Pay Jun Liew

806 total citations
35 papers, 629 citations indexed

About

Pay Jun Liew is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Pay Jun Liew has authored 35 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Mechanical Engineering, 23 papers in Electrical and Electronic Engineering and 17 papers in Biomedical Engineering. Recurrent topics in Pay Jun Liew's work include Advanced Machining and Optimization Techniques (23 papers), Advanced machining processes and optimization (21 papers) and Advanced Surface Polishing Techniques (17 papers). Pay Jun Liew is often cited by papers focused on Advanced Machining and Optimization Techniques (23 papers), Advanced machining processes and optimization (21 papers) and Advanced Surface Polishing Techniques (17 papers). Pay Jun Liew collaborates with scholars based in Malaysia, Japan and China. Pay Jun Liew's co-authors include Jiwang Yan, Tsunemoto Kuriyagawa, Jingsi Wang, Nor Azwadi Che Sidik, Tianfeng Zhou, Jiaqi Zhu, Keita Shimada, Jinlong Wang, Fengming Du and Jingguo Fu and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Applied Surface Science and Journal of Materials Processing Technology.

In The Last Decade

Pay Jun Liew

32 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pay Jun Liew Malaysia 11 535 413 342 77 75 35 629
Yao Sun China 16 699 1.3× 328 0.8× 478 1.4× 94 1.2× 75 1.0× 39 783
Zhirong Liao China 7 565 1.1× 255 0.6× 314 0.9× 125 1.6× 77 1.0× 15 637
Rabin Kumar Das India 13 637 1.2× 416 1.0× 300 0.9× 111 1.4× 96 1.3× 27 663
Xuelong Wen China 14 660 1.2× 314 0.8× 423 1.2× 120 1.6× 89 1.2× 37 761
Xiaodong Yang China 19 819 1.5× 735 1.8× 745 2.2× 70 0.9× 64 0.9× 64 968
Chandrakant K. Nirala India 18 837 1.6× 579 1.4× 436 1.3× 65 0.8× 61 0.8× 62 877
Leeladhar Nagdeve India 13 336 0.6× 189 0.5× 321 0.9× 71 0.9× 30 0.4× 35 430
T. Geethapriyan India 11 387 0.7× 331 0.8× 220 0.6× 75 1.0× 27 0.4× 44 489
Gonzalo García Luna United Kingdom 6 389 0.7× 141 0.3× 304 0.9× 69 0.9× 55 0.7× 8 487

Countries citing papers authored by Pay Jun Liew

Since Specialization
Citations

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

Fields of papers citing papers by Pay Jun Liew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pay Jun Liew

