The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Yew-Soon Ong sits on this spectrum.
This scientist: 467 publications — 91st percentile
91% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Yew-Soon Ong sits on this spectrum.
This scientist: 81 D-Index — 93rd percentile
93% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Yew-Soon Ong is affiliated with Nanyang Technological University in Singapore and specializes in computer science with a particular focus on artificial intelligence. Their body of work includes contributions across several subfields such as computer vision and pattern recognition, computational theory and mathematics, information systems, and management science and operations research.
The main research topics covered by Yew-Soon Ong consist of advanced multi-objective optimization algorithms, metaheuristic optimization algorithms research, evolutionary algorithms and applications, recommender systems and techniques, domain adaptation and few-shot learning, Gaussian processes and Bayesian inference, and topic modeling.
Recent papers authored under their guidance or collaboration include the following:
Yew-Soon Ong frequently collaborates with several co-authors, including Abhishek Gupta, Zhu Sun, Kay Chen Tan, Liang Feng, and Tiantian He, demonstrating a consistent pattern of joint research efforts.
Their publications are commonly found in venues such as arXiv (Cornell University), IEEE Computational Intelligence Magazine, IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, and IEEE Transactions on Evolutionary Computation.
In addition to journal articles, Yew-Soon Ong has contributed to book literature. Notably, they have published a work with Springer Nature titled Evolutionary Multi-Task Optimization (2023).
Abhishek Gupta;Yew-Soon Ong;Liang Feng
Haitao Liu;Yew-Soon Ong;Xiaobo Shen;Jianfei Cai
Yew Soon Ong;A.J. Keane
Yew-Soon Ong;Meng-Hiot Lim;Ning Zhu;Kok-Wai Wong
Erik Cambria;Guang-Bin Huang;Liyanaarachchi Lekamalage Chamara Kasun;Hongming Zhou
Xianshun Chen;Yew-Soon Ong;Meng-Hiot Lim;Kay Chen Tan
Zexuan Zhu;Yew-Soon Ong;M. Dash
Lipo Wang;Ke Chen;Yew Soon Ong
Dudy Lim;Yaochu Jin;Yew-Soon Ong;Bernhard Sendhoff
Zexuan Zhu;Yew-Soon Ong;Manoranjan Dash
Zongzhao Zhou;Yew Soon Ong;P.B. Nair;A.J. Keane
Hai-Jun Rong;Yew-Soon Ong;Ah-Hwee Tan;Zexuan Zhu
Haitao Liu;Yew-Soon Ong;Jianfei Cai
Abhishek Gupta;Yew-Soon Ong;Liang Feng;Kay Chen Tan
Yew-Soon Ong;Meng Lim;Xianshun Chen
Liang Feng;Lei Zhou;Jinghui Zhong;Abhishek Gupta
Kavitesh Kumar Bali;Yew-Soon Ong;Abhishek Gupta;Puay Siew Tan
Siwei Jiang;Yew-Soon Ong;Jie Zhang;Liang Feng
Abhishek Gupta;Yew-Soon Ong;Liang Feng
Maha Elarbi;Slim Bechikh;Abhishek Gupta;Lamjed Ben Said
Yew-Soon Ong;P.B. Nair;K.Y. Lum
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