Puay Siew Tan

2.2k total citations · 1 hit paper
55 papers, 1.4k citations indexed

About

Puay Siew Tan is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Strategy and Management. According to data from OpenAlex, Puay Siew Tan has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 15 papers in Industrial and Manufacturing Engineering and 14 papers in Strategy and Management. Recurrent topics in Puay Siew Tan's work include Service-Oriented Architecture and Web Services (11 papers), Vehicle Routing Optimization Methods (9 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Puay Siew Tan is often cited by papers focused on Service-Oriented Architecture and Web Services (11 papers), Vehicle Routing Optimization Methods (9 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Puay Siew Tan collaborates with scholars based in Singapore, China and United Kingdom. Puay Siew Tan's co-authors include Yew-Soon Ong, Abhishek Gupta, Kavitesh Kumar Bali, Allan N. Zhang, Gitae Kim, Siwei Jiang, Jie Zhang, Taesu Cheong, Jonathan Sze Choong Low and Yen Ting Ng and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Puay Siew Tan

51 papers receiving 1.4k citations

Hit Papers

Multifactorial Evolutiona... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II
    2019 303 citations Kavitesh Kumar Bali, Yew-Soon Ong et al. IEEE Transactions on Evolutionary Computation profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Puay Siew Tan Singapore 16 674 521 383 160 145 55 1.4k
Ali Husseinzadeh Kashan Iran 25 865 1.3× 399 0.8× 962 2.5× 150 0.9× 161 1.1× 91 2.4k
Trung Thành Nguyễn United Kingdom 26 1.2k 1.8× 889 1.7× 349 0.9× 78 0.5× 115 0.8× 96 2.3k
Qinghua Wu China 21 370 0.5× 315 0.6× 588 1.5× 207 1.3× 90 0.6× 88 1.4k
Xavier Gandibleux France 20 426 0.6× 855 1.6× 918 2.4× 70 0.4× 117 0.8× 42 2.2k
Lamjed Ben Saïd Tunisia 23 1.0k 1.5× 882 1.7× 442 1.2× 58 0.4× 155 1.1× 176 2.3k
Athanasios Migdalas Sweden 22 273 0.4× 382 0.7× 537 1.4× 106 0.7× 178 1.2× 76 1.5k
Alfredo G. Hernández‐Díaz Spain 19 905 1.3× 775 1.5× 183 0.5× 42 0.3× 80 0.6× 41 1.7k
Hsiao‐Fan Wang Taiwan 20 274 0.4× 154 0.3× 360 0.9× 417 2.6× 121 0.8× 76 1.5k
Voratas Kachitvichyanukul Thailand 21 452 0.7× 119 0.2× 924 2.4× 70 0.4× 212 1.5× 69 1.7k
Miguel Á. Salido Spain 24 346 0.5× 212 0.4× 1.8k 4.6× 146 0.9× 157 1.1× 85 2.4k

Countries citing papers authored by Puay Siew Tan

Since Specialization
Citations

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

Fields of papers citing papers by Puay Siew Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Puay Siew Tan. 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 Puay Siew Tan. The network helps show where Puay Siew Tan may publish in the future.

Co-authorship network of co-authors of Puay Siew Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Puay Siew Tan. A scholar is included among the top collaborators of Puay Siew Tan 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 Puay Siew Tan. Puay Siew Tan 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.
Liu, Jiao, Abhishek Gupta, Yew-Soon Ong, & Puay Siew Tan. (2024). Inverse Multiobjective Optimization by Generative Model Prompting. 737–740.
2.
Tan, Chin S., Abhishek Gupta, Yew-Soon Ong, et al.. (2023). Pareto optimization with small data by learning across common objective spaces. Scientific Reports. 13(1). 7842–7842. 9 indexed citations
3.
Zhang, Cong, Zhiguang Cao, Wen Song, et al.. (2022). Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems. 24(1). 1325–1336. 30 indexed citations
4.
Zhang, Cong, et al.. (2020). Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 33. 1621–1632. 1 indexed citations
5.
Bali, Kavitesh Kumar, Abhishek Gupta, Yew-Soon Ong, & Puay Siew Tan. (2020). Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II. IEEE Transactions on Cybernetics. 51(4). 1784–1796. 136 indexed citations
6.
Yeo, Zhiquan, Donato Masi, Jonathan Sze Choong Low, et al.. (2019). Tools for promoting industrial symbiosis: A systematic review. Journal of Industrial Ecology. 23(5). 1087–1108. 99 indexed citations
7.
Bali, Kavitesh Kumar, Yew-Soon Ong, Abhishek Gupta, & Puay Siew Tan. (2019). Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II. IEEE Transactions on Evolutionary Computation. 24(1). 69–83. 303 indexed citations breakdown →
8.
Jiang, Siwei, et al.. (2016). Adaptive indicator-based evolutionary algorithm for multiobjective optimization problems. 492–499. 4 indexed citations
9.
Jiang, Siwei, Chi Xu, Abhishek Gupta, et al.. (2016). Complex and Intelligent Systems in Manufacturing. IEEE Potentials. 35(4). 23–28. 7 indexed citations
10.
Tan, Puay Siew, S. G. Lee, & C. S. Tan. (2016). Modeling disruption propagation in a complex Supply Chain. 154–158. 1 indexed citations
11.
Kim, Gitae, et al.. (2015). City Vehicle Routing Problem (City VRP): A Review. IEEE Transactions on Intelligent Transportation Systems. 16(4). 1654–1666. 147 indexed citations
12.
Zhang, Allan N., et al.. (2014). Disruption recovery modeling in supply chain risk management. 47. 279–283. 4 indexed citations
13.
Jiang, Siwei, Jie Zhang, Yew-Soon Ong, Allan N. Zhang, & Puay Siew Tan. (2014). A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm. IEEE Transactions on Cybernetics. 45(10). 2202–2213. 185 indexed citations
14.
Tan, C. S., et al.. (2013). An Inoperability Input-Output Model (IIM) for disruption propagation analysis. 186–190. 4 indexed citations
15.
16.
Goh, Mark, Robert de Souza, Allan N. Zhang, Wei He, & Puay Siew Tan. (2009). Supply Chain Visibility: A decision making perspective. National University of Singapore. 2546–2551. 27 indexed citations
17.
He, Wei, et al.. (2008). A secure RFID-based track and trace solution in supply chains. 1364–1369. 15 indexed citations
18.
Tan, Puay Siew, et al.. (2008). A Web Services-enabled B2B integration approach for SMEs. 774–779. 9 indexed citations
19.
Tan, Puay Siew, et al.. (2006). Web Composition Inter-Service Dependency Checker. 19. 329–334. 1 indexed citations
20.
Tan, Sheldon X.-D., et al.. (1997). An efficient multi-way algorithm for balanced partitioning of VLSI circuits. 608–613. 4 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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