Yanqi Huangfu

467 total citations
19 papers, 339 citations indexed

About

Yanqi Huangfu is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Yanqi Huangfu has authored 19 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Health, Toxicology and Mutagenesis, 15 papers in Atmospheric Science and 11 papers in Environmental Engineering. Recurrent topics in Yanqi Huangfu's work include Air Quality and Health Impacts (16 papers), Atmospheric chemistry and aerosols (15 papers) and Air Quality Monitoring and Forecasting (11 papers). Yanqi Huangfu is often cited by papers focused on Air Quality and Health Impacts (16 papers), Atmospheric chemistry and aerosols (15 papers) and Air Quality Monitoring and Forecasting (11 papers). Yanqi Huangfu collaborates with scholars based in China, United States and United Kingdom. Yanqi Huangfu's co-authors include Yinchang Feng, Guoliang Shi, Yingze Tian, Jiayuan Liu, Jiao Xu, Yufen Zhang, Qili Dai, Danlin Song, Jing Ding and Xing Peng and has published in prestigious journals such as The Science of The Total Environment, Chemosphere and Atmospheric Environment.

In The Last Decade

Yanqi Huangfu

18 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanqi Huangfu China 9 301 245 149 64 44 19 339
Massimo Berico Italy 9 245 0.8× 194 0.8× 108 0.7× 69 1.1× 67 1.5× 13 301
Tingkun Li China 9 273 0.9× 239 1.0× 135 0.9× 77 1.2× 60 1.4× 15 344
Montse Varea Spain 10 330 1.1× 238 1.0× 158 1.1× 95 1.5× 59 1.3× 12 373
Florie Chevrier France 7 380 1.3× 254 1.0× 216 1.4× 87 1.4× 55 1.3× 10 430
Vasiliki Vasilatou Greece 10 257 0.9× 200 0.8× 139 0.9× 58 0.9× 89 2.0× 15 331
E. Reyes Mexico 10 312 1.0× 230 0.9× 131 0.9× 102 1.6× 49 1.1× 15 385
Véronique Ghersi France 5 331 1.1× 287 1.2× 136 0.9× 107 1.7× 81 1.8× 10 387
Odon Sánchez-Ccoyllo Brazil 8 276 0.9× 234 1.0× 73 0.5× 78 1.2× 58 1.3× 8 345
Boualem Mesbah France 8 203 0.7× 131 0.5× 123 0.8× 61 1.0× 23 0.5× 11 251
Milena Stracquadanio Italy 9 224 0.7× 145 0.6× 82 0.6× 46 0.7× 60 1.4× 19 283

Countries citing papers authored by Yanqi Huangfu

Since Specialization
Citations

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

Fields of papers citing papers by Yanqi Huangfu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanqi Huangfu

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

All Works

19 of 19 papers shown
1.
Huangfu, Yanqi, Yingze Tian, Yuting Wei, et al.. (2025). Variations of source and aerosol composition over ten years: Implications for Clean Air Action Plan in a rapidly developing megacity. Journal of Environmental Sciences. 158. 633–643.
2.
Huangfu, Yanqi, et al.. (2024). Characteristic Analysis and Health Risk Assessment of PM2.5 and VOCs in Tianjin Based on High-Resolution Online Data. Toxics. 12(9). 622–622. 2 indexed citations
3.
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
4.
5.
Ding, Jing, Qili Dai, Yufen Zhang, et al.. (2020). Air humidity affects secondary aerosol formation in different pathways. The Science of The Total Environment. 759. 143540–143540. 56 indexed citations
6.
Liu, Jiayuan, et al.. (2020). [PM2.5 Pollution Characteristics During Winter and Summer in the Hohhot-Baotou-Ordos Region, China].. PubMed. 41(1). 31–38. 1 indexed citations
7.
Xue, Qianqian, Xiang Wang, Danlin Song, et al.. (2019). Comparative study of PM10-bound heavy metals and PAHs during six years in a Chinese megacity: Compositions, sources, and source-specific risks. Ecotoxicology and Environmental Safety. 186. 109740–109740. 29 indexed citations
8.
Xie, Yang, et al.. (2019). [Source Apportionment and Heath Risk Quantification of Heavy Metals in PM2.5 in Yangzhou, China].. PubMed. 40(2). 540–547. 4 indexed citations
9.
Peng, Xing, Jian Gao, Guoliang Shi, et al.. (2018). A Preliminary Assessment of the Impacts of Multiple Temporal-scale Variations in Particulate Matter on its Source Apportionment. Biogeosciences (European Geosciences Union). 2 indexed citations
10.
Wen, Jie, Guoliang Shi, Yingze Tian, et al.. (2018). Source contributions to water-soluble organic carbon and water-insoluble organic carbon in PM2.5 during Spring Festival, heating and non-heating seasons. Ecotoxicology and Environmental Safety. 164. 172–180. 29 indexed citations
11.
Dai, Qili, Xiaohui Bi, Yanqi Huangfu, et al.. (2018). A size-resolved chemical mass balance (SR-CMB) approach for source apportionment of ambient particulate matter by single element analysis. Atmospheric Environment. 197. 45–52. 17 indexed citations
12.
Peng, Xing, Xurong Shi, Guoliang Shi, et al.. (2018). Source apportionment using receptor model based on aerosol mass spectra and 1 h resolution chemical dataset in Tianjin, China. Atmospheric Environment. 198. 387–397. 23 indexed citations
13.
Huangfu, Yanqi, et al.. (2017). Indoor Levels of Formaldehyde and Other Pollutants and Relationship to Air Exchange Rates and Human Activities. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
14.
Shi, Guoliang, Xing Peng, Yanqi Huangfu, et al.. (2017). Quantification of source impact to PM using three-dimensional weighted factor model analysis on multi-site data. Atmospheric Environment. 160. 89–96. 6 indexed citations
15.
Tian, Yingze, Zhimei Xiao, Haiting Wang, et al.. (2017). Influence of the sampling period and time resolution on the PM source apportionment: Study based on the high time-resolution data and long-term daily data. Atmospheric Environment. 165. 301–309. 29 indexed citations
16.
Tian, Yingze, Guoliang Shi, Yanqi Huangfu, et al.. (2016). Seasonal and regional variations of source contributions for PM10 and PM2.5 in urban environment. The Science of The Total Environment. 557-558. 697–704. 47 indexed citations
17.
Tian, Yingze, Gang Chen, Yanqi Huangfu, et al.. (2016). Source regional contributions to PM2.5 in a megacity in China using an advanced source regional apportionment method. Chemosphere. 147. 256–263. 50 indexed citations
18.
Tian, Yingze, Yanqi Huangfu, Guoliang Shi, et al.. (2016). Accuracy of Advanced and Traditional Three-Way Factor Analysis Models for Determining Source Contributions to Particulate Matter. Aerosol and Air Quality Research. 16(10). 2512–2522. 2 indexed citations
19.
Peng, Xing, Guoliang Shi, Jian Gao, et al.. (2016). Characteristics and sensitivity analysis of multiple-time-resolved source patterns of PM2.5 with real time data using Multilinear Engine 2. Atmospheric Environment. 139. 113–121. 31 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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