| The fractal dimension of complex networks: A review T Wen, KH Cheong Information Fusion 73, 87-102, 2021 | 182 | 2021 |
| Identification of influencers in complex networks by local information dimensionality T Wen, Y Deng Information Sciences 512, 549-562, 2020 | 121 | 2020 |
| Vital spreaders identification in complex networks with multi-local dimension T Wen, D Pelusi, Y Deng Knowledge-Based Systems 195, 105717, 2020 | 78 | 2020 |
| The random walk-based gravity model to identify influential nodes in complex networks J Zhao, T Wen, H Jahanshahi, KH Cheong Information Sciences 609, 1706-1720, 2022 | 69 | 2022 |
| Exploring the vulnerability of transportation networks by entropy: A case study of Asia–Europe maritime transportation network T Wen, Q Gao, Y Chen, KH Cheong Reliability Engineering & System Safety 226, 108578, 2022 | 68 | 2022 |
| Relieving cost of epidemic by parrondo's paradox: a COVID‐19 case study KH Cheong, T Wen, JW Lai Advanced Science 7 (24), 2002324, 2020 | 62 | 2020 |
| The vulnerability of communities in complex networks: An entropy approach T Wen, Y Deng Reliability Engineering & System Safety 196, 106782, 2020 | 61 | 2020 |
| Information volume fractal dimension Q Gao, T Wen, Y Deng Fractals 29 (08), 1-9, 2021 | 54 | 2021 |
| Identifying influential nodes based on fuzzy local dimension in complex networks T Wen, W Jiang Chaos, Solitons & Fractals 119, 332-342, 2019 | 49 | 2019 |
| Measuring the complexity of complex network by Tsallis entropy T Wen, W Jiang Physica A: Statistical Mechanics and its Applications 526, 121054, 2019 | 44 | 2019 |
| Automatic COVID-19 detection using exemplar hybrid deep features with X-ray images PD Barua, NF Muhammad Gowdh, K Rahmat, N Ramli, WL Ng, WY Chan, ... International Journal of Environmental Research and Public Health 18 (15), 8052, 2021 | 40 | 2021 |
| Node similarity measuring in complex networks with relative entropy T Wen, S Duan, W Jiang Communications in Nonlinear Science and Numerical Simulation 78, 104867, 2019 | 38 | 2019 |
| Alternating lysis and lysogeny is a winning strategy in bacteriophages due to Parrondo's paradox KH Cheong#, T Wen#, S Benler, JM Koh, EV Koonin Proceedings of the National Academy of Sciences 119 (13), e2115145119, 2022 | 37 | 2022 |
| An information dimension of weighted complex networks T Wen, W Jiang Physica A: Statistical Mechanics and its Applications 501, 388-399, 2018 | 37 | 2018 |
| Gravity-based community vulnerability evaluation model in social networks: GBCVE T Wen, J Cao, KH Cheong IEEE Transactions on Cybernetics, 2021 | 31 | 2021 |
| A new information dimension of complex network based on Rényi entropy S Duan, T Wen, W Jiang Physica A: Statistical Mechanics and its Applications 516, 529-542, 2019 | 29 | 2019 |
| Extending the Lifespan of Multicellular Organisms via Periodic and Stochastic Intercellular Competition T Wen, KH Cheong, JW Lai, JM Koh, EV Koonin Physical Review Letters 128 (21), 218101, 2022 | 28 | 2022 |
| Visibility graph for time series prediction and image classification: A review T Wen, H Chen, KH Cheong Nonlinear Dynamics, 1-21, 2022 | 24 | 2022 |
| Evaluating topological vulnerability based on fuzzy fractal dimension T Wen, M Song, W Jiang International Journal of Fuzzy Systems 20, 1956-1967, 2018 | 24 | 2018 |
| An alternating active-dormitive strategy enables disadvantaged prey to outcompete the perennially active prey through Parrondo’s paradox T Wen, EV Koonin, KH Cheong BMC biology 19, 1-10, 2021 | 14 | 2021 |
Kang Hao CheongNanyang Technological Universityยืนยันอีเมลแล้วที่ ntu.edu.sg