Fei Yao

734 total citations
25 papers, 556 citations indexed

About

Fei Yao is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Fei Yao has authored 25 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health, Toxicology and Mutagenesis, 11 papers in Atmospheric Science and 11 papers in Environmental Engineering. Recurrent topics in Fei Yao's work include Air Quality and Health Impacts (13 papers), Atmospheric chemistry and aerosols (10 papers) and Air Quality Monitoring and Forecasting (7 papers). Fei Yao is often cited by papers focused on Air Quality and Health Impacts (13 papers), Atmospheric chemistry and aerosols (10 papers) and Air Quality Monitoring and Forecasting (7 papers). Fei Yao collaborates with scholars based in China, United Kingdom and Hong Kong. Fei Yao's co-authors include Jian Wu, Weifeng Li, Menglin Si, Jian Peng, Chengyu Zhang, Paul I. Palmer, Xingang Zhou, Huagui Guo, Christoph Knote and Timothy J. Wallington 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

Fei Yao

23 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fei Yao China	13	362	297	290	203	42	25	556
Fang-Ying Gong China	10	364 1.0×	274 0.9×	169 0.6×	390 1.9×	112 2.7×	18	690
Hugo Wai Leung Mak Hong Kong	10	108 0.3×	178 0.6×	122 0.4×	169 0.8×	37 0.9×	12	423
Suli Zhao China	12	522 1.4×	419 1.4×	245 0.8×	181 0.9×	44 1.0×	18	804
Yanyan Gu China	12	193 0.5×	141 0.5×	127 0.4×	219 1.1×	151 3.6×	22	529
Jiankai Wang China	5	349 1.0×	467 1.6×	108 0.4×	157 0.8×	24 0.6×	7	570
Lijun Zhang China	8	330 0.9×	115 0.4×	309 1.1×	84 0.4×	15 0.4×	46	542
Pietro Monforte Italy	13	164 0.5×	164 0.6×	109 0.4×	98 0.5×	15 0.4×	18	349
Alexandra Karambelas United States	9	160 0.4×	77 0.3×	214 0.7×	218 1.1×	21 0.5×	16	400
Meng Huang China	13	133 0.4×	227 0.8×	265 0.9×	297 1.5×	9 0.2×	43	575
Qingzu Luan China	12	215 0.6×	315 1.1×	225 0.8×	327 1.6×	19 0.5×	31	557

Countries citing papers authored by Fei Yao

Since Specialization

Citations

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

Fields of papers citing papers by Fei Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Yao

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

All Works

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20 of 20 papers shown

Yin, Ke, et al.. (2026). Substantial reduction of solar photovoltaic potential in China by an extreme dust event. Communications Earth & Environment. 7(1).

Liu, Jianzheng, Fei Yao, Hongwen Chen, & Hongyan Zhao. (2025). Quantifying the Source–Receptor Relationships of PM2.5 Pollution and Associated Health Impacts among China, South Korea, and Japan: A Dual Perspective and an Interdisciplinary Approach. Environmental Health Perspectives. 133(3-4). 47011–47011. 1 indexed citations

Liao, Fuyuan, et al.. (2024). Upper Limb Motion Intention Recognition Based on sEMG and EMD-LSSVM. Journal of Physics Conference Series. 2872(1). 12051–12051. 1 indexed citations

Marvin, Margaret R., Paul I. Palmer, Fei Yao, Mohd Talib Latif, & Md Firoz Khan. (2024). Uncertainties from biomass burning aerosols in air quality models obscure public health impacts in Southeast Asia. Atmospheric chemistry and physics. 24(6). 3699–3715. 3 indexed citations

Li, Xiao-Dong, et al.. (2023). Varying performance of eight evapotranspiration products with aridity and vegetation greenness across the globe. Frontiers in Environmental Science. 11. 5 indexed citations

Yao, Fei & Paul I. Palmer. (2022). Source Sector Mitigation of Solar Energy Generation Losses Attributable to Particulate Matter Pollution. Environmental Science & Technology. 56(12). 8619–8628. 6 indexed citations

Wu, Jian, et al.. (2021). Exploring common factors influencing PM2.5 and O3 concentrations in the Pearl River Delta: Tradeoffs and synergies. Environmental Pollution. 285. 117138–117138. 47 indexed citations

Palmer, Paul I., et al.. (2021). Seasonal distribution and drivers of surface fine particulate matter and organic aerosol over the Indo-Gangetic Plain. Atmospheric chemistry and physics. 21(14). 10881–10909. 33 indexed citations

Yao, Fei & Paul I. Palmer. (2021). A model framework to reduce bias in ground-level PM2.5 concentrations inferred from satellite-retrieved AOD. Atmospheric Environment. 248. 118217–118217. 5 indexed citations

10.

Guo, Huagui, Weifeng Li, Fei Yao, et al.. (2020). Who are more exposed to PM2.5 pollution: A mobile phone data approach. Environment International. 143. 105821–105821. 38 indexed citations

11.

Guo, Huagui, Qingming Zhan, Hung Chak Ho, et al.. (2020). Coupling mobile phone data with machine learning: How misclassification errors in ambient PM2.5 exposure estimates are produced?. The Science of The Total Environment. 745. 141034–141034. 21 indexed citations

12.

Wu, Jian, et al.. (2019). Impacts of AOD Correction and Spatial Scale on the Correlation between High-Resolution AOD from Gaofen-1 Satellite and In Situ PM2.5 Measurements in Shenzhen City, China. Remote Sensing. 11(19). 2223–2223. 12 indexed citations

13.

Yao, Fei, Menglin Si, Weifeng Li, & Jian Wu. (2018). A multidimensional comparison between MODIS and VIIRS AOD in estimating ground-level PM2.5 concentrations over a heavily polluted region in China. The Science of The Total Environment. 618. 819–828. 59 indexed citations

14.

Wu, Jian, Fei Yao, Weifeng Li, & Menglin Si. (2016). VIIRS-based remote sensing estimation of ground-level PM2.5 concentrations in Beijing–Tianjin–Hebei: A spatiotemporal statistical model. Remote Sensing of Environment. 184. 316–328. 115 indexed citations

15.

Yao, Fei, et al.. (2015). Automatic image classification and retrieval by analyzing plant leaf features.. Journal of Zhejiang A & F University. 32(3). 426–433.

16.

Zhang, Yu, Longqian Chen, Yuchen Wang, et al.. (2015). Research on the Contribution of Urban Land Surface Moisture to the Alleviation Effect of Urban Land Surface Heat Based on Landsat 8 Data. Remote Sensing. 7(8). 10737–10762. 41 indexed citations

17.

Yao, Fei, et al.. (2015). Smart talking robot Xiaotu: participatory library service based on artificial intelligence. Library Hi Tech. 33(2). 245–260. 46 indexed citations

18.

Zhao, Yun, et al.. (2014). BJUT at TREC 2014 Temporal Summarization Track. Text REtrieval Conference. 6 indexed citations

19.

Yao, Fei, et al.. (2011). New Attempt on Real-time Virtual Reference Service ——The Smart Chat Robot of Tsinghua University Library. Shuju fenxi yu zhishi faxian. 27(4). 77–81. 3 indexed citations

20.

Yao, Fei, et al.. (2011). Real-time virtual reference service based on applicable artificial intelligence technologies: The début of the robot Xiaotu at Tsinghua University Library. 4(2). 3 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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