Rusha Yan

1.6k total citations
39 papers, 1.0k citations indexed

About

Rusha Yan is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Rusha Yan has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Health, Toxicology and Mutagenesis, 25 papers in Atmospheric Science and 15 papers in Environmental Engineering. Recurrent topics in Rusha Yan's work include Air Quality and Health Impacts (33 papers), Atmospheric chemistry and aerosols (25 papers) and Air Quality Monitoring and Forecasting (15 papers). Rusha Yan is often cited by papers focused on Air Quality and Health Impacts (33 papers), Atmospheric chemistry and aerosols (25 papers) and Air Quality Monitoring and Forecasting (15 papers). Rusha Yan collaborates with scholars based in China, United States and Germany. Rusha Yan's co-authors include Jingyu An, Cheng Huang, Li Li, Hongli Wang, Ling Huang, Shengrong Lou, Liping Qiao, Min Zhou, Shengao Jing and Greg Yarwood and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Geophysical Research Letters.

In The Last Decade

Rusha Yan

37 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rusha Yan China 18 825 819 473 284 193 39 1.0k
Z.-Y. Du China 4 1.1k 1.3× 932 1.1× 280 0.6× 395 1.4× 202 1.0× 8 1.2k
Shuhui Zhu China 18 961 1.2× 844 1.0× 436 0.9× 221 0.8× 320 1.7× 42 1.1k
Pulong Chen China 21 936 1.1× 684 0.8× 411 0.9× 528 1.9× 84 0.4× 36 1.1k
Jingyu An China 20 1.1k 1.4× 1.0k 1.3× 596 1.3× 324 1.1× 341 1.8× 43 1.4k
James W. Boylan United States 13 1.0k 1.3× 930 1.1× 324 0.7× 438 1.5× 311 1.6× 17 1.2k
Xiaoxin Fu China 14 842 1.0× 798 1.0× 283 0.6× 198 0.7× 164 0.8× 16 1.0k
M. Bressi France 8 477 0.6× 615 0.8× 242 0.5× 181 0.6× 129 0.7× 9 741
Simonas Kecorius Germany 18 1.1k 1.3× 838 1.0× 310 0.7× 483 1.7× 142 0.7× 46 1.3k
Weijun Quan China 10 526 0.6× 454 0.6× 293 0.6× 194 0.7× 75 0.4× 22 683
Sjaak Slanina China 9 698 0.8× 720 0.9× 284 0.6× 204 0.7× 183 0.9× 12 917

Countries citing papers authored by Rusha Yan

Since Specialization
Citations

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

Fields of papers citing papers by Rusha Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rusha Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Rusha Yan. A scholar is included among the top collaborators of Rusha Yan 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 Rusha Yan. Rusha Yan 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.
Wang, Haiying, Guangyan Zhang, Junli Sun, et al.. (2024). Study on a ventilating vest with thermoelectric cooling to improve thermal comfort and cognitive ability. Energy and Buildings. 328. 115188–115188. 2 indexed citations
2.
Liu, Huang, Rusha Yan, Jian Wang, et al.. (2024). Asphaltene-deposition characteristics of a crude oil under high-pressure. Geoenergy Science and Engineering. 246. 213614–213614. 1 indexed citations
3.
Yan, Rusha, Hongli Wang, Cheng Huang, et al.. (2023). Impact of spatial scales of control measures on the effectiveness of ozone pollution mitigation in eastern China. The Science of The Total Environment. 906. 167521–167521. 5 indexed citations
4.
Bai, Heming, et al.. (2023). Evaluating and optimizing PM2.5 stations in Yangtze River Delta from a spatial representativeness perspective. Applied Geography. 154. 102949–102949. 4 indexed citations
5.
Bai, Heming, et al.. (2023). Assessment of personal exposure using movement trajectory and hourly 1-km PM2.5 concentrations. Journal of Applied Remote Sensing. 18(1). 1 indexed citations
6.
An, Jingyu, Cheng Huang, Dandan Huang, et al.. (2023). Sources of organic aerosols in eastern China: a modeling study with high-resolution intermediate-volatility and semivolatile organic compound emissions. Atmospheric chemistry and physics. 23(1). 323–344. 17 indexed citations
7.
Wang, Yanyu, Cheng Huang, Xiao‐Ming Hu, et al.. (2023). Quantifying the Impact of COVID‐19 Pandemic on the Spatiotemporal Changes of CO2 Concentrations in the Yangtze River Delta, China. Journal of Geophysical Research Atmospheres. 128(21). 4 indexed citations
8.
Zhou, Min, Guangjie Zheng, Hongli Wang, et al.. (2022). Long-term trends and drivers of aerosol pH in eastern China. Atmospheric chemistry and physics. 22(20). 13833–13844. 34 indexed citations
9.
Peng, Yarong, Hongli Wang, Qian Wang, et al.. (2022). Observation-based sources evolution of non-methane hydrocarbons (NMHCs) in a megacity of China. Journal of Environmental Sciences. 124. 794–805. 9 indexed citations
10.
Yan, Rusha, Hongli Wang, Cheng Huang, Qian Wang, & Jingyu An. (2021). [Characteristics and Control Strategies on Summertime Peak Ozone Concentration in Shanghai].. PubMed. 42(8). 3577–3584.
11.
Zhou, Min, Guangjie Zheng, Hongli Wang, et al.. (2021). Long-term trends and drivers of aerosol pH in eastern China. 1 indexed citations
12.
An, Jingyu, Yiwei Huang, Cheng Huang, et al.. (2021). Emission inventory of air pollutants and chemical speciation for specific anthropogenic sources based on local measurements in the Yangtze River Delta region, China. Atmospheric chemistry and physics. 21(3). 2003–2025. 97 indexed citations
13.
Liu, Ting, Xueying Wang, Jianlin Hu, et al.. (2020). Driving Forces of Changes in Air Quality during the COVID-19 Lockdown Period in the Yangtze River Delta Region, China. Environmental Science & Technology Letters. 7(11). 779–786. 106 indexed citations
14.
15.
Dai, Haixia, Jingyu An, Li Li, et al.. (2019). [Health Benefit Analyses of the Clean Air Action Plan Implementation in Shanghai].. PubMed. 40(1). 24–32. 4 indexed citations
16.
17.
Li, Li, Shuhui Zhu, Jingyu An, et al.. (2019). Evaluation of the effect of regional joint-control measures on changing photochemical transformation: a comprehensive study of the optimization scenario analysis. Atmospheric chemistry and physics. 19(14). 9037–9060. 19 indexed citations
18.
Huang, Ling, Jingyu An, Bonyoung Koo, et al.. (2019). Sulfate formation during heavy winter haze events and the potential contribution from heterogeneous SO 2  + NO 2 reactions in the Yangtze River Delta region, China. Atmospheric chemistry and physics. 19(22). 14311–14328. 37 indexed citations
19.
Li, Li, Jingyu An, Min Zhou, et al.. (2016). Source apportionment of surface ozone in the Yangtze River Delta, China in the summer of 2013. Atmospheric Environment. 144. 194–207. 89 indexed citations
20.
Li, Li, Jingyu An, & Rusha Yan. (2015). [Source Contribution Analysis of the Fine Particles in Shanghai During a Heavy Haze Episode in December, 2013 Based on the Particulate Matter Source Apportionment Technology].. PubMed. 36(10). 3543–53. 1 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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