Publications

*See Google Scholar for a list of all publications.
**HuMNet members are colored by green.

2025

  • Wu, S., Chen, B., Song, Y., An, J., Lin, C., & Gong, P. (2025). Shade watch: Mapping citywide shade dynamics through ray tracing and LiDAR data in Hong Kong’s complex 3-D built environment. Sustainable Cities and Society118, 106011. [DOI] [PDF]
  • Song, Y., Dasgupta, N., & Bell, M. L. (2025). Evaluating Algorithmic Approaches to Uncover Racial, Ethnic, and Gender Disparities in Scientific Authorship. American Journal of Public Health, (0), e1-e8. [DOI] [PDF]
  • Characterising acute and chronic care needs: insights from the Global Burden of Disease Study 2019[J]. Nature communications, 2025, 16(1): 4235. [DOI] [PDF]
  • Stewart, R. K., Kim, H., Choi, H. M., Song, Y., Zhang, Y., Gillingham, K. T., … & Bell, M. L. (2025). Human Health Impacts of Energy Transitions across the United States among Sociodemographic Subpopulations for the Year 2050. Environmental Science & Technology. [DOI] [PDF]
  • Foo, D., Regan, A. K., Heo, S., Schneider, E. B., Canner, J., Song, Y., & Bell, M. L. (2025, October). Association between fine particulate matter (PM2. 5) and severity of acute respiratory infections among young US children in the major cities in the United States: a claims-based cohort study. In Open Forum Infectious Diseases (Vol. 12, No. 10, p. ofaf442). US: Oxford University Press. [DOI] [PDF]
  • Heo, S., Byun, G., Choi, Y., Song, Y., Bravo, M., Ma, T., … & Bell, M. L. (2025). A scoping review on the impact of ambient temperature on human infertility. Environmental Research, 123641. [DOI] [PDF]

2024

  • Song, Y., Deziel, N. C., & Bell, M. L. (2024). Delineating urbanicity and rurality: impact on environmental exposure assessment. Environmental science & technology58(43), 19178-19188. [DOI] [PDF]
  • Son, J. Y., Heo, S., Byun, G., Foo, D., Song, Y., Lewis, B. M., … & Bell, M. L. (2024). A systematic review of animal feeding operations including concentrated animal feeding operations (CAFOs) for exposure, health outcomes, and environmental justice. Environmental Research259, 119550. [DOI] [PDF
  • Song, Y., Wu, S., Chen, B., & Bell, M. L. (2024). Unraveling near real-time spatial dynamics of population using geographical ensemble learning. International Journal of Applied Earth Observation and Geoinformation.130, 103882. [DOI] [PDF
  • Ferrari, A. J., Santomauro, D. F., Aali, A., …Song, Y., … Vos, T., & Murray, C. J. L. (2024). Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 403(10440), 2133-2161. [DOI] [PDF
  • Naghavi, M., Ong, K. L., Aali, A., … Song, Y., … Wool, E. E. & Murray, C. J. L. (2024). Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 403(10440), 1989-2056.  [DOI] [PDF
  • Bhattacharjee, N. V., Schumacher, A. E., Aali, A., Abate, Y. H., Abbasgholizadeh, R., Abbasian, M., … & Bahri, R. A. (2024). Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. The lancet403(10440), 2057-2099. [DOI] [PDF
  • Schumacher, A. E., Kyu, H. H., Aali, A., Abbafati, C., Abbas, J., Abbasgholizadeh, R., … & Amzat, J. (2024). Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. The Lancet403(10440), 1989-2056. [DOI] [PDF
  • Wang, R., Song, Y., Yang, L., & Browning, M. H. (2024). Neighbourhood green space and loneliness in middle-aged and older adults: Evidence from WHO Study on Global Ageing and Adult Health in China. Urban Forestry & Urban Greening, 95, 128324. [DOI] [PDF
  • Steinmetz, J. D., Seeher, K. M., Schiess, N., … Song, Y., … Ong, K. L., Valery L Feigin, V. L., Vos, T., & Dua, T. (2024). Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet Neurology, 23(4), 344-381. [DOI] [PDF
  • Chen, B., Wu, S., Jin, Y., Song, Y., Wu, C., Venevsky, S., Xu, B., Webster, C., & Gong P. (2023). Wildfire risk for global wildland–urban interface (WUI) areas. Nature Sustainability. [DOI] [PDF

