Tay Jin Chua
- Industrial and Manufacturing Engineering top 0.2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Ponnuthurai Nagaratnam SuganthanQuan-Ke PanM. Fatih TasgetirenKaizhou GaoT. X. CaiChin Soon ChongChee‐Seng ChongJunqing Li
- Topics
- Scheduling and Optimization Algorithms (24 papers)Advanced Manufacturing and Logistics Optimization (18 papers)Manufacturing Process and Optimization (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringArtificial IntelligenceComputational Theory and Mathematics
In The Last Decade
Tay Jin Chua
23 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Industrial and Manufacturing Engineering 1.0k
- Artificial Intelligence 457
- Computer Networks and Communications 179
- Control and Systems Engineering 158
- Computational Theory and Mathematics 143
Countries citing papers authored by Tay Jin Chua
This map shows the geographic impact of Tay Jin 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 Tay Jin Chua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tay Jin Chua more than expected).
Fields of papers citing papers by Tay Jin Chua
This network shows the impact of papers produced by Tay Jin 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 Tay Jin Chua. The network helps show where Tay Jin Chua may publish in the future.
Co-authorship network of co-authors of Tay Jin Chua
This figure shows the co-authorship network connecting the top 25 collaborators of Tay Jin Chua. A scholar is included among the top collaborators of Tay Jin Chua 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 Tay Jin Chua. Tay Jin Chua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | 3 | |
| 5 | 142 | |
| 6 | 141 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 134 | |
| 11 | 51 | |
| 12 | 16 | |
| 13 | 14 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 4 | |
| 20 | 13 |
About Tay Jin Chua
Tay Jin Chua is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Computer Networks and Communications, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (24 papers), Advanced Manufacturing and Logistics Optimization (18 papers) and Manufacturing Process and Optimization (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.0k citations), Artificial Intelligence (457 citations) and Computational Theory and Mathematics (143 citations). Tay Jin Chua has collaborated with scholars based in Singapore, China and Türkiye. Frequent co-authors include Ponnuthurai Nagaratnam Suganthan, Quan-Ke Pan, M. Fatih Tasgetiren, Kaizhou Gao, T. X. Cai, Chin Soon Chong, Chee‐Seng Chong, Junqing Li, Sang‐Oh Shim and William Liu. Their work appears in journals such as Expert Systems with Applications, Information Sciences and International Journal of Production Research.
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.