Ming Hu

3.3k total citations · 2 hit papers
44 papers, 2.4k citations indexed

About

Ming Hu is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Ming Hu has authored 44 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Atmospheric Science, 30 papers in Global and Planetary Change and 5 papers in Environmental Engineering. Recurrent topics in Ming Hu's work include Meteorological Phenomena and Simulations (28 papers), Climate variability and models (23 papers) and Atmospheric chemistry and aerosols (9 papers). Ming Hu is often cited by papers focused on Meteorological Phenomena and Simulations (28 papers), Climate variability and models (23 papers) and Atmospheric chemistry and aerosols (9 papers). Ming Hu collaborates with scholars based in United States, China and United Kingdom. Ming Hu's co-authors include Ming Xue, Keith Brewster, Stanley G. Benjamin, Stephen S. Weygandt, Curtis R. Alexander, Eric James, Tatiana G. Smirnova, David C. Dowell, John M. Brown and Jaymes S. Kenyon and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Hazardous Materials and Geophysical Research Letters.

In The Last Decade

Ming Hu

40 papers receiving 2.4k citations

Hit Papers

A North American Hourly A... 2015 2026 2018 2022 2015 2022 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ming Hu 2.2k 1.8k 470 141 131 44 2.4k
Tatiana G. Smirnova 2.6k 1.2× 2.4k 1.3× 546 1.2× 66 0.5× 144 1.1× 33 3.0k
Geoffrey S. Manikin 1.7k 0.8× 1.6k 0.9× 383 0.8× 97 0.7× 101 0.8× 18 2.1k
Stephen S. Weygandt 2.3k 1.1× 2.1k 1.1× 514 1.1× 45 0.3× 131 1.0× 30 2.7k
Christine Lac 1.9k 0.9× 1.7k 1.0× 588 1.3× 172 1.2× 143 1.1× 66 2.3k
Lewis D. Grasso 1.9k 0.9× 1.6k 0.9× 395 0.8× 151 1.1× 375 2.9× 34 2.2k
Eric James 1.4k 0.6× 1.3k 0.7× 303 0.6× 111 0.8× 106 0.8× 55 1.8k
U. Corsmeier 1.7k 0.8× 1.5k 0.8× 597 1.3× 406 2.9× 101 0.8× 80 2.1k
Yann Seity 1.2k 0.5× 1.1k 0.6× 304 0.6× 46 0.3× 143 1.1× 35 1.5k
Giovanni Martucci 1.4k 0.6× 1.3k 0.7× 463 1.0× 261 1.9× 132 1.0× 56 1.8k
Norbert Kalthoff 2.8k 1.3× 2.6k 1.4× 865 1.8× 354 2.5× 105 0.8× 140 3.3k

Countries citing papers authored by Ming Hu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Hu. A scholar is included among the top collaborators of Ming Hu 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 Ming Hu. Ming Hu 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.
Zhao, Yinying, Jing Jin, Ming Hu, et al.. (2025). Evaluation of safety and stability after intraocular lens implantation using a novel material-crosslinked polyisobutylene: preliminary study. Journal of Cataract & Refractive Surgery. 51(9). 756–761.
3.
Gao, Song, et al.. (2025). Insight into VOCs source profiles by machine learning: Role of commonalities in synergistic pollution controls. Journal of Hazardous Materials. 492. 138222–138222. 4 indexed citations
4.
Zhang, Qiyong, et al.. (2025). Influence of potassium salt on cracking behavior of purple soil under wetting–drying cycles. Soil and Tillage Research. 252. 106599–106599. 1 indexed citations
5.
Zhang, Shu, et al.. (2024). Exploring the Spatiotemporal Changes and Driving Forces of Ecosystem Services of Zhejiang Coasts, China, Under Sustainable Development Goals. Chinese Geographical Science. 34(4). 647–661. 9 indexed citations
7.
Hu, Ming, et al.. (2024). Endovenous radiofrequency ablation vs laser ablation in patients with lower extremity varicose veins: A meta-analysis. Journal of Vascular Surgery Venous and Lymphatic Disorders. 12(5). 101842–101842. 6 indexed citations
8.
Lu, Cheng‐Hsuan, et al.. (2022). The Aerosol Module in the Community Radiative Transfer Model (v2.2 and v2.3): accounting for aerosol transmittance effects on the radiance observation operator. Geoscientific model development. 15(3). 1317–1329. 5 indexed citations
9.
Benjamin, Stanley G., Tatiana G. Smirnova, Eric James, et al.. (2022). Land–Snow Data Assimilation Including a Moderately Coupled Initialization Method Applied to NWP. Journal of Hydrometeorology. 23(6). 825–845. 14 indexed citations
10.
James, Eric, Curtis R. Alexander, David C. Dowell, et al.. (2022). The High-Resolution Rapid Refresh (HRRR): An Hourly Updating Convection-Allowing Forecast Model. Part II: Forecast Performance. Weather and Forecasting. 37(8). 1397–1417. 79 indexed citations
12.
Benjamin, Stanley G., Eric James, Ming Hu, et al.. (2021). Stratiform Cloud-Hydrometeor Assimilation for HRRR and RAP Model Short-Range Weather Prediction. Monthly Weather Review. 19 indexed citations
13.
Beck, Jeffrey, John M. Brown, Jimy Dudhia, et al.. (2020). An Evaluation of a Hybrid, Terrain-Following Vertical Coordinate in the WRF-Based RAP and HRRR Models. Weather and Forecasting. 35(3). 1081–1096. 19 indexed citations
14.
Dowell, David C., Curtis R. Alexander, Ming Hu, et al.. (2019). Development of the High-Resolution Rapid Refresh (HRRR) Version 4 and Transition to an FV3-Based Rapid Refresh Forecast System (RRFS). EGU General Assembly Conference Abstracts. 12345. 1 indexed citations
15.
Alexander, Curtis R., David C. Dowell, Stephen S. Weygandt, et al.. (2016). The hourly updated US High-Resolution Rapid Refresh (HRRR) storm-scale forecast model. EGU General Assembly Conference Abstracts. 3 indexed citations
16.
Shao, Hui, John Derber, Huang Xiangyu, et al.. (2015). Bridging Research to Operations Transitions: Status and Plans of Community GSI. Bulletin of the American Meteorological Society. 97(8). 1427–1440. 77 indexed citations
17.
Pagowski, Mariusz, et al.. (2014). Implementation of aerosol assimilation in Gridpoint Statistical Interpolation (v. 3.2) and WRF-Chem (v. 3.4.1). Geoscientific model development. 7(4). 1621–1627. 41 indexed citations
18.
Zhao, Yongwei, et al.. (2007). Sub-glacial geology of Antarctica: A preliminary investigation and results in the Grove Mountains and the Vestfold Hills, East Antarctica and its tectonic implication. 2 indexed citations
19.
Hu, Ming & Ming Xue. (2007). Implementation and evaluation of cloud analysis with WSR‐88D reflectivity data for GSI and WRF‐ARW. Geophysical Research Letters. 34(7). 15 indexed citations
20.
Hu, Ming. (2004). Prediction of Fort Worth Tornadic Thunderstorms using 3DVAR and Cloud analysis with WSR-88D Level-II Data. 11th Conference on Aviation, Range, and Aerospace and the 22nd Conference on Severe Local Storms. 3 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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