| 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 | 81 | 2017 |
| 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 | 80 | 2016 |
| The ivory tower lost: How college students respond differently than the general public to the covid-19 pandemic V Duong, J Luo, P Pham, T Yang, Y Wang 2020 IEEE/ACM International Conference on Advances in Social Networks …, 2020 | 70 | 2020 |
| 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 | 66 | 2016 |
| 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 | 55 | 2020 |
| Fine-grained analysis of the use of neutral and controversial terms for COVID-19 on social media L Chen, L Hanjia, T Yang, Y Wang, J Luo International Conference on Social Computing, Behavioral-Cultural Modeling …, 2021 | 42* | 2021 |
| The Political Economy of Joining the AIIB Y Wang The Chinese Journal of International Politics 11 (2), 105-130, 2018 | 31 | 2018 |
| 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 | 30 | 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 | 29 | 2016 |
| The influence of COVID-19 on well-being X Zhang, Y Wang, H Lyu, Y Zhang, Y Liu, J Luo PsyArXiv, 2020 | 28 | 2020 |
| Monitoring depression trend on Twitter during the COVID-19 pandemic Y Zhang, H Lyu, Y Liu, X Zhang, Y Wang, J Luo arXiv preprint arXiv:2007.00228, 2020 | 26 | 2020 |
| 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 | 26 | 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 | 25 | 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 | 21 | 2016 |
| How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers? S Longpre, Y Wang, C DuBois EMNLP Findings, 2020 | 18 | 2020 |
| Chinese Power and the State-Owned Enterprise RW Stone, Y Wang, S Yu International Organization, 2022 | 17* | 2022 |
| 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 | 15 | 2017 |
| 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 | 14 | 2017 |
| 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 | 13 | 2016 |
| Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study Y Zhang, H Lyu, Y Liu, X Zhang, Y Wang, J Luo JMIR Infodemiology, 2021 | 12 | 2021 |
Jiebo LuoProfessor of Computer Science, University of RochesterVerified email at cs.rochester.edu
