Yongtao Hu

6.0k total citations
133 papers, 4.3k citations indexed

About

Yongtao Hu is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Global and Planetary Change. According to data from OpenAlex, Yongtao Hu has authored 133 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Atmospheric Science, 89 papers in Health, Toxicology and Mutagenesis and 53 papers in Global and Planetary Change. Recurrent topics in Yongtao Hu's work include Atmospheric chemistry and aerosols (96 papers), Air Quality and Health Impacts (87 papers) and Air Quality Monitoring and Forecasting (26 papers). Yongtao Hu is often cited by papers focused on Atmospheric chemistry and aerosols (96 papers), Air Quality and Health Impacts (87 papers) and Air Quality Monitoring and Forecasting (26 papers). Yongtao Hu collaborates with scholars based in United States, China and Greece. Yongtao Hu's co-authors include Armistead G. Russell, M. Talat Odman, Daniel S. Cohan, Amir Hakami, Athanasios Nenes, James A. Mulholland, Sergey L. Napelenok, Brian Stone, Michael E. Chang and Randall V. Martin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Environmental Science & Technology.

In The Last Decade

Yongtao Hu

124 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongtao Hu United States 37 3.0k 2.9k 1.6k 1.4k 724 133 4.3k
Yuan Cheng China 34 4.2k 1.4× 3.8k 1.3× 1.5k 0.9× 1.2k 0.9× 833 1.2× 113 5.0k
Steve Hung Lam Yim Hong Kong 40 2.0k 0.7× 2.8k 0.9× 1.7k 1.0× 1.6k 1.2× 621 0.9× 134 4.5k
Daewon W. Byun United States 27 3.5k 1.2× 2.6k 0.9× 1.8k 1.1× 1.2k 0.9× 682 0.9× 57 4.3k
Martijn Schaap Netherlands 42 3.6k 1.2× 3.1k 1.0× 2.0k 1.2× 1.7k 1.3× 1.1k 1.5× 134 5.4k
Yang Zhang United States 43 4.6k 1.5× 3.3k 1.1× 3.2k 1.9× 1.5k 1.1× 738 1.0× 161 6.0k
R. Subramanian United States 41 3.2k 1.1× 3.0k 1.0× 2.0k 1.2× 1.5k 1.1× 875 1.2× 97 5.1k
Lingxiao Yang China 42 3.1k 1.0× 3.3k 1.1× 989 0.6× 1.2k 0.9× 579 0.8× 94 4.3k
María Cruz Minguillón Spain 40 2.2k 0.7× 3.9k 1.3× 1.1k 0.7× 1.7k 1.3× 1.4k 1.9× 86 5.0k
Begoña Artı́ñano Spain 40 3.3k 1.1× 3.7k 1.3× 1.3k 0.8× 1.6k 1.1× 1.1k 1.5× 116 5.0k
Pedro Jiménez‐Guerrero Spain 38 2.4k 0.8× 1.6k 0.5× 1.8k 1.1× 693 0.5× 448 0.6× 136 3.6k

