| Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review J Zhang, Z Yin, P Chen, S Nichele Information fusion 59, 103-126, 2020 | 957 | 2020 |
| Recognition of emotions using multimodal physiological signals and an ensemble deep learning model Z Yin, M Zhao, Y Wang, J Yang, J Zhang Computer methods and programs in biomedicine 140, 93-110, 2017 | 506 | 2017 |
| Cross-session classification of mental workload levels using EEG and an adaptive deep learning model Z Yin, J Zhang Biomedical Signal Processing and Control 33, 30-47, 2017 | 202 | 2017 |
| Cross-subject EEG feature selection for emotion recognition using transfer recursive feature elimination Z Yin, Y Wang, L Liu, W Zhang, J Zhang Frontiers in neurorobotics 11, 19, 2017 | 183 | 2017 |
| Recognition of mental workload levels under complex human–machine collaboration by using physiological features and adaptive support vector machines J Zhang, Z Yin, R Wang IEEE Transactions on Human-Machine Systems 45 (2), 200-214, 2015 | 119 | 2015 |
| Assessing cognitive mental workload via EEG signals and an ensemble deep learning classifier based on denoising autoencoders S Yang, Z Yin, Y Wang, W Zhang, Y Wang, J Zhang Computers in biology and medicine 109, 159-170, 2019 | 91 | 2019 |
| Operator functional state classification using least-square support vector machine based recursive feature elimination technique Z Yin, J Zhang Computer methods and programs in biomedicine 113 (1), 101-115, 2014 | 79 | 2014 |
| Identification of temporal variations in mental workload using locally-linear-embedding-based EEG feature reduction and support-vector-machine-based clustering and … Z Yin, J Zhang Computer methods and programs in biomedicine 115 (3), 119-134, 2014 | 77 | 2014 |
| P300 Chinese input system based on Bayesian LDA J Jin, BZ Allison, C Brunner, B Wang, X Wang, J Zhang, C Neuper, ... Biomedizinische Technik/Biomedical Engineering 55 (1), 5-18, 2010 | 77 | 2010 |
| Assessment of human operator functional state using a novel differential evolution optimization based adaptive fuzzy model R Wang, J Zhang, Y Zhang, X Wang Biomedical Signal Processing and Control 7 (5), 490-498, 2012 | 65 | 2012 |
| Cross-subject recognition of operator functional states via EEG and switching deep belief networks with adaptive weights Z Yin, J Zhang Neurocomputing 260, 349-366, 2017 | 61 | 2017 |
| Percutaneous biphasic electrical stimulation for treatment of obstructive sleep apnea syndrome L Hu, X Xu, Y Gong, X Fan, L Wang, J Zhang, Y Zeng IEEE Transactions on Biomedical Engineering 55 (1), 181-187, 2008 | 61 | 2008 |
| Pattern classification of instantaneous cognitive task-load through GMM clustering, laplacian eigenmap, and ensemble SVMs J Zhang, Z Yin, R Wang IEEE/ACM transactions on computational biology and bioinformatics 14 (4 …, 2017 | 57 | 2017 |
| Task-generic mental fatigue recognition based on neurophysiological signals and dynamical deep extreme learning machine Z Yin, J Zhang Neurocomputing 283, 266-281, 2018 | 53 | 2018 |
| Hierarchical multimodal-fusion of physiological signals for emotion recognition with scenario adaption and contrastive alignment J Tang, Z Ma, K Gan, J Zhang, Z Yin Information Fusion 103, 2024 | 52 | 2024 |
| Physiological-signal-based mental workload estimation via transfer dynamical autoencoders in a deep learning framework Z Yin, M Zhao, W Zhang, Y Wang, Y Wang, J Zhang Neurocomputing 347, 212-229, 2019 | 52 | 2019 |
| Predicting pregnancy-induced hypertension with dynamic hemodynamics J Song, S Zhang, Y Qiao, Z Luo, J Zhang, Y Zeng, L Wang European Journal of Obstetrics & Gynecology and Reproductive Biology 117 (2 …, 2004 | 49 | 2004 |
| Intelligent identification of multi-level nanopore signatures for accurate detection of cancer biomarkers JH Zhang, XL Liu, ZL Hu, YL Ying, YT Long Chemical communications 53 (73), 10176-10179, 2017 | 48 | 2017 |
| Prediction and correlation analysis of ventilation performance in a residential building using artificial neural network models based on data-driven analysis MK Kim, B Cremers, J Liu, J Zhang, J Wang Sustainable Cities and Society (SCS) 83, 2022 | 45 | 2022 |
| High-bandwidth nanopore data analysis by using a modified hidden Markov model J Zhang, X Liu, YL Ying, Z Gu, FN Meng, YT Long Nanoscale 9 (10), 3458-3465, 2017 | 45 | 2017 |
Stefano NicheleProfessor, Østfold University CollegeVerified email at hiof.no
