Wei‐Chung Su

902 total citations
45 papers, 691 citations indexed

About

Wei‐Chung Su is a scholar working on Health, Toxicology and Mutagenesis, Pulmonary and Respiratory Medicine and Electrical and Electronic Engineering. According to data from OpenAlex, Wei‐Chung Su has authored 45 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Health, Toxicology and Mutagenesis, 21 papers in Pulmonary and Respiratory Medicine and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Wei‐Chung Su's work include Air Quality and Health Impacts (22 papers), Inhalation and Respiratory Drug Delivery (19 papers) and Aerosol Filtration and Electrostatic Precipitation (11 papers). Wei‐Chung Su is often cited by papers focused on Air Quality and Health Impacts (22 papers), Inhalation and Respiratory Drug Delivery (19 papers) and Aerosol Filtration and Electrostatic Precipitation (11 papers). Wei‐Chung Su collaborates with scholars based in United States, Russia and China. Wei‐Chung Su's co-authors include Yung Sung Cheng, Yung‐Sung Cheng, Maureen D. Donovan, Yue Zhou, Anne Buu, James H. Vincent, Jinxiang Xi, Hsien‐Chang Lin, Bon Ki Ku and Pramod Kulkarni and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and International Journal of Environmental Research and Public Health.

In The Last Decade

Wei‐Chung Su

43 papers receiving 676 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei‐Chung Su United States 17 361 193 177 128 91 45 691
Kuo-Hsi Cheng United States 9 404 1.1× 170 0.9× 122 0.7× 117 0.9× 59 0.6× 13 530
Y.S. Cheng United States 11 269 0.7× 95 0.5× 166 0.9× 82 0.6× 35 0.4× 34 512
Arkadiusz Moskal Poland 12 226 0.6× 242 1.3× 55 0.3× 80 0.6× 31 0.3× 52 505
František Lízal Czechia 16 482 1.3× 211 1.1× 73 0.4× 163 1.3× 46 0.5× 57 659
Jacky A. Rosati United States 11 257 0.7× 122 0.6× 127 0.7× 113 0.9× 20 0.2× 20 795
G. M. Schum United States 8 939 2.6× 300 1.6× 304 1.7× 128 1.0× 113 1.2× 12 1.1k
Ali A. Rostami United States 12 288 0.8× 78 0.4× 192 1.1× 79 0.6× 103 1.1× 22 502
Renate Winkler-Heil Austria 15 311 0.9× 88 0.5× 292 1.6× 34 0.3× 54 0.6× 32 690
B. Grgic Canada 9 620 1.7× 314 1.6× 45 0.3× 291 2.3× 49 0.5× 10 787
Tevfik Gemci United States 13 417 1.2× 266 1.4× 71 0.4× 145 1.1× 37 0.4× 22 638

Countries citing papers authored by Wei‐Chung Su

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Chung Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Chung Su. 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 Wei‐Chung Su. The network helps show where Wei‐Chung Su may publish in the future.

