Ziping Xu

469 total citations
5 papers, 302 citations indexed

About

Ziping Xu is a scholar working on Health, Toxicology and Mutagenesis, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Ziping Xu has authored 5 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Health, Toxicology and Mutagenesis, 2 papers in Artificial Intelligence and 2 papers in Atmospheric Science. Recurrent topics in Ziping Xu's work include Air Quality and Health Impacts (3 papers), Atmospheric chemistry and aerosols (2 papers) and Energy and Environment Impacts (1 paper). Ziping Xu is often cited by papers focused on Air Quality and Health Impacts (3 papers), Atmospheric chemistry and aerosols (2 papers) and Energy and Environment Impacts (1 paper). Ziping Xu collaborates with scholars based in China and United States. Ziping Xu's co-authors include Song Xi Chen, Wenjun Liu, Tianan Yang, Shuyi Zhang, Bin Guo, Jing He, Ambuj Tewari, Tim Cernak, Paul M. Zimmerman and Xiaoqing Wu and has published in prestigious journals such as Chemical Science, International Journal of Environmental Research and Public Health and Journal of Geophysical Research Atmospheres.

In The Last Decade

Ziping Xu

5 papers receiving 298 citations

Peers

Ziping Xu
P. J. Zemroch United Kingdom
T CHEN Taiwan
Bin Luo China
Junsub Yi United States
Virgil Pavlu United States
Ziping Xu
Citations per year, relative to Ziping Xu Ziping Xu (= 1×) peers Zhanchao Zhang

Countries citing papers authored by Ziping Xu

Since Specialization
Citations

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

Fields of papers citing papers by Ziping Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziping Xu

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

All Works

5 of 5 papers shown
1.
Xu, Ziping, et al.. (2022). Predicting reaction conditions from limited data through active transfer learning. Chemical Science. 13(22). 6655–6668. 47 indexed citations
3.
Xu, Ziping, Song Xi Chen, & Xiaoqing Wu. (2020). Meteorological Change and Impacts on Air Pollution: Results From North China. Journal of Geophysical Research Atmospheres. 125(16). 15 indexed citations
4.
Liu, Wenjun, Ziping Xu, & Tianan Yang. (2018). Health Effects of Air Pollution in China. International Journal of Environmental Research and Public Health. 15(7). 1471–1471. 85 indexed citations
5.
Zhang, Shuyi, et al.. (2017). Cautionary tales on air-quality improvement in Beijing. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 473(2205). 20170457–20170457. 152 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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