| Multichannel convolutional neural network for biological relation extraction C Quan, L Hua, X Sun, W Bai BioMed research international 2016, 2016 | 176 | 2016 |
| A blog emotion corpus for emotional expression analysis in Chinese C Quan, F Ren Computer Speech & Language 24 (4), 726-749, 2010 | 176 | 2010 |
| Unsupervised product feature extraction for feature-oriented opinion determination C Quan, F Ren Information Sciences 272, 16-28, 2014 | 160 | 2014 |
| Construction of a blog emotion corpus for Chinese emotional expression analysis C Quan, F Ren Proceedings of the 2009 conference on empirical methods in natural language …, 2009 | 156 | 2009 |
| A deep learning based method for Parkinson’s disease detection using dynamic features of speech C Quan, K Ren, Z Luo IEEE Access 9, 10239-10252, 2021 | 142 | 2021 |
| The role of pre-processing in twitter sentiment analysis Y Bao, C Quan, L Wang, F Ren Intelligent Computing Methodologies: 10th International Conference, ICIC …, 2014 | 134 | 2014 |
| An unsupervised text mining method for relation extraction from biomedical literature C Quan, M Wang, F Ren PloS one 9 (7), e102039, 2014 | 123 | 2014 |
| Examining accumulated emotional traits in suicide blogs with an emotion topic model F Ren, X Kang, C Quan IEEE journal of biomedical and health informatics 20 (5), 1384-1396, 2015 | 101 | 2015 |
| Linguistic-based emotion analysis and recognition for measuring consumer satisfaction: an application of affective computing F Ren, C Quan Information Technology and Management 13, 321-332, 2012 | 98 | 2012 |
| Sentence emotion analysis and recognition based on emotion words using Ren-CECps C Quan International Journal of Advanced Intelligence 2 (1), 105, 2010 | 98 | 2010 |
| Study on CNN in the recognition of emotion in audio and images B Zhang, C Quan, F Ren 2016 IEEE/ACIS 15th International Conference on Computer and Information …, 2016 | 80 | 2016 |
| End-to-end deep learning approach for Parkinson’s disease detection from speech signals C Quan, K Ren, Z Luo, Z Chen, Y Ling Biocybernetics and Biomedical Engineering 42 (2), 556-574, 2022 | 71 | 2022 |
| Facial expression recognition based on Gabor Wavelet transform and Histogram of Oriented Gradients X Xu, C Quan, F Ren 2015 IEEE International Conference on Mechatronics and Automation (ICMA …, 2015 | 48 | 2015 |
| Weighted high-order hidden Markov models for compound emotions recognition in text C Quan, F Ren Information Sciences 329, 581-596, 2016 | 44 | 2016 |
| An exploration of features for recognizing word emotion C Quan, F Ren Proceedings of the 23rd International Conference on Computational …, 2010 | 42 | 2010 |
| Alleviating adversarial attacks via convolutional autoencoder W Bai, C Quan, Z Luo 2017 18th IEEE/ACIS International Conference on Software Engineering …, 2017 | 26 | 2017 |
| Reduce the dimensions of emotional features by principal component analysis for speech emotion recognition C Quan, D Wan, B Zhang, F Ren Proceedings of the 2013 IEEE/SICE International Symposium on System …, 2013 | 25 | 2013 |
| RETRACTED ARTICLE: Detecting anomalous emotion through big data from social networks based on a deep learning method X Sun, C Zhang, S Ding, C Quan Multimedia Tools and Applications 79, 9687-9687, 2020 | 22 | 2020 |
| Performance evaluation of RNN with hyperbolic secant in gate structure through application of Parkinson’s disease detection T Fujita, Z Luo, C Quan, K Mori, S Cao Applied Sciences 11 (10), 4361, 2021 | 18 | 2021 |
| Exploiting salient semantic analysis for information retrieval J Luo, B Meng, C Quan, X Tu Enterprise Information Systems 10 (9), 959-969, 2016 | 18 | 2016 |