Kay Chen Tan

32.2k total citations · 12 hit papers
561 papers, 22.6k citations indexed

About

Kay Chen Tan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Kay Chen Tan has authored 561 papers receiving a total of 22.6k indexed citations (citations by other indexed papers that have themselves been cited), including 332 papers in Artificial Intelligence, 207 papers in Computational Theory and Mathematics and 64 papers in Control and Systems Engineering. Recurrent topics in Kay Chen Tan's work include Metaheuristic Optimization Algorithms Research (219 papers), Advanced Multi-Objective Optimization Algorithms (196 papers) and Evolutionary Algorithms and Applications (163 papers). Kay Chen Tan is often cited by papers focused on Metaheuristic Optimization Algorithms Research (219 papers), Advanced Multi-Objective Optimization Algorithms (196 papers) and Evolutionary Algorithms and Applications (163 papers). Kay Chen Tan collaborates with scholars based in Singapore, Hong Kong and China. Kay Chen Tan's co-authors include Chi-Keong Goh, Liang Feng, A. K. Qin, Haizhou Li, Yaochu Jin, Mengjie Zhang, Su Nguyen, Yew-Soon Ong, Xiaoxiang Shen and Chong Zhang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.

In The Last Decade

Kay Chen Tan

535 papers receiving 21.7k 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.

Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics

2016 669 citations Pin Lim, A. K. Qin et al. IEEE Transactions on Neural Networks and Learning Systems profile →
A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization

2008 439 citations Chi-Keong Goh, Kay Chen Tan IEEE Transactions on Evolutionary Computation profile →
A Generic Deep-Learning-Based Approach for Automated Surface Inspection

2017 394 citations Kay Chen Tan et al. IEEE Transactions on Cybernetics profile →
A Multi-Facet Survey on Memetic Computation

2011 389 citations Kay Chen Tan et al. IEEE Transactions on Evolutionary Computation profile →
Multiobjective Multifactorial Optimization in Evolutionary Multitasking

2016 320 citations Kay Chen Tan et al. IEEE Transactions on Cybernetics profile →
Evolutionary Multitasking via Explicit Autoencoding

2018 304 citations Kay Chen Tan, A. K. Qin et al. IEEE Transactions on Cybernetics profile →
A survey on evolutionary computation for complex continuous optimization

2021 271 citations Kay Chen Tan et al. profile →
Evolutionary Large-Scale Multi-Objective Optimization: A Survey

2021 255 citations Ye Tian, Xingyi Zhang et al. profile →
A Survey on Evolutionary Constrained Multiobjective Optimization

2022 242 citations Kay Chen Tan et al. IEEE Transactions on Evolutionary Computation profile →
Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization

2021 240 citations Ye Tian, Xingyi Zhang et al. IEEE Transactions on Cybernetics profile →
Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research

2021 214 citations Kay Chen Tan, Min Jiang et al. profile →
Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization

2022 143 citations Kay Chen Tan et al. IEEE Transactions on Evolutionary Computation profile →

Peers

Countries citing papers authored by Kay Chen Tan

Since Specialization

Citations

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

Fields of papers citing papers by Kay Chen Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay Chen Tan. 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 Kay Chen Tan. The network helps show where Kay Chen Tan may publish in the future.