2023

  • Foo, D., Heo, S., Dhamrait, G., Stewart, R., Choi, H. M., Song, Y., & Bell, M. L. (2023). Wildfire smoke exposure during pregnancy and adverse perinatal, obstetric, and early childhood health outcom: a systematic review and meta-analysis. Environmental Research. [DOI] [PDF
  • He, Q., Ye, T., Wang, W., Luo, M., Song, Y., & Zhang, M. (2023). Spatiotemporally continuous estimates of daily 1-km PM2. 5 concentrations and their long-term exposure in China from 2000 to 2020. Journal of Environmental Management, 342, 118145. [DOI] [PDF
  • Liu, D., Kwan, M. P., Kan, Z., Song, Y., & Li, X. (2022). Racial/Ethnic Inequity in Transit-Based Spatial Accessibility to COVID-19 Vaccination Sites. Journal of Racial and Ethnic Health Disparities, 10, 1533–1541. [DOI] [PDF
  • Tu, Y., Chen, B., Yu, L., Song, Y., Wu, S., Li, M., Wei, H., Chen, T., Lang, W., Gong, P. & Xu, B. (2023). Raveling the nexus between urban expansion and cropland loss in China. Landscape Ecology, 38, 1869-1884. [DOI] [PDF] 
  • Ho, H.C., Song, Y., Cheng, W., Liu, Y., Guo, Y., Lu, S., Lum, T., Chiu, R.L.H., & Webster. C. (2023). How do forms and characteristics of Asian public housing neighbourhoods affect dementia risk among senior population? A cross-sectional study in Hong Kong. Public Health, 219, 44-52. [DOI] [PDF
  • Liu, Y., Guo, Y., Lu, S., Chan, O. F., Chui, C., Ho, H. C., Song, Y., Cheng, W., Chiu, R. L. H., Webster, C., & Lum, T. Y. (2023). Understanding the long-term effects of public open space on older adults’ functional ability and mental health. Building and Environment, 234, 110126. [DOI] [PDF
  • Chan, O. F., Liu, Y., Guo, Y., Lu, S., Chui, H. K,. Ho, H. C., Song, Y., Cheng, W., Chiu, L. H., & Webster, C. (2022).  Neighborhood built environments and cognition in later life. Aging & Mental Health, 27(3), 466-474. [DOI] [PDF
  • Jin, Y., So, H., Cerin, E., … Song, Y., Tam, L., & Wu, D. (2023). The temporal trend of disease burden attributable to metabolic risk factors in China, 1990–2019: An analysis of the Global Burden of Disease study. Frontiers in Nutrition, 9, 1035439. [DOI] [PDF
  • He, Q., Wang, W., Song, Y., Zhang, M., & Huang, B. (2023). Spatiotemporal high-resolution imputation modeling of aerosol optical depth for investigating its full-coverage variation in China from 2003 to 2020. Atmospheric Research, 281, 106481. [DOI] [PDF

