Cheng-En Yang

590 total citations
23 papers, 378 citations indexed

About

Cheng-En Yang is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Cheng-En Yang has authored 23 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atmospheric Science, 12 papers in Global and Planetary Change and 7 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Cheng-En Yang's work include Atmospheric chemistry and aerosols (10 papers), Air Quality and Health Impacts (6 papers) and Atmospheric and Environmental Gas Dynamics (5 papers). Cheng-En Yang is often cited by papers focused on Atmospheric chemistry and aerosols (10 papers), Air Quality and Health Impacts (6 papers) and Atmospheric and Environmental Gas Dynamics (5 papers). Cheng-En Yang collaborates with scholars based in United States, China and Taiwan. Cheng-En Yang's co-authors include Joshua S. Fu, Yang Liu, Jennifer Stowell, Matthew J. Strickland, Howard H. Chang, Eri Saikawa, Guannan Geng, Marat Khairoutdinov, Simone Tilmes and Xinyi Dong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Cheng-En Yang

21 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng-En Yang United States 11 228 180 170 40 29 23 378
Jacinthe Racine Canada 9 224 1.0× 206 1.1× 139 0.8× 64 1.6× 33 1.1× 10 373
Benjamin Brown‐Steiner United States 9 209 0.9× 152 0.8× 286 1.7× 40 1.0× 12 0.4× 13 368
Donald Schweizer United States 13 174 0.8× 229 1.3× 162 1.0× 66 1.6× 62 2.1× 30 428
Maximilien Desservettaz Australia 12 170 0.7× 153 0.8× 235 1.4× 58 1.4× 29 1.0× 23 365
Steven J. Brey United States 10 271 1.2× 171 0.9× 196 1.2× 34 0.8× 46 1.6× 13 367
Radenko Pavlovic Canada 10 321 1.4× 208 1.2× 228 1.3× 85 2.1× 41 1.4× 16 459
Élise-Andrée Guérette Australia 14 241 1.1× 209 1.2× 254 1.5× 64 1.6× 30 1.0× 25 443
Lerato Shikwambana South Africa 12 310 1.4× 120 0.7× 190 1.1× 107 2.7× 15 0.5× 39 466
Mick Meyer Australia 8 222 1.0× 225 1.3× 109 0.6× 50 1.3× 43 1.5× 12 458

Countries citing papers authored by Cheng-En Yang

Since Specialization
Citations

This map shows the geographic impact of Cheng-En Yang'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 Cheng-En Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng-En Yang more than expected).

Fields of papers citing papers by Cheng-En Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-En Yang. 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 Cheng-En Yang. The network helps show where Cheng-En Yang may publish in the future.

Co-authorship network of co-authors of Cheng-En Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng-En Yang. A scholar is included among the top collaborators of Cheng-En Yang 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 Cheng-En Yang. Cheng-En Yang 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.
2.
Yin, Xinhua, et al.. (2025). Simulation modeling of cotton yield responses to management strategies under climate change: insights from DSSAT. Journal of Plant Nutrition. 48(11). 1972–1986.
3.
Yang, Po‐Sheng, et al.. (2022). Prognostic Comparison between Oncotype DX® and a 23-Gene Classifier, RecurIndex®, on the Taiwan Breast Cancer Population. Diagnostics. 12(11). 2850–2850. 1 indexed citations
4.
Yang, Cheng-En, Joshua S. Fu, Yongqiang Liu, Xinyi Dong, & Yang Liu. (2022). Projections of future wildfires impacts on air pollutants and air toxics in a changing climate over the western United States. Environmental Pollution. 304. 119213–119213. 16 indexed citations
5.
Zarnetske, Phoebe L., Jessica Gurevitch, Janet Franklin, et al.. (2021). Potential ecological impacts of climate intervention by reflecting sunlight to cool Earth. Proceedings of the National Academy of Sciences. 118(15). 60 indexed citations
6.
Liu, Yongqiang, Yang Liu, Joshua S. Fu, et al.. (2021). Projection of future wildfire emissions in western USA under climate change: contributions from changes in wildfire, fuel loading and fuel moisture. International Journal of Wildland Fire. 31(1). 1–13. 23 indexed citations
7.
Yang, Cheng-En, et al.. (2021). Mobility Enhancement in P-Type SnO Thin-Film Transistors via Ni Incorporation by Co-Sputtering. IEEE Electron Device Letters. 43(2). 228–231. 9 indexed citations
8.
Stowell, Jennifer, Cheng-En Yang, Joshua S. Fu, et al.. (2021). Asthma exacerbation due to climate change-induced wildfire smoke in the Western US. Environmental Research Letters. 17(1). 14023–14023. 20 indexed citations
9.
Stowell, Jennifer, Guannan Geng, Eri Saikawa, et al.. (2019). Associations of wildfire smoke PM2.5 exposure with cardiorespiratory events in Colorado 2011–2014. Environment International. 133(Pt A). 105151–105151. 118 indexed citations
10.
Yang, Cheng-En, Jiafu Mao, Forrest M. Hoffman, et al.. (2018). Uncertainty Quantification of Extratropical Forest Biomass in CMIP5 Models over the Northern Hemisphere. Scientific Reports. 8(1). 10962–10962. 8 indexed citations
11.
Dong, Xinyi, et al.. (2018). Analysis of the Co-existence of Long-range Transport Biomass Burning and Dust in the Subtropical West Pacific Region. Scientific Reports. 8(1). 8962–8962. 18 indexed citations
12.
Tan, Jiani, Joshua S. Fu, Frank Dentener, et al.. (2018). Source contributions to sulfur and nitrogen deposition – an HTAP II multi-model study on hemispheric transport. Atmospheric chemistry and physics. 18(16). 12223–12240. 22 indexed citations
13.
Tan, Jiani, Joshua S. Fu, Kan Huang, et al.. (2017). Effectiveness of SO2 emission control policy on power plants in the Yangtze River Delta, China—post-assessment of the 11th Five-Year Plan. Environmental Science and Pollution Research. 24(9). 8243–8255. 12 indexed citations
14.
Minoura, Hiroaki, Judith C. Chow, John G. Watson, et al.. (2016). Vertical Circulation of Atmospheric Pollutants near Mountains during a Southern California Ozone Episode. Aerosol and Air Quality Research. 16(10). 2396–2404. 9 indexed citations
15.
Wong, David, Cheng-En Yang, Joshua S. Fu, Kwai Wong, & Yang Gao. (2015). An approach to enhance pnetCDF performance in environmental modeling applications. Geoscientific model development. 8(4). 1033–1046. 5 indexed citations
16.
Chen, Jen‐Ping, Cheng-En Yang, & I‐Chun Tsai. (2015). Estimation of foreign versus domestic contributions to Taiwan's air pollution. Atmospheric Environment. 112. 9–19. 12 indexed citations
17.
Khairoutdinov, Marat & Cheng-En Yang. (2013). Cloud-resolving modelling of aerosol indirect effects in idealised radiative-convective equilibrium with interactive and fixed sea surface temperature. Atmospheric chemistry and physics. 13(8). 4133–4144. 16 indexed citations
18.
19.
Ma, Jun, et al.. (2011). [Experimental study on Raman spectroscopy of alkane gases in simulated deep-sea extreme environments].. PubMed. 31(2). 402–7. 2 indexed citations
20.
Han, Xu, et al.. (2008). A simple nano-scale patterning technology for FinFET fabrication. 5376. 1340–1342. 1 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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