| MoodLens: An Emoticon-Based Sentiment Analysis System for Chinese Tweets J Zhao, L Dong, J Wu, K Xu | 305 | 2012 |
| Anger is more influential than joy: Sentiment correlation in Weibo R Fan, J Zhao, Y Chen, K Xu PloS one 9 (10), e110184, 2014 | 201 | 2014 |
| Weak ties: Subtle role of information diffusion in online social networks J Zhao, J Wu, K Xu Physical Review E 82 (1), 016105, 2010 | 156 | 2010 |
| Word network topic model: a simple but general solution for short and imbalanced texts Y Zuo, J Zhao, K Xu Knowledge and Information Systems 48 (2), 379-398, 2016 | 143 | 2016 |
| Unraveling the origin of exponential law in intra-urban human mobility X Liang, J Zhao, L Dong, K Xu Scientific reports 3 (1), 1-7, 2013 | 133 | 2013 |
| Who creates trends in online social media: The crowd or opinion leaders? L Zhang, J Zhao, K Xu Journal of Computer-Mediated Communication 21 (1), 1-16, 2016 | 116 | 2016 |
| Information propagation in online social networks: a tie-strength perspective J Zhao, J Wu, X Feng, H Xiong, K Xu Knowledge and Information Systems 32 (3), 589-608, 2012 | 88 | 2012 |
| Link prediction in complex networks: a clustering perspective X Feng, JC Zhao, K Xu The European Physical Journal B 85 (1), 1-9, 2012 | 85 | 2012 |
| Spatio-temporal propagation of cascading overload failures in spatially embedded networks J Zhao, D Li, H Sanhedrai, R Cohen, S Havlin Nature communications 7 (1), 1-6, 2016 | 72 | 2016 |
| Enhancing the robustness of scale-free networks J Zhao, K Xu Journal of Physics A: Mathematical and Theoretical 42 (19), 195003, 2009 | 42 | 2009 |
| From interest to function: Location estimation in social media Y Chen, J Zhao, X Hu, X Zhang, Z Li, TS Chua Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 2013 | 40 | 2013 |
| Fake news propagates differently from real news even at early stages of spreading Z Zhao, J Zhao, Y Sano, O Levy, H Takayasu, M Takayasu, D Li, J Wu, ... EPJ Data Science 9 (1), 7, 2020 | 37 | 2020 |
| An agent-based model for emotion contagion and competition in online social media R Fan, K Xu, J Zhao Physica a: statistical mechanics and its applications 495, 245-259, 2018 | 25 | 2018 |
| Can online emotions predict the stock market in China? Z Zhou, J Zhao, K Xu International conference on web information systems engineering, 328-342, 2016 | 22 | 2016 |
| Aggregating multiple types of complex data in stock market prediction: A model-independent framework H Wang, S Lu, J Zhao Knowledge-Based Systems 164, 193-204, 2019 | 19 | 2019 |
| Weibo sentiments and stock return: A time-frequency view Y Xu, Z Liu, J Zhao, C Su PloS one 12 (7), e0180723, 2017 | 18 | 2017 |
| Being rational or aggressive? A revisit to Dunbar׳ s number in online social networks J Zhao, J Wu, G Liu, D Tao, K Xu, C Liu Neurocomputing 142, 343-353, 2014 | 18* | 2014 |
| Emoticon-Based Ambivalent Expression: A Hidden Indicator for Unusual Behaviors in Weibo Y Hu, J Zhao, J Wu PLOS ONE 11 (1), e0147079, 2016 | 17 | 2016 |
| Tales of Emotion and Stock in China: Volatility, Causality and Prediction Z Zhou, K Xu, J Zhao arXiv preprint arXiv:1705.00294, 2017 | 15 | 2017 |
| Herding boosts too-connected-to-fail risk in stock market of China S Lu, J Zhao, H Wang, R Ren Physica A: Statistical Mechanics and its Applications 505, 945-964, 2018 | 13 | 2018 |
Li DongMicrosoft ResearchEmail verificata su microsoft.com
