Fangzhou Guo

993 total citations · 2 hit papers
17 papers, 487 citations indexed

About

Fangzhou Guo is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Fangzhou Guo has authored 17 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 9 papers in Health, Toxicology and Mutagenesis and 5 papers in Environmental Engineering. Recurrent topics in Fangzhou Guo's work include Atmospheric chemistry and aerosols (12 papers), Air Quality and Health Impacts (9 papers) and Atmospheric Ozone and Climate (6 papers). Fangzhou Guo is often cited by papers focused on Atmospheric chemistry and aerosols (12 papers), Air Quality and Health Impacts (9 papers) and Atmospheric Ozone and Climate (6 papers). Fangzhou Guo collaborates with scholars based in United States, China and Hong Kong. Fangzhou Guo's co-authors include Zhe Chen, Fu Xiao, Jinyue Yan, Xiaohui Bi, Qili Dai, Yinchang Feng, Congbo Song, Yufen Zhang, Linxuan Li and Bowen Liu and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and Renewable and Sustainable Energy Reviews.

In The Last Decade

Fangzhou Guo

15 papers receiving 475 citations

Hit Papers

Interpretable machine lea... 2022 2026 2023 2024 2023 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Interpretable machine learning for building energy management: A state-of-the-art review
    2023 188 citations Zhe Chen, Fu Xiao et al. Advances in Applied Energy profile →
  2. Revealing Drivers of Haze Pollution by Explainable Machine Learning
    2022 156 citations Qili Dai, Congbo Song et al. Environmental Science & Technology Letters profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangzhou Guo United States 8 202 182 168 100 95 17 487
Kryštof Eben Czechia 11 126 0.6× 312 1.7× 166 1.0× 75 0.8× 103 1.1× 31 534
Ebrahim Eslami United States 8 196 1.0× 288 1.6× 235 1.4× 15 0.1× 89 0.9× 13 450
Emil Pelikán Czechia 11 107 0.5× 206 1.1× 157 0.9× 32 0.3× 62 0.7× 26 549
Jaroslav Resler Czechia 14 138 0.7× 369 2.0× 200 1.2× 130 1.3× 137 1.4× 31 512
Nur’atiah Zaini Malaysia 12 112 0.6× 402 2.2× 176 1.0× 24 0.2× 148 1.6× 28 588
Huibin Zeng China 13 73 0.4× 215 1.2× 184 1.1× 16 0.2× 63 0.7× 20 465
Pak Lun Fung Finland 15 152 0.8× 357 2.0× 288 1.7× 23 0.2× 95 1.0× 34 590
Laetitia Mottet United Kingdom 10 84 0.4× 314 1.7× 97 0.6× 206 2.1× 39 0.4× 12 556
H.S. Bagiorgas Greece 10 67 0.3× 483 2.7× 146 0.9× 210 2.1× 61 0.6× 13 812
Xinghan Xu China 10 76 0.4× 186 1.0× 237 1.4× 12 0.1× 60 0.6× 13 469

Countries citing papers authored by Fangzhou Guo

Since Specialization
Citations

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

Fields of papers citing papers by Fangzhou Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangzhou Guo

