公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 |
2014 | Measurement of fugitive volatile organic compound emissions from a petrochemical tank farm using open-path Fourier transform infrared spectrometry | CHANG-FU WU ; Wu T.-G.; Hashmonay R.A.; Chang S.-Y.; Wu Y.-S.; Chao C.-P.; Hsu C.-P.; Chase M.J.; Kagann R.H. | Atmospheric Environment | 28 | 23 | |
2014 | Modeling horizontal and vertical variation in intraurban exposure to PM2.5 concentrations and compositions | CHANG-FU WU ; Lin H.-I.; Ho C.-C.; Yang T.-H.; Chen C.-C.; CHANG-CHUAN CHAN | Environmental Research | 34 | 31 | |
2015 | Mortality risk attributable to high and low ambient temperature: A multicountry observational study | Gasparrini A.; Guo Y.; Hashizume M.; Lavigne E.; Zanobetti A.; Schwartz J.; Tobias A.; Tong S.; Rocklöv J.; Forsberg B.; Leone M.; De Sario M.; Bell M.L.; Yue Leon Guo ; CHANG-FU WU ; Kan H.; Yi S.-M.; De Sousa Zanotti Stagliorio Coelho M.; Saldiva P.H.N.; Honda Y.; Kim H.; Armstrong B. | The Lancet | 1580 | 1298 | |
2020 | Neuropathology changed by 3- and 6-months low-level PM2.5 inhalation exposure in spontaneously hypertensive rats | Chuang, Hsiao-Chi; HSIN-CHANG CHEN ; Chai, Pei-Jui; Liao, Ho-Tang; CHANG-FU WU ; Chen, Chia-Ling; Jhan, Ming-Kai; Hsieh, Hui-I; KUEN-YUH WU ; TA-FU CHEN ; TSUN-JEN CHENG | Particle and fibre toxicology | 19 | 18 | |
2018 | Outpatient visits for allergic diseases are associated with exposure to ambient fungal spores in the greater Taipei area | Kallawicha K.; Chuang Y.-C.; Lung S.-C.C.; CHANG-FU WU ; Han B.-C.; Ting Y.-F.; Chao H.J. | Aerosol and Air Quality Research | 11 | 9 | |
2003 | Path concentration profile reconstruction of optical remote sensing measurements using polynomial curve fitting procedures | CHANG-FU WU ; Yost M.G.; Hashmonay R.A.; Tsai M.-Y. | Atmospheric Environment | 10 | 11 | |
2004 | Personal exposure assessment with open-path FTIR | CHANG-FU WU ; Yost M.G.; Hashmonay R.A.; Larson T.V. | Proceedings of the Air and Waste Management Association's Annual Meeting and Exhibition | 0 | | |
2017 | Projections of temperature-related excess mortality under climate change scenarios | Gasparrini A.; Guo Y.; Sera F.; Vicedo-Cabrera A.M.; Huber V.; Tong S.; de Sousa Zanotti Stagliorio Coelho M.; Nascimento Saldiva P.H.; Lavigne E.; Matus Correa P.; Valdes Ortega N.; Kan H.; Osorio S.; Kysel? J.; Urban A.; Jaakkola J.J.K.; Ryti N.R.I.; Pascal M.; Goodman P.G.; Zeka A.; Michelozzi P.; Scortichini M.; Hashizume M.; Honda Y.; Hurtado-Diaz M.; Cesar Cruz J.; Seposo X.; Kim H.; Tobias A.; Iñiguez C.; Forsberg B.; Åström D.O.; Ragettli M.S.; Yue Leon Guo ; CHANG-FU WU ; Zanobetti A.; Schwartz J.; Bell M.L.; Dang T.N.; Van D.D.; Heaviside C.; Vardoulakis S.; Hajat S.; Haines A.; Armstrong B. | The Lancet Planetary Health | 445 | 405 | |
2021 | Quantifying spatial heterogeneity of vulnerability to short-term PM2.5 exposure with data fusion framework | Kuo C.-P.; Fu J.S.; Wu P.-C.; Cheng T.-J.; Chiu T.-Y.; Huang C.-S.; CHANG-FU WU ; Lai L.-W.; Lai H.-C.; Liang C.-K. | Environmental Pollution | 4 | 2 | |
