Ø 个人简介
伟德betvlctor1946源于英国教师，硕士生导师。主要从事复杂网络的结构与动力学分析、图机器学习、深度学习、数据分析与可视化等研究。近年来，主持国家自然科学基金青年项目和湖北省自然科学基金青年项目各一项，参与国家电网重点项目、国家自然科学基金重大项目以及面上项目3项。以第一作者或通讯作者身份在IEEE Trans系列、Phys. Rev. E、中国科学等国内外学术期刊上发表论文15余篇。担任Nature Reviews Physics、IEEE Transactions on Industrial Informatics、IEEE Transactions on Network Science and Engineering、Knowledge-Based Systems、Mathematics and Computers in Simulation、Chaos等期刊的审稿人。个人主页：https://danchenzqf.github.io/
办公地点：4号楼202A
电子邮箱：danchen@wtu.edu.cn
Ø 教育经历
2012.09-2016.06 湖北汽车工业学院 电子信息工程 大学本科
2016.09-2019.06 湖北大学 电路与系统 硕士研究生
2020.09-2024.03 华中科技大学 控制科学与工程 博士研究生
Ø 工作经历
2024.05-2024.12 湖北文理学院汽车与交通工程学院 讲师
2025.01-至今 伟德betvlctor1946源于英国 讲师
Ø 研究方向
复杂网络、图机器学习、深度学习、信息理论、数据分析与可视化
Ø 代表性成果
1. Dan Chen, Housheng Su, Hua Zhang. Community Detection-Based Renormalization Method for Power Grids Topology. IEEE Transactions on Industrial Informatics (Early Access), 25 November 2025, doi: 10.1109/TII.2025.3632843.
2. Dan Chen, Housheng Su. Extracting high-fidelity smaller scale subgraphs of complex networks by edge-reinforced random walk. IEEE Transactions on Computational Social Systems, 2024, 11(5): 6181-6191.
3. Dan Chen, Defu Cai, Housheng Su. Scaling properties of scale-free networks in degree-thresholding renormalization flows. IEEE Transactions on Network Science and Engineering, 2023, 10(6): 3519-3528.
4. Dan Chen, Housheng Su, Zhigang Zeng. Geometric renormalization reveals the self-similarity of weighted networks. IEEE Transactions on Computational Social Systems, 2023, 10(2): 426-434.
5. Dan Chen, Housheng Su. Identification of influential nodes in complex networks with degree and average neighbor degree. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023, 13(3): 734-742.
6. Dan Chen, Defu Cai, Housheng Su. Self-similarity of complex networks under centrality-based node removal strategy. Chinese Physics B, 2023, 32: 098903.
7. Dan Chen, Housheng Su, Xiaofan Wang, et al. Finite-size scaling of geometric renormalization flows in complex networks. Physical Review E, 2021, 104(3): 034304.
8. 石丹丹, 陈单*, 龙慧敏, 等. 基于通信序列熵的复杂网络信息度量研究. 中国科学: 物理学 力学 天文学, 2019, 49: 070502.
9. Dan Chen, Rui-Wu Niu, Gui-Jun Pan. Correlations between communicability sequence entropy and transport performance in spatially embedded networks. Physical Review E, 2019, 99(6): 062310.
10. Dan Chen, Dan-Dan Shi, Mi Qin, et al. Complex network comparison based on communicability sequence entropy. Physical Review E, 2018, 98(1): 012319.
