Yew-Soon Ong

27.4k total citations · 12 hit papers
448 papers, 17.4k citations indexed

About

Yew-Soon Ong is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yew-Soon Ong has authored 448 papers receiving a total of 17.4k indexed citations (citations by other indexed papers that have themselves been cited), including 284 papers in Artificial Intelligence, 131 papers in Computational Theory and Mathematics and 50 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yew-Soon Ong's work include Metaheuristic Optimization Algorithms Research (127 papers), Advanced Multi-Objective Optimization Algorithms (121 papers) and Evolutionary Algorithms and Applications (98 papers). Yew-Soon Ong is often cited by papers focused on Metaheuristic Optimization Algorithms Research (127 papers), Advanced Multi-Objective Optimization Algorithms (121 papers) and Evolutionary Algorithms and Applications (98 papers). Yew-Soon Ong collaborates with scholars based in Singapore, China and Australia. Yew-Soon Ong's co-authors include Abhishek Gupta, Liang Feng, Andy J. Keane, Haitao Liu, Jianfei Cai, Meng‐Hiot Lim, Prasanth B. Nair, Meng Hiot Lim, Kay Chen Tan and Zexuan Zhu and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Yew-Soon Ong

421 papers receiving 17.0k citations

Hit Papers

5 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.

Multifactorial Evolution: Toward Evolutionary Multitasking

2015 662 citations Abhishek Gupta, Yew-Soon Ong et al. IEEE Transactions on Evolutionary Computation profile →
Meta-Lamarckian Learning in Memetic Algorithms

2004 498 citations Yew-Soon Ong et al. IEEE Transactions on Evolutionary Computation profile →
When Gaussian Process Meets Big Data: A Review of Scalable GPs

2020 466 citations Haitao Liu, Yew-Soon Ong et al. IEEE Transactions on Neural Networks and Learning Systems profile →
A Multi-Facet Survey on Memetic Computation

2011 389 citations Yew-Soon Ong et al. IEEE Transactions on Evolutionary Computation profile →
Classification of adaptive memetic algorithms: a comparative study

2006 388 citations Yew-Soon Ong et al. profile →
Generalizing Surrogate-Assisted Evolutionary Computation

2009 366 citations Yew-Soon Ong et al. IEEE Transactions on Evolutionary Computation profile →
A survey of adaptive sampling for global metamodeling in support of simulation-based complex engineering design

2017 330 citations Haitao Liu, Yew-Soon Ong et al. profile →
Multiobjective Multifactorial Optimization in Evolutionary Multitasking

2016 320 citations Abhishek Gupta, Yew-Soon Ong et al. IEEE Transactions on Cybernetics profile →
Evolutionary Multitasking via Explicit Autoencoding

2018 304 citations Liang Feng, Abhishek Gupta et al. IEEE Transactions on Cybernetics profile →
Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II

2019 303 citations Kavitesh Kumar Bali, Yew-Soon Ong et al. IEEE Transactions on Evolutionary Computation profile →
Insights on Transfer Optimization: Because Experience is the Best Teacher

2017 270 citations Abhishek Gupta, Yew-Soon Ong et al. IEEE Transactions on Emerging Topics in Computational Intelligence profile →
CAN-PINN: A fast physics-informed neural network based on coupled-automatic–numerical differentiation method

2022 189 citations Yew-Soon Ong et al. profile →

Peers

Countries citing papers authored by Yew-Soon Ong

Since Specialization

Citations

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

Fields of papers citing papers by Yew-Soon Ong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yew-Soon Ong. 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 Yew-Soon Ong. The network helps show where Yew-Soon Ong may publish in the future.

