Zhongyuan Mi

768 total citations
15 papers, 581 citations indexed

About

Zhongyuan Mi is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Zhongyuan Mi has authored 15 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Health, Toxicology and Mutagenesis, 4 papers in Atmospheric Science and 4 papers in Environmental Engineering. Recurrent topics in Zhongyuan Mi's work include Air Quality and Health Impacts (5 papers), Allergic Rhinitis and Sensitization (4 papers) and Air Quality Monitoring and Forecasting (3 papers). Zhongyuan Mi is often cited by papers focused on Air Quality and Health Impacts (5 papers), Allergic Rhinitis and Sensitization (4 papers) and Air Quality Monitoring and Forecasting (3 papers). Zhongyuan Mi collaborates with scholars based in United States, Netherlands and Italy. Zhongyuan Mi's co-authors include Panos G. Georgopoulos, Xiang Ren, Ting Cai, Leonard Bielory, Yong Zhang, Alan Robock, Christopher G. Nolte, Kathleen Black, Pamela Ohman‐Strickland and Robert Laumbach and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Journal of the American College of Cardiology.

In The Last Decade

Zhongyuan Mi

14 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongyuan Mi United States 10 345 149 125 119 119 15 581
Chao Zhu China 19 576 1.7× 178 1.2× 27 0.2× 27 0.2× 432 3.6× 44 961
G. B. Hedegaard Denmark 10 421 1.2× 203 1.4× 44 0.4× 13 0.1× 405 3.4× 16 709
Kai Xiao China 11 164 0.5× 48 0.3× 16 0.1× 21 0.2× 110 0.9× 32 437
Carlos Blanco‐Alegre Spain 16 343 1.0× 138 0.9× 54 0.4× 5 0.0× 226 1.9× 31 497
Helle Vibeke Andersen Denmark 19 546 1.6× 180 1.2× 11 0.1× 55 0.5× 292 2.5× 49 978
F. Oduber Spain 17 396 1.1× 144 1.0× 52 0.4× 4 0.0× 233 2.0× 30 593
P. Hofschreuder Netherlands 11 276 0.8× 97 0.7× 9 0.1× 76 0.6× 150 1.3× 38 586
Álvaro Valdebenito Norway 5 321 0.9× 134 0.9× 7 0.1× 20 0.2× 432 3.6× 11 602
Marielle Franchi France 9 246 0.7× 89 0.6× 22 0.2× 6 0.1× 36 0.3× 12 446
Roland Sarda‐Estève France 24 1.3k 3.9× 597 4.0× 44 0.4× 28 0.2× 1.8k 15.1× 63 2.1k

Countries citing papers authored by Zhongyuan Mi

Since Specialization
Citations

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

Fields of papers citing papers by Zhongyuan Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongyuan Mi

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

All Works

15 of 15 papers shown
1.
Ren, Xiang, Zhongyuan Mi, & Panos G. Georgopoulos. (2023). Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches. Journal of Exposure Science & Environmental Epidemiology. 34(2). 197–207. 6 indexed citations
2.
Ren, Xiang, Ting Cai, Zhongyuan Mi, et al.. (2022). Modeling past and future spatiotemporal distributions of airborne allergenic pollen across the contiguous United States. SHILAP Revista de lepidopterología. 3. 959594–959594. 8 indexed citations
3.
Moreyra, Abel E., Zhongyuan Mi, Nora M. Cosgrove, et al.. (2022). THE IMPACT OF EXPOSURE TO TRANSPORTATION NOISE ON THE RATES OF MYOCARDIAL INFARCTION IN NEW JERSEY. Journal of the American College of Cardiology. 79(9). 1148–1148. 1 indexed citations
4.
Ren, Xiang, Zhongyuan Mi, Ting Cai, Christopher G. Nolte, & Panos G. Georgopoulos. (2022). Flexible Bayesian Ensemble Machine Learning Framework for Predicting Local Ozone Concentrations. Environmental Science & Technology. 56(7). 3871–3883. 35 indexed citations
5.
Zhang, Xueying, Allan C. Just, Hsiao‐Hsien Leon Hsu, et al.. (2020). A hybrid approach to predict daily NO2 concentrations at city block scale. The Science of The Total Environment. 761. 143279–143279. 15 indexed citations
6.
Ren, Xiang, Zhongyuan Mi, & Panos G. Georgopoulos. (2020). Comparison of Machine Learning and Land Use Regression for fine scale spatiotemporal estimation of ambient air pollution: Modeling ozone concentrations across the contiguous United States. Environment International. 142. 105827–105827. 158 indexed citations
7.
Graber, Judith M., Robert Laumbach, Kathleen Black, et al.. (2018). Per and polyfluoroalkyl substances (PFAS) blood levels after contamination of a community water supply and comparison with 2013–2014 NHANES. Journal of Exposure Science & Environmental Epidemiology. 29(2). 172–182. 98 indexed citations
8.
Cai, Ting, Yong Zhang, Xiang Ren, et al.. (2018). Development of a semi-mechanistic allergenic pollen emission model. The Science of The Total Environment. 653. 947–957. 9 indexed citations
9.
Kuan, Pei Fen, Zhongyuan Mi, Panos G. Georgopoulos, et al.. (2018). Enhanced exposure assessment and genome-wide DNA methylation in World Trade Center disaster responders. European Journal of Cancer Prevention. 28(3). 225–233. 17 indexed citations
10.
Bielory, Leonard, Yong Zhang, Zhongyuan Mi, Ting Cai, & Panos G. Georgopoulos. (2016). Tree (Oak and Birch) Season and Climate Change in the Continental United States (CONUS) from 2000 to 2050. Journal of Allergy and Clinical Immunology. 137(2). AB122–AB122.
11.
Pavilonis, Brian, Paul J. Lioy, Stefano Guazzetti, et al.. (2014). Manganese concentrations in soil and settled dust in an area with historic ferroalloy production. Journal of Exposure Science & Environmental Epidemiology. 25(4). 443–450. 46 indexed citations
12.
Mukherjee, Dwaipayan, Ting Cai, Zhongyuan Mi, et al.. (2014). Modeling population exposures to silver nanoparticles present in consumer products. Journal of Nanoparticle Research. 16(11). 28 indexed citations
13.
Zhang, Yong, Leonard Bielory, Ting Cai, Zhongyuan Mi, & Panos G. Georgopoulos. (2014). Predicting onset and duration of airborne allergenic pollen season in the United States. Atmospheric Environment. 103. 297–306. 42 indexed citations
14.
Zhang, Yong, Leonard Bielory, Zhongyuan Mi, et al.. (2014). Allergenic pollen season variations in the past two decades under changing climate in the United States. Global Change Biology. 21(4). 1581–1589. 90 indexed citations
15.
Hall, Megan N., Xinhua Liu, Vesna Slavkovich, et al.. (2009). Influence of Cobalamin on Arsenic Metabolism in Bangladesh. Environmental Health Perspectives. 117(11). 1724–1729. 28 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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