Qinqing Shi

424 total citations
11 papers, 338 citations indexed

About

Qinqing Shi is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, Qinqing Shi has authored 11 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Global and Planetary Change, 5 papers in Atmospheric Science and 2 papers in Ecology. Recurrent topics in Qinqing Shi's work include Climate variability and models (6 papers), Atmospheric aerosols and clouds (5 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). Qinqing Shi is often cited by papers focused on Climate variability and models (6 papers), Atmospheric aerosols and clouds (5 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). Qinqing Shi collaborates with scholars based in China, United States and Pakistan. Qinqing Shi's co-authors include Shunlin Liang, Dongdong Wang, Tao He, Michael L. Goulden, Xin Tao, Sajid Asghar, Yang Liu, Wenwen Shi, Yurui Xu and Yibo Li and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Atmospheric chemistry and physics.

In The Last Decade

Qinqing Shi

11 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qinqing Shi China 8 234 178 72 42 36 11 338
Cheng Dang United States 13 426 1.8× 555 3.1× 25 0.3× 27 0.6× 6 0.2× 30 652
Huilin Du China 14 286 1.2× 214 1.2× 522 7.3× 35 0.8× 13 0.4× 35 666
Zhiyuan Wu China 12 107 0.5× 151 0.8× 28 0.4× 52 1.2× 8 0.2× 35 351
Wenxuan Fan China 12 357 1.5× 290 1.6× 77 1.1× 14 0.3× 13 0.4× 45 461
Tianyi Hao China 11 207 0.9× 180 1.0× 74 1.0× 33 0.8× 21 0.6× 26 332
Runhua Yang China 7 229 1.0× 228 1.3× 40 0.6× 6 0.1× 5 0.1× 23 311
J. Jorquera Chile 6 110 0.5× 85 0.5× 76 1.1× 38 0.9× 80 2.2× 7 356

Countries citing papers authored by Qinqing Shi

Since Specialization
Citations

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

Fields of papers citing papers by Qinqing Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinqing Shi

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

All Works

11 of 11 papers shown
1.
Shi, Qinqing, et al.. (2019). Assessing the impacts of the spring sensible heat flux over the Tibetan Plateau on Asian summer monsoon rainfall using observational and reanalysis data. International Journal of Climatology. 40(4). 2342–2358. 6 indexed citations
2.
Xu, Yurui, Sajid Asghar, Yang Liu, et al.. (2017). Nanoparticles based on chitosan hydrochloride/hyaluronic acid/PEG containing curcumin: In vitro evaluation and pharmacokinetics in rats. International Journal of Biological Macromolecules. 102. 1083–1091. 42 indexed citations
3.
Wang, Dongdong, Shunlin Liang, Tao He, & Qinqing Shi. (2015). Estimating clear-sky all-wave net radiation from combined visible and shortwave infrared (VSWIR) and thermal infrared (TIR) remote sensing data. Remote Sensing of Environment. 167. 31–39. 42 indexed citations
4.
Wang, Dongdong, Shunlin Liang, Tao He, & Qinqing Shi. (2015). Estimation of Daily Surface Shortwave Net Radiation From the Combined MODIS Data. IEEE Transactions on Geoscience and Remote Sensing. 53(10). 5519–5529. 41 indexed citations
5.
He, Tao, Shunlin Liang, Dongdong Wang, Qinqing Shi, & Michael L. Goulden. (2015). Estimation of high-resolution land surface net shortwave radiation from AVIRIS data: Algorithm development and preliminary results. Remote Sensing of Environment. 167. 20–30. 43 indexed citations
6.
Shi, Qinqing & Shunlin Liang. (2014). Surface-sensible and latent heat fluxes over the Tibetan Plateau from ground measurements, reanalysis, and satellite data. Atmospheric chemistry and physics. 14(11). 5659–5677. 58 indexed citations
7.
He, Tao, Shunlin Liang, Dongdong Wang, Qinqing Shi, & Xin Tao. (2014). Estimation of High-Resolution Land Surface Shortwave Albedo From AVIRIS Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(12). 4919–4928. 28 indexed citations
8.
Shi, Qinqing & Shunlin Liang. (2013). Characterizing the surface radiation budget over the Tibetan Plateau with ground‐measured, reanalysis, and remote sensing data sets: 2. Spatiotemporal analysis. Journal of Geophysical Research Atmospheres. 118(16). 8921–8934. 39 indexed citations
9.
Shi, Qinqing & Shunlin Liang. (2013). Characterizing the surface radiation budget over the Tibetan Plateau with ground‐measured, reanalysis, and remote sensing data sets: 1. Methodology. Journal of Geophysical Research Atmospheres. 118(17). 9642–9657. 32 indexed citations
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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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