Jianzhao Bi

1.6k total citations
40 papers, 1.0k citations indexed

About

Jianzhao Bi is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Jianzhao Bi has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Health, Toxicology and Mutagenesis, 32 papers in Environmental Engineering and 17 papers in Atmospheric Science. Recurrent topics in Jianzhao Bi's work include Air Quality and Health Impacts (38 papers), Air Quality Monitoring and Forecasting (31 papers) and Atmospheric chemistry and aerosols (17 papers). Jianzhao Bi is often cited by papers focused on Air Quality and Health Impacts (38 papers), Air Quality Monitoring and Forecasting (31 papers) and Atmospheric chemistry and aerosols (17 papers). Jianzhao Bi collaborates with scholars based in United States, China and Peru. Jianzhao Bi's co-authors include Yang Liu, Avani Wildani, Howard H. Chang, Lance Wallace, Jeremy A. Sarnat, Wenhao Wang, Alexei Lyapustin, Jessica H. Belle, Xiong Liu and Patrick L. Kinney and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Jianzhao Bi

39 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianzhao Bi United States 20 865 729 432 233 101 40 1.0k
Camillo Silibello Italy 16 598 0.7× 383 0.5× 378 0.9× 196 0.8× 118 1.2× 45 791
Luisella Ciancarella Italy 15 556 0.6× 324 0.4× 197 0.5× 203 0.9× 91 0.9× 39 756
Matteo Renzi Italy 16 947 1.1× 455 0.6× 245 0.6× 178 0.8× 112 1.1× 38 1.1k
Shigan Liu China 7 796 0.9× 375 0.5× 407 0.9× 154 0.7× 98 1.0× 8 978
Stefano Zauli Sajani Italy 18 789 0.9× 329 0.5× 303 0.7× 234 1.0× 84 0.8× 42 1.1k
Jules Kerckhoffs Netherlands 14 801 0.9× 504 0.7× 182 0.4× 108 0.5× 228 2.3× 38 955
Yanjun Ma China 22 1.0k 1.2× 456 0.6× 991 2.3× 738 3.2× 147 1.5× 52 1.5k
Natasha Hodas United States 14 501 0.6× 206 0.3× 511 1.2× 335 1.4× 79 0.8× 15 837
Martin Cope Australia 21 584 0.7× 200 0.3× 282 0.7× 268 1.2× 85 0.8× 48 905
Heidar Maleki Iran 13 574 0.7× 319 0.4× 167 0.4× 186 0.8× 73 0.7× 30 800

