Wee-Chong Oon

526 citations
19 papers · 411 · h-index 9

Impact in

Papers in

Wee-Chong Oon

18 papers receiving 385 citations

Peers

Wee-Chong Oon
Comparison fields: 5 of 41
  • Computer Science Applications 128
  • Industrial and Manufacturing Engineering 207
  • Computer Graphics and Computer-Aided Design 68
  • Software 57
  • Media Technology 44
Replace Hsi‐Min Chen with:
Hsi‐Min Chen Taiwan
Graham Tate New Zealand
Jennifer Brings Germany
Daniel Ståhl Sweden
Atsuo Hazeyama Japan
Ward Cunningham United States
Francesco Lelli Italy
Massood Towhidnejad United States
Jorge Figueiredo Brazil
Francesco Di Cerbo Italy
Wee-Chong Oon relative to Hsi‐Min Chen Taiwan Hsi‐Min Chen's profile →
Citations per field
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Hsi‐Min Chen · 1×
Citations per year

Countries citing papers authored by Wee-Chong Oon

Since Specialization
Citations

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

Fields of papers citing papers by Wee-Chong Oon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wee-Chong Oon. 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 Wee-Chong Oon. The network helps show where Wee-Chong Oon may publish in the future.

Co-authors

The 12 scholars most cited alongside Wee-Chong Oon, 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 Wee-Chong Oon Line = papers co-authored together Wee-Chong Oon links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2003178
2 201174
3 201230
4 201130
5 201228
6 201215
7 201213
8
A Campus-Wide University Examination Timetabling Application
20008
9
Space Defragmentation Heuristic for 2D and 3D Bin Packing Problems
20128
10 20025
11 20104
12 20024
13
M 2 ICAL analyses HC-gammon
20074
14 20104
15 20152
16 20022
17 20071
18 20021
19 19990

About Wee-Chong Oon

Wee-Chong Oon is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Computer Networks and Communications and Management Science and Operations Research, having authored 19 papers that have together received 411 indexed citations. Recurring topics across this work include Optimization and Packing Problems (9 papers), Advanced Manufacturing and Logistics Optimization (7 papers), Computational Geometry and Mesh Generation (7 papers), Vehicle Routing Optimization Methods (6 papers), Scheduling and Timetabling Solutions (4 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Constraint Satisfaction and Optimization (3 papers) and Artificial Intelligence in Games (2 papers). The work is most often cited by research in Computer Science Applications (128 citations), Industrial and Manufacturing Engineering (207 citations), Computer Graphics and Computer-Aided Design (68 citations), Software (57 citations) and Media Technology (44 citations). Wee-Chong Oon has collaborated with scholars based in Singapore, Hong Kong and China. Frequent co-authors include Andrew Lim, Brenda Cheang, Wenbin Zhu, Lijun Wei, Hu Qin, Yongquan Li, Zhaoyi Zhang, Martin Henz, Andrew and Zhixing Luo. Their work appears in journals such as European Journal of Operational Research, Applied Intelligence, INFORMS Journal on Applied Analytics, Computers & Education and Computational Optimization and Applications.

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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