97
  • Mechanical Engineering 395
  • Automotive Engineering 119
  • Biomedical Engineering 399
  • Architecture 8
Replace Bhisham Sharma with:
Bhisham Sharma United States
Edith Roland Fotsing Canada
Tianning Chen China
Shuaishuai Wei China
Luzhen Nie United Kingdom
Huabin Yu China
Sihao Han China
Meisam Askari United Kingdom
Wenjiang Wang China
Zhishuai Wan China
Jun Wei Chua relative to Bhisham Sharma United States Bhisham Sharma's profile →
Citations per field
00.5×
Bhisham Sharma · 1×
Citations per year

Countries citing papers authored by Jun Wei Chua

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wei Chua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Jun Wei Chua, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Wei Chua Line = papers co-authored together Jun Wei Chua links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2021162
2
3D‐Printed Lattice Structures for Sound Absorption: Current Progress, Mechanisms and Models, Structural‐Property Relationships, and Future Outlook
Hit paper breakdown →
202392
3 202365
4 202255
5 202245
6 202144
7 202339
8 202335
9 202330
10 202329
11 202425
12 202211
13 202410
14 20254
15 20254
16 20252

About Jun Wei Chua

Jun Wei Chua is a scholar working on Biomedical Engineering, Mechanical Engineering, Speech and Hearing, Automotive Engineering and Aerospace Engineering, having authored 16 papers that have together received 652 indexed citations. Recurring topics across this work include Acoustic Wave Phenomena Research (15 papers), Cellular and Composite Structures (14 papers), Noise Effects and Management (4 papers), Vehicle Noise and Vibration Control (3 papers), Aerodynamics and Acoustics in Jet Flows (2 papers), Advanced Materials and Mechanics (1 paper), Polymer composites and self-healing (1 paper) and Wind and Air Flow Studies (1 paper). The work is most often cited by research in Speech and Hearing (97 citations), Mechanical Engineering (395 citations), Automotive Engineering (119 citations), Biomedical Engineering (399 citations) and Architecture (8 citations). Jun Wei Chua has collaborated with scholars based in Singapore, Hong Kong and China. Frequent co-authors include Wei Zhai, Xinwei Li, Xiang Yu, Zhendong Li, Heow Pueh Lee, Jun Ding, Miao Zhao, Zhonggang Wang, Yijing Zhao and Yani Zhang. Their work appears in journals such as Virtual and Physical Prototyping, Composite Structures, Materials & Design, Materials Horizons and International Journal of Minerals Metallurgy and Materials.

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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