Countries citing papers authored by Jianzhao Bi

Since Specialization
Citations

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

Fields of papers citing papers by Jianzhao Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianzhao Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Jianzhao Bi. A scholar is included among the top collaborators of Jianzhao Bi 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 Jianzhao Bi. Jianzhao Bi 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.
Bi, Jianzhao, et al.. (2025). Forecasting O3 and NO2 concentrations with spatiotemporally continuous coverage in southeastern China using a Machine learning approach. Environment International. 195. 109249–109249. 4 indexed citations
2.
3.
Bi, Jianzhao, et al.. (2024). Integrating traffic pollution dispersion into spatiotemporal NO2 prediction. The Science of The Total Environment. 925. 171652–171652. 1 indexed citations
4.
Zuidema, Christopher, Jianzhao Bi, Amanda J. Gassett, et al.. (2024). Leveraging low-cost sensors to predict nitrogen dioxide for epidemiologic exposure assessment. Journal of Exposure Science & Environmental Epidemiology. 35(2). 169–179. 3 indexed citations
5.
Wang, Meng, Michael T. Young, Julian Marshall, et al.. (2024). National PM2.5 spatiotemporal model integrating intensive monitoring data and land use regression in a likelihood-based universal kriging framework in the United States: 2000–2019. Environmental Pollution. 366. 125405–125405. 5 indexed citations
6.
Bi, Jianzhao, Christopher Zuidema, Amanda J. Gassett, et al.. (2023). Evaluating low-cost monitoring designs for PM2.5 exposure assessment with a spatiotemporal modeling approach. Environmental Pollution. 343. 123227–123227. 5 indexed citations
7.
Wang, Wenhao, Yuzhi Xi, Jianzhao Bi, et al.. (2023). Wildland Fires Worsened Population Exposure to PM2.5 Pollution in the Contiguous United States. Environmental Science & Technology. 57(48). 19990–19998. 28 indexed citations
8.
Bi, Jianzhao, et al.. (2023). Acute Effects of Ambient Air Pollution on Asthma Emergency Department Visits in Ten U.S. States. Environmental Health Perspectives. 131(4). 47003–47003. 28 indexed citations
9.
Bi, Jianzhao, et al.. (2023). Boosting for regression transfer via importance sampling. International Journal of Data Science and Analytics. 20(1). 75–86. 2 indexed citations
10.
Blanco, Magali N., Jianzhao Bi, Elena Austin, et al.. (2022). Impact of Mobile Monitoring Network Design on Air Pollution Exposure Assessment Models. Environmental Science & Technology. 57(1). 440–450. 19 indexed citations
11.
Bi, Jianzhao, K. Emma Knowland, Christoph A. Keller, & Yang Liu. (2022). Combining Machine Learning and Numerical Simulation for High-Resolution PM2.5 Concentration Forecast. Environmental Science & Technology. 56(3). 1544–1556. 50 indexed citations
12.
Bi, Jianzhao, Christopher Zuidema, Kipruto Kirwa, et al.. (2022). Within-city variation in ambient carbon monoxide concentrations: Leveraging low-cost monitors in a spatiotemporal modeling framework. ISEE Conference Abstracts. 2022(1). 1 indexed citations
13.
Wang, Wenhao, Qingyang Zhu, Jianzhao Bi, et al.. (2021). A machine learning model to estimate ambient PM2.5 concentrations in industrialized highveld region of South Africa. Remote Sensing of Environment. 266. 112713–112713. 22 indexed citations
14.
Bi, Jianzhao, Magali N. Blanco, Amanda J. Gassett, et al.. (2021). Publicly available low-cost sensor measurements for PM2.5 exposure modeling: Guidance for monitor deployment and data selection. Environment International. 158. 106897–106897. 38 indexed citations
15.
Bi, Jianzhao, Lance Wallace, Jeremy A. Sarnat, & Yang Liu. (2021). Characterizing outdoor infiltration and indoor contribution of PM2.5 with citizen-based low-cost monitoring data. Environmental Pollution. 276. 116763–116763. 46 indexed citations
16.
Bi, Jianzhao, Avani Wildani, Howard H. Chang, & Yang Liu. (2020). Incorporating Low-Cost Sensor Measurements into High-Resolution PM2.5 Modeling at a Large Spatial Scale. 3 indexed citations
17.
Vu, Bryan N., et al.. (2020). GOES16-Based Estimation of Hourly PM2.5 Levels during the Camp Fire Wildfire Episode in California. ISEE Conference Abstracts. 2020(1). 1 indexed citations
18.
She, Qiannan, Myungje Choi, Jessica H. Belle, et al.. (2019). Satellite-based estimation of hourly PM2.5 levels during heavy winter pollution episodes in the Yangtze River Delta, China. Chemosphere. 239. 124678–124678. 37 indexed citations
19.
Bi, Jianzhao, Jennifer Stowell, Edmund Seto, et al.. (2019). Contribution of low-cost sensor measurements to the prediction of PM2.5 levels: A case study in Imperial County, California, USA. Environmental Research. 180. 108810–108810. 65 indexed citations
20.
Bi, Jianzhao, Avani Wildani, Yujie Wang, Alexei Lyapustin, & Yang Liu. (2018). Incorporating Snow and Cloud Fractions in Random Forest to Estimate High Resolution PM2.5 Exposures in New York State. ISEE Conference Abstracts. 2018(1). 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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