Leiming Ma

662 total citations
36 papers, 419 citations indexed

About

Leiming Ma is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Leiming Ma has authored 36 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Atmospheric Science, 16 papers in Global and Planetary Change and 11 papers in Oceanography. Recurrent topics in Leiming Ma's work include Meteorological Phenomena and Simulations (22 papers), Tropical and Extratropical Cyclones Research (14 papers) and Precipitation Measurement and Analysis (12 papers). Leiming Ma is often cited by papers focused on Meteorological Phenomena and Simulations (22 papers), Tropical and Extratropical Cyclones Research (14 papers) and Precipitation Measurement and Analysis (12 papers). Leiming Ma collaborates with scholars based in China, United States and Russia. Leiming Ma's co-authors include Changjiang Zhang, Xiaoqin Lu, Junping Zhang, Yuan Cao, Li Guan, Jie Tang, Dan Wu, Huiyuan Wang, Lei Chen and Liguang Wu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Atmospheric chemistry and physics and International Journal of Remote Sensing.

In The Last Decade

Leiming Ma

33 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leiming Ma China 11 321 200 114 80 35 36 419
Daniele Nerini Switzerland 10 531 1.7× 400 2.0× 118 1.0× 29 0.4× 25 0.7× 24 636
Anirban Middey India 13 252 0.8× 230 1.1× 131 1.1× 46 0.6× 19 0.5× 45 429
Seppo Pulkkinen Finland 10 304 0.9× 250 1.3× 84 0.7× 14 0.2× 17 0.5× 29 411
Xiaohui Zhong China 10 229 0.7× 188 0.9× 79 0.7× 25 0.3× 42 1.2× 23 333
Gutemberg Borges França Brazil 10 100 0.3× 90 0.5× 65 0.6× 51 0.6× 16 0.5× 35 201
Yumeng Tao United States 12 281 0.9× 253 1.3× 144 1.3× 25 0.3× 9 0.3× 16 521
Wenhong Xie China 8 120 0.4× 81 0.4× 90 0.8× 256 3.2× 31 0.9× 13 335
Di Xian China 9 244 0.8× 142 0.7× 67 0.6× 63 0.8× 5 0.1× 19 336
Derek Griffith South Africa 8 101 0.3× 114 0.6× 26 0.2× 54 0.7× 40 1.1× 28 278
Teruo Ohsawa Japan 12 379 1.2× 306 1.5× 148 1.3× 166 2.1× 27 0.8× 47 593

Countries citing papers authored by Leiming Ma

Since Specialization
Citations

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

Fields of papers citing papers by Leiming Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leiming Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Leiming Ma. A scholar is included among the top collaborators of Leiming Ma 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 Leiming Ma. Leiming Ma 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.
Ma, Leiming, et al.. (2025). Representations of the Moore-Penrose inverse of a 2 × 2 block matrix based on Schur complements. Applied Mathematics and Computation. 512. 129776–129776.
2.
Cui, Qian, et al.. (2024). Global aerosol-type classification using a new hybrid algorithm and Aerosol Robotic Network data. Atmospheric chemistry and physics. 24(8). 5025–5045. 6 indexed citations
3.
Zhang, Changjiang, et al.. (2024). Estimation of Tropical Cyclone Size by Combining Sequential Infrared Satellite Images With Multitask Deep Learning. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15. 1 indexed citations
4.
Li, Qian, et al.. (2024). A Deep Contrastive Model for Radar Echo Extrapolation. IEEE Geoscience and Remote Sensing Letters. 22. 1–5.
5.
Ma, Leiming, Haijuan Wang, Hao Li, Peng Yuan, & Jian‐Min Zhang. (2024). Theoretical screening of highly efficient multifunctional single-atom catalysts supported by pc-C 3 N 2 monolayers for the electrocatalytic HER, OER and ORR. New Journal of Chemistry. 49(5). 1672–1685. 3 indexed citations
6.
Zhang, Lijuan, Tzung‐May Fu, Zhiqun Hu, et al.. (2024). Springtime mesoscale convective systems over South China: a historic radar image-based analysis of climatological features, interannual variability, and potential connections with surface aerosol. Environmental Research Letters. 19(2). 24026–24026. 2 indexed citations
7.
Xu, Xiaobiao, et al.. (2023). Structure of the Atlantic Meridional Overturning Circulation in Three Generations of Climate Models. Earth and Space Science. 10(7). 2 indexed citations
8.
Zhang, Changjiang, et al.. (2023). TCCL-DenseFuse: Infrared and Water Vapor Satellite Image Fusion Model Using Deep Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 4778–4800. 3 indexed citations
9.
Zhang, Changjiang, Liu Zhang, Leiming Ma, & Xiaoqin Lu. (2023). Tropical cyclone detection by combining wavelet transform with deep learning using infrared satellite images. International Journal of Remote Sensing. 44(15). 4617–4638. 4 indexed citations
10.
Ma, Leiming, et al.. (2023). Impact of Explicitly Parameterized Mid-to-Low Level Latent Heating on the Simulation of a Squall Line in South China. Water. 15(9). 1743–1743. 1 indexed citations
11.
Li, Qian, et al.. (2022). REMNet: Recurrent Evolution Memory-Aware Network for Accurate Long-Term Weather Radar Echo Extrapolation. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 16 indexed citations
12.
Cao, Yuan, et al.. (2022). Hybrid Weighting Loss for Precipitation Nowcasting from Radar Images. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3738–3742. 4 indexed citations
13.
Wu, Qiong, et al.. (2021). Estimation of Maximum Hail Diameters from FY-4A Satellite Data with a Machine Learning Method. Remote Sensing. 14(1). 73–73. 3 indexed citations
14.
Cao, Yuan, et al.. (2020). A Deep Learning‐Based Methodology for Precipitation Nowcasting With Radar. Earth and Space Science. 7(2). 81 indexed citations
15.
Cao, Yuan, et al.. (2019). A Deep Learning Based Methodology for Precipitation Nowcasting with Radar.. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
16.
Wu, Liguang, et al.. (2019). Variable Raindrop Size Distributions in Different Rainbands Associated With Typhoon Fitow (2013). Journal of Geophysical Research Atmospheres. 124(22). 12262–12281. 30 indexed citations
17.
Zhang, Changjiang, et al.. (2019). Intensity Estimation of Tropical Cyclones Using the Relevance Vector Machine From Infrared Satellite Image Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(3). 763–773. 15 indexed citations
18.
Wu, Dan, Xiaotu Lei, Leiming Ma, et al.. (2017). Improving the extreme rainfall forecast of Typhoon Morakot (2009) by assimilating radar data from Taiwan Island and mainland China. Journal of Meteorological Research. 31(4). 747–766. 7 indexed citations
19.
Ma, Leiming, et al.. (2016). Parametrization of Planetary Boundary-Layer Height with Helicity and Verification with Tropical Cyclone Prediction. Boundary-Layer Meteorology. 160(3). 569–593. 10 indexed citations
20.
Ma, Leiming, et al.. (2005). Four-dimensional variational data assimilation of TRMM data in numerical prediction of TC Danas(2001). Acta Oceanologica Sinica. 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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