| Detecting depression and mental illness on social media: an integrative review SC Guntuku, DB Yaden, ML Kern, LH Ungar, JC Eichstaedt Current Opinion in Behavioral Sciences 18, 43-49, 2017 | 746 | 2017 |
| Big data analytics framework for peer-to-peer botnet detection using random forests K Singh*, SC Guntuku*, A Thakur, C Hota Information Sciences 278, 488-497, 2014 | 369 | 2014 |
| The emotional and mental health impact of the murder of George Floyd on the US population JC Eichstaedt, GT Sherman, S Giorgi, SO Roberts, ME Reynolds, ... Proceedings of the National Academy of Sciences 118 (39), e2109139118, 2021 | 224 | 2021 |
| Understanding and measuring psychological stress using social media SC Guntuku, A Buffone, K Jaidka, JC Eichstaedt, LH Ungar Proceedings of the international AAAI conference on web and social media 13 …, 2019 | 178 | 2019 |
| Suicide risk assessment with multi-level dual-context language and BERT M Matero, A Idnani, Y Son, S Giorgi, H Vu, M Zamani, P Limbachiya, ... Proceedings of the sixth workshop on computational linguistics and clinical …, 2019 | 142* | 2019 |
| Tracking mental health and symptom mentions on Twitter during COVID-19 SC Guntuku, G Sherman, DC Stokes, AK Agarwal, E Seltzer, ... Journal of general internal medicine 35, 2798-2800, 2020 | 139 | 2020 |
| B-SHOT: a binary 3D feature descriptor for fast Keypoint matching on 3D point clouds SM Prakhya, B Liu, W Lin, V Jakhetiya, SC Guntuku Autonomous Robots 41 (7), 1501-1520, 2017 | 129* | 2017 |
| What twitter profile and posted images reveal about depression and anxiety SC Guntuku, D Preotiuc-Pietro, JC Eichstaedt, LH Ungar Proceedings of the international AAAI conference on web and social media 13 …, 2019 | 123 | 2019 |
| Studying expressions of loneliness in individuals using twitter: an observational study SC Guntuku, R Schneider, A Pelullo, J Young, V Wong, L Ungar, D Polsky, ... BMJ open 9 (11), e030355, 2019 | 112 | 2019 |
| Characterizing COVID-19 content posted to TikTok: public sentiment and response during the first phase of the COVID-19 pandemic L Southwick, SC Guntuku, EV Klinger, E Seltzer, HJ McCalpin, ... Journal of Adolescent Health 69 (2), 234-241, 2021 | 111 | 2021 |
| Studying cultural differences in emoji usage across the east and the west SC Guntuku, M Li, L Tay, LH Ungar Proceedings of the international AAAI conference on web and social media 13 …, 2019 | 107 | 2019 |
| Evaluating the predictability of medical conditions from social media posts RM Merchant, DA Asch, P Crutchley, LH Ungar, SC Guntuku, ... PloS one 14 (6), e0215476, 2019 | 99 | 2019 |
| Language of ADHD in adults on social media SC Guntuku, JR Ramsay, RM Merchant, LH Ungar Journal of attention disorders 23 (12), 1475-1485, 2019 | 95 | 2019 |
| Facebook versus Twitter: Differences in self-disclosure and trait prediction K Jaidka, S Guntuku, L Ungar Proceedings of the International AAAI Conference on Web and Social Media 12 (1), 2018 | 92 | 2018 |
| Public priorities and concerns regarding COVID-19 in an online discussion forum: longitudinal topic modeling DC Stokes, A Andy, SC Guntuku, LH Ungar, RM Merchant Journal of general internal medicine 35 (7), 2244-2247, 2020 | 82 | 2020 |
| Optimisation of turning parameters by integrating genetic algorithm with support vector regression and artificial neural networks AK Gupta, SC Guntuku, RK Desu, A Balu The International Journal of Advanced Manufacturing Technology 77, 331-339, 2015 | 75 | 2015 |
| Latent factor representations for cold-start video recommendation S Roy, SC Guntuku Proceedings of the 10th ACM conference on recommender systems, 99-106, 2016 | 68 | 2016 |
| Studying Personality through the Content of Posted and Liked Images on Twitter SC Guntuku, W Lin, J Carpenter, WK Ng, LH Ungar, D Preoţiuc-Pietro ACM Web Science, 2017 | 67 | 2017 |
| Examining the phenomenon of quarter-life crisis through artificial intelligence and the language of Twitter S Agarwal, SC Guntuku, OC Robinson, A Dunn, LH Ungar Frontiers in Psychology 11, 341, 2020 | 64 | 2020 |
| Patients’ willingness to share digital health and non-health data for research: a cross-sectional study E Seltzer, J Goldshear, SC Guntuku, D Grande, DA Asch, EV Klinger, ... BMC Medical Informatics and Decision Making 19, 1-8, 2019 | 63 | 2019 |
Lyle UngarUniversity of PennsylvaniaVerified email at cis.upenn.edu