Co-authorship network of co-authors of Yew-Soon Ong

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Development and Initial Validation of a Brief Multidimensional Falls Efficacy Scale 2025 ·PubMed ·(unknown), (unknown), (unknown), (unknown), Yew-Soon Ong, (unknown), (unknown), (unknown), (unknown), Wei Yang, (unknown)	0
2	Exploring Undergraduate Students' Computational Thinking Skills Across Engineering Design Processes 2025 ·Computer Applications in Engineering Education ·Gaoxia Zhu, (unknown), (unknown), Ibrahim H. Yeter, (unknown), Yew-Soon Ong	1
3	Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs 2024 ·npj Computational Materials ·(unknown), Flore Mekki‐Berrada, Abhishek Gupta, (unknown), Jiaxun Xie, (unknown), Yee‐Fun Lim, Qianxiao Li, Yew-Soon Ong, Saif A. Khan, Kedar Hippalgaonkar	34
4	Unified Denoising Training for Recommendation 2024 ·(unknown), (unknown), Zhu Sun, (unknown), Jie Zhang, Yew-Soon Ong	0
5	Generalizable and Discriminative Representations for Adversarially Robust Few-Shot Learning 2024 ·IEEE Transactions on Neural Networks and Learning Systems ·(unknown), Yuan Wang, Xiaohua Xie, Jianhuang Lai, Yew-Soon Ong	2
6	Pareto optimization with small data by learning across common objective spaces 2023 ·Scientific Reports ·Chin S. Tan, Abhishek Gupta, Yew-Soon Ong, Mahardhika Pratama, Puay Siew Tan, Siew-Kei Lam	9
7	Understanding Diversity in Session-based Recommendation 2023 ·ACM Transactions on Information Systems ·(unknown), Hui Fang, Zhu Sun, Yew-Soon Ong	7
8	Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression 2022 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Pengfei Wei, Yiping Ke, Yew-Soon Ong, Zejun Ma	4
9	Multiparty Dual Learning 2022 ·IEEE Transactions on Cybernetics ·Yuan Gao, Maoguo Gong, Yu Xie, A. K. Qin, (unknown), Yew-Soon Ong	12
10	Vicinal Vertex Allocation for Matrix Factorization in Networks 2021 ·IEEE Transactions on Cybernetics ·Tiantian He, Lu Bai, Yew-Soon Ong	17
11	Adaptive Knowledge Transfer based on Transfer Neural Kernel Network 2020 ·Adaptive Agents and Multi-Agents Systems ·Pengfei Wei, Xinghua Qu, Yiping Ke, Tze-Yun Leong, Yew-Soon Ong	1
12	Generalizing Transfer Bayesian Optimization to Source-Target Heterogeneity 2020 ·IEEE Transactions on Automation Science and Engineering ·(unknown), Abhishek Gupta, Yew-Soon Ong	22
13	When Gaussian Process Meets Big Data: A Review of Scalable GPs breakdown → 2020 ·IEEE Transactions on Neural Networks and Learning Systems ·Haitao Liu, Yew-Soon Ong, Xiaobo Shen, Jianfei Cai	466
14	Contextual Correlation Preserving Multiview Featured Graph Clustering 2019 ·IEEE Transactions on Cybernetics ·Tiantian He, Yang Liu, (unknown), Keith C. C. Chan, Yew-Soon Ong	42
15	Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II breakdown → 2019 ·IEEE Transactions on Evolutionary Computation ·Kavitesh Kumar Bali, Yew-Soon Ong, Abhishek Gupta, Puay Siew Tan	303
16	Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates 2018 ·IEEE Transactions on Cybernetics ·Jianping Luo, Abhishek Gupta, Yew-Soon Ong, Zhenkun Wang	72
17	A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries 2018 ·IEEE Transactions on Evolutionary Computation ·Zhenkun Wang, Yew-Soon Ong, Jianyong Sun, Abhishek Gupta, Qingfu Zhang	67
18	Domain Adaption via Feature Selection on Explicit Feature Map 2018 ·IEEE Transactions on Neural Networks and Learning Systems ·Wanyu Deng, Amaury Lendasse, Yew-Soon Ong, Ivor W. Tsang, Chen Lin, Qinghua Zheng	33
19	Insights on Transfer Optimization: Because Experience is the Best Teacher breakdown → 2017 ·IEEE Transactions on Emerging Topics in Computational Intelligence ·Abhishek Gupta, Yew-Soon Ong, Liang Feng	270
20	Heavy metal accumulation and antioxidant properties of Nephrolepis biserrata growing in heavy metal-contaminated soil 2015 ·Global NEST Journal ·Fazilah Abd Manan, Yew-Soon Ong, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	8

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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