Koon Meng Ang

936 total citations · 1 hit paper
15 papers, 504 citations indexed

About

Koon Meng Ang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Koon Meng Ang has authored 15 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Koon Meng Ang's work include Metaheuristic Optimization Algorithms Research (8 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Machine Learning and ELM (4 papers). Koon Meng Ang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Machine Learning and ELM (4 papers). Koon Meng Ang collaborates with scholars based in Malaysia, India and Egypt. Koon Meng Ang's co-authors include Wei Hong Lim, Nor Ashidi Mat Isa, M. F. Ahmad, Sew Sun Tiang, Chin Hong Wong, Abdelaziz A. Abdelhamid, Doaa Sami Khafaga, El‐Sayed M. El‐kenawy, Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ and Elango Natarajan and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Computers & Industrial Engineering.

In The Last Decade

Koon Meng Ang

14 papers receiving 489 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Differential evolution: A recent review based on state-of-the-art works

2021 288 citations M. F. Ahmad, Nor Ashidi Mat Isa et al. Alexandria Engineering Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Koon Meng Ang Malaysia	8	245	122	92	90	48	15	504
Hira Zaheer India	5	324 1.3×	174 1.4×	106 1.2×	101 1.1×	52 1.1×	6	669
Tianran Zhang China	6	356 1.5×	158 1.3×	168 1.8×	125 1.4×	61 1.3×	11	668
Changsheng Wen China	10	355 1.4×	182 1.5×	74 0.8×	82 0.9×	90 1.9×	12	588
Honghua Rao China	12	368 1.5×	190 1.6×	81 0.9×	89 1.0×	105 2.2×	19	624
M. F. Ahmad Malaysia	5	155 0.6×	78 0.6×	76 0.8×	68 0.8×	35 0.7×	8	376
Russ Eberhart United States	4	297 1.2×	130 1.1×	65 0.7×	110 1.2×	36 0.8×	6	582
Andi Tang China	8	256 1.0×	109 0.9×	79 0.9×	78 0.9×	68 1.4×	13	471
Yunlong Zhu China	8	167 0.7×	85 0.7×	69 0.8×	75 0.8×	31 0.6×	14	370
Ricardo Tanscheit Brazil	12	293 1.2×	54 0.4×	90 1.0×	131 1.5×	36 0.8×	64	534

Countries citing papers authored by Koon Meng Ang

Since Specialization

Citations

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

Fields of papers citing papers by Koon Meng Ang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koon Meng Ang. 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 Koon Meng Ang. The network helps show where Koon Meng Ang may publish in the future.

Co-authorship network of co-authors of Koon Meng Ang

This figure shows the co-authorship network connecting the top 25 collaborators of Koon Meng Ang. A scholar is included among the top collaborators of Koon Meng Ang 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 Koon Meng Ang. Koon Meng Ang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Ang, Koon Meng, Chin Hong Wong, Abhishek Sharma, et al.. (2024). Optimized Convolutional Neural Network Towards Effective Wafer Defects Classification. Proceedings of International Conference on Artificial Life and Robotics. 29. 865–870.

Ang, Koon Meng, Wei Hong Lim, Sew Sun Tiang, et al.. (2023). Optimizing Image Classification: Automated Deep Learning Architecture Crafting with Network and Learning Hyperparameter Tuning. Biomimetics. 8(7). 525–525. 2 indexed citations

Ang, Koon Meng, Wei Hong Lim, Sew Sun Tiang, et al.. (2023). MTLBORKS-CNN: An Innovative Approach for Automated Convolutional Neural Network Design for Image Classification. Mathematics. 11(19). 4115–4115. 8 indexed citations

Ang, Koon Meng, Chin Hong Wong, Abhishek Sharma, et al.. (2023). Classification of Wafer Defects with Optimized Deep Learning Model. Proceedings of International Conference on Artificial Life and Robotics. 28. 609–614. 1 indexed citations

Ang, Koon Meng, et al.. (2022). New Particle Swarm Optimization Variant with Modified Neighborhood Structure. Proceedings of International Conference on Artificial Life and Robotics. 27. 169–173. 1 indexed citations

Ang, Koon Meng, et al.. (2022). New Hybridization Algorithm of Differential Evolution and Particle Swarm Optimization for Efficient Feature Selection. Proceedings of International Conference on Artificial Life and Robotics. 27. 148–152. 3 indexed citations

Ang, Koon Meng, Elango Natarajan, Nor Ashidi Mat Isa, et al.. (2022). Modified teaching-learning-based optimization and applications in multi-response machining processes. Computers & Industrial Engineering. 174. 108719–108719. 12 indexed citations

Ang, Koon Meng, El‐Sayed M. El‐kenawy, Abdelaziz A. Abdelhamid, et al.. (2022). A Modified Particle Swarm Optimization Algorithm for Optimizing Artificial Neural Network in Classification Tasks. Processes. 10(12). 2579–2579. 14 indexed citations

Natarajan, Elango, et al.. (2022). Production Wastage Avoidance Using Modified Multi-Objective Teaching Learning Based Optimization Embedded With Refined Learning Scheme. IEEE Access. 10. 19186–19214. 9 indexed citations

10.

Ahmad, M. F., Nor Ashidi Mat Isa, Wei Hong Lim, & Koon Meng Ang. (2022). Differential evolution with modified initialization scheme using chaotic oppositional based learning strategy. Alexandria Engineering Journal. 61(12). 11835–11858. 43 indexed citations

11.

Ang, Koon Meng, El‐Sayed M. El‐kenawy, Abdelaziz A. Abdelhamid, et al.. (2022). Optimal Design of Convolutional Neural Network Architectures Using Teaching–Learning-Based Optimization for Image Classification. Symmetry. 14(11). 2323–2323. 20 indexed citations

12.

Ahmad, M. F., Nor Ashidi Mat Isa, Wei Hong Lim, & Koon Meng Ang. (2021). Differential evolution: A recent review based on state-of-the-art works. Alexandria Engineering Journal. 61(5). 3831–3872. 288 indexed citations breakdown →

13.

Ang, Koon Meng, et al.. (2021). Modified Particle Swarm Optimization with Chaotic Initialization Scheme for Unconstrained Optimization Problems. 3(1). 35–43. 1 indexed citations

14.

Ang, Koon Meng. (2020). A Constrained Teaching-learning-based Optimization with Modified Learning Phases for Constrained Optimization. Journal of Advanced Research in Dynamical and Control Systems. 12(SP4). 1442–1456. 2 indexed citations

15.

Ang, Koon Meng, Wei Hong Lim, Nor Ashidi Mat Isa, Sew Sun Tiang, & Chin Hong Wong. (2019). A constrained multi-swarm particle swarm optimization without velocity for constrained optimization problems. Expert Systems with Applications. 140. 112882–112882. 100 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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