Chun Lin

1.3k total citations
26 papers, 856 citations indexed

About

Chun Lin is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Automotive Engineering. According to data from OpenAlex, Chun Lin has authored 26 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Health, Toxicology and Mutagenesis, 14 papers in Environmental Engineering and 10 papers in Automotive Engineering. Recurrent topics in Chun Lin's work include Air Quality and Health Impacts (21 papers), Air Quality Monitoring and Forecasting (13 papers) and Vehicle emissions and performance (10 papers). Chun Lin is often cited by papers focused on Air Quality and Health Impacts (21 papers), Air Quality Monitoring and Forecasting (13 papers) and Vehicle emissions and performance (10 papers). Chun Lin collaborates with scholars based in United Kingdom, Spain and Australia. Chun Lin's co-authors include Mathew R. Heal, Hao Wu, Stefan Reis, Susanne Steinle, Iain J. Beverland, Sarah R. Leeson, Sean Semple, Marsailidh Twigg, Christine F. Braban and David Harrison and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Chun Lin

24 papers receiving 843 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun Lin United Kingdom 15 638 447 160 139 108 26 856
Mark Davey United States 16 632 1.0× 286 0.6× 189 1.2× 151 1.1× 116 1.1× 21 808
Ario Ruprecht Italy 18 829 1.3× 257 0.6× 179 1.1× 278 2.0× 176 1.6× 46 1.1k
Jianbang Xiang United States 18 880 1.4× 369 0.8× 87 0.5× 109 0.8× 137 1.3× 40 1.1k
Sonja N. Sax United States 16 776 1.2× 234 0.5× 210 1.3× 174 1.3× 95 0.9× 26 979
Sarah Chambliss United States 9 687 1.1× 246 0.6× 180 1.1× 146 1.1× 82 0.8× 16 877
Aileen Yang Norway 14 925 1.4× 451 1.0× 144 0.9× 318 2.3× 84 0.8× 25 1.1k
Marianne Stranger Belgium 15 748 1.2× 320 0.7× 100 0.6× 194 1.4× 92 0.9× 29 903
Amit U. Raysoni United States 14 535 0.8× 288 0.6× 104 0.7× 93 0.7× 152 1.4× 29 630
Jules Kerckhoffs Netherlands 14 801 1.3× 504 1.1× 228 1.4× 182 1.3× 116 1.1× 38 955

Countries citing papers authored by Chun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chun Lin. A scholar is included among the top collaborators of Chun 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 Chun Lin. Chun 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
1.
Buters, Jeroen, Chun Lin, José María Maya‐Manzano, et al.. (2024). Predicting the main pollen season of Broussonetia Papyrifera (paper mulberry) tree. PLoS ONE. 19(2). e0296878–e0296878.
2.
3.
Wang, Wanzhou, Zhihong Zhang, Le Ma, et al.. (2022). Cardiopulmonary benefits of respirator intervention against near road ambient particulate matters in healthy young adults: A randomized, blinded, crossover, multi-city study. Chemosphere. 308(Pt 3). 136437–136437. 4 indexed citations
4.
Delgado-Saborit, Juana María, Shanon Lim, Chris Baker, et al.. (2022). Factors affecting occupational black carbon exposure in enclosed railway stations. Atmospheric Environment. 289. 119301–119301. 3 indexed citations
5.
Lin, Chun, Dayu Hu, Jia Xu, et al.. (2020). The relationship between personal exposure and ambient PM2.5 and black carbon in Beijing. The Science of The Total Environment. 737. 139801–139801. 33 indexed citations
6.
Font, Anna, Anja H. Tremper, Chun Lin, et al.. (2020). Air quality in enclosed railway stations: Quantifying the impact of diesel trains through deployment of multi-site measurement and random forest modelling. Environmental Pollution. 262. 114284–114284. 16 indexed citations
7.
8.
Cherrie, John W., Andrew Apsley, Hilary Cowie, et al.. (2018). Effectiveness of face masks used to protect Beijing residents against particulate air pollution. Occupational and Environmental Medicine. 75(6). 446–452. 128 indexed citations
9.
Lin, Chun, Hao Wu, Neil Ferguson, et al.. (2018). Temporal changes in field calibration relationships for Aeroqual S500 O3 and NO2 sensor-based monitors. Sensors and Actuators B Chemical. 273. 1800–1806. 24 indexed citations
10.
Lin, Chun, Mathew R. Heal, Massimo Vieno, et al.. (2017). Spatiotemporal evaluation of EMEP4UK-WRF v4.3 atmospheric chemistry transport simulations of health-related metrics for NO 2 , O 3 , PM 10 , and PM 2. 5 for 2001–2010. Geoscientific model development. 10(4). 1767–1787. 31 indexed citations
11.
Lin, Chun, et al.. (2016). Temporal persistence of intra-urban spatial contrasts in ambient NO2, O3 and Ox in Edinburgh, UK. Atmospheric Pollution Research. 7(4). 734–741. 25 indexed citations
12.
Butland, Barbara K., Richard Atkinson, Ai Milojevic, et al.. (2016). Myocardial infarction, ST-elevation and non-ST-elevation myocardial infarction and modelled daily pollution concentrations: a case-crossover analysis of MINAP data. Open Heart. 3(2). e000429–e000429. 23 indexed citations
13.
Wu, Hao, Stefan Reis, Chun Lin, & Mathew R. Heal. (2016). Effect of monitoring network design on land use regression models for estimating residential NO2 concentration. Atmospheric Environment. 149. 24–33. 22 indexed citations
14.
Lin, Chun, et al.. (2015). Greater nitrogen dioxide concentrations at child versus adult breathing heights close to urban main road kerbside. Air Quality Atmosphere & Health. 9(6). 589–595. 20 indexed citations
15.
Wu, Hao, Stefan Reis, Chun Lin, Iain J. Beverland, & Mathew R. Heal. (2015). Identifying drivers for the intra-urban spatial variability of airborne particulate matter components and their interrelationships. Atmospheric Environment. 112. 306–316. 43 indexed citations
16.
Steinle, Susanne, Stefan Reis, Clive E. Sabel, et al.. (2014). Personal exposure monitoring of PM 2.5 in indoor and outdoor microenvironments. The Science of The Total Environment. 508(12). 383–394. 256 indexed citations
17.
Ahmed, Imad A. M., John Hamilton−Taylor, Stephen Lofts, et al.. (2013). Testing Copper-Speciation Predictions in Freshwaters over a Wide Range of Metal–Organic Matter Ratios. Environmental Science & Technology. 47(3). 2127808689–2127808689. 27 indexed citations
18.
Lin, Chun, et al.. (2011). Design and laboratory testing of a new flow-through directional passive air sampler for ambient particulate matter. Journal of Environmental Monitoring. 13(3). 753–753. 4 indexed citations
19.
Lin, Chun, et al.. (2010). Field testing of a new flow-through directional passive air sampler applied to monitoring ambient nitrogen dioxide. Journal of Environmental Monitoring. 12(7). 1430–1430. 3 indexed citations
20.
Lin, Chun, Roger Timmis, & Kevin C. Jones. (2009). Further development of a new flow-through directional passive air sampler for monitoring ambient nitrogen dioxide. Journal of Environmental Monitoring. 12(3). 635–641. 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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