Mingxuan Chen

2.5k total citations
78 papers, 1.4k citations indexed

About

Mingxuan Chen is a scholar working on Atmospheric Science, Global and Planetary Change and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mingxuan Chen has authored 78 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Atmospheric Science, 35 papers in Global and Planetary Change and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mingxuan Chen's work include Meteorological Phenomena and Simulations (35 papers), Climate variability and models (25 papers) and Precipitation Measurement and Analysis (19 papers). Mingxuan Chen is often cited by papers focused on Meteorological Phenomena and Simulations (35 papers), Climate variability and models (25 papers) and Precipitation Measurement and Analysis (19 papers). Mingxuan Chen collaborates with scholars based in China, United States and Hong Kong. Mingxuan Chen's co-authors include Rong Fu, Yingchun Wang, R. E. Dickinson, Xian Xiao, Juanzhen Sun, Robert E. Dickinson, M. J. Filipiak, Hui Wang, Dong L. Wu and Jonathon S. Wright and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Mingxuan Chen

69 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingxuan Chen China 17 908 874 121 92 77 78 1.4k
Mingjun Wang China 21 724 0.8× 382 0.4× 153 1.3× 105 1.1× 107 1.4× 64 1.3k
Fan Ping China 17 491 0.5× 450 0.5× 44 0.4× 60 0.7× 78 1.0× 106 1.0k
Rune Storvold Norway 16 434 0.5× 205 0.2× 144 1.2× 87 0.9× 47 0.6× 48 951
Jianwen Ma China 15 273 0.3× 192 0.2× 207 1.7× 62 0.7× 55 0.7× 77 856
Ibrahim Reda United States 14 417 0.5× 537 0.6× 178 1.5× 66 0.7× 54 0.7× 50 1.5k
Grant Allen United Kingdom 29 1.4k 1.6× 1.6k 1.9× 298 2.5× 21 0.2× 39 0.5× 113 2.3k
Marc Berenguer Spain 21 893 1.0× 881 1.0× 277 2.3× 98 1.1× 20 0.3× 89 1.5k
Gang Hong United States 31 1.7k 1.8× 1.6k 1.9× 140 1.2× 262 2.8× 38 0.5× 98 2.6k
Ziwei Li China 18 505 0.6× 334 0.4× 151 1.2× 44 0.5× 578 7.5× 92 1.2k
Lin Tang China 15 756 0.8× 444 0.5× 273 2.3× 75 0.8× 28 0.4× 56 1.1k

Countries citing papers authored by Mingxuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mingxuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxuan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Mingxuan Chen. A scholar is included among the top collaborators of Mingxuan Chen 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 Mingxuan Chen. Mingxuan Chen 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.
2.
Liu, Yunqing, et al.. (2025). TG-Net: A Physically Interpretable Deep Learning Forecasting Model for Thunderstorm Gusts. Journal of Meteorological Research. 39(1). 59–78.
3.
Wu, Hao, Mingxuan Chen, Hao Cheng, et al.. (2025). Interpretable physics-informed machine learning approaches to accelerate electrocatalyst development. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 5(2). 3 indexed citations
4.
Chen, Mingxuan, Zhibin Wu, Lin Luo, Yuan Yang, & Qiming Mao. (2024). The adsorption behavior and mechanism of antimony in water by jarosite ball milling mixed with nano zero-valent iron. Journal of environmental chemical engineering. 12(5). 113438–113438. 5 indexed citations
5.
Chen, Mingxuan, et al.. (2024). Optical image authentication and encryption scheme with computational ghost imaging. Journal of the Franklin Institute. 361(17). 107203–107203. 12 indexed citations
6.
Song, Linye, et al.. (2024). Climatological Observation and Model Simulation of Near-Surface Hourly Maximum Gust Wind in Northern China. Journal of Applied Meteorology and Climatology. 63(4). 527–542.
7.
Chen, Mingxuan, et al.. (2024). Enhancing the Efficiency of Multi-Electrolyzer Clusters with Lye Mixer: Topology Design and Control Strategy. Energy Engineering. 121(10). 3055–3074. 2 indexed citations
8.
Chen, Mingxuan & W.Y. Szeto. (2023). A static green bike repositioning problem with heavy and light carriers. Transportation Research Part D Transport and Environment. 118. 103711–103711. 3 indexed citations
9.
Chen, Mingxuan, et al.. (2023). A versatile interaction framework for robot programming based on hand gestures and poses. Robotics and Computer-Integrated Manufacturing. 84. 102596–102596. 4 indexed citations
10.
Chen, Mingxuan, et al.. (2023). The Roles of Surface Convergence Line and Upper‐Level Forcing on Convection Initiation Ahead of a Gust Front: A Case Study. Journal of Geophysical Research Atmospheres. 128(3). 2 indexed citations
11.
12.
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
13.
Cao, Weihua, et al.. (2019). A vector blending study based on object-based tracking vectors and cross correlation tracking vectors. 77(6). 1015–1027. 2 indexed citations
14.
Chen, Mingxuan, et al.. (2019). Application of linear programming on quality control of differential propagation phase shift data for X-band dual linear polarimetric Doppler weather radar. 77(3). 516–528. 1 indexed citations
15.
Chen, Mingxuan, et al.. (2018). A human–robot interface for mobile manipulator. Intelligent Service Robotics. 11(3). 269–278. 15 indexed citations
16.
Du, Guanglong, et al.. (2018). Online Robot Teaching With Natural Human–Robot Interaction. IEEE Transactions on Industrial Electronics. 65(12). 9571–9581. 72 indexed citations
17.
Zhang, Wenlong, Yingchun Wang, Xiaopeng Cui, & Mingxuan Chen. (2012). ANALYSIS OF A LOCAL RAIN STORM IN BEIJING ASSOCIATED WITH TWO CONVECTIVE LINES. Journal of Tropical Meteorology. 28(6). 873–887. 1 indexed citations
18.
Chen, Mingxuan. (2011). A low-level thermo-dynamical retrieval system based on the radar data 4DVar and a preliminary analysis of its applications in support of the Beijing 2008 Olympics. Acta Meteorologica Sinica. 1 indexed citations
19.
Zheng, Yongguang, et al.. (2007). Statistic characteristics and weather significance of infrared TBB during May–August in Beijing and its vicinity. Chinese Science Bulletin. 52(24). 3428–3435. 12 indexed citations
20.
Chen, Mingxuan. (2003). Interdecadal Variations of Spring Greenland Sea-ice Extent and Its Relationships with North Atlantic and Arctic Oscillations. Nanjing Qixiang Xueyuan xuebao. 1 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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