Jun Wang

According to our database, Jun Wang authored at least 36 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Network Analysis of Depression Using Magnetoencephalogram Based on Polynomial Kernel Granger Causality.

Yijia Ma, Jing Qian, Qizhang Gu, Wanyi Yi, Wei Yan, Jianxuan Yuan, Jun Wang

Entropy, September, 2023

Schizophrenia MEG Network Analysis Based on Kernel Granger Causality.

Qiong Wang, Wenpo Yao, Dengxuan Bai, Wanyi Yi, Wei Yan, Jun Wang

Entropy, July, 2023

BP-Model-based convoy mining algorithms for moving objects.

Yiyang Liu, Hua Dai, Jiawei Li, Yu Chen, Geng Yang, Jun Wang

Expert Syst. Appl., 2023

Comparative analysis of time irreversibility and amplitude irreversibility based on joint permutation.

Wenpo Yao, Wenli Yao, Rongshuang Xu, Jun Wang

Commun. Nonlinear Sci. Numer. Simul., 2023

Recurrence network analysis of schizophrenia MEG under different stimulation states.

Dengxuan Bai, Wenpo Yao, Shuwang Wang, Wei Yan, Jun Wang

Biomed. Signal Process. Control., 2023

GBCdb: RNA expression landscapes and ncRNA-mRNA interactions in gallbladder carcinoma.

Li Guo, Yangyang Xiang, Yuyang Dou, Zibo Yin, Xinru Xu, Lihua Tang, Jiafeng Yu, Jun Wang, Tingming Liang

BMC Bioinform., 2023

2022

Multiscale Weighted Permutation Entropy Analysis of Schizophrenia Magnetoencephalograms.

Dengxuan Bai, Wenpo Yao, Shuwang Wang, Jun Wang

Entropy, 2022

SLOAD: a comprehensive database of cancer-specific synthetic lethal interactions for precision cancer therapy via multi-omics analysis.

Li Guo, Yuyang Dou, Daoliang Xia, Zibo Yin, Yangyang Xiang, Lulu Luo, Yuting Zhang, Jun Wang, Tingming Liang

Database J. Biol. Databases Curation, 2022

Research on Attentional EEG Based on Granger Causality of Polynomial Kernel.

Jun Wang

Proceedings of the 6th International Conference on Computer Science and Application Engineering, 2022

Research on Sleep EEG Signals Based on IOTA.

Jun Wang

Proceedings of the 6th International Conference on Computer Science and Application Engineering, 2022

2021

Time irreversibility and amplitude irreversibility measures for nonequilibrium processes.

Wenpo Yao, Jun Wang, Matjaz Perc, Wenli Yao, Jiafei Dai, Daqing Guo, Dezhong Yao

Commun. Nonlinear Sci. Numer. Simul., 2021

Multiscale multidimensional recurrence quantitative analysis for analysing MEG signals in patients with schizophrenia.

Dengxuan Bai, Wenpo Yao, Zhiwei Lv, Wei Yan, Jun Wang

Biomed. Signal Process. Control., 2021

Social Awareness-Based Collaboration Interferes With Physical Layer Secure Communication.

Teng Zhang, Cun Wei, Jun Wang, Lei Wang

Proceedings of the 13th International Conference on Wireless Communications and Signal Processing, 2021

Secure Energy Efficiency Resource Allocation for D2D Communication With Full-Duplex Radio.

Cun Wei, Teng Zhang, Jun Wang, Lei Wang, Jingwu Cui, Baoyu Zheng

Proceedings of the 13th International Conference on Wireless Communications and Signal Processing, 2021

Research on Multiscale Information Storage of MEG of Depression Based on ARFI Model.

Dayou Luo, Wei Yan, Jin Li, Fengzhen Hou, Jun Wang

Proceedings of the CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19, 2021

ECMA: An Efficient Convoy Mining Algorithm for Moving Objects.

Yiyang Liu, Hua Dai, Bohan Li, Jiawei Li, Geng Yang, Jun Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Analysis of Depression Magnetoencephalogram Based on Multiscale Mutual Mode Entropy.

Yan Huang, Jing Qian, Zhiwei Lv, Qiong Wang, Dengxuan Bai, Wei Yan, Jun Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2019

Gestational Diabetes Mellitus Prediction Based on Two Classification Algorithms.

