王访，男，博士，教授，博士生导师，加拿大新不伦瑞克大学博士后。现任湖南农业大学统计学专业负责人。湖南省研究生/大学生数学建模竞赛组委会委员，湖南省教育系统优秀共产党员，湖南省青年骨干教师培养对象，湖南省高校青年教师教学能手，湖南农业大学“1515”学术骨干人才。主要研究方向为分形统计理论及其在环境、电力、图像、光谱等领域的应用，获得湖南省自然科学二等奖1项，湖南省高等教育省级教学成果三等奖1项。主持国家级、省部级、地厅级科研项目10余项。出版专著1部、教材3部，以第一作者或通讯作者身份发表论文40余篇，其中SCI、EI检索30余篇。指导学生获得国际级、国家级、省级数学建模竞赛、统计建模竞赛奖励20余项。
科研课题：
（1）2020.01-2023.12非平稳信号的重分形分析及其在高光谱数据处理中的应用研究，国家自然科学基金面上项目
（2）2020.01-2022.12非平稳信号的重分形分析及应用研究，湖南省自然科学基金项目
（3）2019.01-2020.12多重分形视角下的湖南省城市群空气质量指数序列统计特征研究，湖南省社会基金项目
（4）2016.01—2018.12 基于角果多重分形分析的油菜氮素营养诊断建模，国家自然科学基金青年项目
（5）2015.01—2016.12 基于角果图像多重分形特征的油菜营养诊断建模，湖南省科技厅计划项目
（6）2016.01—2018.12 基于多重分形理论的分时段电价时间序列统计特征研究，湖南省社会科学基金
（7）2016.01—2018.12 基于分形理论的真实世界统计自相似性建模，湖南农业大学人才项目
代表论文：
[21] F Wang, Q Fan, Coupling correlation detrended analysis for multiple nonstationary series, COMMUN NONLINEAR SCI. 2021, 94:105579 (Q1, IF = 4.115)
[20] Q Fan, F Wang*. Detrending-moving-average-based bivariate regression estimator. PHYSICAL REVIEW E, 2020, 102(1):012218. (Q1, IF = 2.366)
[19] F Wang*, W Zhao, S Jiang. Detecting asynchrony of two series using multiscale cross-trend sample entropy. Nonlinear Dynamics, 2020, 99:1451–1465. (Q1, IF = 4.867)
[18] F Wang, L Wang, Y Chen. A DFA-based bivariate regression model for estimating the dependence of PM2.5 among neighbouring cities. Scientific Reprots, 2018 8:7475. (Q1, IF = 3.998)
[17] F Wang, L Wang, Y Chen. Quantifying the range of cross-correlated fluctuations using a q–L dependent AHXA coefficient. Physica A, 2018, 494:454-464. (Q2, IF = 2.243)
[16] S Jiang, F Wang*, L Shen*, et al, Local detrended fluctuation analysis for spectral red-edge parameters extraction. Nonlinear Dynamics, 2018, 93(3):995-1008. (Q1, IF = 4.867)
[15] F Wang, L Wang, Y Chen. Lagged multi-affine height correlation analysis for exploring lagged correlations in complex systems. Chaos, 2018, 28(6):061102. (Q1, IF = 2.283)
[14] F Wang, Q Fan*, K Wang. Asymmetric multiscale multifractal detrended cross-correlation analysis for the 1999–2000 California electricity market. Nonlinear Dynamics, 2018, 91: 1527–1540. (Q1, IF = 4.867)
[13] F Wang, L Wang, Y Chen. Detecting PM2.5's Correlations between Neighboring Cities Using a Time-Lagged Cross-Correlation Coefficient. Scientific Reports, 2017, 7(10):1-42. (Q1, IF = 3.998)
[12] S Jiang, F Wang*, L Shen*, et al, Extracting sensitive spectrum bands of rapeseed using multiscale multifractal detrended fluctuation analysis. Journal of Applied Physics, 121, 104702 (2017) (Q2, IF = 2.068)
[11] F Wang, A novel coefficient for detecting and quantifying asymmetry of California electricity market based on asymmetric detrended cross-correlation analysis. Chaos, 2016, 26, 002606 (Q1, IF = 2.283)
[10] F Wang, Q Fan*, H. Eugene Stanley. Multiscale multifractal detrended-fluctuation analysis of two-dimensional surfaces. Physical Review E, 2016, 93(4): 042213. (Q1, IF = 2.366)
[9] F Wang, Z Yang and L Wang. Detecting and quantifying cross-correlations by analogous multifractal height cross-correlation analysis. Physica A, 444, 2016, 954–962. (Q2, IF = 2.243)
[8] Y Yu, F Wang* and L Liu. Magnetic Resonance Image Segmentation Using Multifractal Techniques. Applied Surface Science, 356, 2015, 266-272. (Q1, IF = 6.182)
[7] F Wang, D Liao, J Li et al. Two-Dimensional Multifractal Detrended Fluctuation Analysis for Plant Identification. Plant Methods, 2015, 11(1), 12. (Q1, IF = 3.510)
[6] F Wang, Z Li and J Li. Local Multifractal Detrended Fluctuation Analysis for Non-stationary Image's Texture Segmentation. Applied Surface Science, 2014, 322, 116-125 (Q1, IF = 6.182)
[5] F Wang, L Wang and R Zou. Multifractal Detrended Moving Average Analysis for Texture Representation. Chaos, 2014, 24(3) 033127 (Q1, IF = 2.283)
[4] F Wang, J Li, W Shi, et al. Leaf image segmentation method based on multifractal detrended fluctuation analysis. Journal of Applied Physics, 2013, 114(21) 214905 (Q2, IF = 2.068)
[3] F Wang, G Liao, J Li, et al. Multifractal detrended fluctuation analysis for clustering structures of electricity price periods. Physica A, 2013, 392(22), 5723-5734 (Q2, IF = 2.243)
[2] F Wang, G Liao, J Li, et al. Cross-correlation detection and analysis for California's electricity market based on analogous multifractal analysis. Chaos, 2013, 23(1) 013129 (Q1, IF = 2.283)
[1] F Wang, G Liao, X Zhou, et al. Multifractal detrended cross- correlation analysis for power markets. Nonlinear dynamics, 2013, 72(1-2): 353-363 (Q1, IF = 4.867)
研究生招生：招收农业信息工程（学术型）博士，计算机科学与技术（学术型）硕士，欢迎数学、统计学、计算机科学、数据科学与大数据技术等相关专业热爱数学建模、热爱编程、热爱数据处理的同学报考。
研究兴趣：复杂系统建模；重分形理论在图像、时间序列和复杂网络上的应用
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