Joc Cing Tay

1.2k total citations
20 papers, 736 citations indexed

About

Joc Cing Tay is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Genetics. According to data from OpenAlex, Joc Cing Tay has authored 20 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Industrial and Manufacturing Engineering and 6 papers in Genetics. Recurrent topics in Joc Cing Tay's work include Scheduling and Optimization Algorithms (7 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Evolutionary Algorithms and Applications (5 papers). Joc Cing Tay is often cited by papers focused on Scheduling and Optimization Algorithms (7 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Evolutionary Algorithms and Applications (5 papers). Joc Cing Tay collaborates with scholars based in Singapore and Netherlands. Joc Cing Tay's co-authors include Nhu Binh Ho, P.M.A. Sloot, Chai Quek, Emiliano Mancini, Philip Tan, Martijn C. Schut and David van Dijk and has published in prestigious journals such as European Journal of Operational Research, Journal of Theoretical Biology and Computers & Industrial Engineering.

In The Last Decade

Joc Cing Tay

19 papers receiving 694 citations

Peers

Joc Cing Tay
Comparison fields: 5 of 62
  • Industrial and Manufacturing Engineering 614
  • Artificial Intelligence 242
  • Control and Systems Engineering 126
  • Computer Networks and Communications 88
  • Computational Theory and Mathematics 58
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Danilo Sipoli Sanches Brazil
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Xiaoli Wang China
Franciszek Seredyński Poland
Jiansheng Guo China
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Dave Corne United Kingdom View profile →
Citations per field, relative to Joc Cing Tay
Joc Cing Tay · 1×
Citations per year, relative to Joc Cing Tay
Joc Cing Tay · 1×

Countries citing papers authored by Joc Cing Tay

Since Specialization
Citations

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

Fields of papers citing papers by Joc Cing Tay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joc Cing Tay. 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 Joc Cing Tay. The network helps show where Joc Cing Tay may publish in the future.

Co-authorship network of co-authors of Joc Cing Tay

This figure shows the co-authorship network connecting the top 25 collaborators of Joc Cing Tay. A scholar is included among the top collaborators of Joc Cing Tay 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 Joc Cing Tay. Joc Cing Tay 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
# Work Indexed citations
1 2
2 8
3 2
4 24
5 63
6 7
7 10
8 314
9 2
10 0
11 1
12 7
13 168
14 5
15 4
16 17
17 96
18 1
19 4
20
CSL (Part I): Modelling General N-ary, Logical CSPs
1

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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