Chin Soon Chong

1.4k citations
30 papers · 1.0k indexed · h-index 15

Chin Soon Chong

29 papers receiving 930 citations

Peers

Chin Soon Chong
Comparison fields: 5 of 68
  • Industrial and Manufacturing Engineering 663
  • Artificial Intelligence 390
  • Management Science and Operations Research 98
  • Management Information Systems 65
  • Computer Networks and Communications 165
Replace Tay Jin Chua with:
Tay Jin Chua Singapore
Appa Iyer Sivakumar Singapore
Xiwen Lu China
Feng‐Tse Lin Taiwan
Donald Davendra Czechia
Una Benlic China
Gary L. Hogg United States
Xianshun Chen Singapore
Michaël Sampels Belgium
Li‐Pei Wong Malaysia
Chin Soon Chong relative to Tay Jin Chua Singapore Tay Jin Chua's profile →
Citations per field
00.5×1.5×
Tay Jin Chua · 1×
Citations per year

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

The 20 scholars most cited alongside Chin Soon Chong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chin Soon Chong Line = papers co-authored together Chin Soon Chong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20221
2 20142
3 20141
4 20134
5 20110
6 201027
7 201013
8 200832
9 200717
10 2006113
11 20063
12 2006101
13 20054
14 20053
15 20051
16 200410
17 20043
18 200314
19 20039
20 20023

About Chin Soon Chong

Chin Soon Chong is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems, Management Science and Operations Research, Computational Theory and Mathematics and Artificial Intelligence, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (19 papers), Advanced Manufacturing and Logistics Optimization (11 papers), Metaheuristic Optimization Algorithms Research (10 papers), Assembly Line Balancing Optimization (6 papers), Vehicle Routing Optimization Methods (6 papers), Simulation Techniques and Applications (6 papers), Business Process Modeling and Analysis (5 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (663 citations), Artificial Intelligence (390 citations), Management Science and Operations Research (98 citations), Management Information Systems (65 citations) and Computer Networks and Communications (165 citations). Chin Soon Chong has collaborated with scholars based in Singapore, Malaysia and United States. Frequent co-authors include Malcolm Yoke Hean Low, Appa Iyer Sivakumar, Li‐Pei Wong, Quan-Ke Pan, Tay Jin Chua, Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan, Yang-Kuei Lin, Peter Lendermann and John Fowler. Their work appears in journals such as International Journal of Bio-Inspired Computation, Expert Systems with Applications, Computers in Industry, Rapid Communications in Mass Spectrometry and Journal of Intelligent Manufacturing.

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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