Haofei Yu

1.6k total citations
49 papers, 1.1k citations indexed

About

Haofei Yu is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Haofei Yu has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Health, Toxicology and Mutagenesis, 24 papers in Atmospheric Science and 24 papers in Environmental Engineering. Recurrent topics in Haofei Yu's work include Air Quality and Health Impacts (36 papers), Atmospheric chemistry and aerosols (24 papers) and Air Quality Monitoring and Forecasting (23 papers). Haofei Yu is often cited by papers focused on Air Quality and Health Impacts (36 papers), Atmospheric chemistry and aerosols (24 papers) and Air Quality Monitoring and Forecasting (23 papers). Haofei Yu collaborates with scholars based in United States, China and United Kingdom. Haofei Yu's co-authors include Armistead G. Russell, Amy L. Stuart, Guoliang Shi, Yinchang Feng, Yingze Tian, Kui Chen, Zhimei Xiao, James A. Mulholland, Athanasios Nenes and Xing Peng and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Haofei Yu

46 papers receiving 1.1k citations

Peers

Haofei Yu

HTM

GPC

Kamal Jyoti Maji India

Taosheng Jin China

Trung-Dung Nghiem Vietnam

Yingchao Lin China

Sunil Gulia India

Lucas Henneman United States

Roberto Sozzi Italy

Néstor Y. Rojas Colombia

Clemens Mensink Belgium

Shahzad Gani United States

Kamal Jyoti Maji India

Haofei Yu

1.1k ×1.5

HTM

381 ×0.7

494 ×1.3

236 ×1.0

GPC

172 ×1.0

Citations per year, relative to Haofei Yu Haofei Yu (= 1×) peers Kamal Jyoti Maji

Countries citing papers authored by Haofei Yu

Since Specialization

Citations

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

Fields of papers citing papers by Haofei Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haofei Yu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Asmar, Rime El, Haofei Yu, Susan O’Neill, et al.. (2025). Formation of Ozone and PM_2.5 in Smoke from Prescribed Burning in the Southeastern United States. ACS ES&T Air. 2(3). 343–357. 1 indexed citations

Yu, Haofei, et al.. (2025). A brief review of methods for determining time-activity patterns in California. Journal of the Air & Waste Management Association. 75(4). 267–285.

Chen, Jiannan, et al.. (2025). Exploring uncertainties in the integrated mass enhancement method for remote sensing retrievals of methane emissions. Waste Management. 200. 114759–114759. 1 indexed citations

Xu, Bo, Haofei Yu, Zongbo Shi, et al.. (2023). Knowledge-guided machine learning reveals pivotal drivers for gas-to-particle conversion of atmospheric nitrate. Environmental Science and Ecotechnology. 19. 100333–100333. 7 indexed citations

Yu, Haofei, Bo Xu, Zhenyu Wang, et al.. (2023). Machine learning coupled structure mining method visualizes the impact of multiple drivers on ambient ozone. Communications Earth & Environment. 4(1). 20 indexed citations

Xiang, Kun, et al.. (2023). Exploring influential factors of CO2 emissions in China’s cities using machine learning techniques. Environmental Science and Pollution Research. 4 indexed citations

Yu, Haofei, et al.. (2023). Unexpected Performance Improvements of Nitrogen Dioxide and Ozone Sensors by Including Carbon Monoxide Sensor Signal. ACS Omega. 8(6). 5917–5924. 10 indexed citations

Wang, Zhenyu, Haofei Yu, Weiqing Liang, et al.. (2022). Ensemble source apportionment of air pollutants and carbon dioxide based on online measurements. Journal of Cleaner Production. 370. 133468–133468. 17 indexed citations

Stevens, Kelly A., Thomas A. Bryer, & Haofei Yu. (2021). Air Quality Enhancement Districts: democratizing data to improve respiratory health. Journal of Environmental Studies and Sciences. 11(4). 702–707. 6 indexed citations

10.

Hu, Yongtao, et al.. (2021). Developing air pollution concentration fields for health studies using multiple methods: Cross-comparison and evaluation. Environmental Research. 207. 112207–112207. 7 indexed citations

11.

Wang, Feng, Haofei Yu, Zhenyu Wang, et al.. (2020). Review of online source apportionment research based on observation for ambient particulate matter. The Science of The Total Environment. 762. 144095–144095. 30 indexed citations

12.

Shen, Huizhong, Yilin Chen, Armistead G. Russell, et al.. (2018). Impacts of rural worker migration on ambient air quality and health in China: From the perspective of upgrading residential energy consumption. Environment International. 113. 290–299. 22 indexed citations

13.

Yu, Haofei, Alex Guenther, Dasa Gu, et al.. (2017). Airborne measurements of isoprene and monoterpene emissions from southeastern U.S. forests. The Science of The Total Environment. 595. 149–158. 18 indexed citations

14.

Yu, Haofei, Armistead G. Russell, James A. Mulholland, & Zhijiong Huang. (2017). Using cell phone location to assess misclassification errors in air pollution exposure estimation. Environmental Pollution. 233. 261–266. 59 indexed citations

15.

Tian, Yingze, Jiayuan Liu, Suqin Han, et al.. (2017). Spatial, seasonal and diurnal patterns in physicochemical characteristics and sources of PM2.5 in both inland and coastal regions within a megacity in China. Journal of Hazardous Materials. 342. 139–149. 51 indexed citations

16.

Shi, Guoliang, Xing Peng, Jiayuan Liu, et al.. (2016). Quantification of long-term primary and secondary source contributions to carbonaceous aerosols. Environmental Pollution. 219. 897–905. 24 indexed citations

17.

Yu, Haofei & Amy L. Stuart. (2016). Exposure and inequality for select urban air pollutants in the Tampa Bay area. The Science of The Total Environment. 551-552. 474–483. 29 indexed citations

18.

Tanner, Jean Paul, Jason L. Salemi, Amy L. Stuart, et al.. (2016). Uncertainty in maternal exposures to ambient PM2.5 and benzene during pregnancy: Sensitivity to exposure estimation decisions. Spatial and Spatio-temporal Epidemiology. 17. 117–129. 7 indexed citations

19.

Tanner, Jean Paul, Jason L. Salemi, Amy L. Stuart, et al.. (2015). Associations between exposure to ambient benzene and PM2.5 during pregnancy and the risk of selected birth defects in offspring. Environmental Research. 142. 345–353. 69 indexed citations

20.

Yu, Haofei & Amy L. Stuart. (2013). Spatiotemporal distributions of ambient oxides of nitrogen, with implications for exposure inequality and urban design. Journal of the Air & Waste Management Association. 63(8). 943–955. 12 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.

Explore authors with similar magnitude of impact