Co-authorship network of co-authors of Kay Chen Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Kay Chen Tan. A scholar is included among the top collaborators of Kay Chen Tan 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 Kay Chen Tan. Kay Chen Tan 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	scKAN: interpretable single-cell analysis for cell-type-specific gene discovery and drug repurposing via Kolmogorov-Arnold networks 2025 ·Genome biology ·Haohuai He, (unknown), Guanxing Chen, (unknown), Yao Hu, Yuanming Feng, Jibin Wu, Yu‐An Huang, Zhi-An Huang, Kay Chen Tan	0
2	An Evolutionary Algorithm for Solving Large-Scale Robust Multiobjective Optimization Problems 2024 ·IEEE Transactions on Evolutionary Computation ·(unknown), Ye Tian, Limiao Zhang, Kay Chen Tan, Xingyi Zhang	11
3	Spatial-Temporal Knowledge Transfer for Dynamic Constrained Multiobjective Optimization 2024 ·IEEE Transactions on Evolutionary Computation ·Zhenzhong Wang, (unknown), Min Jiang, Kay Chen Tan	4
4	When Audio Denoising Meets Spiking Neural Network 2024 ·PolyU Institutional Research Archive (Hong Kong Polytechnic University) ·Xiang Hao, Chenxiang Ma, Yang Qu, Kay Chen Tan, Jibin Wu	2
5	TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Yang Qu, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan	7
6	Effective Identification of Lower-Level Optimal Solutions via Discriminator of Conditional Generative Adversarial Network 2024 ·IEEE Transactions on Evolutionary Computation ·Weizhong Wang, Hai‐Lin Liu, Kay Chen Tan	1
7	Evolutionary Neural Architecture Search for Transferable Networks 2024 ·IEEE Transactions on Emerging Topics in Computational Intelligence ·(unknown), Songbai Liu, A. K. Qin, Kay Chen Tan	3
8	Global and Local Search Experience-Based Evolutionary Sequential Transfer Optimization 2024 ·IEEE Transactions on Evolutionary Computation ·(unknown), Kai Zhang, Xiaoming Xue, Kay Chen Tan, Jian Wang, Liming Zhang, Piyang Liu, Xia Yan	2
9	EvoX: A Distributed GPU-Accelerated Framework for Scalable Evolutionary Computation 2024 ·IEEE Transactions on Evolutionary Computation ·(unknown), Ran Cheng, Zhuozhao Li, Yaochu Jin, Kay Chen Tan	16
10	A Semi-supervised Emitter Identification Method for Imbalanced Category 2022 ·SHILAP Revista de lepidopterología ·Kay Chen Tan, Limin Zhang, Wenjun Yan, Congan Xu, Qing Ling, Hailong Liu	0
11	IEEE Computational Intelligence Society Information 2022 ·IEEE Transactions on Neural Networks and Learning Systems ·Marley Vellasco, P. A. Estévez, James F. Keller, Kay Chen Tan, Luis Magdalena, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	1
12	Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI 2022 ·IEEE Transactions on Neural Networks and Learning Systems ·Zhi-An Huang, Rui Liu, Zexuan Zhu, Kay Chen Tan	19
13	Fast Multilabel Feature Selection via Global Relevance and Redundancy Optimization 2022 ·IEEE Transactions on Neural Networks and Learning Systems ·Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Jinyi Long, Jian Weng, Kay Chen Tan	29
14	Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI 2022 ·IEEE Transactions on Neural Networks and Learning Systems ·Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka‐Chun Wong, Kay Chen Tan	27
15	Action Command Encoding for Surrogate-Assisted Neural Architecture Search 2021 ·IEEE Transactions on Cognitive and Developmental Systems ·Ye Tian, (unknown), Shangshang Yang, Xingyi Zhang, Kay Chen Tan, Yaochu Jin	8
16	Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks 2020 ·IEEE Transactions on Cybernetics ·Ye Tian, Chang Lü, Xingyi Zhang, Kay Chen Tan, Yaochu Jin	206
17	Identifying Autism Spectrum Disorder From Resting-State fMRI Using Deep Belief Network 2020 ·IEEE Transactions on Neural Networks and Learning Systems ·Zhi-An Huang, Zexuan Zhu, (unknown), Kay Chen Tan	120
18	Spatio–Spectral Representation Learning for Electroencephalographic Gait-Pattern Classification 2018 ·IEEE Transactions on Neural Systems and Rehabilitation Engineering ·Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun, Nitish V. Thakor, Anastasios Bezerianos, Junhua Li	50
19	Estimation of Remaining Useful Life Based on Switching Kalman Filter Neural Network Ensemble 2014 ·Annual Conference of the PHM Society ·Pin Lim, Chi-Keong Goh, Kay Chen Tan, P.S. Dutta	30
20	Model reduction in control systems by means of global structure evolution and local parameter learning 1997 ·ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) ·Yun Li, Kay Chen Tan, (unknown)	3

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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