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

All Works

17 of 17 papers shown
1.
He, Junwei, Ting Fang, Fangzhou Guo, et al.. (2025). Hydrogen peroxide photoformation in particulate matter and its contribution to S(IV) oxidation during winter in Fairbanks, Alaska. Atmospheric chemistry and physics. 25(10). 5087–5100.
2.
Xia, Qiqi, Xiaofeng Wang, Kai Li, et al.. (2025). Minute-cadence Observations of the LAMOST Fields with the TMTS. VI. Physical Parameters of Contact Binaries. The Astronomical Journal. 169(3). 139–139.
3.
Li, Wei, et al.. (2024). Increases in PM2.5 levels in Houston are associated with a highly recirculating sea breeze. Environmental Pollution. 366. 125381–125381. 3 indexed citations
4.
Guo, Fangzhou, Xiaofeng Wang, Xiaodian Chen, et al.. (2024). Minute-Cadence Observations of the LAMOST Fields with the TMTS: V. Machine Learning Classification of TMTS Catalogues of Periodic Variable Stars. Monthly Notices of the Royal Astronomical Society. 3 indexed citations
5.
Mao, Jingqiu, Kunal Bali, James Campbell, et al.. (2024). Multiphase sulfur chemistry facilitates particle growth in a cold and dark urban environment. Faraday Discussions. 258(0). 357–374. 1 indexed citations
6.
Guo, Fangzhou, Alexander A. T. Bui, Benjamin C. Schulze, et al.. (2024). Airmass history, night-time particulate organonitrates, and meteorology impact urban SOA formation rate. Atmospheric Environment. 322. 120362–120362. 3 indexed citations
7.
Zhou, Shan, Fangzhou Guo, Subin Yoon, et al.. (2023). Marine Submicron Aerosols from the Gulf of Mexico: Polluted and Acidic with Rapid Production of Sulfate and Organosulfates. Environmental Science & Technology. 57(13). 5149–5159. 14 indexed citations
8.
Shrestha, Sujan, Shan Zhou, Subin Yoon, et al.. (2023). Evaluation of aerosol- and gas-phase tracers for identification of transported biomass burning emissions in an industrially influenced location in Texas, USA. Atmospheric chemistry and physics. 23(19). 10845–10867. 4 indexed citations
9.
Yan, Shengyu, Xiaofeng Wang, Xing Gao, et al.. (2023). Discovery of the Closest Ultra-stripped Supernova: SN 2021agco in UGC 3855. The Astrophysical Journal Letters. 959(2). L32–L32. 4 indexed citations
10.
Chen, Zhe, Fu Xiao, & Fangzhou Guo. (2023). Similarity learning-based fault detection and diagnosis in building HVAC systems with limited labeled data. Renewable and Sustainable Energy Reviews. 185. 113612–113612. 21 indexed citations
11.
Chen, Zhe, Fu Xiao, Fangzhou Guo, & Jinyue Yan. (2023). Interpretable machine learning for building energy management: A state-of-the-art review. Advances in Applied Energy. 9. 100123–100123. 188 indexed citations breakdown →
12.
Dai, Qili, Congbo Song, Bowen Liu, et al.. (2022). Revealing Drivers of Haze Pollution by Explainable Machine Learning. Environmental Science & Technology Letters. 9(2). 112–119. 156 indexed citations breakdown →
13.
Li, Wei, Yuxuan Wang, James Flynn, et al.. (2022). Spatial Variation of Surface O3 Responses to Drought Over the Contiguous United States During Summertime: Role of Precursor Emissions and Ozone Chemistry. Journal of Geophysical Research Atmospheres. 127(1). 7 indexed citations
14.
Shrestha, Sujan, Subin Yoon, M. Erickson, et al.. (2022). Traffic, transport, and vegetation drive VOC concentrations in a major urban area in Texas. The Science of The Total Environment. 838(Pt 2). 155861–155861. 11 indexed citations
15.
Guo, Fangzhou, Alexander A. T. Bui, Benjamin C. Schulze, et al.. (2021). Urban core-downwind differences and relationships related to ozone production in a major urban area in Texas. Atmospheric Environment. 262. 118624–118624. 18 indexed citations
16.
Dai, Qili, Benjamin C. Schulze, Xiaohui Bi, et al.. (2019). Seasonal differences in formation processes of oxidized organic aerosol near Houston, TX. Atmospheric chemistry and physics. 19(14). 9641–9661. 37 indexed citations
17.
Rusch, D. W., R. M. Bevilacqua, C. E. Randall, et al.. (1997). Validation of POAM ozone measurements with coincident MLS, HALOE, and SAGE II observations. Journal of Geophysical Research Atmospheres. 102(D19). 23615–23627. 17 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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