Yali Luo

7.1k total citations
96 papers, 3.3k citations indexed

About

Yali Luo is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Yali Luo has authored 96 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Atmospheric Science, 83 papers in Global and Planetary Change and 8 papers in Environmental Engineering. Recurrent topics in Yali Luo's work include Meteorological Phenomena and Simulations (80 papers), Climate variability and models (69 papers) and Tropical and Extratropical Cyclones Research (33 papers). Yali Luo is often cited by papers focused on Meteorological Phenomena and Simulations (80 papers), Climate variability and models (69 papers) and Tropical and Extratropical Cyclones Research (33 papers). Yali Luo collaborates with scholars based in China, United States and United Kingdom. Yali Luo's co-authors include Mengwen Wu, Da‐Lin Zhang, Renhe Zhang, Yangruixue Chen, Wai Kin Wong, Ling Huang, Zhengzhao Luo, Hui Wang, Ben Jong‐Dao Jou and Fei Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Journal of Climate.

In The Last Decade

Yali Luo

93 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yali Luo China 35 2.9k 2.8k 310 155 153 96 3.3k
Eduardo García‐Ortega Spain 28 1.8k 0.6× 1.9k 0.7× 355 1.1× 57 0.4× 210 1.4× 70 2.3k
Sophie Bastin France 28 1.8k 0.6× 1.7k 0.6× 263 0.8× 377 2.4× 125 0.8× 72 2.3k
Zhe Feng United States 30 2.9k 1.0× 2.8k 1.0× 180 0.6× 222 1.4× 125 0.8× 129 3.2k
Stanley B. Trier United States 34 3.1k 1.1× 3.3k 1.2× 495 1.6× 245 1.6× 124 0.8× 62 3.6k
W. James Steenburgh United States 31 2.4k 0.8× 2.6k 0.9× 294 0.9× 228 1.5× 213 1.4× 82 2.9k
Yunfei Fu China 32 2.3k 0.8× 2.6k 0.9× 300 1.0× 271 1.7× 118 0.8× 149 3.0k
Yaocun Zhang China 29 2.8k 0.9× 2.6k 0.9× 273 0.9× 583 3.8× 141 0.9× 135 3.0k
F. Joseph Turk United States 27 2.2k 0.7× 3.0k 1.1× 724 2.3× 340 2.2× 287 1.9× 95 3.4k
R. N. B. Smith United Kingdom 11 1.8k 0.6× 1.8k 0.6× 206 0.7× 232 1.5× 69 0.5× 13 2.0k
Kyu‐Myong Kim United States 25 2.2k 0.8× 2.1k 0.8× 107 0.3× 210 1.4× 64 0.4× 64 2.5k

