Minghui Diao

2.8k total citations · 1 hit paper
41 papers, 1.4k citations indexed

About

Minghui Diao is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Minghui Diao has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Atmospheric Science, 37 papers in Global and Planetary Change and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Minghui Diao's work include Atmospheric aerosols and clouds (35 papers), Atmospheric chemistry and aerosols (35 papers) and Atmospheric Ozone and Climate (11 papers). Minghui Diao is often cited by papers focused on Atmospheric aerosols and clouds (35 papers), Atmospheric chemistry and aerosols (35 papers) and Atmospheric Ozone and Climate (11 papers). Minghui Diao collaborates with scholars based in United States, China and Canada. Minghui Diao's co-authors include Maosheng Yao, Mark A. Zondlo, E. J. Jensen, Daniel M. Murphy, K. D. Froyd, Daniel J. Cziczo, C. H. Twohy, J. B. Smith, Corinna Hoose and Xiaohong Liu and has published in prestigious journals such as Science, Water Research and Journal of Climate.

In The Last Decade

Minghui Diao

39 papers receiving 1.3k citations

Hit Papers

Clarifying the Dominant Sources and Mechanisms of Cirrus ... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minghui Diao United States 16 916 882 234 215 123 41 1.4k
Mingyu Zhou China 22 1.3k 1.4× 1.0k 1.2× 313 1.3× 59 0.3× 25 0.2× 66 1.7k
F. Ravegnani Italy 24 1.2k 1.3× 997 1.1× 126 0.5× 72 0.3× 67 0.5× 97 1.5k
O. S. Ryder United States 14 779 0.9× 349 0.4× 305 1.3× 65 0.3× 38 0.3× 16 1.0k
Robin L. Modini Switzerland 21 746 0.8× 467 0.5× 465 2.0× 77 0.4× 41 0.3× 49 1.1k
Yinghui Liu United States 26 1.5k 1.6× 1.1k 1.2× 40 0.2× 35 0.2× 79 0.6× 57 2.1k
Claudio Carbone Italy 18 1.6k 1.7× 830 0.9× 875 3.7× 44 0.2× 41 0.3× 40 1.9k
Meng‐Dawn Cheng United States 23 556 0.6× 309 0.4× 639 2.7× 115 0.5× 132 1.1× 75 1.3k
Ingrid George United States 22 1.3k 1.4× 510 0.6× 950 4.1× 58 0.3× 112 0.9× 43 1.7k
Nicole E. Olson United States 17 617 0.7× 322 0.4× 357 1.5× 48 0.2× 33 0.3× 26 937
I. R. Burling United States 16 1.8k 2.0× 1.2k 1.3× 828 3.5× 142 0.7× 51 0.4× 22 2.2k

Countries citing papers authored by Minghui Diao

Since Specialization
Citations

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

Fields of papers citing papers by Minghui Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghui Diao

