Secondary Analysis of Electronic Health Records MITC Data Springer International Publishing, 2016 | 262* | 2016 |
Quantifying place: Analyzing the drivers of pedestrian activity in dense urban environments Y Lai, C Kontokosta Landscape and Urban Planning 180, 166-178, 2018 | 65 | 2018 |
Neighbourhood for playing: using GPS, GIS and accelerometry to delineate areas within which youth are physically active L Yin, S Raja, X Li, Y Lai, L Epstein, J Roemmich Urban studies 50 (14), 2922-2939, 2013 | 59 | 2013 |
Urban intelligence for pandemic response Y Lai, W Yeung, LA Celi JMIR public health and surveillance 6 (2), e18873, 2020 | 49 | 2020 |
The impact of urban street tree species on air quality and respiratory illness: A spatial analysis of large-scale, high-resolution urban data Y Lai, CE Kontokosta Health & place 56, 80-87, 2019 | 44 | 2019 |
Disrupting electronic health records systems: the next generation LA Celi, JD Marshall, Y Lai, DJ Stone JMIR medical informatics 3 (4), e4192, 2015 | 40 | 2015 |
Topic modeling to discover the thematic structure and spatial-temporal patterns of building renovation and adaptive reuse in cities Y Lai, C Kontokosta Computers, Environment and Urban Systems 78, 101383, 2019 | 39 | 2019 |
Building retrofit hurdle rates and risk aversion in energy efficiency investments Y Lai, S Papadopoulos, F Fuerst, G Pivo, J Sagi, CE Kontokosta Applied Energy 306, 118048, 2022 | 33 | 2022 |
MIT COVID-19 Datathon: data without boundaries EM Luo, S Newman, M Amat, ML Charpignon, ER Duralde, S Jain, ... BMJ innovations 7 (1), 231, 2021 | 20 | 2021 |
Unsupervised learning for county-level typological classification for COVID-19 research Y Lai, ML Charpignon, DK Ebner, LA Celi Intelligence-Based Medicine, 100002, 2020 | 12 | 2020 |
An unsupervised machine learning approach to assess the ZIP code level impact of COVID-19 in NYC F Khmaissia, PS Haghighi, A Jayaprakash, Z Wu, S Papadopoulos, Y Lai, ... 2020 International Conference on Machine Learning, 2020 | 11 | 2020 |
Leveraging data science for global health MITC Data | 10* | 2020 |
Hyper-local urban contextual awareness through open data integration Y Lai 2020 IEEE International Conference on Pervasive Computing and Communications …, 2020 | 9 | 2020 |
Urban intelligence for carbon neutral cities: Creating synergy among data, analytics, and climate actions Y Lai Sustainability 14 (12), 7286, 2022 | 7 | 2022 |
Delivering on NIH data sharing requirements: avoiding Open Data in Appearance Only H Watson, J Gallifant, Y Lai, AP Radunsky, C Villanueva, N Martinez, ... BMJ Health & Care Informatics 30 (1), 2023 | 6 | 2023 |
Disrupting electronic health records systems: the next generation. JMIR Med Inform. 2015 Oct 23; 3 (4): e34. 10.2196/medinform. 4192 LA Celi, JD Marshall, Y Lai, DJ Stone | 6 | |
Disrupting electronic health records systems: the next generation. JMIR Med Inform. 2015; 3 (4): e34. doi: 10.2196/medinform. 4192 LA Celi, JD Marshall, Y Lai, DJ Stone | 5 | |
Urban intelligence for planetary health Y Lai Earth 2 (4), 972-979, 2021 | 4 | 2021 |
面向绿色基础设施的城市信息学: 纽约市行道树数据收集, 分析与公众科学的综合研究 来源, 王钰, 林添怿 风景园林 28 (1), 17-30, 2021 | 4 | 2021 |
Integrating non-clinical data with EHRs MITC Data, Y Lai, E Moseley, F Salgueiro, D Stone Secondary Analysis of Electronic Health Records, 51-60, 2016 | 4 | 2016 |