Chang‐Fu Wu

8.9k total citations
102 papers, 2.8k citations indexed

About

Chang‐Fu Wu is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Chang‐Fu Wu has authored 102 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Health, Toxicology and Mutagenesis, 40 papers in Environmental Engineering and 31 papers in Atmospheric Science. Recurrent topics in Chang‐Fu Wu's work include Air Quality and Health Impacts (65 papers), Air Quality Monitoring and Forecasting (36 papers) and Atmospheric chemistry and aerosols (30 papers). Chang‐Fu Wu is often cited by papers focused on Air Quality and Health Impacts (65 papers), Air Quality Monitoring and Forecasting (36 papers) and Atmospheric chemistry and aerosols (30 papers). Chang‐Fu Wu collaborates with scholars based in Taiwan, United States and China. Chang‐Fu Wu's co-authors include Chang‐Chuan Chan, Ho‐Tang Liao, Charles C.‐K. Chou, Ta‐Chen Su, Michael G. Yost, Ram A. Hashmonay, Timothy V. Larson, Bert Brunekreef, Yue Leon Guo and Michael T. Kleinman and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Chang‐Fu Wu

99 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chang‐Fu Wu Taiwan	31	1.8k	916	581	340	300	102	2.8k
Hsiao‐Chi Chuang Taiwan	37	2.6k 1.5×	754 0.8×	487 0.8×	337 1.0×	397 1.3×	236	4.6k
Dimosthenis Sarigiannis Greece	34	2.6k 1.4×	651 0.7×	325 0.6×	251 0.7×	224 0.7×	197	4.2k
Uwe Schlink Germany	35	2.2k 1.2×	1.6k 1.7×	570 1.0×	248 0.7×	432 1.4×	109	3.4k
Jong-Tae Lee South Korea	33	3.0k 1.7×	763 0.8×	291 0.5×	244 0.7×	373 1.2×	176	4.1k
Juana María Delgado-Saborit United Kingdom	30	2.3k 1.3×	734 0.8×	769 1.3×	418 1.2×	244 0.8×	79	2.9k
Kai-Jen Chuang Taiwan	35	3.3k 1.8×	1.1k 1.2×	331 0.6×	339 1.0×	541 1.8×	141	4.4k
Julia C. Fussell United Kingdom	15	2.2k 1.2×	738 0.8×	481 0.8×	386 1.1×	298 1.0×	18	3.0k
Heresh Amini United States	32	2.7k 1.5×	1.1k 1.3×	603 1.0×	259 0.8×	304 1.0×	133	4.0k
S. M. Shiva Nagendra India	24	1.3k 0.7×	925 1.0×	414 0.7×	424 1.2×	137 0.5×	80	2.3k
Spyros Karakitsios Greece	29	1.6k 0.9×	672 0.7×	336 0.6×	286 0.8×	120 0.4×	86	2.4k

Countries citing papers authored by Chang‐Fu Wu

Since Specialization

Citations

This map shows the geographic impact of Chang‐Fu Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chang‐Fu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang‐Fu Wu more than expected).

Fields of papers citing papers by Chang‐Fu Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang‐Fu Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chang‐Fu Wu. The network helps show where Chang‐Fu Wu may publish in the future.

Co-authorship network of co-authors of Chang‐Fu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Fu Wu. A scholar is included among the top collaborators of Chang‐Fu Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chang‐Fu Wu. Chang‐Fu Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Huang, Chun‐Sheng, Fu‐Cheng Wang, Chu‐Chih Chen, et al.. (2025). Estimating and characterizing spatiotemporal distributions of elemental PM2.5 using an ensemble machine learning approach in Taiwan. Atmospheric Pollution Research. 16(5). 102463–102463. 2 indexed citations

Chen, Chu‐Chih, et al.. (2024). Estimating monthly NO2, O3, and SO2 concentrations via an ensemble three-stage procedure with downscaled satellite remote sensing data and ground measurements. Journal of Hazardous Materials. 480. 136392–136392. 3 indexed citations

Huang, Chun‐Sheng, Ho‐Tang Liao, & Chang‐Fu Wu. (2024). Integrating spatially distributed data into Positive Matrix Factorization to identify the hotspots of local emission sources. Atmospheric Research. 307. 107475–107475.

