| A modeling framework for characterizing near-road air pollutant concentration at community scales SY Chang, W Vizuete, A Valencia, B Naess, V Isakov, T Palma, M Breen, ... Science of the Total Environment 538, 905-921, 2015 | 58 | 2015 |
| Measurement of fugitive volatile organic compound emissions from a petrochemical tank farm using open-path Fourier transform infrared spectrometry CF Wu, T Wu, RA Hashmonay, SY Chang, YS Wu, CP Chao, CP Hsu, ... Atmospheric Environment 82, 335-342, 2014 | 42 | 2014 |
| Daily associations of air pollution and pediatric asthma risk using the biomedical REAI-Time Health Evaluation (BREATHE) Kit H Hao, SP Eckel, A Hosseini, EDS Van Vliet, E Dzubur, G Dunton, ... International journal of environmental research and public health 19 (6), 3578, 2022 | 10 | 2022 |
| Fine-Scale Modeling of Individual Exposures to Ambient PM2.5, EC, NOx, and CO for the Coronary Artery Disease and Environmental Exposure (CADEE) Study M Breen, SY Chang, M Breen, Y Xu, V Isakov, S Arunachalam, ... Atmosphere 11 (1), 65, 2020 | 9 | 2020 |
| Developing and evaluating techniques for localizing pollutant emission sources with open-path Fourier transform infrared measurements and wind data CF Wu, CH Chen, SY Chang, PE Chang, RH Shie, LY Sung, JC Yang, ... Journal of the Air & Waste Management Association 58 (10), 1360-1369, 2008 | 9 | 2008 |
| Electric vehicle fleet penetration helps address inequalities in air quality and improves environmental justice SY Chang, J Huang, MR Chaveste, FW Lurmann, DS Eisinger, ... Communications Earth & Environment 4 (1), 135, 2023 | 8 | 2023 |
| Modeled and measured near-road PM2. 5 concentrations: Indianapolis and Providence cases KJ Craig, LM Baringer, SY Chang, MC McCarthy, S Bai, AF Seagram, ... Atmospheric Environment 240, 117775, 2020 | 8 | 2020 |
| Finely Resolved On‐Road PM2.5 and Estimated Premature Mortality in Central North Carolina SY Chang, W Vizuete, M Serre, LP Vennam, M Omary, V Isakov, M Breen, ... Risk Analysis 37 (12), 2420-2434, 2017 | 8 | 2017 |
| Comparisons of radial plume mapping algorithms for locating gaseous emission sources C Wu, S Chang Atmospheric environment 45 (7), 1476-1482, 2011 | 8 | 2011 |
| Comparison of highly resolved model-based exposure metrics for traffic-related air pollutants to support environmental health studies SY Chang, W Vizuete, M Breen, V Isakov, S Arunachalam International Journal of Environmental Research and Public Health 12 (12 …, 2015 | 7 | 2015 |
| Evaluating the performance of the horizontal radial plume mapping technique for locating multiple plumes SY Chang, CF Wu Journal of the Air & Waste Management Association 62 (11), 1249-1256, 2012 | 7 | 2012 |
| Empirical nitrogen and sulfur critical loads of US tree species and their uncertainties with machine learning NR Pavlovic, SY Chang, J Huang, K Craig, C Clark, K Horn, CT Driscoll Science of the Total Environment 857, 159252, 2023 | 6 | 2023 |
| Air quality and source apportionment modeling of year 2017 ozone episodes in Albuquerque/Bernalillo County, New Mexico K Craig, G Erdakos, SY Chang, L Baringer Journal of the Air & Waste Management Association 70 (11), 1101-1120, 2020 | 5 | 2020 |
| Zero emission vehicles: forecasting fleet scenarios and their emissions implications G Erdakos, SY Chang, D Eisinger, A Heller, H Unger, L Berger NCHRP Web-Only Document, 2019 | 1 | 2019 |
| Pregnancy exposure to PM2. 5 from wildland fire smoke and preterm birth in California S Picciotto, SM Huang, F Lurmann, N Pavlovic, SY Chang, A Mukherjee, ... Environment International 186, 108583, 2024 | | 2024 |
| Development and Evaluation of Wildland Fire Smoke PM2.5 Data Sets NR Pavlovic, C McClure, SY Chang, D King, F Lurmann AGU23, 2023 | | 2023 |
| Exposure to PM2.5 and Ozone Pollution from Wildfire and Prescribed Fire by Demographics in California SJ Kramer, SM Huang, SY Chang, JJ Huang, A Padula, F Lurmann 103rd AMS Annual Meeting, 2023 | | 2023 |
| Empirical Critical Levels of Ozone for US Tree Species and Their Uncertainties with Machine Learning SY Chang, NR Pavlovic, J Huang, K Craig, C Clark, KA Thorn, CT Driscoll AGU Fall Meeting Abstracts 2022, B12G-1146, 2022 | | 2022 |
| Predicting Fog and Stratus Dissipation for Solar Energy Applications in California Using Meteorological Measurements and Machine Learning SY Chang, N Pavlovic, K Craig, DB Kirk-Davidoff, Q Wang 101st American Meteorological Society Annual Meeting, 2021 | | 2021 |
| Improved Total Deposition Measurement Model Fusion (Tdep Mmf) Application and Evaluation of US Total Atmospheric Deposition Estimates G Beachley, SY Chang, N Pavlovic, M Puchalski, C Rogers, K Foley, ... Available at SSRN 4852968, 0 | | |
