Ying Shi

4.1k total citations
69 papers, 3.4k citations indexed

About

Ying Shi is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Ying Shi has authored 69 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Global and Planetary Change, 39 papers in Atmospheric Science and 13 papers in Water Science and Technology. Recurrent topics in Ying Shi's work include Climate variability and models (52 papers), Meteorological Phenomena and Simulations (30 papers) and Cryospheric studies and observations (15 papers). Ying Shi is often cited by papers focused on Climate variability and models (52 papers), Meteorological Phenomena and Simulations (30 papers) and Cryospheric studies and observations (15 papers). Ying Shi collaborates with scholars based in China, Italy and United States. Ying Shi's co-authors include Filippo Giorgi, Xuejie Gao, Ying Xu, Botao Zhou, Wu Jia, Noah S. Diffenbaugh, Chonghai Xu, Yan Shen, Zhenyu Han and Siyan Dong and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Ying Shi

67 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ying Shi China	29	2.7k	2.2k	497	377	285	69	3.4k
Claas Teichmann Germany	25	2.5k 0.9×	1.9k 0.9×	425 0.9×	272 0.7×	276 1.0×	45	3.3k
Simon J. Brown United Kingdom	23	3.0k 1.1×	1.8k 0.8×	547 1.1×	439 1.2×	282 1.0×	40	3.7k
Emanuele Bevacqua Germany	19	2.3k 0.8×	1.3k 0.6×	399 0.8×	329 0.9×	175 0.6×	47	2.9k
Fahad Saeed Germany	25	2.1k 0.8×	1.4k 0.7×	373 0.8×	517 1.4×	178 0.6×	43	2.6k
Julien Boé France	31	2.4k 0.9×	1.7k 0.8×	618 1.2×	268 0.7×	257 0.9×	55	3.0k
Arona Diédhiou France	30	2.9k 1.0×	2.1k 1.0×	510 1.0×	332 0.9×	331 1.2×	145	3.7k
Burkhardt Rockel Germany	25	3.2k 1.2×	2.7k 1.3×	548 1.1×	269 0.7×	256 0.9×	61	3.9k
Kirsten Warrach‐Sagi Germany	22	2.1k 0.8×	1.4k 0.7×	671 1.4×	196 0.5×	346 1.2×	57	2.6k
Mouhamadou Bamba Sylla Italy	33	2.9k 1.1×	2.1k 1.0×	437 0.9×	625 1.7×	120 0.4×	71	3.3k

Countries citing papers authored by Ying Shi

Since Specialization

Citations

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

Fields of papers citing papers by Ying Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Shi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Feng, Sheng, et al.. (2025). A review of research on vehicle detection in adverse weather environments. Journal of Traffic and Transportation Engineering (English Edition). 12(5). 1452–1483.

Xie, Yiwen, et al.. (2025). NIR-Programmed Trimodal Macrophage Nanovectors for Effective Anti-Tumor Therapy in Mice Model. International Journal of Nanomedicine. Volume 20. 11295–11314.

Tao, Jie, Benqiang Li, Ying Shi, et al.. (2024). Genomic Evolution and Selective Pressure Analysis of a Novel Porcine Sapovirus in Shanghai, China. Microorganisms. 12(3). 569–569. 1 indexed citations

Lu, Hongyun, et al.. (2024). A novel polydiacetylene-functionalized fibrinogen paper-based biosensor for on-spot and rapid detection of Staphylococcus aureus. Food Chemistry. 458. 140291–140291. 8 indexed citations

Dong, Siyan & Ying Shi. (2022). Impact of the dynamic vegetation on climate extremes during the wheat growing period over China. The Science of The Total Environment. 819. 153079–153079. 7 indexed citations

Jia, Wu, et al.. (2021). Future changes in wind energy potential over China using RegCM4 under RCP emission scenarios. Advances in Climate Change Research. 12(4). 596–610. 27 indexed citations

Shi, Ying, Zhenyu Han, Ying Xu, & Chan Xiao. (2020). Impacts of climate change on heating and cooling degree‐hours over China. International Journal of Climatology. 41(3). 1571–1583. 9 indexed citations

Jia, Wu, et al.. (2020). Changes of extreme climate events and related risk exposures in Huang‐Huai‐Hai river basin under 1.5–2°C global warming targets based on high resolution combined dynamical and statistical downscaling dataset. International Journal of Climatology. 41(2). 1383–1401. 17 indexed citations

Zhou, Botao, Wu Jia, Ying Xu, Zhenyu Han, & Ying Shi. (2019). Projected changes in autumn rainfall over West China: Results from an ensemble of dynamical downscaling simulations. International Journal of Climatology. 39(12). 4869–4882. 14 indexed citations

10.

Gong, Guangcai, et al.. (2019). A comprehensive mathematical model of a serial composite process for biomass and coal Co-gasification. International Journal of Hydrogen Energy. 44(5). 2603–2619. 7 indexed citations

11.

Zhang, Dongfeng, Zhenyu Han, & Ying Shi. (2017). Comparison of climate projections between driving CSIRO-Mk3.6.0 and downscaling simulation of RegCM4.4 over China. Advances in Climate Change Research. 8(4). 245–255. 16 indexed citations

12.

Han, Zhenyu, Botao Zhou, Ying Xu, Wu Jia, & Ying Shi. (2017). Projected changes in haze pollution potential in China: an ensemble of regional climate model simulations. Atmospheric chemistry and physics. 17(16). 10109–10123. 56 indexed citations

13.

Han, Zhenyu, Botao Zhou, Ying Xu, Wu Jia, & Ying Shi. (2017). Projected Changes in Haze Pollution Potential in China: An Ensemble of Regional Climate Model Simulations. 1 indexed citations

14.

Zhang, Xianliang, Zhe Xiong, Xuezhen Zhang, et al.. (2017). Simulation of the climatic effects of land use/land cover changes in eastern China using multi-model ensembles. Global and Planetary Change. 154. 1–9. 19 indexed citations

15.

Shi, Ying, et al.. (2016). Isolation and characterization of fenvalerate degrading strain and optimization of degradation conditions. 食品工业科技. 217–222. 1 indexed citations

16.

Xu, Ying, et al.. (2015). Change in Extreme Climate Events over China Based on CMIP5. Atmospheric and Oceanic Science Letters. 8(4). 185–192. 19 indexed citations

17.

Xu, Ying, et al.. (2015). Change in Extreme Climate Events over China Based on CMIP5. Atmospheric and Oceanic Science Letters. 8(4). 185–192. 41 indexed citations

18.

Shi, Ying, et al.. (2012). Optimization of photo-Fenton process parameters on carbofuran degradation using central composite design. Journal of Environmental Science and Health Part B. 47(6). 553–561. 11 indexed citations

19.

Shi, Ying. (2008). SCIENTIFIC DEFINITION OF LAND CONSOLIDATION. Resources and Industries. 1 indexed citations

20.

Shi, Ying. (2008). Influence of Greenhouse Effect on Eastern China Climate Simulated by a High Resolution Regional Climate Model. Chinese Journal of Atmospheric Sciences. 6 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.

Explore authors with similar magnitude of impact