Banglin Zhang

1.8k total citations
85 papers, 1.2k citations indexed

About

Banglin Zhang is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Banglin Zhang has authored 85 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Global and Planetary Change, 56 papers in Atmospheric Science and 19 papers in Oceanography. Recurrent topics in Banglin Zhang's work include Climate variability and models (52 papers), Meteorological Phenomena and Simulations (44 papers) and Tropical and Extratropical Cyclones Research (22 papers). Banglin Zhang is often cited by papers focused on Climate variability and models (52 papers), Meteorological Phenomena and Simulations (44 papers) and Tropical and Extratropical Cyclones Research (22 papers). Banglin Zhang collaborates with scholars based in China, United States and Macao. Banglin Zhang's co-authors include R. T. Pinker, Ellsworth G Dutton, Vijay Tallapragada, Wenju Cai, Wenjie Dong, Qingfu Liu, Yuping Guan, Xiaodan Guan, Lixin Wu and Jianping Huang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Science of The Total Environment.

In The Last Decade

Banglin Zhang

74 papers receiving 1.2k citations

Peers

Banglin Zhang

GPC

OCEAN

Shuai Hu China

Cheng‐Chien Liu Taiwan

Jui‐Lin F. Li United States

Yuan Yuan China

Shaocheng Zhang China

Koji Kato Japan

Michael Herzog United Kingdom

Qiang Ji United States

Qing Wang United States

Xuelong Chen China

Shuai Hu China

Banglin Zhang

651 ×0.9

GPC

590 ×0.8

127 ×0.8

OCEAN

26 ×0.2

70 ×0.9

Citations per year, relative to Banglin Zhang Banglin Zhang (= 1×) peers Shuai Hu

Countries citing papers authored by Banglin Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Banglin Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Banglin Zhang

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

All Works

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20 of 20 papers shown

Feng, Yerong, et al.. (2025). Nowcasting of a Warm‐Sector Rainfall Event in Southern China With the TRAMS Model: Sensitivity to Different Radar Reflectivity Retrieval Methods and Incremental Updating Strategies. Earth and Space Science. 12(1). 1 indexed citations

Feng, Yerong, et al.. (2025). The source of low-level wind forecast error and its influence on simulating the Guangzhou extreme rainfall on 7 May, 2017 using high-resolution TRAMS model. Meteorology and Atmospheric Physics. 137(1). 1 indexed citations

Gao, Cuicui, et al.. (2025). Increased Vertical Resolution of Initial Field in TRAMS Model Leads to Spurious Convection Over Sea Surface in Simulating a Typical Warm Sector Rainfall Event in the Southern China. Meteorological Applications. 32(5).

Leung, Jeremy Cheuk‐Hin, Bin Chen, Naigeng Wu, et al.. (2025). AI models still lag behind traditional numerical models in predicting sudden-turning typhoons. Science Bulletin. 70(17). 2705–2708.

Leung, Jeremy Cheuk‐Hin, et al.. (2025). Microphysical Characteristics of Summer Precipitation over the Taklamakan Desert Based on GPM-DPR Data from 2014 to 2023. Atmosphere. 16(4). 354–354.

Leung, Jeremy Cheuk‐Hin, et al.. (2025). A general framework quantifying variability in spatial inhomogeneity of global precipitation and its contribution. Climate Dynamics. 63(2).

He, Wenjie, Yi Yang, Jeremy Cheuk‐Hin Leung, et al.. (2025). Enhancing MJO Convective Activity in the Twentieth Century. Journal of Climate. 38(23). 7151–7164.

Yu, Dan, et al.. (2024). A 1D Convolutional Neural Network (1D-CNN) Temporal Filter for Atmospheric Variability: Reducing the Sensitivity of Filtering Accuracy to Missing Data Points. Applied Sciences. 14(14). 6289–6289. 5 indexed citations

Leung, Jeremy Cheuk‐Hin, et al.. (2024). Observed northward shift of large hailstorms in the eastern United States since 2000. Environmental Research Letters. 19(2). 24010–24010. 1 indexed citations

10.

Leung, Jeremy Cheuk‐Hin, et al.. (2024). An incremental analysis update in the framework of the four‐dimensional variational data assimilation: Description and preliminary tests in the operational China Meteorological Administration Global Forecast System. Quarterly Journal of the Royal Meteorological Society. 150(761). 2104–2122.

11.

Xu, Feng, Jeremy Cheuk‐Hin Leung, Liguo Han, et al.. (2023). Heat balance characteristics in the South China Sea and surrounding areas simulated using the TRAMS model—a case study of a summer heavy rain and a winter cold spell. Frontiers in Earth Science. 10. 1 indexed citations

12.

Leung, Marco Y. T., Ruhua Zhang, Wen Zhou, et al.. (2023). Bias and Uncertainty of the Relationship between AO and Winter Synoptic Temperature Variability over the Northern Hemisphere under Present and Future Climate. Journal of Climate. 36(10). 3245–3259. 2 indexed citations

13.

Chen, Yuxiao, et al.. (2023). Systematic diurnal bias of the CMA-MESO model in southern China: Characteristics and correction. Frontiers in Earth Science. 11. 1 indexed citations

14.

Qian, Weihong, Jeremy Cheuk‐Hin Leung, & Banglin Zhang. (2023). An Orthogonal Collision Dynamic Mechanism of Wave-Like Uplift Plateaus in Southern Asia. Open Journal of Geology. 13(8). 828–846. 3 indexed citations

15.

Jin, Jiangbo, Xiao Dong, Juanxiong He, et al.. (2023). A Regional Air‐Sea Coupled Model Developed for the East Asia and Western North Pacific Monsoon Region. Journal of Geophysical Research Atmospheres. 128(7). 2 indexed citations

16.

Huang, Hong, et al.. (2023). Recent Unusual Consecutive Spring Tropical Cyclones in North Atlantic and Winter Oceanic Precursor Signals. Journal of Meteorological Research. 37(2). 208–217. 1 indexed citations

17.

Leung, Jeremy Cheuk‐Hin, et al.. (2022). Differential expansion speeds of Indo-Pacific warm pool and deep convection favoring pool under greenhouse warming. npj Climate and Atmospheric Science. 5(1). 17 indexed citations

18.

Wang, Jiamin, Yuping Guan, Lixin Wu, et al.. (2021). Changing Lengths of the Four Seasons by Global Warming. Geophysical Research Letters. 48(6). 132 indexed citations

19.

Zhou, Luxi, Donna Schwede, K. Wyat Appel, et al.. (2018). The impact of air pollutant deposition on solar energy system efficiency: An approach to estimate PV soiling effects with the Community Multiscale Air Quality (CMAQ) model. The Science of The Total Environment. 651(Pt 1). 456–465. 25 indexed citations

20.

Zhang, Banglin. (2018). Impact of Assimilating Aircraft Reconnaissance Observations in Operational HWRF on Improving Hurricane Forecast for the 2017 Atlantic High-Impact Storms.

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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