| 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 | 122 | 2017 |
| 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 | 114 | 2020 |
| 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 | 101 | 2021 |
| 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 | 89 | 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 | 80 | 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 | 75 | 2016 |
| How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers? S Longpre, Y Wang, C DuBois EMNLP Findings, 2020 | 72 | 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 | 58 | 2017 |
| Chinese power and the state-owned enterprise RW Stone, Y Wang, S Yu International Organization 76 (1), 229-250, 2022 | 49 | 2022 |
| 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 preprint arXiv:2004.10225, 1-8, 2020 | 40 | 2020 |
| The Political Economy of Joining the AIIB Y Wang The Chinese Journal of International Politics 11 (2), 105-130, 2018 | 40 | 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 | 40 | 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 | 35 | 2018 |
| The Influence of COVID-19 on the Well-Being of People: Big Data Methods for Capturing the Well-Being of Working Adults and Protective Factors Nationwide X Zhang, Y Wang, H Lyu, Y Zhang, Y Liu, J Luo Frontiers in Psychology 12, 2021 | 32 | 2021 |
| 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 | 31 | 2016 |
| In the eyes of the beholder: Analyzing social media use of neutral and controversial terms for COVID-19 L Chen, H Lyu, T Yang, Y Wang, J Luo arXiv preprint arXiv:2004.10225, 2020 | 25 | 2020 |
| 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 | 22 | 2016 |
| The influence of COVID-19 on well-being X Zhang, Y Wang, H Lyu, Y Zhang, Y Liu, J Luo PsyArXiv, 2020 | 20 | 2020 |
| The ivory tower lost: How college students respond differently than the general public to the covid-19 pandemic. arXiv 2020 V Duong, P Pham, T Yang, Y Wang, J Luo arXiv preprint arXiv:2004.09968, 2020 | 19* | 2020 |
| Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data: A Comment Y Wang Political Analysis, 2019 | 16 | 2019 |
Jiebo LuoAlbert Arendt Hopeman Professor of Engineering, University of RochesterVerified email at cs.rochester.edu