Weiyang Zhong, Shanxi Jiang, Wei Wu, Danhong Peng, Tian Xu, Jun Wang, Gongdao Wang

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018

Analysis of α Wave in Normal and Epileptic EEG Signals Based on Symbol-Relative Entropy.

Wenyong Zhu, Jiafei Dai, Jin Li, Jun Wang, Fengzhen Hou

Proceedings of the 11th International Congress on Image and Signal Processing, 2018

Quantitying Nonlinear Dynamic Complexity of Epileptic EEG by Conditional Entropy Based on Different Entropy Measures.

Bingxin Zhu, Jiafei Dai, Jin Li, Jun Wang, Fengzhen Hou

Proceedings of the 11th International Congress on Image and Signal Processing, 2018

The Alpha Wave Transfer Entropy Analysis Based on Adaptive Template Method.

Kaili Zheng, Xin Sheri, Jiafei Dai, Jin Li, Jun Wang, Fengzhen Hou

Proceedings of the 11th International Congress on Image and Signal Processing, 2018

Analysis of Depression Magnetoencephalography Based on Modified Permutation Entropy.

Zizhen Yuan, Wei Yan, Jun Wang, Jin Li, Fengzhen Hou

Proceedings of the 11th International Congress on Image and Signal Processing, 2018

Internet of Things in Centralized Management of Medical Equipment.

Wenpo Yao, Min Wu, Jun Wang

Proceedings of the 11th International Congress on Image and Signal Processing, 2018

RobustICA, Kurtosis- and Negentropy-Based FastICA in Maternal-Fetal ECG Separation.

Wenpo Yao, Min Wu, Jun Wang

Proceedings of the 11th International Congress on Image and Signal Processing, 2018

Research of EEG Signal Based on Permutation Entropy and Limited Penetrable Visibility Graph.

Honghong Xu, Jiafei Dai, Jin Li, Jun Wang, Fengzhen Hou

Proceedings of the 11th International Congress on Image and Signal Processing, 2018

Reasearch on Pregnancy Hypertension Based on Data Mining.

Xinke Lan, Wei Wu, Danhong Peng, Tian Xu, Jun Wang, Gongdao Wang, Fengzhen Hou

Proceedings of the 11th International Congress on Image and Signal Processing, 2018

2017

Different bands of sleep EEG analysis based on the multiscale Jenson-Shannon Divergence.

Zhengxia Zhang, Jun Wang, Jiafei Dai, Jin Li, Fengzhen Hou

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Analysis of Magnetoencephalography based on symbolic transfer entropy.

Bihan Zhang, Chuchu Ding, Wei Yan, Li Guo, Jun Wang, Fengzhen Hou

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Multiscale mutual mode entropy in theta brain wave analysis for epilepsy.

Ning Ji, Jun Wang, Jiafei Dai, Jin Li, Fengzhen Hou

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Analysis of brain functional networks based on inner composition alignment.

Chuchu Ding, Jiafei Dai, Jun Wang, Danqin Xing, Yiyi He, Jiaqin Wang, Fengzhen Hou

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016

Electroencephalogram signal analysis based on the improved k-nearest neighbor network.

Xian Yu, Chengcheng Liu, Jun Wang, Jiafei Dai, Jin Li, Fengzhen Hou

Proceedings of the 9th International Congress on Image and Signal Processing, 2016

Detecting epileptic electroencephalogram by Recurrence Quantification Analysis.

Xiangtao Yan, Siyuan Feng, Jiafei Dai, Jun Wang

Proceedings of the 9th International Congress on Image and Signal Processing, 2016

Predicting enzyme class with Rough Sets.

Lihua Tang, Jun Wang

Proceedings of the 9th International Congress on Image and Signal Processing, 2016

Analyzing occupational stress based on inner composition alignment algorithm.

Zhen Shi, Shitong Wang, Jun Wang, Jiafei Dai, Fengzhen Hou, Jin Li

Proceedings of the 9th International Congress on Image and Signal Processing, 2016

Visibility graph analysis on EEG signal.

Hongda Ji, Tian Xu, Wei Wu, Jun Wang

Proceedings of the 9th International Congress on Image and Signal Processing, 2016

Analysis of multiscale sign series entropy of the young and middle-aged electroencephalogram signals.

Fei Du, Shitong Wang, Jun Wang, Jiafei Dai, Fengzhen Hou, Jin Li

Proceedings of the 9th International Congress on Image and Signal Processing, 2016