Run Ma

940 total citations
21 papers, 551 citations indexed

About

Run Ma is a scholar working on Global and Planetary Change, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Run Ma has authored 21 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 17 papers in Atmospheric Science and 5 papers in Artificial Intelligence. Recurrent topics in Run Ma's work include Atmospheric aerosols and clouds (16 papers), Atmospheric chemistry and aerosols (12 papers) and Solar Radiation and Photovoltaics (5 papers). Run Ma is often cited by papers focused on Atmospheric aerosols and clouds (16 papers), Atmospheric chemistry and aerosols (12 papers) and Solar Radiation and Photovoltaics (5 papers). Run Ma collaborates with scholars based in China, Japan and France. Run Ma's co-authors include Husi Letu, Jiancheng Shi, Huazhe Shang, Tianxing Wang, Takashi Y. Nakajima, Liangfu Chen, Kun Yang, J. Riédi, Chong Shi and Chunxiang Shi and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Run Ma

17 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Run Ma China 9 434 366 160 52 46 21 551
Mayumi Yoshida Japan 11 466 1.1× 447 1.2× 50 0.3× 23 0.4× 64 1.4× 34 558
Keith D. Hutchison United States 13 470 1.1× 413 1.1× 60 0.4× 58 1.1× 90 2.0× 29 554
Francesco Di Paola Italy 17 355 0.8× 447 1.2× 63 0.4× 17 0.3× 168 3.7× 48 604
Guido Müller Switzerland 4 701 1.6× 579 1.6× 292 1.8× 29 0.6× 66 1.4× 5 885
Lars Klüser Germany 13 417 1.0× 355 1.0× 180 1.1× 13 0.3× 55 1.2× 19 552
Nandana Amarasinghe United States 5 675 1.6× 616 1.7× 61 0.4× 32 0.6× 35 0.8× 9 729
K. Dehne Australia 4 632 1.5× 540 1.5× 241 1.5× 28 0.5× 64 1.4× 5 806
Lan Feng China 11 291 0.7× 191 0.5× 152 0.9× 48 0.9× 74 1.6× 24 451
Robert Höller Austria 9 303 0.7× 353 1.0× 52 0.3× 25 0.5× 39 0.8× 22 487
Michele L. Nordeen United States 9 716 1.6× 669 1.8× 59 0.4× 12 0.2× 28 0.6× 26 787

Countries citing papers authored by Run Ma

Since Specialization
Citations

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

Fields of papers citing papers by Run Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Run Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Run Ma. A scholar is included among the top collaborators of Run 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 Run Ma. Run 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.
Wang, Su, Tie Dai, Xiangao Xia, et al.. (2025). Online-Coupled Aerosol Effects on Cloud Microphysics and Surface Solar Irradiance in WRF-Solar. Remote Sensing. 17(16). 2829–2829.
2.
Wang, Su, Gang Huang, Tie Dai, et al.. (2025). Investigating the role of aerosol wet scavenging on global horizontal irradiance simulation in the WRF-Chem-solar model. Applied Energy. 396. 126062–126062. 2 indexed citations
3.
Shang, Huazhe, et al.. (2025). Remote sensing of liquid cloud profiles based on an analytical cloud profiling model. Science China Earth Sciences. 68(4). 998–1012.
4.
5.
Fan, Wenjie, et al.. (2025). High spatiotemporal resolution vegetation FAPAR estimation from Sentinel-2 based on the spectral invariant theory. Science of Remote Sensing. 11. 100207–100207. 1 indexed citations
6.
7.
He, Yan, et al.. (2024). Advancing SWAT Model Calibration: A U-NSGA-III-Based Framework for Multi-Objective Optimization. Water. 16(21). 3030–3030. 3 indexed citations
8.
Shi, Chong, Husi Letu, Run Ma, et al.. (2023). Evaluation and uncertainty analysis of Himawari-8 hourly aerosol product version 3.1 and its influence on surface solar radiation before and during the COVID-19 outbreak. The Science of The Total Environment. 892. 164456–164456. 7 indexed citations
9.
Tana, Gegen, Xu Ri, Chong Shi, et al.. (2023). Retrieval of cloud microphysical properties from Himawari-8/AHI infrared channels and its application in surface shortwave downward radiation estimation in the sun glint region. Remote Sensing of Environment. 290. 113548–113548. 42 indexed citations
10.
Letu, Husi, Takashi Y. Nakajima, Tianxing Wang, et al.. (2023). Deriving a New Standard: An All-Sky Surface Radiation Dataset from Himawari-8 for the East Asia–Pacific Region. Bulletin of the American Meteorological Society. 104(5). 331–334.
11.
Ma, Run, Huazhe Shang, Jian Xu, et al.. (2022). Influence of multilayer cloud characteristics on cloud retrieval and estimation of surface downward shortwave radiation. Frontiers in Environmental Science. 10. 2 indexed citations
12.
Shang, Huazhe, et al.. (2021). Cloud detection algorithm based on GF-5 DPC data. National Remote Sensing Bulletin. 25(10). 2053–2066. 4 indexed citations
13.
Ma, Run, Husi Letu, Kun Yang, et al.. (2020). Estimation of Surface Shortwave Radiation From Himawari-8 Satellite Data Based on a Combination of Radiative Transfer and Deep Neural Network. IEEE Transactions on Geoscience and Remote Sensing. 58(8). 5304–5316. 63 indexed citations
14.
Shang, Huazhe, Husi Letu, Liangfu Chen, et al.. (2020). Cloud thermodynamic phase detection using a directional polarimetric camera (DPC). Journal of Quantitative Spectroscopy and Radiative Transfer. 253. 107179–107179. 17 indexed citations
15.
Ma, Run, et al.. (2019). Estimation of downward surface shortwave radiation from Himawari-8 atmospheric products. National Remote Sensing Bulletin. 23(5). 924–934. 3 indexed citations
16.
Shang, Huazhe, Husi Letu, Xiaole Pan, et al.. (2019). Diurnal haze variations over the North China plain using measurements from Himawari-8/AHI. Atmospheric Environment. 210. 100–109. 24 indexed citations
17.
Wang, Ziming, Husi Letu, Huazhe Shang, et al.. (2019). A Supercooled Water Cloud Detection Algorithm Using Himawari‐8 Satellite Measurements. Journal of Geophysical Research Atmospheres. 124(5). 2724–2738. 23 indexed citations
18.
Letu, Husi, Kun Yang, Takashi Y. Nakajima, et al.. (2019). High-resolution retrieval of cloud microphysical properties and surface solar radiation using Himawari-8/AHI next-generation geostationary satellite. Remote Sensing of Environment. 239. 111583–111583. 158 indexed citations
19.
Shang, Huazhe, Husi Letu, François‐Marie Bréon, et al.. (2019). An improved algorithm of cloud droplet size distribution from POLDER polarized measurements. Remote Sensing of Environment. 228. 61–74. 20 indexed citations
20.
Shang, Huazhe, Husi Letu, Takashi Y. Nakajima, et al.. (2018). Diurnal cycle and seasonal variation of cloud cover over the Tibetan Plateau as determined from Himawari-8 new-generation geostationary satellite data. Scientific Reports. 8(1). 1105–1105. 83 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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2026