| Deciphering the 2016 US Presidential campaign in the Twitter sphere: A comparison of the Trumpists and Clintonists Y Wang, Y Li, J Luo The 10th International AAAI Conference on Web and Social Media, 723-726, 2016 | 65 | 2016 |
| Catching Fire via" Likes": Inferring Topic Preferences of Trump Followers on Twitter Y Wang, J Luo, R Niemi, Y Li, T Hu The 10th International AAAI Conference on Web and Social Media, 719-722, 2016 | 49 | 2016 |
| Detection and Analysis of 2016 US Presidential Election Related Rumors on Twitter Z Jin, J Cao, H Guo, Y Zhang, Y Wang, J Luo SBP-BRiMS 2017, 2017 | 46 | 2017 |
| To Follow or Not to Follow: Analyzing the Growth Patterns of the Trumpists on Twitter Y Wang, J Luo, R Niemi, Y Li News and Public Opinion: Technical Report WS-16-18 (ICWSM 16), 2016 | 26 | 2016 |
| How Polarized Have We Become? A Multimodal Classification of Trump Followers and Clinton Followers Y Wang, Y Feng, Z Hong, R Berger, J Luo International Conference on Social Informatics, 440-456, 2017 | 20 | 2017 |
| Do they all look the same? deciphering chinese, japanese and koreans by fine-grained deep learning Y Wang, H Liao, Y Feng, X Xu, J Luo IEEE International Conference on Multimedia Information Processing and Retrieval, 2018 | 17 | 2018 |
| Voting with Feet: Who are Leaving Hillary Clinton and Donald Trump? Y Wang, Y Feng, X Zhang, J Luo 2016 IEEE International Symposium on Multimedia (2016), 71-76, 2016 | 17 | 2016 |
| In the Eyes of the Beholder: Sentiment and Topic Analyses on Social Media Use of Neutral and Controversial Terms for COVID-19 L Chen, H Lyu, T Yang, Y Wang, J Luo arXiv:2004.10225v1, 2020 | 14 | 2020 |
| The Political Economy of Joining the AIIB Y Wang The Chinese Journal of International Politics 11 (2), 105–130, 2018 | 14 | 2018 |
| Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19 L Hanjia, L Chen, Y Wang, J Luo IEEE Transactions on Big Data, 2020 | 12 | 2020 |
| Rumor detection on Twitter pertaining to the 2016 US presidential election Z Jin, J Cao, H Guo, Y Zhang, Y Wang, J Luo arXiv preprint arXiv:1701.06250, 2017 | 12 | 2017 |
| The Ivory Tower Lost: How College Students Respond Differently than the General Public to the COVID-19 Pandemic V Duong, P Pham, T Yang, Y Wang, J Luo arXiv:2004.09968v1, 2020 | 11 | 2020 |
| Pricing the Woman Card: Gender Politics between Hillary Clinton and Donald Trump Y Wang, Y Feng, X Zhang, J Luo 2016 IEEE International Conference on Big Data, 2541-2544, 2016 | 11 | 2016 |
| When Follow is Just One Click Away: Understanding Twitter Follow Behavior in the 2016 U.S. Presidential Election Y Wang, X Zhang, J Luo Social Informatics, 2017 | 10 | 2017 |
| Leaders’ Behaviors Matter: The role of delegation in promoting employees’ feedback-seeking behavior YW Xiyang Zhang, Jing Qian, Bin Wang, Zhuyun Jin, Jiachen Wang Frontiers in Psychology, 2017 | 9 | 2017 |
| Gender Politics in the 2016 US Presidential Election: A Computer Vision Approach Y Wang, X Zhang, J Luo SBP-BRiMS 2017, 2017 | 9 | 2017 |
| The Rise of China's Multinationals R Stone, Y Wang, S Yu Annual Meeting of International Political Economy Society, 2016 | 6 | 2016 |
| The Influence of COVID-19 on Well-being X Zhang, Y Wang, H Lyu, Y Zhang, Y Liu, J Luo PsyArXiv, 2020 | 4 | 2020 |
| Inferring Follower Preferences in the 2016 US Presidential Primaries Using Sparse Learning Y Wang, Y Feng, X Zhang, J Luo SBP-BRiMS 2017, 2017 | 4* | 2017 |
| America tweets china: A fine-grained analysis of the state and individual characteristics regarding attitudes towards china Y Wang, J Yuan, J Luo 2015 IEEE International Conference on Big Data (Big Data), 936-943, 2015 | 4 | 2015 |
Yang FengUniversity of RochesterVerified email at rochester.edu
