Chin Soon Chong

1.4k total citations
30 papers, 1.0k citations indexed

About

Chin Soon Chong is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Chin Soon Chong has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Industrial and Manufacturing Engineering, 10 papers in Artificial Intelligence and 7 papers in Management Information Systems. Recurrent topics in Chin Soon Chong's work include Scheduling and Optimization Algorithms (19 papers), Advanced Manufacturing and Logistics Optimization (11 papers) and Metaheuristic Optimization Algorithms Research (10 papers). Chin Soon Chong is often cited by papers focused on Scheduling and Optimization Algorithms (19 papers), Advanced Manufacturing and Logistics Optimization (11 papers) and Metaheuristic Optimization Algorithms Research (10 papers). Chin Soon Chong collaborates with scholars based in Singapore, Malaysia and United States. Chin Soon Chong's co-authors include Malcolm Yoke Hean Low, Appa Iyer Sivakumar, Li‐Pei Wong, Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan, Tay Jin Chua, Quan-Ke Pan, Yang-Kuei Lin, Peter Lendermann and John Fowler and has published in prestigious journals such as Expert Systems with Applications, Rapid Communications in Mass Spectrometry and Computers in Industry.

In The Last Decade

Chin Soon Chong

29 papers receiving 930 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chin Soon Chong Singapore 15 663 390 165 98 96 30 1.0k
Tay Jin Chua Singapore 12 1.0k 1.5× 457 1.2× 179 1.1× 86 0.9× 143 1.5× 25 1.3k
Appa Iyer Sivakumar Singapore 16 723 1.1× 160 0.4× 126 0.8× 80 0.8× 69 0.7× 52 901
Li‐Pei Wong Malaysia 14 349 0.5× 357 0.9× 81 0.5× 60 0.6× 98 1.0× 25 626
Xianshun Chen Singapore 7 189 0.3× 545 1.4× 86 0.5× 61 0.6× 276 2.9× 14 874
Una Benlic China 17 407 0.6× 257 0.7× 161 1.0× 95 1.0× 133 1.4× 32 772
Donald Davendra Czechia 16 282 0.4× 547 1.4× 124 0.8× 33 0.3× 132 1.4× 67 968
Xiwen Lu China 18 415 0.6× 81 0.2× 226 1.4× 61 0.6× 271 2.8× 69 1.0k
Michaël Sampels Belgium 9 326 0.5× 191 0.5× 118 0.7× 155 1.6× 85 0.9× 19 587
Feng‐Tse Lin Taiwan 12 144 0.2× 162 0.4× 87 0.5× 262 2.7× 73 0.8× 28 626
Yanhong Feng China 15 321 0.5× 550 1.4× 178 1.1× 35 0.4× 221 2.3× 22 831

Countries citing papers authored by Chin Soon Chong

Since Specialization
Citations

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

Fields of papers citing papers by Chin Soon Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin Soon Chong. 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 Chin Soon Chong. The network helps show where Chin Soon Chong may publish in the future.

Co-authorship network of co-authors of Chin Soon Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Chin Soon Chong. A scholar is included among the top collaborators of Chin Soon Chong 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 Chin Soon Chong. Chin Soon Chong 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.
Chong, Chin Soon, et al.. (2022). Development of a Data-Driven Simulation Model for an Assembly-To-Order System. 2022 Winter Simulation Conference (WSC). 7. 1853–1863. 1 indexed citations
2.
Lin, Liyong, et al.. (2014). Supervisory Control for a Class of Discrete Event Systems for Optimal Throughput. IFAC Proceedings Volumes. 47(2). 201–207. 2 indexed citations
3.
Lin, Liyong, et al.. (2014). Discrete-event based vehicle dispatching and scheduling in multicommodity transportations. 57. 169–174. 1 indexed citations
4.
Gao, Kaizhou, et al.. (2013). Hybrid discrete harmony search algorithm for scheduling re-processing problem in remanufacturing. 1261–1268. 4 indexed citations
5.
6.
Wong, Li‐Pei, Malcolm Yoke Hean Low, & Chin Soon Chong. (2010). A Generic Bee Colony Optimization Framework for Combinatorial Optimization Problems. 13 indexed citations
7.
Wong, Li‐Pei, et al.. (2010). Bee colony optimisation algorithm with big valley landscape exploitation for job shop scheduling problems. International Journal of Bio-Inspired Computation. 2(2). 85–85. 27 indexed citations
8.
Wong, Li‐Pei, Malcolm Yoke Hean Low, & Chin Soon Chong. (2008). Bee Colony Optimization with local search for traveling salesman problem. 1019–1025. 32 indexed citations
9.
Wong, Li‐Pei, Malcolm Yoke Hean Low, & Chin Soon Chong. (2008). A Bee Colony Optimization Algorithm for Traveling Salesman Problem. 818–823. 102 indexed citations
10.
Vaidyanathan, Seetharaman, et al.. (2007). Laser desorption/ionization mass spectrometry on porous silicon for metabolome analyses: influence of surface oxidation. Rapid Communications in Mass Spectrometry. 21(13). 2157–2166. 17 indexed citations
11.
Chong, Chin Soon, Appa Iyer Sivakumar, & Malcolm Yoke Hean Low. (2006). A bee colony optimization algorithm to job shop scheduling. Winter Simulation Conference. 1954–1961. 113 indexed citations
12.
Chong, Chin Soon, et al.. (2006). Using Simulation Based Approach to Improve on the Mean Cycle Time Performance of Dispatching Rules. Proceedings of the Winter Simulation Conference, 2005.. 2194–2202. 3 indexed citations
13.
Chong, Chin Soon, Malcolm Yoke Hean Low, & Appa Iyer Sivakumar. (2005). Using simulation based approach to improve on the mean cycle time performance of dispatching rules. Winter Simulation Conference. 2194–2202. 4 indexed citations
14.
Chong, Chin Soon, et al.. (2005). Analysis of a Customer Demand Driven Semiconductor Supply Chain in a Distributed Simulation Test Bed. Proceedings of the 2004 Winter Simulation Conference, 2004.. 2. 818–825. 3 indexed citations
15.
Chong, Chin Soon, et al.. (2005). Analysis and Enhancement of Planning and Scheduling Applications in a Distributed Simulation Testbed. Proceedings of the 2004 Winter Simulation Conference, 2004.. 2. 720–727. 1 indexed citations
16.
Chong, Chin Soon, et al.. (2004). Analysis of a customer demand driven semiconductor supply chain in a distributed simulation test bed. Winter Simulation Conference. 2. 1902–1909. 10 indexed citations
17.
Julka, Nirupam, et al.. (2004). Analysis and enhancement of planning and scheduling applications in a distributed simulation testbed. Winter Simulation Conference. 2. 1799–1806. 3 indexed citations
18.
Chong, Chin Soon & Appa Iyer Sivakumar. (2003). Dynamic scheduling I: simulation-based scheduling for dynamic discrete manufacturing. Winter Simulation Conference. 1465–1473. 14 indexed citations
19.
20.
Chong, Chin Soon & Appa Iyer Sivakumar. (2002). Semiconductor manufacturing: design, development and application of an object oriented simulation toolkit for real-time semiconductor manufacturing scheduling. Winter Simulation Conference. 1849–1856. 3 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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