Ken‐Hui Chang

559 total citations
29 papers, 451 citations indexed

About

Ken‐Hui Chang is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Automotive Engineering. According to data from OpenAlex, Ken‐Hui Chang has authored 29 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 17 papers in Health, Toxicology and Mutagenesis and 10 papers in Automotive Engineering. Recurrent topics in Ken‐Hui Chang's work include Atmospheric chemistry and aerosols (23 papers), Air Quality and Health Impacts (17 papers) and Vehicle emissions and performance (10 papers). Ken‐Hui Chang is often cited by papers focused on Atmospheric chemistry and aerosols (23 papers), Air Quality and Health Impacts (17 papers) and Vehicle emissions and performance (10 papers). Ken‐Hui Chang collaborates with scholars based in Taiwan, Japan and United States. Ken‐Hui Chang's co-authors include Shaw C. Liu, Chein‐Jung Shiu, Charles C.‐K. Chou, Chuan‐Yao Lin, Ho‐Chun Huang, Hyunook Kim, Yi-Pin Lin, Ben‐Jei Tsuang, Chien‐Hung Chen and Chien‐Lung Chen and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Chemosphere.

In The Last Decade

Ken‐Hui Chang

29 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken‐Hui Chang Taiwan 12 326 324 168 105 96 29 451
H. W. Wallace United States 11 456 1.4× 329 1.0× 165 1.0× 184 1.8× 83 0.9× 16 551
Giancarlo Ciarelli Switzerland 15 395 1.2× 357 1.1× 150 0.9× 135 1.3× 116 1.2× 28 497
Ågot K. Watne Sweden 11 334 1.0× 310 1.0× 182 1.1× 159 1.5× 74 0.8× 18 493
Gary McGaughey United States 14 391 1.2× 237 0.7× 114 0.7× 221 2.1× 118 1.2× 25 523
Weiqing Liang China 8 412 1.3× 324 1.0× 213 1.3× 141 1.3× 68 0.7× 15 511
Benjamin C. Schulze United States 12 432 1.3× 389 1.2× 175 1.0× 162 1.5× 84 0.9× 23 541
M. Wang China 6 413 1.3× 421 1.3× 213 1.3× 119 1.1× 130 1.4× 7 530
Qindan Zhu United States 14 557 1.7× 384 1.2× 189 1.1× 307 2.9× 61 0.6× 27 707
Krista Luoma Finland 13 263 0.8× 207 0.6× 133 0.8× 159 1.5× 50 0.5× 20 375
Taehyun Park South Korea 14 395 1.2× 354 1.1× 156 0.9× 166 1.6× 131 1.4× 50 515

Countries citing papers authored by Ken‐Hui Chang

Since Specialization
Citations

This map shows the geographic impact of Ken‐Hui Chang'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 Ken‐Hui Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken‐Hui Chang more than expected).

Fields of papers citing papers by Ken‐Hui Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken‐Hui Chang. 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 Ken‐Hui Chang. The network helps show where Ken‐Hui Chang may publish in the future.

