| What We Instagram: A First Analysis of Instagram Photo Content and User Types Y Hu, L Manikonda, S Kambhampati ICWSM, 2014 | 1691 | 2014 |
| Embeddedness, Prosociality, and Social Influence Y Hong, Y Hu, G Burtch Mis Quarterly 42 (4), 1211-A4, 2018 | 187 | 2018 |
| Et-lda: Joint topic modeling for aligning events and their twitter feedback Y Hu, A John, F Wang, S Kambhampati Proceedings of the AAAI conference on artificial intelligence 26 (1), 59-65, 2012 | 145 | 2012 |
| Analyzing user activities, demographics, social network structure and user-generated content on Instagram L Manikonda, Y Hu, S Kambhampati arXiv preprint arXiv:1410.8099, 2014 | 141 | 2014 |
| Dude, srsly?: The surprisingly formal nature of Twitter's language Y Hu, K Talamadupula, S Kambhampati Proceedings of the International AAAI Conference on Web and Social Media 7 …, 2013 | 130 | 2013 |
| Generating business intelligence through social media analytics: Measuring brand personality with consumer-, employee-, and firm-generated content Y Hu, A Xu, Y Hong, D Gal, V Sinha, R Akkiraju Journal of Management Information Systems 36 (3), 893-930, 2019 | 116 | 2019 |
| Understanding characteristics of popular streamers on live streaming platforms: Evidence from Twitch. tv K Zhao, Y Hu, Y Hong, JC Westland Journal of the Association for Information Systems, Forthcoming, 2019 | 97 | 2019 |
| What were the tweets about? topical associations between public events and twitter feeds Y Hu, A John, D Seligmann, F Wang Proceedings of the International AAAI Conference on Web and Social Media 6 …, 2012 | 85 | 2012 |
| Whoo. ly: Facilitating information seeking for hyperlocal communities using social media Y Hu, SD Farnham, A Monroy-Hernández Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2013 | 84 | 2013 |
| Everyone can be a star: Quantifying grassroots online sellers’ live streaming effects on product sales C Chen, Y Hu, Y Lu, Y Hong | 83 | 2019 |
| Listening to the Crowd: Automated Analysis of Events via Aggregated Twitter Sentiment Y Hu, F Wang, S Kambhampati Proc. IJCAI, 2013 | 64 | 2013 |
| Predicting user engagement on twitter with real-world events Y Hu, S Farnham, K Talamadupula Proceedings of the International AAAI Conference on Web and Social Media 9 …, 2015 | 54 | 2015 |
| How does social media affect contribution to public versus private goods in crowdfunding campaigns? Y Hong, Y Hu, G Burtch | 51 | 2015 |
| Analyzing User Activities, Demographics L Manikonda, Y Hu, S Kambhampati Social Network Structure and User-Generated Content on Instagram 5, 2014 | 51 | 2014 |
| Predicting perceived brand personality with social media A Xu, H Liu, L Gou, R Akkiraju, J Mahmud, V Sinha, Y Hu, M Qiao Proceedings of the International AAAI Conference on Web and Social Media 10 …, 2016 | 50 | 2016 |
| Direct and indirect spillovers from content providers’ switching: Evidence from online livestreaming K Zhao, Y Lu, Y Hu, Y Hong Information Systems Research 34 (3), 847-866, 2023 | 40 | 2023 |
| Inferring sentiment from web images with joint inference on visual and social cues: A regulated matrix factorization approach Y Wang, Y Hu, S Kambhampati, B Li Proceedings of the International AAAI Conference on Web and Social Media 9 …, 2015 | 33 | 2015 |
| Ontology driven adaptive data processing in wireless sensor networks Y Hu, Z Wu, M Guo 2nd International ICST Conference on Scalable Information Systems, 2010 | 29 | 2010 |
| Everyone can be a star: Understanding the role of live video streaming in online retail C Cheng, Y Hu, Y Lu, Y Hong Available at SSRN 3422615, 2019 | 28 | 2019 |
| Examining the impact of television-program-induced emotions on online word-of-mouth toward television advertising T Nian, Y Hu, C Chen Information Systems Research 32 (2), 605-632, 2021 | 27 | 2021 |
Subbarao KambhampatiArizona State UniversityVerified email at asu.edu
