Ying Han

1.5k total citations · 1 hit paper
40 papers, 1.0k citations indexed

About

Ying Han is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Ying Han has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Global and Planetary Change, 27 papers in Atmospheric Science and 8 papers in Oceanography. Recurrent topics in Ying Han's work include Climate variability and models (16 papers), Meteorological Phenomena and Simulations (14 papers) and Atmospheric aerosols and clouds (11 papers). Ying Han is often cited by papers focused on Climate variability and models (16 papers), Meteorological Phenomena and Simulations (14 papers) and Atmospheric aerosols and clouds (11 papers). Ying Han collaborates with scholars based in China, United States and Canada. Ying Han's co-authors include Zhongfeng Xu, Zong‐Liang Yang, Congbin Fu, Boualem Khouider, Weidong Guo, Chi‐Yung Tam, Jianping Huang, Tianhe Wang, Jingyi Tang and Zhongwei Huang and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Ying Han

37 papers receiving 1.0k citations

Hit Papers

Bias-corrected CMIP6 global dataset for dynamical downsca... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Han China 18 787 749 157 104 75 40 1.0k
Andreas Will Germany 6 605 0.8× 572 0.8× 121 0.8× 108 1.0× 75 1.0× 17 887
Ziniu Xiao China 17 819 1.0× 795 1.1× 278 1.8× 98 0.9× 76 1.0× 127 1.2k
Mark Reyers Germany 20 1.1k 1.4× 1.0k 1.4× 253 1.6× 87 0.8× 75 1.0× 42 1.6k
Stefano Federico Italy 19 625 0.8× 722 1.0× 97 0.6× 154 1.5× 31 0.4× 83 976
Yesubabu Viswanadhapalli India 23 1.0k 1.3× 1.1k 1.5× 387 2.5× 125 1.2× 45 0.6× 57 1.5k
Zhongfeng Xu China 18 1.0k 1.3× 919 1.2× 153 1.0× 167 1.6× 173 2.3× 63 1.3k
Kalli Furtado United Kingdom 22 1.4k 1.8× 1.3k 1.8× 92 0.6× 80 0.8× 77 1.0× 62 1.8k
Kaiqiang Deng China 19 797 1.0× 684 0.9× 224 1.4× 79 0.8× 30 0.4× 40 947
Hylke de Vries Netherlands 24 1.3k 1.7× 1.2k 1.6× 350 2.2× 71 0.7× 98 1.3× 69 1.7k
Sandeep Sahany India 20 897 1.1× 728 1.0× 132 0.8× 80 0.8× 131 1.7× 56 1.1k

Countries citing papers authored by Ying Han

Since Specialization
Citations

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

Fields of papers citing papers by Ying Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Han

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Han. A scholar is included among the top collaborators of Ying Han 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 Han. Ying Han 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.
Sun, Wenjin, Ying Han, Shuo Ren, et al.. (2025). Causal Matrix Long Short-Term Memory Network for Interpretable Significant Wave Height Forecasting. Journal of Marine Science and Engineering. 13(10). 1872–1872.
2.
Lu, Wenfang, Zhigang Lai, Xinwen Li, et al.. (2024). Spatiotemporal wave forecast with transformer-based network: A case study for the northwestern Pacific Ocean. Ocean Modelling. 188. 102323–102323. 14 indexed citations
3.
Tang, Jingyi, et al.. (2024). Dominating Remote Source and Its Potential Contribution of Airborne Dust Over the Tibetan Plateau. Geophysical Research Letters. 51(22). e2024GL111178–e2024GL111178. 1 indexed citations
4.
Xu, Zhongfeng, Ying Han, Chi‐Yung Tam, et al.. (2024). Assessing the Performance of a Dynamical Downscaling Simulation Driven by a Bias-Corrected CMIP6 Dataset for Asian Climate. Advances in Atmospheric Sciences. 41(5). 974–988. 9 indexed citations
5.
Wang, Chengyun, et al.. (2023). Summer Extreme Dust Activity in the Taklimakan Desert Regulated by the South Asian High. Remote Sensing. 15(11). 2875–2875. 4 indexed citations
6.
Han, Ying, et al.. (2022). Bioaccessibility and Intestinal Transport of Tebuconazole in Table Grape by Using In Vitro Digestion Models. Foods. 11(23). 3926–3926. 4 indexed citations
7.
Han, Ying, et al.. (2022). CALIOP-Based Quantification of Central Asian Dust Transport. Remote Sensing. 14(6). 1416–1416. 15 indexed citations
8.
Wang, Tianhe, Ying Han, Jingyi Tang, et al.. (2021). Profiling Dust Mass Concentration in Northwest China Using a Joint Lidar and Sun-Photometer Setting. Remote Sensing. 13(6). 1099–1099. 30 indexed citations
9.
Xu, Zhongfeng, et al.. (2021). An improved multivariable integrated evaluation method and tool (MVIETool) v1.0 for multimodel intercomparison. Geoscientific model development. 14(5). 3079–3094. 10 indexed citations
10.
Xu, Zhongfeng, Ying Han, Chi‐Yung Tam, Zong‐Liang Yang, & Congbin Fu. (2021). Bias-corrected CMIP6 global dataset for dynamical downscaling of the historical and future climate (1979–2100). Scientific Data. 8(1). 293–293. 168 indexed citations breakdown →
11.
Wang, Tianhe, Ying Han, Jianping Huang, et al.. (2020). Climatology of Dust‐Forced Radiative Heating Over the Tibetan Plateau and Its Surroundings. Journal of Geophysical Research Atmospheres. 125(17). 44 indexed citations
12.
Cao, Jian, Bo Wang, Bin Wang, et al.. (2020). Sources of the Intermodel Spread in Projected Global Monsoon Hydrological Sensitivity. Geophysical Research Letters. 47(18). 24 indexed citations
13.
Wang, Tianhe, Jingyi Tang, Xinwei Liu, et al.. (2020). Identifying a transport mechanism of dust aerosols over South Asia to the Tibetan Plateau: A case study. The Science of The Total Environment. 758. 143714–143714. 63 indexed citations
14.
Xu, Zhongfeng, Ying Han, & Congbin Fu. (2017). Multivariable integrated evaluation of model performance with the vector field evaluation diagram. Geoscientific model development. 10(10). 3805–3820. 15 indexed citations
15.
Xu, Zhongfeng, et al.. (2016). A diagram for evaluating multiple aspects of model performance in simulating vector fields. Geoscientific model development. 9(12). 4365–4380. 67 indexed citations
16.
Wang, Shuzhi, Congliang Liu, Qifei Du, et al.. (2015). For the first time fengyun3 C satellite-global navigation satellite system occultation sounder achieved spaceborne Bei Dou system radio occultation. Acta Physica Sinica. 64(8). 89301–89301. 19 indexed citations
17.
Han, Ying. (2012). Response of animal husbandry to climate change in desert steppe——A case of Suniteyou Banner,Inner Mongolia. Ganhanqu ziyuan yu huanjing. 2 indexed citations
18.
Ruan, Cunjun, et al.. (2011). Investigation on focus and transport characteristics of high transmission rate sheet electron beam. Acta Physica Sinica. 60(8). 84105–84105. 3 indexed citations
19.
Han, Ying. (2010). Convectively coupled waves in a sheared environment.
20.
Han, Ying, Wu Rongsheng, & Juan Fang. (2006). Shearing wind helicity and thermal wind helicity. Advances in Atmospheric Sciences. 23(4). 504–512. 5 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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