2022

  • Ikuta, K. S., Swetschinski, L. R., Aguilar, G. R., … Song, Y., … Murray, C. J. L. N. & Mohsen N. (2022). Global mortality associated with 33 bacterial pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019.The Lancet. 400(10369), 2221-2248. [DOI] [PDF
  • Song, Y., Xu Y., Chen, B., He, Q., Tu, Y., Wang, F., & Cai, C. (2022). Dynamic population mapping with AutoGluon. Urban Informatics, 1(1), 13. [DOI] [PDF
  • Kyu, H. H., Vongpradith, A., Sirota, S. B., … Song, Y., … & Murray, C. J. L. (2022). Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: results from the Global Burden of Disease Study 2019. The Lancet Infectious Diseases, 22(11), 1626-1647. [DOI] [PDF
  • Tran, K. B., Lang, J. J., Compton, K., … Song, Y., … Force, L. M., & Murray, C. J. L. (2022). The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019.The Lancet, 400(10352), 563-591. [DOI] [PDF
  • Chen, B., Wu, S., Song, Y., Webster, C., Xu, B., & Gong, P. (2022). Contrasting inequality in human exposure to greenspace between cities of Global North and Global South. Nature Communications, 13, 4636. [DOI] [PDF
  • Ho, H. C., Cheng, W., Song, Y., Liu, Y., Guo, Y., Lu, S., Lum, T. Y., Chiu, R., & Webster, C. (2022). Spatial uncertainty and environment-health association: An empirical study of osteoporosis among “old residents” in public housing estates across a hilly environment. Social Science & Medicine, 306, 115155. [DOI] [PDF
  • Chen, B., Tu, Y., Wu, S., Song, Y., Jin, Y., Webster, C., Xu, B., & Gong, P. (2022). Beyond green environments: multi-scale difference in human exposure to greenspace in China. Environment International, 166, 107348. [DOI] [PDF
  • Bryazka, D., Reitsma, M. B., Griswold, M. G., … Song, Y., … & Gakidou, E. (2022). Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020. The Lancet, 400(10347), 185-235. [DOI] [PDF
  • Liu, D., Kwan, M. P., Kan, Z., Song, Y., & Li, X. (2022). Inter- and intra-racial/ethnic disparities in walking accessibility to grocery stores. Area, 54(4), 627-637. [DOI] [PDF] 
  • He, D., Miao, J., Lu, Y., Song, Y., Chen, L., & Liu, Y. (2022). Urban greenery mitigates the negative effect of urban density on older adults’ life satisfaction: Evidence from Shanghai, China. Cities, 124, 103607. [DOI] [PDF
  • Liu, D., Kwan, M. P., Huang, J., Kan, Z., Song, Y., & Li, X. (2022). [DOI] Analyzing income-based inequality in transit nodal accessibility. Travel Behaviour and Society, 27, 57-64. [DOI] [PDF
  • Cong, J., Wang, L. B., Liu, F. J., Qian, Z., McMillin, S. E., Vaughn, M. G., Song, Y., Wang, S., Chen, S., Xiong, S., Shen, X., Sun, X., Zhou, Y., Ho, H. C., & Dong. G. H. (2022). Associations between metabolic syndrome and anthropogenic heat emissions in northeastern China. Environmental Research, 204, 111974. [DOI] [PDF
  • Long, Y., Song, Y., & Chen, L. (2022). Identifying subcenters with a nonparametric method and ubiquitous point-of-interest data: A case study of 284 Chinese cities. Environment and Planning B: Urban Analytics and City Science, 49(1), 58-75. [DOI] [PDF

