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 Kay Chen Tan sits on this spectrum.
This scientist: 590 publications — 96th percentile
96% 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 Kay Chen Tan sits on this spectrum.
This scientist: 93 D-Index — 97th percentile
97% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Kay Chen Tan is affiliated with the Hong Kong Polytechnic University in China. Their research primarily focuses on computer science, with substantial contributions to the subfields of artificial intelligence, computational theory and mathematics, electrical and electronic engineering, cognitive neuroscience, and computer vision and pattern recognition.
The scientist's main topics of work include advanced multi-objective optimization algorithms, metaheuristic optimization algorithms research, evolutionary algorithms and applications, advanced memory and neural computing, neural dynamics and brain function, neural networks and reservoir computing, and machine learning and data classification.
Among recent publications, notable papers include:
Frequent co-authors in their research include Liang Feng, Jibin Wu, Qiuzhen Lin, Yaochu Jin, and Min Jiang.
The scientist has published extensively in venues such as arXiv (Cornell University), IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, and IEEE Computational Intelligence Magazine.
They have also contributed to book publications, notably with Springer Nature, including the book Evolutionary Multi-Task Optimization published in 2023.
Kay Chen Tan was awarded the IEEE Fellow distinction in 2014 for contributions to evolutionary multiobjective optimization.
Chong Zhang;Pin Lim;A. K. Qin;Kay Chen Tan
Chi-Keong Goh;Kay Chen Tan
Xianshun Chen;Yew-Soon Ong;Meng-Hiot Lim;Kay Chen Tan
K.C Tan;L.H Lee;Q.L Zhu;K Ou
Ruoxu Ren;Terence Hung;Kay Chen Tan
K. C. Tan;T. H. Lee;E. F. Khor
P. Vadakkepat;Kay Chen Tan;Wang Ming-Liang
Yuqiao Liu;Yanan Sun;Bing Xue;Mengjie Zhang
Abhishek Gupta;Yew-Soon Ong;Liang Feng;Kay Chen Tan
Kay Chen Tan;Tong Heng Lee;k-c-tan;Eik Fun Khor
Unknown
Liang Feng;Lei Zhou;Jinghui Zhong;Abhishek Gupta
Zhi-Hui Zhan;Lin Shi;Kay Chen Tan;Jun Zhang;Jun Zhang
Ye Tian;Langchun Si;Xingyi Zhang;Ran Cheng
K.C. Tan;T.H. Lee;E.F. Khor
Ye Tian;Yajie Zhang;Yansen Su;Xingyi Zhang
Honorary Chairs;Jacek Zurada;Andries Engelbrecht;Mengjie Zhang
Dasheng Liu;K.C. Tan;C.K. Goh;W.K. Ho
K.C. Tan;Y.J. Yang;C.K. Goh
Chi Keong Goh;Kay Chen Tan;D. S. Liu;Swee Chiang Chiam
Kay Chen Tan;Yoong Han Chew;Loo Hay Lee
Su Nguyen;Mengjie Zhang;Mark Johnston;Kay Chen Tan
Kay Chen Tan;Chun Yew Cheong;Chi Keong Goh
Keah-Choon Tan;Robert B. Handfield;D. R. Krause
K.C. Tan;T.H. Lee;Y.H. Chew;L.H. Lee
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