Swee Leong Sing
- Mechanical Engineering top 0.05%
- Automotive Engineering top 0.02%
- Biomedical Engineering top 1%
- Materials Chemistry top 5%
- Industrial and Manufacturing Engineering top 0.2%
- Co-authors
- Wai Yee YeongChee Kai ChuaFlorencia Edith WiriaGuo Dong GohZhili DongZ. H. LiuChor Yen YapGuo Liang Goh
- Topics
- Additive Manufacturing and 3D Printing Technologies (66 papers)Additive Manufacturing Materials and Processes (64 papers)Manufacturing Process and Optimization (27 papers)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Swee Leong Sing
123 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Mechanical Engineering 7.1k
- Automotive Engineering 6.1k
- Biomedical Engineering 2.2k
- Materials Chemistry 1.5k
- Industrial and Manufacturing Engineering 1.4k
Countries citing papers authored by Swee Leong Sing
This map shows the geographic impact of Swee Leong Sing'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 Swee Leong Sing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swee Leong Sing more than expected).
Fields of papers citing papers by Swee Leong Sing
This network shows the impact of papers produced by Swee Leong Sing. 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 Swee Leong Sing. The network helps show where Swee Leong Sing may publish in the future.
Co-authorship network of co-authors of Swee Leong Sing
This figure shows the co-authorship network connecting the top 25 collaborators of Swee Leong Sing. A scholar is included among the top collaborators of Swee Leong Sing 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 Swee Leong Sing. Swee Leong Sing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 6 | |
| 10 | 16 | |
| 11 | 10 | |
| 12 | 8 | |
| 13 | 6 | |
| 14 | 0 | |
| 15 | 20 | |
| 16 | 27 | |
| 17 | A real world pilot implementation of the Core Manufacturing Simulation Data model | 3 |
| 18 | 29 | |
| 19 | 19 | |
| 20 | 29 |
About Swee Leong Sing
Swee Leong Sing is a scholar working on Automotive Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering, having authored 130 papers that have together received 10.3k indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (66 papers), Additive Manufacturing Materials and Processes (64 papers) and Manufacturing Process and Optimization (27 papers). The work is most often cited by research in Automotive Engineering (6.1k citations), Mechanical Engineering (7.1k citations) and Industrial and Manufacturing Engineering (1.4k citations). Swee Leong Sing has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Wai Yee Yeong, Chee Kai Chua, Florencia Edith Wiria, Guo Dong Goh, Zhili Dong, Z. H. Liu, Chor Yen Yap, Guo Liang Goh, Jia An and Heang Kuan Joel Tan. Their work appears in journals such as Acta Materialia, Journal of Cleaner Production and Scientific Reports.
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.