2021

  • Lu, S., Liu, Y., Guo, Y., Ho, H. C., Song, Y., Cheng, W., Chui, C., Chan, O., Chiu, R. L. H., Webster, C., & Lum, T. Y. (2021). Neighborhood built environment and late-life depression: a multilevel path analysis in a Chinese society. The Journals of Gerontology: Series B, 76(10), 2143-2154. [DOI] [PDF
  • Song, Y., Chen, B., Ho, C., H., Kwan, M. P., Liu, D., Wang, J., Cai, J., Li, X., Xu, Y., He, Q., Wang, H., Xu, Q., & Song, Y. (2021). Observed inequality in urban greenspace exposure in China. Environment International, 156, 106778. [DOI] [PDF
  • He, Q., Gao, K., Zhang, L., Song, Y., & Zhang, M. (2021). Satellite-derived 1-km estimates and long-term trends of PM2.5 concentrations in China from 2000 to 2018. Environment International, 156, 106726. [DOI] [PDF
  • Zhang, Y., Wei J., Shi Y., Quan C., Ho, H. C., Song, Y., & Zhang, L. (2021). Early-life exposure to submicron particulate air pollution in relation to asthma development in Chinese preschool children. Journal of Allergy and Clinical Immunology, 148(3), 771-782. [DOI] [PDF
  • Chen, B., Tu, Y., Song, Y., Theobald, D., Zhang, T., Ren, Z., Li, X., Yang, J., Wang, J., Wang, X., Gong, P., Bai, Y., & Xu, B. (2021). Mapping essential urban land use categories with open big data: Results for five metropolitan areas in the United States of America. ISPRS Journal of Photogrammetry and Remote Sensing 178, 203-218. [DOI] [PDF
  • Liu, Y., Lu, S., Guo, Y., Ho, H. C., Song, Y., Cheng, W., Hiu, C., Chui, K., Chan, O., Chiu, R. L. H., Webster, C., & Lum, T. Y. (2021). Longitudinal associations between neighbourhood physical environments and depressive symptoms of older adults in Hong Kong: The moderating effects of terrain slope and declining functional abilities. Health & Place, 70, 102585. [DOI] [PDF
  • Wu, W., Yao, Y., Song, Y., He, D., & Wang, Y. (2021). Perceived influence of street-level visible greenness exposure in the work and residential environment on life satisfaction: Evidence from Beijing, China. Urban Forestry & Urban Greening, 62, 127161. [DOI] [PDF
  • Wang, X., Xu, Z., Su, H., Ho, H. C., Song, Y., Zheng, H., Hossain, M., Z., Khan, M., F., Bogale, F., Wei, J., & Cheng, J. (2021). Ambient particulate matter (PM1, PM2.5, PM10) and childhood pneumonia: The smaller particle, the greater short-term impact? Science of the Total Environment, 772, 145509. [DOI] [PDF
  • Lu, S., Liu, Y., Guo, Y., Ho, H. C., Song, Y., Cheng, W., Chui, C., Chan, O. F., Webster, C., Lai, R., Chiu, H., & Lum, T. Y. (2021). Neighbourhood physical environment, intrinsic capacity, and 4-year late-life functional ability trajectories of low-income Chinese older population: A longitudinal study with the parallel process of latent growth curve modelling. EClinicalMedicine, 36, 100927. [DOI] [PDF
  • Xu, Y., Song, Y., Cai, J., & Zhu, H. (2021). Population mapping in China with Tencent social user and remote sensing data. Applied Geography, 130, 102450. [DOI] [PDF
  • He, Q., Zhang, M., Song, Y., & Huang, B. (2021). Spatiotemporal assessment of PM2.5 concentrations and exposure in China from 2013 to 2017 using satellite-derived data. Journal of Cleaner Production, 286, 124965. [DOI] [PDF
  • Guo, H., Wei, J., Li. X., Ho, H. C., Song, Y., Wu, J., & Li, W. (2021). Do socioeconomic factors modify the effects of PM1 and SO2 on lung cancer incidence in China? Science of the Total Environment, 756, 143998. [DOI] [PDF
  • Liu, D., Kwan, M. P., Kan, Z. & Song, Y. (2021). An integrated analysis of housing and transit affordability in the Chicago metropolitan area. The Geographical Journal,187(2), 110-126*.*[DOI] [PDF
  • Liu, L, Song, F., Fang, J., Wei, J., Ho, H. C., Song, Y., Zhang, Y., Wang, L., Hu, C., & Zhang. Y. (2021). Intraday effects of ambient PM1 on emergency department visits in Guangzhou, China: a case-crossover study. Science of the Total Environment, 750, 142347. [DOI] [PDF