This figure shows the co-authorship network connecting the top 25 collaborators of Pay Jun Liew. A scholar is included among the top collaborators of Pay Jun Liew 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 Pay Jun Liew. Pay Jun Liew 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.
Wang, Jingsi, et al.. (2025). A study on the tribological behavior of the piston ring-cylinder liner under ammonia conditions. Wear. 584-585. 206427–206427.
2.
Wang, Jingsi, et al.. (2024). Lubrication performance of 5CB liquid crystal combined with different wear-resistant coatings on friction surface. Tribology International. 204. 110469–110469. 1 indexed citations
3.
Manap, Abreeza, et al.. (2024). Effect of polyethylene glycol in graphene quantum dots for dye-sensitized solar cell. Polymer Bulletin. 81(12). 10885–10896. 3 indexed citations
4.
Liew, Pay Jun, et al.. (2023). Electrical Discharge Coating of Mild Steel with Fly Ash Suspension. Journal of Advanced Research in Applied Mechanics. 112(1). 1–9. 1 indexed citations
5.
Liew, Pay Jun, et al.. (2022). Recent progress on the application of nanofluids and hybrid nanofluids in machining: a comprehensive review. The International Journal of Advanced Manufacturing Technology. 121(3-4). 1455–1481. 44 indexed citations
6.
Liew, Pay Jun, et al.. (2020). Optimization of the Material Removal Rate and Electrode Wear Ratio in Electrical Discharge Machining of Reaction-bonded Silicon Carbide by Response Surface Methodology. International Journal of Engineering and Advanced Technology. 9(4). 2116–2120.
7.
Wang, Jingsi, Jingguo Fu, Jinlong Wang, et al.. (2020). Processing capabilities of micro ultrasonic machining for hard and brittle materials: SPH analysis and experimental verification. Precision Engineering. 63. 159–169. 22 indexed citations
8.
Wang, Jingsi, Jiaqi Zhu, & Pay Jun Liew. (2019). Material Removal in Ultrasonic Abrasive Polishing of Additive Manufactured Components. Applied Sciences. 9(24). 5359–5359. 33 indexed citations
9.
Izamshah, R., John P.T. Mo, Mohd Shahir Kasim, et al.. (2018). Simultaneous twin cutter technique for machining thin wall low rigidity part. RMIT Research Repository (RMIT University Library). 1 indexed citations
10.
Liew, Pay Jun, et al.. (2018). Investigation of Effects of Carbon Nanofiber Nanofluid in Drilling of AISI 304 Stainless Steel. 12. 491–500. 1 indexed citations
11.
Liew, Pay Jun, et al.. (2018). MATERIAL DEPOSITION ON ALUMINIUM BY ELECTRICAL DISCHARGE COATING (EDC) WITH A TUNGSTEN POWDER SUSPENSION. 12(2). 133–146. 9 indexed citations
12.
Liew, Pay Jun, et al.. (2017). Effect of Chilled Air Coolant on Surface Roughness and Tool Wear When Machining 2205 Duplex Stainless Steel. 11(1). 61–68. 3 indexed citations
13.
Liew, Pay Jun, et al.. (2017). Effect of surfactants and additives on electrical discharge machining of Reaction Bonded Silicon Carbide. ARPN Journal of Engineering and Applied Sciences. 12(14). 4334–4339. 4 indexed citations
14.
Liew, Pay Jun, et al.. (2016). Effect of Surfactant on EDM of Low Conductivity Reaction-Bonded Silicon Carbide. Key engineering materials. 701. 107–111. 4 indexed citations
15.
Izamshah, R., et al.. (2015). Optimization of Milling Parameter for Untreated and Heat Treated Polyetheretherketones (PEEK) Biomaterials. Applied Mechanics and Materials. 761. 293–297. 2 indexed citations
16.
Liew, Pay Jun, Keita Shimada, Masayoshi Mizutani, Jiwang Yan, & Tsunemoto Kuriyagawa. (2013). Fabrication of Microstructures on RB-SiC by Ultrasonic Cavitation Assisted Micro-Electrical Discharge Machining. International Journal of Automation Technology. 7(6). 621–629. 12 indexed citations
17.
Liew, Pay Jun, Jiwang Yan, & Tsunemoto Kuriyagawa. (2013). Fabrication of deep micro-holes in reaction-bonded SiC by ultrasonic cavitation assisted micro-EDM. International Journal of Machine Tools and Manufacture. 76. 13–20. 113 indexed citations
18.
Liew, Pay Jun, Jiwang Yan, & Tsunemoto Kuriyagawa. (2013). Carbon nanofiber assisted micro electro discharge machining of reaction-bonded silicon carbide. Journal of Materials Processing Technology. 213(7). 1076–1087. 60 indexed citations
19.
Liew, Pay Jun, et al.. (2012). Effect of Different Dielectric Fluids on Micro EDM of Low Conductivity Ceramic Material RB-SiC. Advanced materials research. 565. 529–534. 1 indexed citations
20.
Shimada, Keita, Pay Jun Liew, Tianfeng Zhou, Jiwang Yan, & Tsunemoto Kuriyagawa. (2012). Statistical Approach Optimizing Slant Feed Grinding. Journal of Advanced Mechanical Design Systems and Manufacturing. 6(6). 898–907. 7 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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2026