| Twitter mood predicts the stock market J Bollen, H Mao, X Zeng Journal of computational science 2 (1), 1-8, 2011 | 7479 | 2011 |
| Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena J Bollen, H Mao, A Pepe Proceedings of the international AAAI conference on web and social media 5 …, 2011 | 1294 | 2011 |
| A modified particle swarm optimizer with dynamic adaptation X Yang, J Yuan, J Yuan, H Mao Applied mathematics and computation 189 (2), 1205-1213, 2007 | 472 | 2007 |
| Happiness is assortative in online social networks J Bollen, B Gonçalves, G Ruan, H Mao Artificial life 17 (3), 237-251, 2011 | 407 | 2011 |
| Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena J Bollen, A Pepe, H Mao arXiv preprint arXiv:0911.1583, 2009 | 370 | 2009 |
| Twitter mood as a stock market predictor J Bollen, H Mao Computer 44 (10), 91-94, 2011 | 332 | 2011 |
| Loose tweets: an analysis of privacy leaks on twitter H Mao, X Shuai, A Kapadia Proceedings of the 10th annual ACM workshop on Privacy in the electronic …, 2011 | 276 | 2011 |
| Predicting financial markets: Comparing survey, news, twitter and search engine data H Mao, S Counts, J Bollen arXiv preprint arXiv:1112.1051, 2011 | 271 | 2011 |
| Hyper-resolution monitoring of urban flooding with social media and crowdsourcing data RQ Wang, H Mao, Y Wang, C Rae, W Shaw Computers & Geosciences 111, 139-147, 2018 | 231 | 2018 |
| Quantifying the effects of online bullishness on international financial markets H Mao, S Counts, J Bollen ECB Statistics Paper, 2015 | 86 | 2015 |
| Short-term and midterm load forecasting using a bilevel optimization model H Mao, XJ Zeng, G Leng, YJ Zhai, JA Keane IEEE Transactions on Power Systems 24 (2), 1080-1090, 2009 | 84 | 2009 |
| A natural language processing and geospatial clustering framework for harvesting local place names from geotagged housing advertisements Y Hu, H Mao, G McKenzie International Journal of Geographical Information Science 33 (4), 714-738, 2019 | 74 | 2019 |
| Determining the Public Mood State by Analysis of Microblogging Posts. J Bollen, H Mao, A Pepe ALIFE, 667-668, 2010 | 73 | 2010 |
| An improved WM method based on PSO for electric load forecasting X Yang, J Yuan, J Yuan, H Mao Expert Systems with Applications 37 (12), 8036-8041, 2010 | 70 | 2010 |
| Quantifying socio-economic indicators in developing countries from mobile phone communication data: applications to Côte d’Ivoire H Mao, X Shuai, YY Ahn, J Bollen EPJ Data Science 4, 1-16, 2015 | 61 | 2015 |
| Mapping near-real-time power outages from social media H Mao, G Thakur, K Sparks, J Sanyal, B Bhaduri Social Sensing and Big Data Computing for Disaster Management, 88-102, 2020 | 50 | 2020 |
| Mobile communications reveal the regional economy in Côte d’Ivoire H Mao, X Shuai, YY Ahn, J Bollen Proc. of NetMob, 2013 | 34 | 2013 |
| Automatic construction of financial semantic orientation lexicon from large-scale Chinese news corpus H Mao, P Gao, Y Wang, J Bollen Institut Louis Bachelier 20 (2), 1-18, 2014 | 29 | 2014 |
| Computational economic and finance gauges: Polls, search, and twitter H Mao, S Counts, J Bollen Meeting of the National Bureau of Economic Research-Behavioral Finance …, 2011 | 24 | 2011 |
| Geoai 2017 workshop report: the 1st acm sigspatial international workshop on geoai:@ ai and deep learning for geographic knowledge discovery: Redondo beach, ca, usa-november 7 … H Mao, Y Hu, B Kar, S Gao, G McKenzie SIGSpatial Special 9 (3), 25-25, 2018 | 22 | 2018 |
Johan BollenProfessor of Informatics and Cognitive Science, Indiana University在 indiana.edu 的电子邮件经过验证