Yiquan Jiang

1.4k total citations
24 papers, 696 citations indexed

About

Yiquan Jiang is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Yiquan Jiang has authored 24 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Atmospheric Science, 24 papers in Global and Planetary Change and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Yiquan Jiang's work include Atmospheric chemistry and aerosols (18 papers), Atmospheric aerosols and clouds (14 papers) and Climate variability and models (11 papers). Yiquan Jiang is often cited by papers focused on Atmospheric chemistry and aerosols (18 papers), Atmospheric aerosols and clouds (14 papers) and Climate variability and models (11 papers). Yiquan Jiang collaborates with scholars based in China, United States and Montenegro. Yiquan Jiang's co-authors include Xiaohong Liu, Xiu‐Qun Yang, Minghuai Wang, Zheng Lu, Yong Wang, Chenglai Wu, Mingxuan Wu, Kai Zhang, Yun Qian and Hunter Brown and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and Journal of Climate.

In The Last Decade

Yiquan Jiang

24 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiquan Jiang China 15 598 586 147 50 27 24 696
Ribu Cherian Germany 15 568 0.9× 565 1.0× 125 0.9× 44 0.9× 19 0.7× 24 645
Mona Johnsrud Norway 10 716 1.2× 666 1.1× 107 0.7× 42 0.8× 11 0.4× 16 766
B. Abish India 10 489 0.8× 466 0.8× 158 1.1× 53 1.1× 55 2.0× 15 554
Sara Bacer Germany 10 252 0.4× 229 0.4× 82 0.6× 34 0.7× 34 1.3× 20 342
Jay P. Hoffman United States 11 472 0.8× 504 0.9× 60 0.4× 56 1.1× 23 0.9× 13 603
Binita Pathak India 16 755 1.3× 715 1.2× 276 1.9× 119 2.4× 13 0.5× 48 878
Olle H. Berg Sweden 9 747 1.2× 649 1.1× 310 2.1× 45 0.9× 13 0.5× 11 773
K. Lapina United States 8 358 0.6× 268 0.5× 97 0.7× 32 0.6× 11 0.4× 9 413
Man‐Hae Kim South Korea 14 675 1.1× 650 1.1× 130 0.9× 70 1.4× 14 0.5× 28 771
Masamitsu Hayasaki Japan 12 378 0.6× 300 0.5× 116 0.8× 40 0.8× 75 2.8× 24 444

Countries citing papers authored by Yiquan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Yiquan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiquan Jiang

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

All Works

20 of 20 papers shown
1.
Lu, Zheng, Yong Wang, Xiaohong Liu, et al.. (2022). Black carbon-climate interactions regulate dust burdens over India revealed during COVID-19. Nature Communications. 13(1). 1839–1839. 29 indexed citations
2.
Chen, Zhe, et al.. (2022). Long-term change in low-cloud cover in Southeast China during cold seasons. Atmospheric and Oceanic Science Letters. 15(6). 100222–100222. 8 indexed citations
3.
Wang, Yong, Xiaohong Liu, Shaocheng Xie, et al.. (2021). Disproportionate control on aerosol burden by light rain. Nature Geoscience. 14(2). 72–76. 53 indexed citations
4.
Wang, Yong, Siyu Chen, Jianping Huang, et al.. (2021). Double Trouble of Air Pollution by Anthropogenic Dust. Environmental Science & Technology. 56(2). 761–769. 36 indexed citations
5.
Yan, Huiping, Zhiwei Zhu, Bin Wang, et al.. (2021). Tropical African wildfire aerosols trigger teleconnections over mid-to-high latitudes of Northern Hemisphere in January. Environmental Research Letters. 16(3). 34025–34025. 10 indexed citations
6.
7.
Jiang, Yiquan, Xiu‐Qun Yang, Xiaohong Liu, et al.. (2020). Impacts of Wildfire Aerosols on Global Energy Budget and Climate: The Role of Climate Feedbacks. Journal of Climate. 33(8). 3351–3366. 42 indexed citations
8.
Yang, Dejian, Xiu‐Qun Yang, Xuguang Sun, et al.. (2019). Reply to Comment by Michael K. Tippett on “On the Relationship Between Probabilistic and Deterministic Skills in Dynamical Seasonal Climate Prediction”. Journal of Geophysical Research Atmospheres. 124(7). 3982–3983. 1 indexed citations
9.
Brown, Hunter, Xiaohong Liu, Yan Feng, et al.. (2018). Radiative Effect and Climate Impacts of Brown Carbon with the Community Atmosphere Model (CAM5). OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
10.
Brown, Hunter, Xiaohong Liu, Yan Feng, et al.. (2018). Radiative effect and climate impacts of brown carbon with the Community Atmosphere Model (CAM5). Atmospheric chemistry and physics. 18(24). 17745–17768. 106 indexed citations
11.
Fan, Tianyi, Xiaohong Liu, Po‐Lun Ma, et al.. (2018). Emission or atmospheric processes? An attempt to attribute the source of large bias of aerosols in eastern China simulated by global climate models. Atmospheric chemistry and physics. 18(2). 1395–1417. 37 indexed citations
12.
Chen, Bing, Chenglai Wu, Xiaohong Liu, et al.. (2018). Seasonal climatic effects and feedbacks of anthropogenic heat release due to global energy consumption with CAM5. Climate Dynamics. 52(11). 6377–6390. 24 indexed citations
13.
Wang, Yong, Guang J. Zhang, & Yiquan Jiang. (2018). Linking Stochasticity of Convection to Large-Scale Vertical Velocity to Improve Indian Summer Monsoon Simulation in the NCAR CAM5. Journal of Climate. 31(17). 6985–7002. 16 indexed citations
14.
Jiang, Yiquan, Xiu‐Qun Yang, Xiaohong Liu, et al.. (2017). Anthropogenic aerosol effects on East Asian winter monsoon: The role of black carbon‐induced Tibetan Plateau warming. Journal of Geophysical Research Atmospheres. 122(11). 5883–5902. 49 indexed citations
15.
16.
Fan, Tianyi, Xiaohong Liu, Po‐Lun Ma, et al.. (2016). Impact of a new emission inventory on CAM5 simulations of aerosolsand aerosol radiative effects in eastern China. 2 indexed citations
17.
Jiang, Yiquan, Zheng Lu, Xiaohong Liu, et al.. (2016). Impacts of Global Wildfire Aerosols on Direct Radiative, Cloud and Surface-Albedo Forcings Simulated with CAM5. 4 indexed citations
18.
Jiang, Yiquan, Zheng Lu, Xiaohong Liu, et al.. (2016). Impacts of global open-fire aerosols on direct radiative, cloud and surface-albedo effects simulated with CAM5. Atmospheric chemistry and physics. 16(23). 14805–14824. 58 indexed citations
19.
Jiang, Yiquan, Xiaohong Liu, Xiu‐Qun Yang, & Minghuai Wang. (2013). A numerical study of the effect of different aerosol types on East Asian summer clouds and precipitation. Atmospheric Environment. 70. 51–63. 127 indexed citations
20.
Jiang, Yiquan. (2011). The effects of aerosols in CAM3.0 on climate in East Asia during boreal spring. 1 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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