2020

  • Tian, H., Liu, Y., Li, Y., Wu, C., Chen, B., Kraemer, M., Li, B., Cai, J., Xu, B., Yang, Q., Wang, B., Yang, P., Cui, Y., Song, Y., Zheng, P., Wang, Q., Bjornstad, O., Yang, R., Grenfell, B., Pybus, O., & Dye, C. (2020). An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China. Science, 368(6491), 638-642. [DOI] [PDF
  • Chen, B., Song, Y., Huang, B., & Xu, B. (2020). A novel method to extract urban human settlements by integrating remote sensing and mobile phone locations. Science of Remote Sensing, 1, 100003. [DOI] [PDF
  • Li, R., Pei, S., Chen, B., Song, Y., Zhang, T., Yang, W., & Shaman, J. (2020). Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2). Science, 368(6490), 489-493. [DOI] [PDF
  • Li, R., Chen, B, Zhang, T., Ren, Z., Song, Y., Xiao, Y., Hou, L., Cai, J., Xu, B., Chan, K. K. Y., Tu, Y., Yang, J., Liu, Z., Shen, C., Wang, C., Xu, L., Liu, Q., Bao, S., Zhang, J., Bai, Y., Deng, K., Zhang, W., Huang, W., Whittington, J. D., Stenseth, N. C., Guan, D., Gong, P., & Xu, B. (2020). Global COVID-19 pandemic demands joint interventions for the suppression of future waves. Proceedings of the National Academy of Sciences117(42), 26151-26157. [DOI] [PDF
  • Wei, J., Li, Z., Huang, W., Xue, W., Sun, L., Guo, J., Peng, Y., Li, J., Lyapustine, A, Liu, L., Wu, H., & Song, Y. (2020). Improved 1 km resolution PM2.5 estimates across China using enhanced space-time extremely randomized trees. Atmospheric Chemistry and Physics, 20(6), 3273-3289. [DOI] [PDF
  • Gong, P., Chen, B., Li, X., Liu, H., …, Song, Y., …, & Xu, B. (2020). Mapping essential urban land use categories in China (EULUC-China): Preliminary results for 2018. Science Bulletin, 65(3), 182-187. [DOI] [PDF] 
  • Song, Y., Chen, B., & Kwan, M. P. (2020). How does urban expansion impact people’s exposure to green environments? A comparative study of 290 Chinese cities. Journal of Cleaner Production, 246, 119018. [DOI] [PDF
  • Liu, Y., Wang, R., Lu, Y., Li, Z., Chen, H., Cao, M., Zhang, Y., & Song, Y. (2020). Natural outdoor environment, neighbourhood social cohesion and mental health: Using multilevel structural equation modelling, streetscape and remote-sensing metrics. Urban Forestry & Urban Greening, 48, 126576. [DOI] [PDF

2019

  • Song, Y., Huang, B., He, Q., Chen, B., Wei, J., & Mahmood, R. (2019). Dynamic assessment of PM2.5 exposure and health risk using remote sensing and geo-spatial big data. Environmental Pollution, 253, 288-296. [DOI] [PDF
  • Huang, B., Zhou, Y., Li, Z., Song, Y., Cai, J., & Tu, W. (2019). Evaluating and characterizing urban vibrancy using spatial big data: Shanghai as a case study. Environment and Planning B: Urban Analytics and City Science, 47(9), 1543-1559. [DOI] [PDF

2018

  • Song, Y., Tan, Y., Song, Y., Wu, P., Cheng, J. C., Kim, M. J., & Wang, X. (2018). Spatial and temporal variations of spatial population accessibility to public hospitals: A case study of rural-urban comparison. GIScience & Remote Sensing, 55(5), 718-744. [DOI] [PDF
  • Huang, B., Zhao, B., & Song, Y. (2018). Urban land-use mapping using a deep convolutional neural network with high spatial resolution multispectral remote sensing imagery. Remote Sensing of Environment, 214, 73-86. [DOI] [PDF
  • Song, Y., Huang, B., Cai, J., & Chen, B. (2018). Dynamic assessments of population exposure to urban greenspace using multi-source big data. Science of the Total Environment, 634, 1315-1325. [DOI] [PDF
  • Chen, B., Song, Y., Kwan, M. P., Huang, B., & Xu, B. (2018). How do people in different places experience different levels of air pollution? Using worldwide Chinese as a lens. Environmental Pollution, 238, 874-883. [DOI] [PDF
  • Chen, B., Song, Y., Jiang, T., Chen, Z., Huang, B., & Xu, B. (2018). Real-time estimation of population exposure to PM2.5 using mobile- and station-based big data. International Journal of Environmental Research and Public Health, 15(4), 573. [DOI] [PDF

2017

  •  Cai, J., Huang, B., & Song, Y. (2017). Using multi-source geospatial big data to identify the structure of polycentric cities. Remote Sensing of Environment, 202, 210-221. [DOI] [PDF