Sia Chee Kiong
- Artificial Intelligence top 10%
- Mechanical Engineering
- Electrical and Electronic Engineering
- Plant Science
- Computational Theory and Mathematics top 10%
- Co-authors
- Pauline OngNik Hisyamudin Muhd NorMohammad Zulafif RahimSee Khee YeeEe Soong LowMohd Fahrul HassanToshitaka OtaDesmond Daniel Chin Vui Sheng
- Topics
- Advanced Energy Technologies and Civil Engineering Innovations (5 papers)Electromagnetic wave absorption materials (4 papers)Evolutionary Algorithms and Applications (4 papers)
- Cited by
- Nuclear Energy and EngineeringIndustrial and Manufacturing EngineeringArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaConstruction and Building MaterialsJournal of the Science of Food and Agriculture
In The Last Decade
Sia Chee Kiong
40 papers receiving 434 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 119
- Mechanical Engineering 91
- Electrical and Electronic Engineering 86
- Plant Science 64
- Computational Theory and Mathematics 57
Countries citing papers authored by Sia Chee Kiong
This map shows the geographic impact of Sia Chee Kiong'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 Sia Chee Kiong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sia Chee Kiong more than expected).
Fields of papers citing papers by Sia Chee Kiong
This network shows the impact of papers produced by Sia Chee Kiong. 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 Sia Chee Kiong. The network helps show where Sia Chee Kiong may publish in the future.
Co-authorship network of co-authors of Sia Chee Kiong
This figure shows the co-authorship network connecting the top 25 collaborators of Sia Chee Kiong. A scholar is included among the top collaborators of Sia Chee Kiong 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 Sia Chee Kiong. Sia Chee Kiong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 93 | |
| 5 | 2 | |
| 6 | 19 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 41 | |
| 11 | 6 | |
| 12 | 27 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 1 |
About Sia Chee Kiong
Sia Chee Kiong is a scholar working on Nuclear Energy and Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering, having authored 40 papers that have together received 446 indexed citations. Recurring topics across this work include Advanced Energy Technologies and Civil Engineering Innovations (5 papers), Electromagnetic wave absorption materials (4 papers) and Evolutionary Algorithms and Applications (4 papers). The work is most often cited by research in Nuclear Energy and Engineering (8 citations), Industrial and Manufacturing Engineering (42 citations) and Artificial Intelligence (119 citations). Sia Chee Kiong has collaborated with scholars based in Malaysia, Japan and Belgium. Frequent co-authors include Pauline Ong, Nik Hisyamudin Muhd Nor, Mohammad Zulafif Rahim, See Khee Yee, Ee Soong Low, Mohd Fahrul Hassan, Toshitaka Ota, Desmond Daniel Chin Vui Sheng, Yuji C. Sasaki and Seiji Yokoyama. Their work appears in journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Journal of the Science of Food and Agriculture.
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.