Feng Wang - RankMe

31 papers C 2Journal 16Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Spatial Incremental Model-Predictive Repetitive Control for Rotational Systems. J. Adv. Comput. Intell. Intell. Informatics Yujian Zhou, Jinhua She, Shijie Guo, Feng Wang, Seiichi Kawata, Makoto Iwasaki
2025	J	`jnl`	Two-Degree-of-Freedom Spatial Robust Preview Repetitive Control for Rotational Systems. IEEE Trans. Ind. Electron. Yujian Zhou, Jinhua She, Haruki Shimizu, Shijie Guo, Feng Wang, Yong He, Seiichi Kawata, Makoto Iwasaki
2024	J	`jnl`	Disturbance Rejection for Nonlinear Systems Using Nonlinear-State-Observer-Based Equivalent-Input-Disturbance Approach. IEEE Trans. Ind. Informatics Hantao Wang, Jinhua She, Feng Wang
2024	—	`conf`	Disturbance Rejection in Lower-Limb Rehabilitation Robot with Parameter Uncertainties. IWIS He Wang, Jinhua She, Feng Wang, Juan Zhao, Seiichi Kawata
2024	J	`jnl`	Explainable deep learning for sEMG-based similar gesture recognition: A Shapley-value-based solution. Inf. Sci. Feng Wang, Xiaohu Ao, Min Wu, Seiichi Kawata, Jinhua She
2024	—	`conf`	Improved BP Neural Network Utilizing Bayesian optimization Algorithm for Iron-making Process Control. ISIE Shaoran Wang, Jinhua She, Seiichi Kawata, Feng Wang, Juan Zhao, Qifu Chen, Zhenhong Liao
2024	—	`conf`	Modeling the Kinematics and Dynamics of the Pedaling Lower-Limb Rehabilitation Robot. IWIS Hao Zhang, Juan Zhao, Feng Wang, Seiichi Kawata, Jinhua She
2024	J	`jnl`	Physical, mechanical characterization, and artificial neural network modeling of biodegradable composite scaffold for biomedical applications. Eng. Appl. Artif. Intell. Feng Wang, D. T. Semirumi, Anqing He, Zhenghui Pan, A. Alizadeh
2024	—	`conf`	The Analysis of Muscle-Synergy Similarity between Walking and Pedaling Based on Variational Mode Decomposition and Non-Negative Matrix Factorization. ICE/ITMC Wangyang Ge, Jinhua She, Shijie Guo, Feng Wang, Juan Zhao, Seiichi Kawata
2023	—	`conf`	A Model-Predictive-Enabled Equivalent-Input-Disturbance Approach for Disturbance Rejection. ICPS Yujian Zhou, Jinhua She, Feng Wang, Makoto Iwasaki
2023	J	`jnl`	Disturbance Rejection and Control System Design Based on an Improved Equivalent-Input-Disturbance Approach. IEEE Trans. Ind. Electron. Qicheng Mei, Jinhua She, Feng Wang, Yosuke Nakanishi
2023	J	`jnl`	Disturbance Rejection and Control System Design Using $\lbrace 1\rbrace$-Inverse-Based Equivalent-Input-Disturbance Approach. IEEE Trans. Ind. Electron. Qicheng Mei, Jinhua She, Feng Wang, Yosuke Nakanishi, Hiroshi Hashimoto, Daisuke Chugo
2023	—	`conf`	Disturbance Rejection for Pedaling Rehabilitation Robot Based on Integration of Equivalent-Input-Disturbance and Repetitive Control Methods. ISIE Yujian Zhou, Jinhua She, Feng Wang, Makoto Iwasaki
2023	J	`jnl`	Dual-Task Network Embeddings for Influence Prediction in Social Internet of Things. IEEE Internet Things J. Feng Wang, Jinhua She, Guojun Wang, Yasuhiro Ohyama, Min Wu
2023	—	`conf`	Effective Throughput Optimization of SAG Milling Process Based on BPNN and Genetic Algorithm. ICPS Zhenhong Liao, Ce Xu, Wen Chen, Qifu Chen, Feng Wang, Jinhua She
2023	—	`conf`	Interpretable analysis of feature importance and implicit correlation based on sEMG grayscale. images. ICPS Xiaohu Ao, Feng Wang, Juan Zhao, Jinhua She
2023	J	`jnl`	Rehabilitation Evaluation System for Lower-Limb Rehabilitation Robot. J. Adv. Comput. Intell. Intell. Informatics Li Jiang, Juan Zhao, Feng Wang, Yujian Zhou, Wangyang Ge, Jinhua She
2022	J	`jnl`	A Modified Disturbance-Rejection Approach in Networked Control Systems Based on Adaptive Model Predictive Control and Equivalent-Input-Disturbance. J. Adv. Comput. Intell. Intell. Informatics Meiliu Li, Jinhua She, Zhen-Tao Liu, Wangyong He, Feng Wang, Juan Zhao, Yasuhiro Ohyama
2022	J	`jnl`	Denoising Method for Surface Electromyography Signals Combining CEEMDAN and Interval Total Variation. Circuits Syst. Signal Process. Xiaofeng Zong, Feng Wang, Jinhua She, Juan Zhao
2022	J	`jnl`	Extreme Gradient Boosting for Surface Electromyography Classification on Time-Domain Features. J. Adv. Comput. Intell. Intell. Informatics Juan Zhao, Jinhua She, Dianhong Wang, Feng Wang
2021	J	`jnl`	Maximizing positive influence in competitive social networks: A trust-based solution. Inf. Sci. Feng Wang, Jinhua She, Yasuhiro Ohyama, Wenjun Jiang, Geyong Min, Guojun Wang, Min Wu
2020	—	`conf`	Fluidspread: A New Method of Maximizing Positive Influence in Online Social Networks via Fluid Dynamics. ICCA Feng Wang, Jinhua She, Yasuhiro Ohyama, Min Wu
2019	C	`conf`	Deep-Learning-based Identification of Influential Spreaders in Online Social Networks. IECON Feng Wang, Jinhua She, Yasuhiro Ohyama, Min Wu
2019	—	`conf`	Image Super-Resolution Reconstruction Based on Multi-scale Convolutional Neural Network. ICGEC Jianqiao Song, Feng Wang
2019	J	`jnl`	Influence maximization by leveraging the crowdsensing data in information diffusion network. J. Netw. Comput. Appl. Feng Wang, Wenjun Jiang, Guojun Wang, Song Guo
2018	—	`conf`	Low-Dimensional Vectors Learning for Influence Maximization. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Feng Wang, Wenjun Jiang, Guojun Wang
2018	J	`jnl`	Maximizing positive influence spread in online social networks via fluid dynamics. Future Gener. Comput. Syst. Feng Wang, Wenjun Jiang, Xiaolin Li, Guojun Wang
2017	—	`conf`	Data-Driven Influence Learning in Social Networks. ISPA/IUCC Feng Wang, Wenjun Jiang, Guojun Wang, Dongqing Xie
2017	—	`conf`	Exploring user topic influence for group recommendation on learning resources. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Feng Wang, Wenjun Jiang, Shuhong Chen, Dongqing Xie, Guojun Wang
2017	J	`jnl`	Temporal Topic-Based Multi-Dimensional Social Influence Evaluation in Online Social Networks. Wirel. Pers. Commun. Feng Wang, Jianbin Li, Wenjun Jiang, Guojun Wang
2016	C	`conf`	Maximizing the Spread of Positive Influence Under LT-MLA Model. APSCC Feng Wang, Guojun Wang, Dongqing Xie