Qiumei Ma

400 total citations
24 papers, 301 citations indexed

About

Qiumei Ma is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Qiumei Ma has authored 24 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Water Science and Technology, 13 papers in Global and Planetary Change and 8 papers in Atmospheric Science. Recurrent topics in Qiumei Ma's work include Hydrology and Watershed Management Studies (14 papers), Precipitation Measurement and Analysis (8 papers) and Flood Risk Assessment and Management (7 papers). Qiumei Ma is often cited by papers focused on Hydrology and Watershed Management Studies (14 papers), Precipitation Measurement and Analysis (8 papers) and Flood Risk Assessment and Management (7 papers). Qiumei Ma collaborates with scholars based in China, Norway and Sweden. Qiumei Ma's co-authors include Lihua Xiong, Chong‐Yu Xu, Jie Chen, Chong-Yu Xu, Jong‐Suk Kim, Yong Li, Jinshui Wu, Yi Wang, Yanke Zhang and Yuyuan Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hydrology.

In The Last Decade

Qiumei Ma

22 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiumei Ma China 9 160 125 116 74 61 24 301
Eghbal Ehsanzadeh Iran 10 241 1.5× 210 1.7× 73 0.6× 92 1.2× 43 0.7× 14 378
Edom Moges United States 7 229 1.4× 211 1.7× 40 0.3× 147 2.0× 17 0.3× 10 316
Alejandro Chamorro Germany 7 253 1.6× 201 1.6× 41 0.4× 71 1.0× 20 0.3× 12 306
Gonzalo Sapriza‐Azuri Canada 8 259 1.6× 199 1.6× 108 0.9× 122 1.6× 9 0.1× 10 370
Jessica M. Driscoll United States 9 215 1.3× 132 1.1× 84 0.7× 75 1.0× 29 0.5× 23 272
Phillip Jordan Australia 9 168 1.1× 199 1.6× 113 1.0× 83 1.1× 21 0.3× 25 322
Kue Bum Kim United Kingdom 12 191 1.2× 183 1.5× 86 0.7× 88 1.2× 22 0.4× 13 288
Alban de Lavenne France 11 318 2.0× 251 2.0× 49 0.4× 88 1.2× 30 0.5× 27 361
Sun‐Kwon Yoon South Korea 10 105 0.7× 215 1.7× 108 0.9× 91 1.2× 8 0.1× 46 292
Micael de Souza Fraga Brazil 8 170 1.1× 90 0.7× 24 0.2× 120 1.6× 18 0.3× 35 259

Countries citing papers authored by Qiumei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Qiumei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiumei Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Qiumei Ma. A scholar is included among the top collaborators of Qiumei 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 Qiumei Ma. Qiumei 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.
Xiong, Lihua, et al.. (2025). Deep learning model for drought prediction based on large-scale spatial causal network in the Yangtze River Basin. Journal of Hydrology. 654. 132808–132808. 7 indexed citations
2.
Yan, Lei, Fan Lü, Jiaqi Zhai, et al.. (2025). Future projections of the rainfall intensity-duration-frequency curves in Beijing-Tianjin-Hebei urban agglomeration based on NEX-GDDP CMIP6 simulations. Sustainable Cities and Society. 121. 106227–106227.
3.
Ma, Qiumei, et al.. (2025). Reconstructing Reservoir Water Level-Area-Storage Volume Curve Using Multi-source Satellite Imagery and Intelligent Classification Algorithms. Water Resources Management. 39(11). 5339–5358. 1 indexed citations
4.
Zheng, Shuchen, et al.. (2024). Robustness of design flood estimates under nonstationary conditions: parameter sensitivity perspective. Stochastic Environmental Research and Risk Assessment. 38(6). 2297–2314. 3 indexed citations
5.
Yan, Lei, Liying Zhang, Lihua Xiong, et al.. (2023). Flood Frequency Analysis Using Mixture Distributions in Light of Prior Flood Type Classification in Norway. Remote Sensing. 15(2). 401–401. 8 indexed citations
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7.
Liu, Yuan, Changming Ji, Yi Wang, et al.. (2023). Effect of the quality of streamflow forecasts on the operation of cascade hydropower stations using stochastic optimization models. Energy. 273. 127298–127298. 8 indexed citations
8.
Ma, Qiumei, et al.. (2021). Electricity Curtailment Cost Coupled to Operation Model Facilitates Clean Energy Accommodation in Grid-Connected System. Energies. 14(10). 2802–2802. 2 indexed citations
9.
Wang, Liping, et al.. (2021). Application of Marginal Rate of Transformation in Decision Making of Multi-Objective Reservoir Optimal Operation Scheme. Sustainability. 13(3). 1488–1488. 6 indexed citations
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12.
Ransley, Edward, Qiumei Ma, Gavin Tabor, et al.. (2020). Wave Structure Interaction Computation and Experiment Roadmap Part 1: A Report on the 1st CCP-WSI Focus Group Workshop. Plymouth University. 2 indexed citations
13.
Zhang, Yanke, et al.. (2019). Short-Term Optimal Operation of Cascade Reservoirs Considering Dynamic Water Flow Hysteresis. Water. 11(10). 2098–2098. 10 indexed citations
14.
15.
Ma, Qiumei, Lihua Xiong, Dedi Liu, Chong‐Yu Xu, & Shenglian Guo. (2018). Evaluating the Temporal Dynamics of Uncertainty Contribution from Satellite Precipitation Input in Rainfall-Runoff Modeling Using the Variance Decomposition Method. Remote Sensing. 10(12). 1876–1876. 19 indexed citations
16.
Ma, Qiumei, Lihua Xiong, Chong‐Yu Xu, & Shenglian Guo. (2018). Assessing the adequacy of bias corrected IMERG satellite precipitation estimates using extended mixture distribution mapping method over Yangtze River basin. SHILAP Revista de lepidopterología. 246. 1096–1096. 1 indexed citations
17.
Ma, Qiumei, Lihua Xiong, Yong Li, Siyue Li, & Chong‐Yu Xu. (2017). Partitioning multi-source uncertainties in simulating nitrogen loading in stream water using a coherent, stochastic framework: Application to a rice agricultural watershed in subtropical China. The Science of The Total Environment. 618. 1298–1313. 10 indexed citations
18.
Wang, Yi, Xinliang Liu, Yong Li, et al.. (2015). Rice agriculture increases base flow contribution to catchment nitrate loading in subtropical central China. Agriculture Ecosystems & Environment. 214. 86–95. 24 indexed citations
19.
Wang, Yi, Yuyuan Li, Yong Li, et al.. (2015). Intensive rice agriculture deteriorates the quality of shallow groundwater in a typical agricultural catchment in subtropical central China. Environmental Science and Pollution Research. 22(17). 13278–13290. 16 indexed citations
20.
Wang, Yi, Yong Li, Xinliang Liu, et al.. (2014). Relating land use patterns to stream nutrient levels in red soil agricultural catchments in subtropical central China. Environmental Science and Pollution Research. 21(17). 10481–10492. 47 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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