2007 | Rapid method for determining dermal exposures to pesticides by use of tape stripping and FTIR spectroscopy: A pilot study | CHANG-FU WU ; Chiu H.-H. | Journal of Occupational and Environmental Hygiene | 5 | 4 | |
2017 | Regulation of fine particulate matter (PM2.5) in the Pacific Rim: perspectives from the APRU Global Health Program | CHANG-FU WU ; Woodward A.; Li Y.-R.; Kan H.; Balasubramanian R.; Latif M.T.; Sahani M.; TSUN-JEN CHENG ; CHIA-PIN CHIO ; Taneepanichskul N.; Kim H.; CHANG-CHUAN CHAN ; Yi S.-M.; Withers M.; Samet J. | Air Quality, Atmosphere and Health | 18 | 14 | |
2019 | Seasonal variation of chemical characteristics of fine particulate matter at a high-elevation subtropical forest in East Asia | Lee, Celine S. L.; Chou, C. C.-K.; Cheung, H. C.; Tsai, C.-Y.; Huang, W.-R.; SHENG-HSIU HUANG ; Chen, M.-J.; Liao, H.-T.; CHANG-FU WU ; Tsao, T.-M.; MING-JER TSAI ; TA-CHEN SU | Environmental Pollution | 20 | 15 | |
2015 | Short-term exposure to fine and coarse particles and mortality: A multicity time-series study in East Asia | Lee H.; Honda Y.; Hashizume M.; Yue Leon Guo ; CHANG-FU WU ; Kan H.; Jung K.; Lim Y.-H.; Yi S.; Kim H. | Environmental Pollution | 101 | 93 | |
2022 | Simulating nitrate formation mechanisms during PM2.5 events in Taiwan and their implications for the controlling direction | Chuang, Ming-Tung; CHANG-FU WU ; Lin, Chuan-Yao; Lin, Wei-Che; Chou, Charles C.-K; Lee, Chung-Te; Lin, Tang-Huang; Fu, Joshua S.; Kong, Kong, Steven Soon-Kai | Atmospheric Environment | 10 | 10 | |
2015 | Source and risk apportionment of selected VOCs and PM2.5 species using partially constrained receptor models with multiple time resolution data | Liao H.-T.; Chou C.C.-K.; Chow J.C.; Watson J.G.; Hopke P.K.; CHANG-FU WU | Environmental Pollution | 72 | 65 | |
2016 | Source apportionment of mass concentration and inhalation risk with long-term ambient PCDD/Fs measurements in an urban area | Ho C.-C.; CHANG-CHUAN CHAN ; CHIA-PIN CHIO ; Lai Y.-C.; Chang-Chien G.-P.; Chow J.C.; Watson J.G.; Chen L.-W.A.; PAU-CHUNG CHEN ; CHANG-FU WU | Journal of Hazardous Materials | 14 | 13 | |
2014 | Source apportionment of particulate matter and selected volatile organic compounds with multiple time resolution data | Kuo C.-P.; Liao H.-T.; Chou C.C.-K.; CHANG-FU WU | Science of the Total Environment | 54 | 51 | |
2007 | Source apportionment of PM2.5 and selected hazardous air pollutants in Seattle | CHANG-FU WU ; Larson T.V.; Wu S.-y.; Williamson J.; Westberg H.H.; Liu L.-J.S. | Science of the Total Environment | 84 | 77 | |
2017 | Source apportionment of PM2.5 size distribution and composition data from multiple stationary sites using a mobile platform | Liao H.-T.; Chou C.C.-K.; SHENG-HSIU HUANG ; Lu C.-J.; CHIH-CHIEH CHEN ; Hopke P.K.; CHANG-FU WU | Atmospheric Research | 9 | 8 | |
2017 | Source apportionment of urban air pollutants using constrained receptor models with a priori profile information | Liao H.-T.; Yau Y.-C.; Huang C.-S.; Chen N.; Chow J.C.; Watson J.G.; SHIH-WEI TSAI ; Chou C.C.-K.; CHANG-FU WU | Environmental Pollution | 31 | 27 | |