Countries citing papers authored by Yali Luo

Since Specialization
Citations

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

Fields of papers citing papers by Yali Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yali Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Yali Luo. A scholar is included among the top collaborators of Yali Luo 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 Yali Luo. Yali Luo 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.
Li, Huiqi, Yongjie Huang, Yali Luo, et al.. (2023). Does “right” simulated extreme rainfall result from the “right” representation of rain microphysics?. Quarterly Journal of the Royal Meteorological Society. 149(757). 3220–3249. 6 indexed citations
2.
Zhang, Da‐Lin, et al.. (2023). Influences of Urbanization on an Afternoon Heavy Rainfall Event over the Yangtze River Delta Region. Monthly Weather Review. 151(3). 815–832. 10 indexed citations
3.
4.
Li, Haoran, et al.. (2023). Assessing specific differential phase ( K DP )-based quantitative precipitation estimation for the record- breaking rainfall over Zhengzhou city on 20 July 2021. Hydrology and earth system sciences. 27(5). 1033–1046. 11 indexed citations
5.
Zhang, Xubin, et al.. (2023). Impacts of Increasing Model Resolutions and Shortening Forecast Lead Times on QPFs in South China During the Rainy Season. Journal of Tropical Meteorology. 29(3). 277–300. 1 indexed citations
6.
7.
Liu, Xi, Yali Luo, Ling Huang, Da‐Lin Zhang, & Zhaoyong Guan. (2020). Roles of Double Low‐Level Jets in the Generation of Coexisting Inland and Coastal Heavy Rainfall Over South China During the Presummer Rainy Season. Journal of Geophysical Research Atmospheres. 125(18). 41 indexed citations
8.
Furtado, Kalli, et al.. (2020). The effects of cloud–aerosol interaction complexity on simulations of presummer rainfall over southern China. Atmospheric chemistry and physics. 20(8). 5093–5110. 14 indexed citations
9.
Yin, Jinfang, et al.. (2020). On the Extreme Rainfall Event of 7 May 2017 over the Coastal City of Guangzhou. Part I: Impacts of Urbanization and Orography. Monthly Weather Review. 148(3). 955–979. 102 indexed citations
10.
Li, Mingxin, Yali Luo, Da‐Lin Zhang, et al.. (2020). Analysis of a Record-Breaking Rainfall Event Associated With a Monsoon Coastal Megacity of South China Using Multisource Data. IEEE Transactions on Geoscience and Remote Sensing. 59(8). 6404–6414. 35 indexed citations
11.
Luo, Yali, et al.. (2019). Statistical Characteristics of Pre-summer Rainfall over South China and Associated Synoptic Conditions. Journal of the Meteorological Society of Japan Ser II. 98(1). 213–233. 55 indexed citations
12.
Luo, Yali, Rudi Xia, & Johnny C. L. Chan. (2019). Characteristics, Physical Mechanisms, and Prediction of Pre-summer Rainfall over South China: Research Progress during 2008–2019. Journal of the Meteorological Society of Japan Ser II. 98(1). 19–42. 71 indexed citations
13.
Yun, Yuxing, et al.. (2019). Simulating Warm-Season Precipitation in China with a Convection-Permitting Regional Climate Model. EGU General Assembly Conference Abstracts. 12043. 1 indexed citations
14.
Luo, Yali, Liye Li, Richard H. Johnson, et al.. (2019). Science and prediction of monsoon heavy rainfall. Science Bulletin. 64(21). 1557–1561. 12 indexed citations
15.
Liu, Xi, Yali Luo, Zhaoyong Guan, & Da‐Lin Zhang. (2018). An Extreme Rainfall Event in Coastal South China During SCMREX‐2014: Formation and Roles of Rainband and Echo Trainings. Journal of Geophysical Research Atmospheres. 123(17). 9256–9278. 71 indexed citations
16.
Furtado, Kalli, Paul R. Field, Yali Luo, et al.. (2018). Cloud Microphysical Factors Affecting Simulations of Deep Convection During the Presummer Rainy Season in Southern China. Journal of Geophysical Research Atmospheres. 123(18). 26 indexed citations
17.
Seneviratne, Sonia I., Neville Nicholls, David R. Easterling, et al.. (2012). Changes in climate extremes and their impacts on the natural physical environment: An overview of the IPCC SREX report. EGU General Assembly Conference Abstracts. 12566. 48 indexed citations
18.
Zhang, Renhe, et al.. (2011). South China Heavy Rainfall Experiments (SCHeREX). Journal of the Meteorological Society of Japan Ser II. 89A. 153–166. 37 indexed citations
19.
Morrison, Hugh, Paquita Zuidema, Andrew S. Ackerman, et al.. (2011). Intercomparison of cloud model simulations of Arctic mixed-phase boundary layer clouds observed during SHEBA/FIRE-ACE. Journal of Advances in Modeling Earth Systems. 3(2). n/a–n/a. 103 indexed citations
20.
Luo, Yali. (2003). Evaluation of cloud properties in atmospheric models using cloud-scale observations. PhDT. 2 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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