| The twitter of babel: Mapping world languages through microblogging platforms D Mocanu, A Baronchelli, N Perra, B Gonçalves, Q Zhang, A Vespignani PloS one 8 (4), e61981, 2013 | 319 | 2013 |
| Spread of Zika virus in the Americas Q Zhang, K Sun, M Chinazzi, AP y Piontti, NE Dean, DP Rojas, S Merler, ... Proceedings of the National Academy of Sciences 114 (22), E4334-E4343, 2017 | 224 | 2017 |
| Collective attention in the age of (mis) information D Mocanu, L Rossi, Q Zhang, M Karsai, W Quattrociocchi Computers in Human Behavior 51, 1198-1204, 2015 | 170 | 2015 |
| The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt C Viboud, K Sun, R Gaffey, M Ajelli, L Fumanelli, S Merler, Q Zhang, ... Epidemics 22, 13-21, 2018 | 92 | 2018 |
| Results from the second year of a collaborative effort to forecast influenza seasons in the United States M Biggerstaff, M Johansson, D Alper, LC Brooks, P Chakraborty, ... Epidemics 24, 26-33, 2018 | 57 | 2018 |
| Forecasting seasonal influenza fusing digital indicators and a mechanistic disease model Q Zhang, N Perra, D Perrotta, M Tizzoni, D Paolotti, A Vespignani Proceedings of the 26th international conference on world wide web, 311-319, 2017 | 51 | 2017 |
| The economy of attention in the age of (mis) information A Bessi, A Scala, L Rossi, Q Zhang, W Quattrociocchi Journal of Trust Management 1 (1), 1-13, 2014 | 51 | 2014 |
| Characterizing scientific production and consumption in Physics Q Zhang, N Perra, B Goncalves, F Ciulla, A Vespignani Scientific Reports 3, 1640, 2013 | 35 | 2013 |
| Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016 CJ McGowan, M Biggerstaff, M Johansson, KM Apfeldorf, M Ben-Nun, ... Scientific reports 9 (1), 1-13, 2019 | 31 | 2019 |
| Combining participatory influenza surveillance with modeling and forecasting: Three alternative approaches JS Brownstein, S Chu, A Marathe, MV Marathe, AT Nguyen, D Paolotti, ... JMIR public health and surveillance 3 (4), e83, 2017 | 30 | 2017 |
| Committed activists and the reshaping of status-quo social consensus D Mistry, Q Zhang, N Perra, A Baronchelli Physical Review E 92 (4), 042805, 2015 | 30 | 2015 |
| Immunobiological outcomes of repeated chlamydial infection from two models of within-host population dynamics DM Vickers, Q Zhang, ND Osgood PLoS One 4 (9), e6886, 2009 | 22 | 2009 |
| Epidemic spreading on time-varying multiplex networks QH Liu, X Xiong, Q Zhang, N Perra Physical Review E 98 (6), 062303, 2018 | 20 | 2018 |
| Social data mining and seasonal influenza forecasts: the fluoutlook platform Q Zhang, C Gioannini, D Paolotti, N Perra, D Perrotta, M Quaggiotto, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015 | 18 | 2015 |
| Phase transitions in information spreading on structured populations JT Davis, N Perra, Q Zhang, Y Moreno, A Vespignani Nature Physics 16 (5), 590-596, 2020 | 13 | 2020 |
| Impacts of opinion leaders on social contagions QH Liu, FM Lü, Q Zhang, M Tang, T Zhou Chaos: An Interdisciplinary Journal of Nonlinear Science 28 (5), 053103, 2018 | 12 | 2018 |
| Topical differences between chinese language Twitter and sina weibo Q Zhang, B Gonçalves Proceedings of the 25th International Conference Companion on World Wide Web …, 2016 | 10 | 2016 |
| Music evolution in a complex system of interacting agents T Gong, Q Zhang, H Wu 2005 IEEE Congress on Evolutionary Computation 2, 1111-1118, 2005 | 10 | 2005 |
| The RAPIDD Ebola forecasting challenge: Model description and synthetic data generation M Ajelli, Q Zhang, K Sun, S Merler, L Fumanelli, G Chowell, L Simonsen, ... Epidemics 22, 3-12, 2018 | 8 | 2018 |
| Preliminary results of models to predict areas in the Americas with increased likelihood of Zika virus transmission in 2017 J Asher, C Barker, G Chen, D Cummings, M Chinazzi, S Daniel-Wayman, ... BioRxiv, 187591, 2017 | 8 | 2017 |
Alessandro VespignaniSternberg Family Distinguished Professor, Northeastern University, BostonVerified email at neu.edu
