Wen Jun Tan

557 total citations
44 papers, 360 citations indexed

About

Wen Jun Tan is a scholar working on Computer Networks and Communications, Management Information Systems and Strategy and Management. According to data from OpenAlex, Wen Jun Tan has authored 44 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 10 papers in Management Information Systems and 8 papers in Strategy and Management. Recurrent topics in Wen Jun Tan's work include Supply Chain Resilience and Risk Management (8 papers), Distributed and Parallel Computing Systems (7 papers) and Digital Transformation in Industry (6 papers). Wen Jun Tan is often cited by papers focused on Supply Chain Resilience and Risk Management (8 papers), Distributed and Parallel Computing Systems (7 papers) and Digital Transformation in Industry (6 papers). Wen Jun Tan collaborates with scholars based in Singapore, China and South Korea. Wen Jun Tan's co-authors include Wentong Cai, Allan N. Zhang, Stephen John Turner, Wai Teng Tang, Rick Siow Mong Goh, Weng‐Fai Wong, M. Hanai, Georgios Theodoropoulos, Toyotaro Suzumura and Daejin Park and has published in prestigious journals such as IEEE Access, Sustainability and IEEE Transactions on Industrial Informatics.

In The Last Decade

Wen Jun Tan

40 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wen Jun Tan Singapore	9	140	106	104	58	54	44	360
Lakshmi Rajamani India	9	28 0.2×	74 0.7×	28 0.3×	14 0.2×	104 1.9×	34	282
Tony Field United Kingdom	10	20 0.1×	138 1.3×	36 0.3×	47 0.8×	61 1.1×	24	309
Wei Shih United States	9	114 0.8×	160 1.5×	189 1.8×	32 0.6×	11 0.2×	15	535
Rajeev Kumar India	13	11 0.1×	76 0.7×	26 0.3×	25 0.4×	132 2.4×	72	448
Rafael M. Gasca Spain	12	10 0.1×	212 2.0×	147 1.4×	71 1.2×	219 4.1×	92	470
Dnyanesh Rajpathak United States	10	23 0.2×	24 0.2×	58 0.6×	8 0.1×	105 1.9×	16	293
Fabrizio Marinelli Italy	12	23 0.2×	160 1.5×	72 0.7×	5 0.1×	75 1.4×	43	628
Natalie M. Steiger United States	16	19 0.1×	45 0.4×	87 0.8×	20 0.3×	10 0.2×	34	542
Peter Kubat United States	14	22 0.2×	149 1.4×	76 0.7×	17 0.3×	119 2.2×	37	569
Daejun Park United States	10	13 0.1×	138 1.3×	50 0.5×	51 0.9×	307 5.7×	20	561

Countries citing papers authored by Wen Jun Tan

Since Specialization

Citations

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

Fields of papers citing papers by Wen Jun Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Jun Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Jun Tan. A scholar is included among the top collaborators of Wen Jun 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 Wen Jun Tan. Wen Jun Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tan, Jiawei, Zhuo Tang, Wentong Cai, et al.. (2025). A Cost-Aware Operator Migration Approach for Distributed Stream Processing System. IEEE Transactions on Cloud Computing. 13(1). 441–454.

Tan, Wen Jun, et al.. (2025). Information sharing and confidentiality: a federated multi-agent reinforcement learning approach for supply chain coordination. International Journal of Production Research. 1–19.

Tan, Wen Jun, et al.. (2025). Privacy Meets Performance: Enhancing Distributed Simulation-based Federated Multi-agent Learning with Privacy-preserving Surrogate Model. ACM Transactions on Modeling and Computer Simulation. 35(4). 1–16.

Tan, Wen Jun, et al.. (2024). Clustering-based multi-objective optimization considering fairness for multi-workflow scheduling on clouds. Journal of Parallel and Distributed Computing. 194. 104968–104968. 2 indexed citations

Tan, Wen Jun, et al.. (2024). Leveraging Multi-Agent Reinforcement Learning for Digital Transformation in Supply Chain Inventory Optimization. Sustainability. 16(22). 9996–9996. 2 indexed citations

Tan, Wen Jun. (2024). Reproducibility Report for the Paper: "Spatial/Temporal Locality-based Load-sharing in Speculative Discrete Event Simulation on Multi-core Machines". ACM Transactions on Modeling and Computer Simulation. 35(1). 1–10.

Li, Feng, et al.. (2023). Genetic-Based Two Granularity Ordering Methods for Multiple Workflow Scheduling. IEEE Access. 12. 1747–1760. 3 indexed citations

Zhang, Bo, Wen Jun Tan, Wentong Cai, & Allan N. Zhang. (2023). Multi-agent Reinforcement Learning for Improving Supply Chain Visibility in Inventory Management. 117–118. 2 indexed citations

Tan, Wen Jun, et al.. (2022). Digital-Twin Consistency Checking Based on Observed Timed Events With Unobservable Transitions in Smart Manufacturing. IEEE Transactions on Industrial Informatics. 19(4). 6208–6219. 16 indexed citations

10.

Tan, Wen Jun, et al.. (2022). Hyperparameter Tunning in Simulation-based Optimization for Adaptive Digital-Twin Abstraction Control of Smart Manufacturing System. 61–68. 2 indexed citations

11.

Zhang, Bo, Wen Jun Tan, Wentong Cai, & Allan N. Zhang. (2022). Forecasting with Visibility Using Privacy Preserving Federated Learning. 2022 Winter Simulation Conference (WSC). 2687–2698. 3 indexed citations

12.

Cai, Wentong, et al.. (2019). Efficient Parallel Simulation over Large-scale Social Contact Networks. ACM Transactions on Modeling and Computer Simulation. 29(2). 1–25. 3 indexed citations

13.

Tan, Wen Jun, Allan N. Zhang, & Wentong Cai. (2019). A graph-based model to measure structural redundancy for supply chain resilience. International Journal of Production Research. 57(20). 6385–6404. 82 indexed citations

14.

Tan, Wen Jun, Wentong Cai, & Allan N. Zhang. (2019). Structural-aware simulation analysis of supply chain resilience. International Journal of Production Research. 58(17). 5175–5195. 70 indexed citations

15.

Tan, Wen Jun, et al.. (2017). Efficient Parallel Simulation over Social Contact Network with Skewed Degree Distribution. 65–75. 3 indexed citations

16.

Tan, Wen Jun, Wentong Cai, & Allan N. Zhang. (2017). Integration design of supply chain hybrid simulation. 2017 Winter Simulation Conference (WSC). 3. 493–504. 2 indexed citations

17.

Tan, Wen Jun, Zhengping Li, & Wentong Cai. (2015). Design of supply chain topology to mitigate demand and supply risks. Winter Simulation Conference. 230–241. 2 indexed citations

18.

Liu, Zhaohua, Xiaohua Li, Wen Jun Tan, & Zhu Zhang. (2015). OpenMP-Based Multi-core Parallel Cooperative PSO with ICS Using Machine Learning for Global Optimization Problem. 56. 2786–2791. 2 indexed citations

19.

Tan, Wen Jun, et al.. (2012). Application research base on system engineering for analyzing smart grid standards. 1–3. 1 indexed citations

20.

Huang, Chuangxia, Yigang He, Lihong Huang, & Wen Jun Tan. (2007). New results on the periodic solutions for a kind of Rayleigh equation with two deviating arguments. Mathematical and Computer Modelling. 46(5-6). 604–611. 10 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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