Ting Qiao

582 total citations
10 papers, 482 citations indexed

About

Ting Qiao is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Automotive Engineering. According to data from OpenAlex, Ting Qiao has authored 10 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health, Toxicology and Mutagenesis, 7 papers in Atmospheric Science and 3 papers in Automotive Engineering. Recurrent topics in Ting Qiao's work include Air Quality and Health Impacts (7 papers), Atmospheric chemistry and aerosols (7 papers) and Air Quality Monitoring and Forecasting (3 papers). Ting Qiao is often cited by papers focused on Air Quality and Health Impacts (7 papers), Atmospheric chemistry and aerosols (7 papers) and Air Quality Monitoring and Forecasting (3 papers). Ting Qiao collaborates with scholars based in China, Hong Kong and Australia. Ting Qiao's co-authors include Guangli Xiu, Mengfei Zhao, Jian Zhen Yu, Yuankai Zhang, Lina Wang, Yi Zheng, Shengmao Fu, Jianming Yang, Yongli Cai and Weiming Wang and has published in prestigious journals such as The Science of The Total Environment, Atmospheric Environment and Transportation Research Part D Transport and Environment.

In The Last Decade

Ting Qiao

10 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting Qiao China 8 382 329 199 110 84 10 482
Carlos Blanco‐Alegre Spain 16 343 0.9× 226 0.7× 138 0.7× 53 0.5× 120 1.4× 31 497
Baolei Lyu China 8 232 0.6× 86 0.3× 108 0.5× 16 0.1× 71 0.8× 20 344
Bahadar Zeb Pakistan 10 195 0.5× 170 0.5× 97 0.5× 25 0.2× 111 1.3× 19 308
David Wainwright Australia 7 358 0.9× 165 0.5× 212 1.1× 161 1.5× 62 0.7× 12 437
V. Aleksandropoulou Greece 14 377 1.0× 210 0.6× 166 0.8× 75 0.7× 115 1.4× 21 484
G. Calori Italy 12 367 1.0× 319 1.0× 231 1.2× 94 0.9× 149 1.8× 29 533
Antonio Piersanti Italy 13 410 1.1× 196 0.6× 243 1.2× 78 0.7× 115 1.4× 46 550
I. Barmpadimos Switzerland 9 625 1.6× 663 2.0× 277 1.4× 147 1.3× 327 3.9× 11 847
Xin Zuo China 8 290 0.8× 245 0.7× 177 0.9× 37 0.3× 127 1.5× 14 409
一朗 漆崎 China 10 208 0.5× 107 0.3× 103 0.5× 14 0.1× 59 0.7× 19 341

Countries citing papers authored by Ting Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Ting Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Qiao

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

All Works

10 of 10 papers shown
1.
Liu, Yanfeng, Jiamei Wang, Jing Jiang, et al.. (2022). Rhizoma Drynariae Improves Endometrial Receptivity in a Mus Model of Dysfunctional Embryo Implantation. World Journal of Traditional Chinese Medicine. 9(1). 94–100. 2 indexed citations
2.
3.
Qiao, Ting, Yongli Cai, Shengmao Fu, & Weiming Wang. (2019). Stability and Hopf Bifurcation in a Predator–Prey Model with the Cost of Anti-Predator Behaviors. International Journal of Bifurcation and Chaos. 29(13). 1950185–1950185. 30 indexed citations
4.
Zhao, Mengfei, et al.. (2016). Temporal variations and source apportionment of Hulis-C in PM2.5 in urban Shanghai. The Science of The Total Environment. 571. 18–26. 33 indexed citations
5.
Qiao, Ting, Mengfei Zhao, Guangli Xiu, & Jian Zhen Yu. (2016). Simultaneous monitoring and compositions analysis of PM1 and PM2.5 in Shanghai: Implications for characterization of haze pollution and source apportionment. The Science of The Total Environment. 557-558. 386–394. 84 indexed citations
6.
Zhao, Mengfei, Ting Qiao, Wei Xu, et al.. (2015). Comparison of ionic and carbonaceous compositions of PM2.5 in 2009 and 2012 in Shanghai, China. The Science of The Total Environment. 536. 695–703. 52 indexed citations
7.
Qiao, Ting, Mengfei Zhao, Guangli Xiu, & Jian Zhen Yu. (2015). Seasonal variations of water soluble composition (WSOC, Hulis and WSIIs) in PM1 and its implications on haze pollution in urban Shanghai, China. Atmospheric Environment. 123. 306–314. 67 indexed citations
8.
Qiao, Ting, et al.. (2015). Preliminary investigation of PM1, PM2.5, PM10 and its metal elemental composition in tunnels at a subway station in Shanghai, China. Transportation Research Part D Transport and Environment. 41. 136–146. 54 indexed citations
9.
Qiao, Ting, et al.. (2015). Characterization of PM and Microclimate in a Shanghai Subway Tunnel, China. Procedia Engineering. 102. 1226–1232. 19 indexed citations
10.
Zhao, Mengfei, et al.. (2015). Chemical characterization, the transport pathways and potential sources of PM2.5 in Shanghai: Seasonal variations. Atmospheric Research. 158-159. 66–78. 137 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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