Chun Yong Chong

896 total citations
49 papers, 497 citations indexed

About

Chun Yong Chong is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Chun Yong Chong has authored 49 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Information Systems, 14 papers in Computer Networks and Communications and 11 papers in Artificial Intelligence. Recurrent topics in Chun Yong Chong's work include Software Engineering Research (17 papers), Software System Performance and Reliability (10 papers) and Software Reliability and Analysis Research (7 papers). Chun Yong Chong is often cited by papers focused on Software Engineering Research (17 papers), Software System Performance and Reliability (10 papers) and Software Reliability and Analysis Research (7 papers). Chun Yong Chong collaborates with scholars based in Malaysia, Australia and Singapore. Chun Yong Chong's co-authors include Sai Peck Lee, I.M.S.K. Ilankoon, Kai Kang, Mei Kuan Lim, Teck Chaw Ling, Joanne Lim, Abubakar Zakari, Róisín McNaney, Rajendran Parthiban and Ali Safaa Sadiq and has published in prestigious journals such as PLoS ONE, Proceedings of the IEEE and Journal of Cleaner Production.

In The Last Decade

Chun Yong Chong

46 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun Yong Chong Malaysia 12 186 134 82 78 76 49 497
Luca Ardito Italy 14 179 1.0× 146 1.1× 94 1.1× 10 0.1× 60 0.8× 54 523
Abdelzahir Abdelmaboud Saudi Arabia 15 318 1.7× 352 2.6× 35 0.4× 14 0.2× 131 1.7× 61 790
Djamel Khadraoui Luxembourg 12 178 1.0× 126 0.9× 14 0.2× 11 0.1× 100 1.3× 70 415
Iftikhar Hussain Pakistan 12 90 0.5× 206 1.5× 20 0.2× 16 0.2× 133 1.8× 37 466
Peter Sommer United Kingdom 13 366 2.0× 124 0.9× 17 0.2× 40 0.5× 96 1.3× 47 614
Huan Huo Australia 15 220 1.2× 84 0.6× 32 0.4× 5 0.1× 265 3.5× 49 563
Luís Cruz Netherlands 13 174 0.9× 175 1.3× 54 0.7× 5 0.1× 137 1.8× 45 583
Roberto Verdecchia Netherlands 12 267 1.4× 115 0.9× 157 1.9× 3 0.0× 115 1.5× 41 539
Burairah Hussin Malaysia 14 261 1.4× 58 0.4× 88 1.1× 3 0.0× 259 3.4× 68 768

Countries citing papers authored by Chun Yong Chong

Since Specialization
Citations

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

Fields of papers citing papers by Chun Yong Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun Yong Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Chun Yong Chong. A scholar is included among the top collaborators of Chun Yong 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 Chun Yong Chong. Chun Yong 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, Chun Yong, et al.. (2025). Predicting software reuse using machine learning techniques—A case study on open-source Java software systems. PLoS ONE. 20(2). e0314512–e0314512. 1 indexed citations
2.
Chong, Chun Yong, et al.. (2024). REARRANGE: Effort estimation approach for software clustering-based remodularisation. Information and Software Technology. 176. 107567–107567.
3.
Lim, Mei Kuan, et al.. (2024). Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches. Sensors. 24(2). 348–348. 29 indexed citations
4.
Wang, Chaozheng, et al.. (2024). A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How. 281–293. 2 indexed citations
5.
Yang, Zhou, et al.. (2024). Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education. 1–11. 14 indexed citations
6.
Li, Yishu, et al.. (2024). LLM-Based Class Diagram Derivation from User Stories with Chain-of-Thought Promptings. 45–50. 1 indexed citations
7.
Chong, Chun Yong, et al.. (2024). What drives low‐income older adults' intention to use mobility applications?. Geriatrics and gerontology international. 24(S1). 342–350. 5 indexed citations
8.
Chong, Chun Yong, et al.. (2023). Preprocessing Variations for Classification in Smart Manufacturing. 1–7. 1 indexed citations
9.
Chong, Chun Yong, et al.. (2023). Open Design Case Study - A Crowdsourcing Effort to Curate Software Design Case Studies. 23–28. 1 indexed citations
10.
Lim, Joanne, et al.. (2023). ADFPA – A Deep Reinforcement Learning-based Flow Priority Allocation Scheme for Throughput Optimization in FANETs. Vehicular Communications. 44. 100684–100684. 3 indexed citations
11.
Chong, Chun Yong, et al.. (2023). Facial Expression Recognition as markers of Depression. 674–680. 1 indexed citations
12.
13.
Lim, Joanne, et al.. (2023). AQR-FANET: An Anticipatory Q-Learning-based Routing Protocol for FANETs. 6–11. 1 indexed citations
14.
15.
Chong, Chun Yong, et al.. (2022). Fairness evaluation in deepfake detection models using metamorphic testing. 7–14. 14 indexed citations
16.
Chong, Chun Yong, et al.. (2022). A framework of dynamic selection method for user classification in touch-based continuous mobile device authentication. Journal of Information Security and Applications. 67. 103217–103217. 6 indexed citations
17.
18.
Chong, Chun Yong, Sai Peck Lee, & Teck Chaw Ling. (2014). Prioritizing and fulfilling quality attributes for virtual lab development through application of fuzzy analytic hierarchy process and software development guidelines. Malaysian Journal of Computer Science. 27(1). 1–19. 10 indexed citations
19.
Chong, Chun Yong, Sai Peck Lee, & Teck Chaw Ling. (2013). Efficient software clustering technique using an adaptive and preventive dendrogram cutting approach. Information and Software Technology. 55(11). 1994–2012. 26 indexed citations
20.
Chong, Chun Yong, Sai Peck Lee, & Teck Chaw Ling. (2012). Development of virtual lab system through application of fuzzy analytic hierarchy process. 1. 207–211. 1 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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