Luyu Chang

1.0k total citations
19 papers, 746 citations indexed

About

Luyu Chang is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Luyu Chang has authored 19 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atmospheric Science, 10 papers in Global and Planetary Change and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Luyu Chang's work include Atmospheric chemistry and aerosols (16 papers), Air Quality and Health Impacts (8 papers) and Air Quality Monitoring and Forecasting (6 papers). Luyu Chang is often cited by papers focused on Atmospheric chemistry and aerosols (16 papers), Air Quality and Health Impacts (8 papers) and Air Quality Monitoring and Forecasting (6 papers). Luyu Chang collaborates with scholars based in China, United States and Australia. Luyu Chang's co-authors include Jianming Xu, Xuexi Tie, Wei Gao, Guangqiang Zhou, Jianbin Wu, Ru‐Jin Huang, Yixuan Gu, Ji Zhou, Ying Xie and Zhiwei Wu and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Luyu Chang

19 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luyu Chang China 13 611 507 319 280 92 19 746
María-Teresa Pay Spain 16 615 1.0× 564 1.1× 252 0.8× 272 1.0× 175 1.9× 27 754
Pulong Chen China 21 936 1.5× 684 1.3× 528 1.7× 411 1.5× 84 0.9× 36 1.1k
Weijun Quan China 10 526 0.9× 454 0.9× 194 0.6× 293 1.0× 75 0.8× 22 683
Huiyun Du China 14 586 1.0× 514 1.0× 272 0.9× 225 0.8× 110 1.2× 32 671
Rusha Yan China 18 825 1.4× 819 1.6× 284 0.9× 473 1.7× 193 2.1× 39 1.0k
Lidan Zhu China 12 477 0.8× 431 0.9× 187 0.6× 239 0.9× 54 0.6× 24 593
Daeok Youn South Korea 13 569 0.9× 349 0.7× 388 1.2× 149 0.5× 85 0.9× 32 684
Chune Shi China 16 524 0.9× 381 0.8× 422 1.3× 361 1.3× 37 0.4× 37 749
Xinghong Cheng China 13 376 0.6× 288 0.6× 250 0.8× 206 0.7× 56 0.6× 34 530
Xiaowan Zhu China 12 749 1.2× 507 1.0× 483 1.5× 249 0.9× 60 0.7× 19 837

Countries citing papers authored by Luyu Chang

Since Specialization
Citations

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

Fields of papers citing papers by Luyu Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luyu Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Luyu Chang. A scholar is included among the top collaborators of Luyu Chang 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 Luyu Chang. Luyu Chang 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.
Shackley, Simon, Ruth M. Doherty, Zongbo Shi, et al.. (2021). Air quality services on climate time-scales for decision making: An empirical study of China. Journal of Cleaner Production. 312. 127651–127651. 1 indexed citations
2.
Chang, Luyu, et al.. (2021). Meteorology driving the highest ozone level occurred during mid-spring to early summer in Shanghai, China. The Science of The Total Environment. 785. 147253–147253. 18 indexed citations
3.
Chang, Luyu, Zhiwei Wu, & Jianming Xu. (2020). Contribution of Northeastern Asian stratospheric warming to subseasonal prediction of the early winter haze pollution in Sichuan Basin, China. The Science of The Total Environment. 751. 141823–141823. 12 indexed citations
4.
Chang, Luyu, Zhiwei Wu, & Jianming Xu. (2020). Potential impacts of the Southern Hemisphere polar vortices on central-eastern China haze pollution during boreal early winter. Climate Dynamics. 55(3-4). 771–787. 12 indexed citations
5.
Chang, Luyu, Zhiwei Wu, & Jianming Xu. (2020). A comparison of haze pollution variability in China using haze indices based on observations. The Science of The Total Environment. 715. 136929–136929. 14 indexed citations
6.
Chang, Luyu, Jianming Xu, Xuexi Tie, & Wei Gao. (2019). The impact of Climate Change on the Western Pacific Subtropical High and the related ozone pollution in Shanghai, China. Scientific Reports. 9(1). 16998–16998. 31 indexed citations
7.
Pan, Liang, et al.. (2019). Long-term measurements of planetary boundary layer height and interactions with PM2.5 in Shanghai, China. Atmospheric Pollution Research. 10(3). 989–996. 52 indexed citations
8.
Hu, Jun, Yichen Li, Tianliang Zhao, et al.. (2018). An important mechanism of regional O 3 transport for summer smog over the Yangtze River Delta in eastern China. Atmospheric chemistry and physics. 18(22). 16239–16251. 78 indexed citations
9.
Zhou, Jiamao, Xuexi Tie, Baiqing Xu, et al.. (2018). Black carbon (BC) in a northern Tibetan mountain: effect of Kuwait fires on glaciers. Atmospheric chemistry and physics. 18(18). 13673–13685. 6 indexed citations
10.
Gao, Wei, Xuexi Tie, Jianming Xu, et al.. (2017). Long-term trend of O3 in a mega City (Shanghai), China: Characteristics, causes, and interactions with precursors. The Science of The Total Environment. 603-604. 425–433. 172 indexed citations
11.
Xu, Jianming, et al.. (2017). Role of climate anomalies on decadal variation in the occurrence of wintertime haze in the Yangtze River Delta, China. The Science of The Total Environment. 599-600. 918–925. 19 indexed citations
12.
Zhou, Guangqiang, Jianming Xu, Ying Xie, et al.. (2017). Numerical air quality forecasting over eastern China: An operational application of WRF-Chem. Atmospheric Environment. 153. 94–108. 94 indexed citations
13.
Xu, Jianming, et al.. (2016). Objective synoptic weather classification on PM(2.5) pollution during autumn and winter seasons in Shanghai. 36(12). 4314. 9 indexed citations
14.
Chang, Luyu, Jianming Xu, Guangqiang Zhou, et al.. (2016). [A Numerical Study of Typical Heavy Air Pollution Episode of PM₂.₅ in Shanghai].. PubMed. 37(3). 825–33. 2 indexed citations
15.
Xu, Jianming, et al.. (2016). The meteorological modulation on PM2.5 interannual oscillation during 2013 to 2015 in Shanghai, China. The Science of The Total Environment. 572. 1138–1149. 67 indexed citations
16.
Wu, Jianbin, Zifa Wang, Qian Wang, et al.. (2016). Development of an on-line source-tagged model for sulfate, nitrate and ammonium: A modeling study for highly polluted periods in Shanghai, China. Environmental Pollution. 221. 168–179. 43 indexed citations
17.
Chang, Luyu, Jianming Xu, Xuexi Tie, & Jianbin Wu. (2016). Impact of the 2015 El Nino event on winter air quality in China. Scientific Reports. 6(1). 34275–34275. 110 indexed citations
18.
Chang, Luyu, et al.. (2016). 上海秋冬季PM 2.5 污染天气形势的客观分型研究. 4 indexed citations
19.
He, Jinhai, Luyu Chang, & Hua Chen. (2015). Meridional Propagation of the 30- to 60-day Variability of Precipitation in the East Asian Subtropical Summer Monsoon Region: Monitoring and Prediction. ATMOSPHERE-OCEAN. 53(2). 251–263. 2 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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