This figure shows the co-authorship network connecting the top 25 collaborators of Minghui Diao. A scholar is included among the top collaborators of Minghui Diao 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 Minghui Diao. Minghui Diao 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
2.
Wang, Dao, et al.. (2024). Validation of Satellite‐Based Cloud Phase Distributions Using Global‐Scale In Situ Airborne Observations. Earth and Space Science. 11(5). 6 indexed citations
3.
Diao, Minghui, et al.. (2024). Partition between supercooled liquid droplets and ice crystals in mixed-phase clouds based on airborne in situ observations. Atmospheric measurement techniques. 17(16). 4843–4861. 2 indexed citations
4.
Desai, Neel, Minghui Diao, Yang Shi, Xiaohong Liu, & Israel Silber. (2023). Ship‐Based Observations and Climate Model Simulations of Cloud Phase Over the Southern Ocean. Journal of Geophysical Research Atmospheres. 128(11). 10 indexed citations
5.
Zhao, Xi, Xiaohong Liu, Susannah M. Burrows, et al.. (2023). Important Ice Processes Are Missed by the Community Earth System Model in Southern Ocean Mixed‐Phase Clouds: Bridging SOCRATES Observations to Model Developments. Journal of Geophysical Research Atmospheres. 128(4). 15 indexed citations
6.
Diao, Minghui, et al.. (2023). Examination of aerosol indirect effects during cirrus cloud evolution. Atmospheric chemistry and physics. 23(2). 1103–1129. 10 indexed citations
7.
Diao, Minghui, Andrew Gettelman, Kai Zhang, et al.. (2021). Ice and Supercooled Liquid Water Distributions Over the Southern Ocean Based on In Situ Observations and Climate Model Simulations. Journal of Geophysical Research Atmospheres. 126(24). 18 indexed citations
8.
O’Neill, Susan, Minghui Diao, Sean Raffuse, et al.. (2021). A multi-analysis approach for estimating regional health impacts from the 2017 Northern California wildfires. Journal of the Air & Waste Management Association. 71(7). 791–814. 31 indexed citations
9.
Diao, Minghui, et al.. (2021). Effects of thermodynamics, dynamics and aerosols on cirrus clouds based on in situ observations and NCAR CAM6. Atmospheric chemistry and physics. 21(3). 1835–1859. 19 indexed citations
10.
Sanchez, Kevin J., Greg Roberts, Minghui Diao, & Lynn M. Russell. (2020). Measured Constraints on Cloud Top Entrainment to Reduce Uncertainty of Nonprecipitating Stratocumulus Shortwave Radiative Forcing in the Southern Ocean. Geophysical Research Letters. 47(21). 5 indexed citations
12.
Diao, Minghui, Tracey Holloway, Susan O’Neill, et al.. (2019). Methods, availability, and applications of PM2.5 exposure estimates derived from ground measurements, satellite, and atmospheric models. Journal of the Air & Waste Management Association. 69(12). 1391–1414. 81 indexed citations
13.
Diao, Minghui, F. Freedman, Mohammad Z. Al‐Hamdan, & Akula Venkatram. (2019). Assisting Bay Area Air Pollution Management of Surface PM2.5 by Using Satellite AOD Data. 1 indexed citations
14.
Diao, Minghui, et al.. (2019). Satellite applications for analysis of surface PM 2.5 concentrations in California and contiguous U.S.. AGU Fall Meeting Abstracts. 2019. 2 indexed citations
15.
Diao, Minghui, F. Freedman, Mohammad Z. Al‐Hamdan, & Akula Venkatram. (2018). Progress on the Use of MODIS Aerosol Optical Depth for Fine-Scale PM Analysis: Case Studies for California. AGU Fall Meeting Abstracts. 2018. 4 indexed citations
16.
Wu, Chenglai, Xiaohong Liu, Minghui Diao, et al.. (2017). Direct comparisons of ice cloud macro- and microphysical properties simulated by the Community Atmosphere Model version 5 with HIPPO aircraft observations. Atmospheric chemistry and physics. 17(7). 4731–4749. 13 indexed citations
17.
Tan, Xiaoxiao, Minghui Diao, Aaron Bansemer, et al.. (2016). An Assessment of the Radiative Effects of Ice Supersaturation Based on in Situ Observations. eScholarship@McGill (McGill). 2016. 3 indexed citations
18.
Diao, Minghui, Mark A. Zondlo, Andrew J. Heymsfield, et al.. (2014). Cloud-scale ice-supersaturated regions spatially correlate with high water vapor heterogeneities. Atmospheric chemistry and physics. 14(5). 2639–2656. 33 indexed citations
19.
DiGangi, Joshua P., A. O’Brien, Minghui Diao, Stuart P. Beaton, & Mark A. Zondlo. (2013). Effects of Deep Convection on Upper Tropospheric Outflow Ice Supersaturation and Cirrus Cloud Formation. AGUFM. 2013. 1 indexed citations
20.
Diao, Minghui & Maosheng Yao. (2009). Use of zero-valent iron nanoparticles in inactivating microbes. Water Research. 43(20). 5243–5251. 266 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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