EEG correlates of ten positive emotions X Hu, J Yu, M Song, C Yu, F Wang, P Sun, D Wang, D Zhang Frontiers in human neuroscience 11, 26, 2017 | 160 | 2017 |
fNIRS evidence for recognizably different positive emotions X Hu, C Zhuang, F Wang, YJ Liu, CH Im, D Zhang Frontiers in human neuroscience 13, 120, 2019 | 135 | 2019 |
Ten challenges for EEG-based affective computing X Hu, J Chen, F Wang, D Zhang Brain Science Advances 5 (1), 1-20, 2019 | 112 | 2019 |
Contrastive learning of subject-invariant EEG representations for cross-subject emotion recognition X Shen, X Liu, X Hu, D Zhang, S Song IEEE Transactions on Affective Computing 14 (3), 2496-2511, 2022 | 105 | 2022 |
Inter-brain EEG feature extraction and analysis for continuous implicit emotion tagging during video watching Y Ding, X Hu, Z Xia, YJ Liu, D Zhang IEEE Transactions on Affective Computing 12 (1), 92-102, 2018 | 54 | 2018 |
What makes a champion: The behavioral and neural correlates of expertise in multiplayer online battle arena games Y Ding, X Hu, J Li, J Ye, F Wang, D Zhang International Journal of Human–Computer Interaction 34 (8), 682-694, 2018 | 52 | 2018 |
Similar brains blend emotion in similar ways: Neural representations of individual difference in emotion profiles X Hu, F Wang, D Zhang Neuroimage 247, 118819, 2022 | 36 | 2022 |
EEG responses to emotional videos can quantitatively predict big-five personality traits W Li, X Hu, X Long, L Tang, J Chen, F Wang, D Zhang Neurocomputing 415, 368-381, 2020 | 35 | 2020 |
A dataset of daily ambulatory psychological and physiological recording for emotion research X Shui, M Zhang, Z Li, X Hu, F Wang, D Zhang Scientific data 8 (1), 161, 2021 | 24 | 2021 |
Exploring EEG microstates for affective computing: decoding valence and arousal experiences during video watching* X Shen, X Hu, S Liu, S Song, D Zhang 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 23 | 2020 |
Quantitative personality predictions from a brief EEG recording W Li, C Wu, X Hu, J Chen, S Fu, F Wang, D Zhang IEEE Transactions on Affective Computing 13 (3), 1514-1527, 2020 | 22 | 2020 |
The EEG microstate representation of discrete emotions J Liu, X Hu, X Shen, Z Lv, S Song, D Zhang International Journal of Psychophysiology 186, 33-41, 2023 | 15 | 2023 |
A large finer-grained affective computing EEG dataset J Chen, X Wang, C Huang, X Hu, X Shen, D Zhang Scientific Data 10 (1), 740, 2023 | 8 | 2023 |
Personality in daily life: Multi-situational physiological signals reflect big-five personality traits X Shui, Y Chen, X Hu, F Wang, D Zhang IEEE Journal of Biomedical and Health Informatics 27 (6), 2853-2863, 2023 | 7 | 2023 |
Predicting moral elevation conveyed in Danmaku comments using EEGs C Bao, X Hu, D Zhang, Z Lv, J Chen Cyborg and Bionic Systems 4, 0028, 2023 | 4 | 2023 |
Human Emotion Knowledge Representation Emerges in Large Language Model and Supports Discrete Emotion Inference M Li, Y Su, HY Huang, J Cheng, X Hu, X Zhang, H Wang, Y Qin, X Wang, ... arXiv preprint arXiv:2302.09582, 2023 | 3 | 2023 |
From lab to life: Evaluating the reliability and validity of psychophysiological data from wearable devices in laboratory and ambulatory settings X Hu, TR Sgherza, JB Nothrup, DM Fresco, K Naragon-Gainey, ... Behavior Research Methods, 1-20, 2024 | 1 | 2024 |
Language-Specific Representation of Emotion-Concept Knowledge Causally Supports Emotion Inference M Li, Y Su, HY Huang, J Cheng, X Hu, X Zhang, H Wang, Y Qin, X Wang, ... arXiv preprint arXiv:2302.09582, 2023 | 1 | 2023 |
Electrophysiological representations of multivariate human emotion experience J Liu, X Hu, X Shen, S Song, D Zhang Cognition and Emotion 38 (3), 378-388, 2024 | | 2024 |