Baolei Lyu

479 total citations
20 papers, 344 citations indexed

About

Baolei Lyu is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Baolei Lyu has authored 20 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, Toxicology and Mutagenesis, 9 papers in Atmospheric Science and 9 papers in Environmental Engineering. Recurrent topics in Baolei Lyu's work include Air Quality and Health Impacts (13 papers), Air Quality Monitoring and Forecasting (9 papers) and Atmospheric chemistry and aerosols (9 papers). Baolei Lyu is often cited by papers focused on Air Quality and Health Impacts (13 papers), Air Quality Monitoring and Forecasting (9 papers) and Atmospheric chemistry and aerosols (9 papers). Baolei Lyu collaborates with scholars based in China, United States and United Kingdom. Baolei Lyu's co-authors include Yongtao Hu, Zhaohui Tong, Yutong Cai, Lirong Liang, Yuzhong Zhang, Di Zhang, Frank J. Kelly, Queenie Chan, Wuxiang Xie and Anna Hansell and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Baolei Lyu

19 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baolei Lyu China 8 232 108 86 71 52 20 344
Zhe Mu China 8 310 1.3× 63 0.6× 47 0.5× 36 0.5× 36 0.7× 13 397
Jin Guo China 6 357 1.5× 157 1.5× 91 1.1× 54 0.8× 29 0.6× 13 449
Marcel Langner Germany 9 230 1.0× 211 2.0× 72 0.8× 57 0.8× 20 0.4× 15 459
Hassan Dehdari Rad Iran 8 333 1.4× 121 1.1× 115 1.3× 67 0.9× 24 0.5× 10 419
Francesc Martínez Spain 8 256 1.1× 65 0.6× 124 1.4× 37 0.5× 77 1.5× 11 416
Stefano Marchesi Italy 13 259 1.1× 109 1.0× 87 1.0× 101 1.4× 12 0.2× 23 431
János Bobvos Hungary 8 292 1.3× 95 0.9× 45 0.5× 44 0.6× 14 0.3× 19 375
Sofia Eirini Chatoutsidou Greece 12 330 1.4× 197 1.8× 94 1.1× 54 0.8× 81 1.6× 28 467
Kate Adams United States 7 228 1.0× 71 0.7× 37 0.4× 26 0.4× 51 1.0× 10 377
Marcello Vultaggio Italy 6 268 1.2× 90 0.8× 110 1.3× 45 0.6× 22 0.4× 7 345

Countries citing papers authored by Baolei Lyu

Since Specialization
Citations

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

Fields of papers citing papers by Baolei Lyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baolei Lyu

This figure shows the co-authorship network connecting the top 25 collaborators of Baolei Lyu. A scholar is included among the top collaborators of Baolei Lyu 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 Baolei Lyu. Baolei Lyu 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.
Lyu, Baolei, et al.. (2025). FastCTM (v1.0): Atmospheric chemical transport modelling with a principle-informed neural network for air quality simulations. Geoscientific model development. 18(18). 6295–6312.
2.
Lyu, Baolei, et al.. (2025). CornMFN: A multimodal fusion network for corn phenology stage identification. Smart Agricultural Technology. 12. 101202–101202. 1 indexed citations
3.
Li, Jiachen, Lirong Liang, Baolei Lyu, et al.. (2023). Double trouble: The interaction of PM2.5 and O3 on respiratory hospital admissions. Environmental Pollution. 338. 122665–122665. 23 indexed citations
4.
5.
Liang, Lirong, Yutong Cai, Baolei Lyu, et al.. (2022). Air pollution and hospitalization of patients with idiopathic pulmonary fibrosis in Beijing: a time-series study. Respiratory Research. 23(1). 81–81. 17 indexed citations
6.
Lyu, Baolei, et al.. (2022). Deep-learning spatial principles from deterministic chemical transport models for chemical reanalysis: an application in China for PM 2.5. Geoscientific model development. 15(4). 1583–1594. 3 indexed citations
7.
Lyu, Baolei, Yutong Cai, Zhe Sun, Jiachen Li, & Lirong Liang. (2022). Evaluating temporally decomposed associations between PM2.5 and hospitalisation risks of AECOPD: A case study in Beijing from 2010 to 2019. Atmospheric Pollution Research. 13(4). 101356–101356. 4 indexed citations
8.
9.
Shen, Huizhong, Guofeng Shen, Yilin Chen, et al.. (2021). Increased air pollution exposure among the Chinese population during the national quarantine in 2020. Nature Human Behaviour. 5(2). 239–246. 53 indexed citations
10.
Lyu, Baolei, et al.. (2021). Estimating Geo‐Referenced Cloud‐Base Height With Whole‐Sky Imagers. Earth and Space Science. 8(8). 2 indexed citations
11.
Wang, Lingyu, Baolei Lyu, & Yuqi Bai. (2020). Global aerosol vertical structure analysis by clustering gridded CALIOP aerosol profiles with fuzzy k-means. The Science of The Total Environment. 761. 144076–144076. 3 indexed citations
12.
Wang, Lingyu, Baolei Lyu, Zhu Deng, Jun Liu, & Yuqi Bai. (2020). Improving the estimating accuracy of extinction coefficient of surface aerosol with a new layer-resolved model in China. The Science of The Total Environment. 713. 136443–136443. 2 indexed citations
13.
Lyu, Baolei, et al.. (2020). Aerosol vertical profile variations with seasons, air mass movements and local PM2.5 levels in three large China cities. Atmospheric Environment. 224. 117329–117329. 20 indexed citations
14.
Xu, Lei, Boris V. Schmid, Katharine R. Dean, et al.. (2019). Human plague system associated with rodent diversity and other environmental factors. Royal Society Open Science. 6(6). 190216–190216. 14 indexed citations
15.
Liang, Lirong, Yutong Cai, Benjamin Barratt, et al.. (2019). Associations between daily air quality and hospitalisations for acute exacerbation of chronic obstructive pulmonary disease in Beijing, 2013–17: an ecological analysis. The Lancet Planetary Health. 3(6). e270–e279. 110 indexed citations
16.
17.
Zhang, Zhibin, Qiyong Liu, Baolei Lyu, et al.. (2019). Identifying the spatiotemporal clusters of plague occurrences in China during the Third Pandemic. Integrative Zoology. 15(1). 69–78. 2 indexed citations
18.
Liang, Lirong, Yutong Cai, Benjamin Barratt, et al.. (2018). Air Quality Improvement During 2013-2017 and Hospitalisations for Acute Exacerbation of Chronic Obstructive Pulmonary Disease in Beijing, China. SSRN Electronic Journal. 1 indexed citations
19.
Lyu, Baolei, Yongtao Hu, Howard H. Chang, Armistead G. Russell, & Yuqi Bai. (2017). Daily Estimation of High Resolution PM2.5 Concentrations over BTH area by Fusing MODIS AOD and Ground Observations. EGUGA. 3454. 1 indexed citations
20.
Lyu, Baolei, Yuzhong Zhang, & Yongtao Hu. (2017). Improving PM2.5 Air Quality Model Forecasts in China Using a Bias-Correction Framework. Atmosphere. 8(8). 147–147. 41 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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