Choo Jun Tan

469 total citations
24 papers, 369 citations indexed

About

Choo Jun Tan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Choo Jun Tan has authored 24 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Choo Jun Tan's work include Metaheuristic Optimization Algorithms Research (8 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Electric Motor Design and Analysis (5 papers). Choo Jun Tan is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Electric Motor Design and Analysis (5 papers). Choo Jun Tan collaborates with scholars based in Malaysia, Australia and China. Choo Jun Tan's co-authors include Chee Peng Lim, Farhad Pourpanah, Yu–N Cheah, Yuhui Shi, Qi Hao, Manjeevan Seera, Xizhao Wang, Junita Mohamad–Saleh, Wai Peng Wong and Tiem Leong Yoon and has published in prestigious journals such as Energy, Fuzzy Sets and Systems and Neurocomputing.

In The Last Decade

Choo Jun Tan

21 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Choo Jun Tan Malaysia 10 234 78 70 32 31 24 369
Omar Saber Qasim Iraq 10 260 1.1× 58 0.7× 91 1.3× 18 0.6× 21 0.7× 42 417
Souad Amjad Morocco 10 272 1.2× 72 0.9× 35 0.5× 39 1.2× 36 1.2× 23 395
Mahmoud Abdel-Salam Egypt 13 256 1.1× 95 1.2× 99 1.4× 35 1.1× 47 1.5× 39 456
Junbo Jacob Lian China 6 217 0.9× 97 1.2× 65 0.9× 60 1.9× 44 1.4× 15 421
Marwa Sharawi Egypt 11 209 0.9× 65 0.8× 56 0.8× 108 3.4× 38 1.2× 19 417
Ziqian Wang Japan 9 266 1.1× 112 1.4× 65 0.9× 39 1.2× 36 1.2× 23 393
Kezong Tang China 10 137 0.6× 64 0.8× 111 1.6× 19 0.6× 25 0.8× 33 378
Jiayi Shi China 9 163 0.7× 75 1.0× 182 2.6× 57 1.8× 62 2.0× 23 459
Mohammed Qaraad Morocco 11 266 1.1× 73 0.9× 40 0.6× 38 1.2× 38 1.2× 15 380
Pradip Dhal India 7 194 0.8× 32 0.4× 75 1.1× 39 1.2× 29 0.9× 13 386

Countries citing papers authored by Choo Jun Tan

Since Specialization
Citations

This map shows the geographic impact of Choo 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 Choo 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 Choo Jun Tan more than expected).

Fields of papers citing papers by Choo Jun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Choo Jun Tan. A scholar is included among the top collaborators of Choo 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 Choo Jun Tan. Choo Jun 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.
Tan, Choo Jun, et al.. (2025). Stepwise monogamous pairing genetic algorithm method applied to a multi-depot vehicle routing problem with time windows. Neural Computing and Applications. 37(16). 9639–9668.
2.
Tan, Choo Jun, et al.. (2025). Beta distribution-based monogamous pairs genetic algorithm for knowledge transfer in many-task optimization. Knowledge-Based Systems. 316. 113361–113361.
3.
Tan, Choo Jun, et al.. (2024). Designing monotone Takagi-Sugeno-Kang fuzzy inference systems with new joint sufficient conditions. Fuzzy Sets and Systems. 502. 109217–109217. 2 indexed citations
4.
Tan, Choo Jun, et al.. (2023). SUPPORTING DECISION MAKING WITH AN ARIZ-BASED MODEL FOR SMART MANUFACTURING. Malaysian Journal of Computer Science. 36(1). 53–78. 1 indexed citations
5.
Tan, Choo Jun, et al.. (2022). An intelligent tool for early drop-out prediction of distance learning students. Soft Computing. 26(12). 5901–5917. 4 indexed citations
6.
Tan, Choo Jun, et al.. (2022). Optimization Design of the Electromagnetic Torque for Surface-Mounted PMSM Using GA and Finite Element Analysis for Electric Vehicle. Journal of Electrical Engineering and Technology. 17(5). 2727–2735. 4 indexed citations
7.
8.
Seera, Manjeevan, Choo Jun Tan, Kok‐Keong Chong, & Chee Peng Lim. (2021). Performance analyses of various commercial photovoltaic modules based on local spectral irradiances in Malaysia using genetic algorithm. Energy. 223. 120009–120009. 13 indexed citations
9.
Tan, Choo Jun, et al.. (2021). An information entropy-based evolutionary computation for multi-factorial optimization. Applied Soft Computing. 114. 108071–108071. 17 indexed citations
10.
Tan, Choo Jun, et al.. (2021). Design and Optimization of Electromagnetic Torque for a Surface-Mounted PMSM by using Subdomain Model and GA in Electric Vehicle Application. 2021 24th International Conference on Electrical Machines and Systems (ICEMS). 1–6. 2 indexed citations
11.
12.
Ishak, Dahaman, et al.. (2020). Investigation the optimum performance of the surface-mounted PMSM under different magnetization patterns. Journal of Physics Conference Series. 1432(1). 12005–12005. 3 indexed citations
13.
Pourpanah, Farhad, Ran Wang, Chee Peng Lim, et al.. (2019). An improved fuzzy ARTMAP and Q-learning agent model for pattern classification. Neurocomputing. 359. 139–152. 22 indexed citations
14.
Pourpanah, Farhad, Chee Peng Lim, Xizhao Wang, et al.. (2019). A hybrid model of fuzzy min–max and brain storm optimization for feature selection and data classification. Neurocomputing. 333. 440–451. 49 indexed citations
15.
Pourpanah, Farhad, Yuhui Shi, Chee Peng Lim, Qi Hao, & Choo Jun Tan. (2019). Feature selection based on brain storm optimization for data classification. Applied Soft Computing. 80. 761–775. 73 indexed citations
16.
Tan, Choo Jun, Siew Chin Neoh, Chee Peng Lim, et al.. (2017). Application of an evolutionary algorithm-based ensemble model to job-shop scheduling. Journal of Intelligent Manufacturing. 30(2). 879–890. 21 indexed citations
17.
Neoh, Siew Chin, Choo Jun Tan, Manjeevan Seera, & Chu Kiong Loo. (2016). Web-Based Career Path Model for Human Resource Management. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 8(12). 23–26. 1 indexed citations
18.
Tan, Choo Jun, Samer Hanoun, & Chee Peng Lim. (2015). A multi-objective evolutionary algorithm-based decision support system: A case study on job-shop scheduling in manufacturing. 170–174. 6 indexed citations
19.
Tan, Choo Jun, Chee Peng Lim, & Yu–N Cheah. (2013). A Modified micro Genetic Algorithm for undertaking Multi-Objective Optimization Problems. Journal of Intelligent & Fuzzy Systems. 24(3). 483–495. 19 indexed citations
20.
Tan, Choo Jun, Chee Peng Lim, & Yu–N Cheah. (2013). A multi-objective evolutionary algorithm-based ensemble optimizer for feature selection and classification with neural network models. Neurocomputing. 125. 217–228. 69 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Omar Saber Qasim Breakdown of academic impact, for papers by Souad Amjad Breakdown of academic impact, for papers by Mahmoud Abdel-Salam Breakdown of academic impact, for papers by Junbo Jacob Lian Breakdown of academic impact, for papers by Marwa Sharawi Breakdown of academic impact, for papers by Ziqian Wang Breakdown of academic impact, for papers by Kezong Tang Breakdown of academic impact, for papers by Jiayi Shi Breakdown of academic impact, for papers by Mohammed Qaraad Breakdown of academic impact, for papers by Pradip Dhal
Rankless by CCL
2026