Co-authorship network of co-authors of Wei‐Chung Su

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Chung Su. A scholar is included among the top collaborators of Wei‐Chung Su 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 Wei‐Chung Su. Wei‐Chung Su 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
3.
Zhang, Kai, Weitian Tong, Fangyu Li, et al.. (2024). Unmasking the sky: high-resolution PM2.5 prediction in Texas using machine learning techniques. Journal of Exposure Science & Environmental Epidemiology. 34(5). 814–820. 1 indexed citations
4.
Guo, Chunyu, Erjia Ge, Manzhu Yu, et al.. (2023). Impact of heat on emergency hospital admissions related to kidney diseases in Texas: Uncovering racial disparities. The Science of The Total Environment. 909. 168377–168377. 3 indexed citations
5.
Lin, Hsien‐Chang, et al.. (2023). An Exploratory Study on Strategies Adopted by Parents Who Use E-Cigarettes to Negotiate Risk Perceptions of Their Children’s Secondhand Exposure and Parental Role Modeling. International Journal of Mental Health and Addiction. 23(1). 207–218. 2 indexed citations
6.
Su, Wei‐Chung, et al.. (2023). From Dust to Disease: A Review of Respirable Coal Mine Dust Lung Deposition and Advances in CFD Modeling. Minerals. 13(10). 1311–1311. 4 indexed citations
7.
Su, Wei‐Chung, et al.. (2023). Estimation of Health Risks Caused by Metals Contained in E-Cigarette Aerosol through Passive Vaping. Toxics. 11(8). 684–684. 4 indexed citations
8.
Buu, Anne, et al.. (2022). Home e-cigarette rules and youth's vulnerability to initiate and sustain e-cigarette use. Preventive Medicine. 164. 107334–107334. 7 indexed citations
9.
Moore, Katie L., Wei‐Chung Su, George L. Delclos, et al.. (2022). Chemical explosion, COVID-19, and environmental justice: Insights from low-cost air quality sensors. The Science of The Total Environment. 849. 157881–157881. 10 indexed citations
10.
Lin, Hsien‐Chang, Anne Buu, & Wei‐Chung Su. (2022). Disposable E-Cigarettes and Associated Health Risks: An Experimental Study. International Journal of Environmental Research and Public Health. 19(17). 10633–10633. 19 indexed citations
11.
Su, Wei‐Chung, et al.. (2021). Estimation of the dose of electronic cigarette chemicals deposited in human airways through passive vaping. Journal of Exposure Science & Environmental Epidemiology. 31(6). 1008–1016. 20 indexed citations
12.
Su, Wei‐Chung, Jinho Lee, Jinxiang Xi, & Kai Zhang. (2021). Investigation of Mask Efficiency for Loose-fitting Masks against Ultrafine Particles and Effect on Airway Deposition Efficiency. Aerosol and Air Quality Research. 22(1). 210228–210228. 9 indexed citations
13.
Su, Wei‐Chung, et al.. (2020). Deposition of E‐cigarette aerosol in human airways through passive vaping. Indoor Air. 31(2). 348–356. 10 indexed citations
14.
Cheng, Yung Sung, Yue Zhou, & Wei‐Chung Su. (2014). Deposition of Particles in Human Mouth–Throat Replicas and a USP Induction Port. Journal of Aerosol Medicine and Pulmonary Drug Delivery. 28(3). 147–155. 20 indexed citations
15.
Su, Wei‐Chung, et al.. (2012). Evaluation of physical sampling efficiency for cyclone-based personal bioaerosol samplers in moving air environments. Journal of Environmental Monitoring. 14(9). 2430–2430. 16 indexed citations
16.
Cheng, Yung Sung, et al.. (2011). Performance evaluation of two personal bioaerosol samplers. Journal of Environmental Science and Health Part A. 46(14). 1690–1698. 9 indexed citations
17.
Zhou, Yue, Wei‐Chung Su, & Yung Sung Cheng. (2008). Fiber Deposition in the Tracheobronchial Region: Deposition Equations. Inhalation Toxicology. 20(13). 1191–1198. 14 indexed citations
18.
Zhou, Yue, Wei‐Chung Su, & Yung Sung Cheng. (2007). Fiber Deposition in the Tracheobronchial Region: Experimental Measurements. Inhalation Toxicology. 19(13). 1071–1078. 23 indexed citations
19.
Su, Wei‐Chung & Yung Sung Cheng. (2006). Fiber Deposition Pattern in Two Human Respiratory Tract Replicas. Inhalation Toxicology. 18(10). 749–760. 28 indexed citations
20.
Hopke, Philip K., Paul A. Baron, Goodarz Ahmadi, et al.. (2005). Fiber Classification and the Influence of Average Air Humidity. Aerosol Science and Technology. 39(11). 1056–1063. 21 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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