Hui Yu

3.2k total citations · 2 hit papers
84 papers, 2.4k citations indexed

About

Hui Yu is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Hui Yu has authored 84 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Atmospheric Science, 56 papers in Global and Planetary Change and 31 papers in Oceanography. Recurrent topics in Hui Yu's work include Tropical and Extratropical Cyclones Research (75 papers), Climate variability and models (50 papers) and Meteorological Phenomena and Simulations (34 papers). Hui Yu is often cited by papers focused on Tropical and Extratropical Cyclones Research (75 papers), Climate variability and models (50 papers) and Meteorological Phenomena and Simulations (34 papers). Hui Yu collaborates with scholars based in China, United States and Russia. Hui Yu's co-authors include Xiaoqin Lu, Ming Ying, Yongxiang Fan, Jingxian Feng, Wei Zhang, Dequan Chen, Zhu Yongti, Rijin Wan, Lina Bai and Bingke Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Hui Yu

76 papers receiving 2.3k citations

Hit Papers

An Overview of the China Meteorological Administration Tr... 2013 2026 2017 2021 2013 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui Yu China 20 2.1k 1.5k 929 166 138 84 2.4k
Margarida L. R. Liberato Portugal 28 1.2k 0.6× 1.5k 1.0× 223 0.2× 71 0.4× 90 0.7× 71 1.9k
Álvaro Semedo Portugal 25 1.4k 0.7× 1.0k 0.7× 1.6k 1.7× 614 3.7× 103 0.7× 59 2.4k
Prasad K. Bhaskaran India 22 778 0.4× 468 0.3× 904 1.0× 373 2.2× 144 1.0× 67 1.4k
Stefan Zieger Australia 17 1.4k 0.6× 490 0.3× 1.8k 2.0× 717 4.3× 91 0.7× 41 2.3k
Reza Marsooli United States 20 644 0.3× 521 0.3× 274 0.3× 474 2.9× 139 1.0× 53 1.4k
Jianping Tang China 28 2.0k 0.9× 2.3k 1.5× 180 0.2× 29 0.2× 319 2.3× 184 2.8k
Xiefei Zhi China 25 1.2k 0.6× 1.4k 0.9× 256 0.3× 23 0.1× 198 1.4× 134 1.7k
Mark Reyers Germany 20 1.0k 0.5× 1.1k 0.7× 253 0.3× 81 0.5× 87 0.6× 42 1.6k
Sabique Langodan Saudi Arabia 20 663 0.3× 652 0.4× 418 0.4× 131 0.8× 91 0.7× 48 1.2k
Yong‐Sang Choi South Korea 24 1.6k 0.7× 1.6k 1.1× 149 0.2× 48 0.3× 207 1.5× 105 2.1k

Countries citing papers authored by Hui Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hui Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Yu. A scholar is included among the top collaborators of Hui Yu 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 Hui Yu. Hui Yu 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.
Tang, Jie, et al.. (2025). The Boundary Layer Wind Characteristics of Typhoon Muifa (2022) at Lujiazui, Shanghai Observed by A Ground‐Based Doppler Wind Lidar. Journal of Geophysical Research Atmospheres. 130(6). 1 indexed citations
2.
Lian, Jie, et al.. (2025). Multimodal Fusion Learning for Predicting Tropical Cyclone Intensity Over Western North Pacific. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 7048–7063. 1 indexed citations
3.
Ao, Xiangyu, et al.. (2025). Numerical Simulation of Urban Impacts on Tropical Cyclone Wind Field Structures Over the Yangtze River Delta Region. Journal of Geophysical Research Atmospheres. 130(8).
4.
Huang, Hao, Tianqi Wang, Hui Yu, et al.. (2024). rGO doped MOFs-derived CuO nanocomposites as flexible room-temperature sensors for ppb-level H2S detection. Sensors and Actuators B Chemical. 422. 136596–136596. 30 indexed citations
5.
Lian, Jie, et al.. (2024). TerraWind: A Deep Learning‐Based Near‐Surface Winds Downscaling Model for Complex Terrain Region. Geophysical Research Letters. 51(23).
6.
Yu, Hui, Guomin Chen, Wai Kin Wong, et al.. (2024). WMO Typhoon Landfall Forecast Demonstration Project (2010–22): A Decade of Transition from Track Forecasts to Impact Forecasts. Bulletin of the American Meteorological Society. 105(7). E1320–E1349. 3 indexed citations
7.
8.
Chen, Guomin, et al.. (2016). Performance of Tropical Cyclone Forecast in Western North Pacific in 2015. SHILAP Revista de lepidopterología. 8 indexed citations
9.
Yu, Hui, Guomin Chen, & Rijin Wan. (2015). A Multi-Model Consensus Forecast Technique for Tropical Cyclone Intensity Based on Model Output Calibration. SHILAP Revista de lepidopterología. 3 indexed citations
10.
Chen, Guomin, et al.. (2015). Verification of Ensemble Track Forecasts of Tropical Cyclones During 2014. SHILAP Revista de lepidopterología. 5 indexed citations
11.
Ying, Ming, Wei Zhang, Hui Yu, et al.. (2013). An Overview of the China Meteorological Administration Tropical Cyclone Database. Journal of Atmospheric and Oceanic Technology. 31(2). 287–301. 936 indexed citations breakdown →
12.
Wu, Dan, et al.. (2013). Rapid Intensification Near Landfall of Typhoon Vicente (2012). SHILAP Revista de lepidopterología. 3 indexed citations
13.
Lu, Xiaoqin & Hui Yu. (2013). An Objective Tropical Cyclone Intensity Estimation Model Based on Digital IR Satellite Images. SHILAP Revista de lepidopterología. 9 indexed citations
14.
Zeng, Zhihua, et al.. (2013). The performance of global models in TC track forecasting over the western North Pacific from 2010 to 2012. SHILAP Revista de lepidopterología. 2(3). 149–158. 29 indexed citations
15.
Yu, Hui, Guomin Chen, & Barbara G. Brown. (2013). A New Verification Measure for Tropical Cyclone Track Forecasts and its Experimental Application. SHILAP Revista de lepidopterología. 2(4). 185–195. 8 indexed citations
16.
Yu, Hui, et al.. (2012). Operational Tropical Cyclone Forecast Verification Practice in the Western North Pacific Region. SHILAP Revista de lepidopterología. 29 indexed citations
17.
Tang, Xu, Xiaotu Lei, & Hui Yu. (2012). WMO Typhoon Landfall Forecast Demonstration Projects (WMO-TLFDP) —Concept and Progress. SHILAP Revista de lepidopterología. 1(1). 89–96. 11 indexed citations
18.
Yu, Hui. (2011). Grassland biomass dynamic monitoring in Gannan prefecture based on the microwave vegetation indices. Journal of Lanzhou University. 2 indexed citations
19.
Liang, Xudong, et al.. (2007). Precipitation Simulation Using Different Cloud-Precipitation Schemes for a Landfall Typhoon. Gaoyuan qixiang. 26(5). 891–900. 4 indexed citations
20.
Yu, Hui. (2006). A Statistical Analysis on the Effect of Vertical Wind Shear on Tropical Cyclone Development. Acta Meteorologica Sinica. 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.

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