Liao, Ho‐Tang, et al.. (2024). Vertical variation of source-apportioned PM2.5 and selected volatile organic compounds near an elevated expressway in an urban area. Environmental Science and Pollution Research. 31(13). 20477–20487. 2 indexed citations

Tran, Thanh Cong, et al.. (2024). Co-effects of COVID-19 and Meteorology on PM2.5 Decrease in Ho Chi Minh City, Vietnam: A Comparison of 2016–2019 and 2020–2021. Aerosol and Air Quality Research. 24(3). 230186–230186. 1 indexed citations

Lin, Xiaoning, Chang‐Fu Wu, Feng Zheng, et al.. (2023). Supplementation of hyaluronic acid injections with vitamin D improve knee function by attenuating synovial fluid oxidative stress in osteoarthritis patients with vitamin D insufficiency. Frontiers in Nutrition. 10. 1026722–1026722. 5 indexed citations

Chen, Jia‐Kun, Chang‐Fu Wu, & Ta‐Chen Su. (2021). Positive Association between Indoor Gaseous Air Pollution and Obesity: An Observational Study in 60 Households. International Journal of Environmental Research and Public Health. 18(21). 11447–11447. 10 indexed citations

Harada, Kouji H., Kiyoung Lee, Furong Deng, et al.. (2021). Identifying low-PM2.5 exposure commuting routes for cyclists through modeling with the random forest algorithm based on low-cost sensor measurements in three Asian cities. Environmental Pollution. 294. 118597–118597. 17 indexed citations

Liao, Ho‐Tang, et al.. (2019). Vertical distribution of source apportioned PM2.5 using particulate-bound elements and polycyclic aromatic hydrocarbons in an urban area. Journal of Exposure Science & Environmental Epidemiology. 30(4). 659–669. 9 indexed citations

10.

LEE, C, Charles C.‐K. Chou, Hing Cho Cheung, et al.. (2018). Seasonal variation of chemical characteristics of fine particulate matter at a high-elevation subtropical forest in East Asia. Environmental Pollution. 246. 668–677. 25 indexed citations

11.

Wu, Chang‐Fu, Fuhui Shen, Ming‐Jer Tsai, et al.. (2016). Association of short-term exposure to fine particulate matter and nitrogen dioxide with acute cardiovascular effects. The Science of The Total Environment. 569-570. 300–305. 59 indexed citations

12.

Meng, Xia, Li Chen, Jing Cai, et al.. (2015). A land use regression model for estimating the NO2 concentration in shanghai, China. Environmental Research. 137. 308–315. 118 indexed citations

13.

Chen, Bing‐Yu, Hsing Jasmine Chao, Chang‐Fu Wu, et al.. (2014). High ambient Cladosporium spores were associated with reduced lung function in schoolchildren in a longitudinal study. The Science of The Total Environment. 481. 370–376. 32 indexed citations

14.

Chen, Chun, et al.. (2012). Assignment and verification on mechanical parameters of soft tissue in finite element analysis. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 27(1). 27–31. 2 indexed citations

15.

Wu, Chang‐Fu, Yaru Li, I‐Chun Kuo, et al.. (2012). Investigating the association of cardiovascular effects with personal exposure to particle components and sources. The Science of The Total Environment. 431. 176–182. 30 indexed citations

16.

Wu, Chang‐Fu, et al.. (2010). Effects of Personal Exposure to Particulate Matter and Ozone on Arterial Stiffness and Heart Rate Variability in Healthy Adults. American Journal of Epidemiology. 171(12). 1299–1309. 59 indexed citations

17.

Wu, Chang‐Fu, et al.. (2010). Spatial–temporal and cancer risk assessment of selected hazardous air pollutants in Seattle. Environment International. 37(1). 11–17. 23 indexed citations

18.

Lien, Guang‐Wen, C. Chen, & Chang‐Fu Wu. (2007). Analysis of polycyclic aromatic hydrocarbons by liquid chromatography/tandem mass spectrometry using atmospheric pressure chemical ionization or electrospray ionization with tropylium post‐column derivatization. Rapid Communications in Mass Spectrometry. 21(22). 3694–3700. 33 indexed citations

19.

Wu, Chang‐Fu, et al.. (2007). Source apportionment of PM2.5 and selected hazardous air pollutants in Seattle. The Science of The Total Environment. 386(1-3). 42–52. 87 indexed citations

20.

Wu, Chang‐Fu, Michael G. Yost, Ram A. Hashmonay, & Timothy V. Larson. (2004). Applying Open-Path FTIR with Computed Tomography to Evaluate Personal Exposures. Part 2: Experimental Studies. The Annals of Occupational Hygiene. 49(1). 73–83. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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