| Maximizing positive influence spread in online social networks via fluid dynamics F Wang, W Jiang, X Li, G Wang Future Generation Computer Systems 86, 1491-1502, 2018 | 47 | 2018 |
| Maximizing Positive Influence in Competitive Social Networks: A Trust-based Solution F Wang, J She, Y Ohyama, W Jiang, G Min, G Wang, M Wu Information Sciences 546 (6), 559-572, 2020 | 36 | 2020 |
| Disturbance rejection for Stewart platform based on integration of equivalent-input-disturbance and sliding-mode control methods Y Zhou, J She, F Wang, M Iwasaki IEEE/ASME Transactions on Mechatronics 28 (4), 2364-2374, 2023 | 20 | 2023 |
| Temporal topic-based multi-dimensional social influence evaluation in online social networks F Wang, J Li, W Jiang, G Wang Wireless Personal Communications 95, 2143-2171, 2017 | 18 | 2017 |
| Maximizing the spread of positive influence under LT-MLA model F Wang, G Wang, D Xie Advances in Services Computing: 10th Asia-Pacific Services Computing …, 2016 | 15 | 2016 |
| Disturbance Rejection and Control System Design Using -Inverse-Based Equivalent-Input-Disturbance Approach Q Mei, J She, F Wang, Y Nakanishi, H Hashimoto, D Chugo IEEE Transactions on Industrial Electronics 70 (2), 1666-1675, 2022 | 12 | 2022 |
| Influence maximization by leveraging the crowdsensing data in information diffusion network F Wang, W Jiang, G Wang, S Guo Journal of Network and Computer Applications 136, 11-21, 2019 | 9 | 2019 |
| Deep-learning-based identification of influential spreaders in online social networks F Wang, J She, Y Ohyama, M Wu IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society …, 2019 | 8 | 2019 |
| Disturbance rejection and control system design based on an improved equivalent-input-disturbance approach Q Mei, J She, F Wang, Y Nakanishi IEEE Transactions on Industrial Electronics 70 (3), 2876-2886, 2022 | 7 | 2022 |
| Performance enhancement for an equivalent-input-disturbance-based control system using a sliding-mode controller Q Mei, J She, F Wang, M Wu, QG Wang, Y Nakanishi IEEE/ASME Transactions on Mechatronics 28 (3), 1456-1465, 2022 | 5 | 2022 |
| Further result on reducing disturbance-compensation error of equivalent-input-disturbance approach Z Wang, J She, F Wang, J Zhao, D Sato IEEE/ASME Transactions on Mechatronics, 2023 | 4 | 2023 |
| Denoising method for surface electromyography signals combining CEEMDAN and interval total variation X Zong, F Wang, J She, J Zhao Circuits, Systems, and Signal Processing 41 (11), 6493-6512, 2022 | 4 | 2022 |
| Exploring user topic influence for group recommendation on learning resources F Wang, W Jiang, S Chen, D Xie, G Wang 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017 | 4 | 2017 |
| Experimental design of lower-limb movement recognition based on support vector machine W Ge, J Zhao, F Wang, C Xu, Z Yang, J She 2022 41st Chinese control conference (CCC), 6493-6497, 2022 | 3 | 2022 |
| Dual-task network Embeddings for influence prediction in social internet of things F Wang, J She, G Wang, Y Ohyama, M Wu IEEE Internet of Things Journal 10 (8), 6586-6597, 2022 | 3 | 2022 |
| Patient classification based on sEMG signals using extreme gradient boosting algorithm J Zhao, J She, D Wang, F Wang The 7th Int. Workshop on Advanced Computational Intelligence and Intelligent …, 2021 | 3 | 2021 |
| Asymmetric barrier Lyapunov function based practical fixed-time control of vertical take-off/vertical landing reusable launch vehicles with partial state constraints X Ju, F Wang, C Wei, L Zhang IFAC-PapersOnLine 53 (2), 14845-14850, 2020 | 3 | 2020 |
| Extreme gradient boosting for surface electromyography classification on time-domain features J Zhao, J She, D Wang, F Wang Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2022 | 2 | 2022 |
| Learning multiple network embeddings for social influence prediction F Wang, J She, Y Ohyama, M Wu IFAC-PapersOnLine 53 (2), 2868-2873, 2020 | 2 | 2020 |
| Effective Throughput Optimization of SAG Milling Process Based on BPNN and Genetic Algorithm Z Liao, C Xu, W Chen, Q Chen, F Wang, J She 2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems …, 2023 | 1 | 2023 |
