Guan-Yu Lin

594 total citations
28 papers, 451 citations indexed

About

Guan-Yu Lin is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Guan-Yu Lin has authored 28 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Health, Toxicology and Mutagenesis, 15 papers in Environmental Engineering and 11 papers in Atmospheric Science. Recurrent topics in Guan-Yu Lin's work include Air Quality and Health Impacts (16 papers), Air Quality Monitoring and Forecasting (14 papers) and Atmospheric chemistry and aerosols (11 papers). Guan-Yu Lin is often cited by papers focused on Air Quality and Health Impacts (16 papers), Air Quality Monitoring and Forecasting (14 papers) and Atmospheric chemistry and aerosols (11 papers). Guan-Yu Lin collaborates with scholars based in Taiwan, Thailand and India. Guan-Yu Lin's co-authors include Chuen‐Jinn Tsai, Thi-Cuc Le, Sheng-Chieh Chen, Ho‐Wen Chen, Racha Dejchanchaiwong, Shankar G. Aggarwal, Perapong Tekasakul, HungMin Chein, Shuenn-Chin Chang and Sheng-Chieh Chen and has published in prestigious journals such as Journal of Hazardous Materials, Environmental Pollution and Chemosphere.

In The Last Decade

Guan-Yu Lin

27 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guan-Yu Lin Taiwan 13 233 171 158 102 100 28 451
Thi-Cuc Le Taiwan 11 106 0.5× 184 1.1× 171 1.1× 42 0.4× 117 1.2× 29 319
Anssi Arffman Finland 13 64 0.3× 215 1.3× 76 0.5× 80 0.8× 171 1.7× 20 440
K. Janka Finland 12 116 0.5× 129 0.8× 111 0.7× 45 0.4× 51 0.5× 32 334
K. W. Lee South Korea 8 166 0.7× 42 0.2× 27 0.2× 148 1.5× 46 0.5× 19 321
Boris Krasovitov Israel 12 49 0.2× 52 0.3× 53 0.3× 131 1.3× 138 1.4× 37 374
J.A. Gieseke United States 10 125 0.5× 48 0.3× 38 0.2× 140 1.4× 100 1.0× 21 393
O.T. Melo Canada 12 93 0.4× 66 0.4× 60 0.4× 13 0.1× 173 1.7× 19 429
M. Formignani Italy 8 141 0.6× 145 0.8× 84 0.5× 20 0.2× 66 0.7× 11 384
Robert Caldow United States 12 76 0.3× 423 2.5× 201 1.3× 43 0.4× 289 2.9× 21 677
Fredrick H. Shair United States 11 51 0.2× 151 0.9× 162 1.0× 14 0.1× 111 1.1× 18 395

Countries citing papers authored by Guan-Yu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Guan-Yu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guan-Yu Lin. 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 Guan-Yu Lin. The network helps show where Guan-Yu Lin may publish in the future.

Co-authorship network of co-authors of Guan-Yu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Guan-Yu Lin. A scholar is included among the top collaborators of Guan-Yu Lin 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 Guan-Yu Lin. Guan-Yu Lin 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
2.
Lin, Guan-Yu, et al.. (2025). Harnessing AI and advanced modeling for precision ozone control: A data-driven approach to air quality management. Journal of Hazardous Materials. 494. 138709–138709. 2 indexed citations
3.
Mishra, Manisha, Thi-Cuc Le, Guan-Yu Lin, et al.. (2025). A systematic approach to mitigate ozone pollution in northern Taiwan: Evidence from de-pollutant analysis. Environmental Pollution. 382. 126752–126752. 1 indexed citations
4.
Chen, Ho‐Wen, Chien‐Yuan Chen, & Guan-Yu Lin. (2024). Impact assessment of spatial–temporal distribution of riverine dust on air quality using remote sensing data and numerical modeling. Environmental Science and Pollution Research. 31(10). 16048–16065. 1 indexed citations
5.
Mishra, Manisha, Guan-Yu Lin, Thi-Cuc Le, et al.. (2024). Photochemical oxidation of VOCs and their source impact assessment on ozone under de-weather conditions in Western Taiwan. Environmental Pollution. 346. 123662–123662. 10 indexed citations
6.
Lin, Guan-Yu, et al.. (2024). A comprehensive study combing experiment and CFD simulation on the fume hood performance for nanoparticles and isopropanol control. Process Safety and Environmental Protection. 186. 361–375. 2 indexed citations
8.
Lin, Guan-Yu, Yu–Hsiang Cheng, & Racha Dejchanchaiwong. (2023). Insight into Secondary Inorganic Aerosol (SIA) production enhanced by domestic ozone using a machine learning technique. Atmospheric Environment. 316. 120194–120194. 6 indexed citations
9.
Le, Thi-Cuc, et al.. (2023). Long-term field calibration of low-cost metal oxide VOC sensor: Meteorological and interference gas effects. Atmospheric Environment. 310. 119955–119955. 17 indexed citations
10.
Dejchanchaiwong, Racha, Perapong Tekasakul, Thi-Cuc Le, et al.. (2023). Seasonal Field Calibration of Low-Cost PM2.5 Sensors in Different Locations with Different Sources in Thailand. Atmosphere. 14(3). 496–496. 6 indexed citations
11.
Mishra, Manisha, Guan-Yu Lin, Thi-Cuc Le, et al.. (2023). Source-apportionment and spatial distribution analysis of VOCs and their role in ozone formation using machine learning in central-west Taiwan. Environmental Research. 232. 116329–116329. 19 indexed citations
12.
Chen, Ho‐Wen, et al.. (2023). Spatial-temporal evaluation of PM2.5 concentration for health risk reduction strategy development in a basin with different weather patterns. Atmospheric Pollution Research. 14(10). 101884–101884. 1 indexed citations
13.
Lin, Guan-Yu, et al.. (2022). Chang impact analysis of level 3 COVID-19 alert on air pollution indicators using artificial neural network. Ecological Informatics. 69. 101674–101674. 10 indexed citations
14.
Lin, Guan-Yu, et al.. (2022). Spatial-temporal characterization of air pollutants using a hybrid deep learning/Kriging model incorporated with a weather normalization technique. Atmospheric Environment. 289. 119304–119304. 15 indexed citations
15.
Lin, Guan-Yu, et al.. (2015). Ultrafine Particles and PM2.5 at Three Urban Air Monitoring Stations in Northern Taiwan from 2011 to 2013. Aerosol and Air Quality Research. 15(6). 2305–2319. 19 indexed citations
16.
Lin, Guan-Yu, et al.. (2013). High-efficiency wet electrocyclone for removing fine and nanosized particles. Separation and Purification Technology. 114. 99–107. 34 indexed citations
17.
Tsai, Chuen‐Jinn, et al.. (2012). Characteristic of nanoparticles generated from different nano-powders by using different dispersion methods. Journal of Nanoparticle Research. 14(4). 21 indexed citations
18.
Tsai, Chuen‐Jinn, et al.. (2011). Modeling and Validation of Nanoparticle Charging Efficiency of a Single-Wire Corona Unipolar Charger. Aerosol Science and Technology. 45(12). 1468–1479. 17 indexed citations
19.
Lin, Guan-Yu, et al.. (2010). An Online Parallel-Plate Wet Denuder System for Monitoring Acetic Acid Gas. Aerosol and Air Quality Research. 10(5). 479–488. 9 indexed citations
20.
Wu, I. P., et al.. (1991). Plugging Evaluation in the Re-Use of Sewage Effluent by Drip Irrigation. Irrigation and Drainage. 780–786. 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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