Countries citing papers authored by Yongtao Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yongtao Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongtao Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yongtao Hu. A scholar is included among the top collaborators of Yongtao Hu 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 Yongtao Hu. Yongtao Hu 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.
Hu, Yongtao, Yan Zhang, Yan Zhang, et al.. (2025). Nomogram for predicting primary resistance to anti-PD-1 therapy in advanced gastric cancer based on dynamic inflammatory markers: a multicenter retrospective study. International Immunopharmacology. 162. 115122–115122.
2.
O’Neill, Susan, Rime El Asmar, Yongtao Hu, et al.. (2025). An investigation of corrective approaches for uncertain winds and analysis of impacts on smoke model performance. Agricultural and Forest Meteorology. 376. 110885–110885.
3.
Lyu, Baolei, et al.. (2025). FastCTM (v1.0): Atmospheric chemical transport modelling with a principle-informed neural network for air quality simulations. Geoscientific model development. 18(18). 6295–6312.
4.
Vaidyanathan, A., Kamal Jyoti Maji, Yongtao Hu, et al.. (2025). The Trade-offs between Wildfires and Prescribed Fires: A Case Study for 2016 Gatlinburg Wildfires. ACS ES&T Air. 2(2). 236–248.
5.
Hu, Yongtao, et al.. (2024). Deformation-related earth pressure within grid wall-pattern foundation under adjacent surcharge. Engineering Applications of Artificial Intelligence. 137. 109168–109168.
6.
Maji, Kamal Jyoti, Bonne Ford, Yongtao Hu, et al.. (2024). Impact of the 2022 New Mexico, US wildfires on air quality and health. The Science of The Total Environment. 946. 174197–174197. 3 indexed citations
7.
Hu, Yongtao, et al.. (2024). New numerical technique for the inbuilt modified Cam clay constitutive model in Flac3D. Proceedings of the Institution of Civil Engineers - Geotechnical Engineering. 178(3). 351–365.
8.
Asmar, Rime El, David J. Tanner, Yongtao Hu, et al.. (2024). A multi-site passive approach to studying the emissions and evolution of smoke from prescribed fires. Atmospheric chemistry and physics. 24(22). 12749–12773. 4 indexed citations
9.
Lyu, Baolei, et al.. (2022). Deep-learning spatial principles from deterministic chemical transport models for chemical reanalysis: an application in China for PM 2.5. Geoscientific model development. 15(4). 1583–1594. 3 indexed citations
10.
Zhang, Bingqing, Huizhong Shen, Pengfei Liu, et al.. (2021). Significant contrasts in aerosol acidity between China and the United States. Atmospheric chemistry and physics. 21(10). 8341–8356. 27 indexed citations
11.
Russell, Armistead G., Paige E. Tolbert, Joseph Y. Abrams, et al.. (2018). Impacts of Regulations on Air Quality and Emergency Department Visits in the Atlanta Metropolitan Area, 1999-2013.. PubMed. 1–93. 14 indexed citations
12.
Ivey, Cesunica E., Heather A. Holmes, Yongtao Hu, James A. Mulholland, & Armistead G. Russell. (2015). Development of PM 2.5 source impact spatial fields using a hybrid source apportionment air quality model. Geoscientific model development. 8(7). 2153–2165. 36 indexed citations
13.
Hu, Yongtao, Sivaraman Balachandran, Jorge E. Pachón, et al.. (2014). Fine particulate matter source apportionment using a hybrid chemical transport and receptor model approach. Atmospheric chemistry and physics. 14(11). 5415–5431. 44 indexed citations
14.
Trail, M., Alexandra P. Tsimpidi, Kostas Tsigaridis, et al.. (2013). Downscaling a global climate model to simulate climate change over the US and the implication on regional and urban air quality. Geoscientific model development. 6(5). 1429–1445. 34 indexed citations
15.
Tsimpidi, Alexandra P., et al.. (2012). Differences between downscaling with spectral and grid nudging using WRF. Atmospheric chemistry and physics. 12(8). 3601–3610. 122 indexed citations
16.
Capps, Shannon L., et al.. (2012). Development of the high-order decoupled direct method in three dimensions for particulate matter: enabling advanced sensitivity analysis in air quality models. Geoscientific model development. 5(2). 355–368. 48 indexed citations
17.
18.
Kaynak, Burçak, Yongtao Hu, Randall V. Martin, et al.. (2008). The effect of lightning NO x production on surface ozone in the continental United States. Atmospheric chemistry and physics. 8(17). 5151–5159. 52 indexed citations
19.
Yan, Bo, et al.. (2008). Organic composition of carbonaceous aerosols in an aged prescribed fire plume. Atmospheric chemistry and physics. 8(21). 6381–6394. 46 indexed citations
20.

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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