Co-authorship network of co-authors of Ken‐Hui Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ken‐Hui Chang. A scholar is included among the top collaborators of Ken‐Hui Chang 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 Ken‐Hui Chang. Ken‐Hui Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chang, Ken‐Hui, et al.. (2024). Identifying sensitive precursors of ozone formation using photochemical indicators and transition values comprised by continuous automatic monitoring data. Atmospheric Environment. 323. 120416–120416. 1 indexed citations
2.
Chen, Bo‐Yan, et al.. (2023). Simulation and Estimation of the Inter-Source Category and/or Inter-Pollutant Emission Offset Ratios for a Heavy Industry City. Atmosphere. 14(4). 748–748. 1 indexed citations
3.
Chang, Ken‐Hui, et al.. (2023). Role of an Ultra-Large Coal-Fired Power Plant in PM2.5 Pollution in Taiwan. Atmosphere. 15(1). 56–56. 2 indexed citations
4.
Chen, Guan-Fu, et al.. (2023). Modeling of the Spatial Distribution of Forest Carbon Storage in a Tropical/Subtropical Island with Multiple Ecozones. Plants. 12(15). 2777–2777. 1 indexed citations
5.
Kosugi, Yoshiko, et al.. (2022). Dependance of isoprene emission flux on leaf mass per area of <I>Phyllostachys pubescens</I> (moso bamboo). Journal of Agricultural Meteorology. 78(1). 1–7. 1 indexed citations
6.
Kosugi, Yoshiko, et al.. (2021). Isoprene emission characteristics of tall and dwarf bamboos. Atmospheric Environment X. 12. 100136–100136. 2 indexed citations
7.
Chang, Ken‐Hui, et al.. (2021). Impact of meteorology and emission on atmospheric PM2.5 – Using observed concentrations to reduce simulation uncertainty. Atmospheric Environment. 261. 118610–118610. 6 indexed citations
8.
Chen, Chien‐Hung, et al.. (2021). Comparison of the RADM2 and RACM chemical mechanisms in O3 simulations: effect of the photolysis rate constant. Scientific Reports. 11(1). 5024–5024. 9 indexed citations
9.
Lin, Yi-Pin, et al.. (2020). AIR QUALITY MODELING: EFFECT OF LAND USE DATABASE USING REMOTE SENSING DATA. 2(1). 27–34. 1 indexed citations
10.
Chang, Ken‐Hui, et al.. (2019). Long-term (2005–2015) trends analysis of OMI retrieved NO2 columns in Taiwan. Atmospheric Pollution Research. 10(3). 960–970. 6 indexed citations
11.
Chang, Ken‐Hui, et al.. (2019). Simulation and analysis of causes of a haze episode by combining CMAQ-IPR and brute force source sensitivity method. Atmospheric Environment. 218. 117006–117006. 22 indexed citations
12.
Chang, Ken‐Hui, et al.. (2018). Long-term (2005–2015) trend analysis of PM2.5 precursor gas NO2 and SO2 concentrations in Taiwan. Environmental Science and Pollution Research. 25(22). 22136–22152. 31 indexed citations
13.
Chang, Ken‐Hui, et al.. (2014). Modeling direct and indirect effect of long range transport on atmospheric PM2.5 levels. Atmospheric Environment. 89. 1–9. 52 indexed citations
14.
Chang, Ken‐Hui & Chien‐Hung Chen. (2009). MTBE concentration profiles near MTBE manufacturing plant: Modeling approach and modeling uncertainty. Chemosphere. 75(10). 1322–1328. 3 indexed citations
15.
Tseng, Kuo‐Hsin, Chien‐Lung Chen, Min‐Der Lin, Ken‐Hui Chang, & Ben‐Jei Tsuang. (2009). Vertical Profile of Ozone and Accompanying Air Pollutant Concentrations Observed at a Downwind Foothill Site of Industrial and Urban Areas. Aerosol and Air Quality Research. 9(4). 421–434. 10 indexed citations
16.
Chang, Ken‐Hui. (2008). Modeling approach for emission reduction of O3 precursors in Southern Taiwan. Atmospheric Environment. 42(28). 6733–6742. 10 indexed citations
17.
Chou, Charles C.‐K., Shaw C. Liu, Chuan‐Yao Lin, Chein‐Jung Shiu, & Ken‐Hui Chang. (2006). The trend of surface ozone in Taipei, Taiwan, and its causes: Implications for ozone control strategies. Atmospheric Environment. 40(21). 3898–3908. 111 indexed citations
18.
Chang, Ken‐Hui, et al.. (2005). Estimation of biogenic volatile organic compounds emissions in subtropical island—Taiwan. The Science of The Total Environment. 346(1-3). 184–199. 53 indexed citations
19.
Chang, Ken‐Hui, et al.. (1999). Estimating the ozone formation potential of volatile aromatic compounds in vehicle tunnels. Chemosphere. 39(9). 1433–1444. 20 indexed citations
20.
Hsieh, Chu‐Chin, Ken‐Hui Chang, & Liting Wang. (1999). Ambient concentrations of biogenic volatile organic compounds in Southern Taiwan. Chemosphere. 39(5). 731–744. 6 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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