Kai Ma

503 total citations
22 papers, 283 citations indexed

About

Kai Ma is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Kai Ma has authored 22 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Water Science and Technology, 8 papers in Global and Planetary Change and 5 papers in Environmental Engineering. Recurrent topics in Kai Ma's work include Hydrology and Watershed Management Studies (9 papers), Flood Risk Assessment and Management (6 papers) and Hydrological Forecasting Using AI (4 papers). Kai Ma is often cited by papers focused on Hydrology and Watershed Management Studies (9 papers), Flood Risk Assessment and Management (6 papers) and Hydrological Forecasting Using AI (4 papers). Kai Ma collaborates with scholars based in China, United States and Russia. Kai Ma's co-authors include Xiaorong Huang, Chuan Liang, Chaopeng Shen, Dapeng Feng, Kathryn Lawson, Ashutosh Sharma, Wen‐Ping Tsai, Hongbin Zhao, Daming He and Zhenghuan Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Water Resources Research.

In The Last Decade

Kai Ma

21 papers receiving 270 citations

Peers

Kai Ma

WST

GPC

ECOLO

Ali O. Alnahit Saudi Arabia

Shuyu Yang China

Sarah H. Ledford United States

Godson Ebenezer Adjovu United States

David King Stevens United States

Klebber Teodomiro Martins Formiga Brazil

Abdul Latif Qureshi Pakistan

Satyavati Shukla India

Micael de Souza Fraga Brazil

Martin Ligi Estonia

Ali O. Alnahit Saudi Arabia

Kai Ma

228 ×1.3

WST

126 ×0.9

131 ×1.0

GPC

31 ×1.1

ECOLO

27 ×1.1

Citations per year, relative to Kai Ma Kai Ma (= 1×) peers Ali O. Alnahit

Countries citing papers authored by Kai Ma

Since Specialization

Citations

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

Fields of papers citing papers by Kai Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Ma. A scholar is included among the top collaborators of Kai 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 Kai Ma. Kai Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Xu, Ziyue, et al.. (2025). Transboundary cooperation potential under climate change and hydropower development in the Dulong-Irrawaddy river basin: A perspective on the water-energy-food-ecosystem nexus. Journal of Cleaner Production. 492. 144915–144915. 2 indexed citations

Dong, Zhibao, Xuan Ji, & Kai Ma. (2025). Detection and attribution of eco-hydrological alteration based on deep learning-driven gap-filled runoff in a large-scale catchment. Journal of Hydrology Regional Studies. 58. 102228–102228.

Ma, Kai, Lei Xue, Eric J. Bergman, et al.. (2025). Process Technology Enablers for Aggressive Scaling of Hybrid Bonding Temperature and Pitch. 1901–1907. 1 indexed citations

Ma, Kai, Chaopeng Shen, Ziyue Xu, & Daming He. (2024). Transfer learning framework for streamflow prediction in large-scale transboundary catchments: Sensitivity analysis and applicability in data-scarce basins. Journal of Geographical Sciences. 34(5). 963–984. 7 indexed citations

Yang, Luchen, Zhufeng Peng, Zhenghuan Liu, et al.. (2024). Exposure to di-2-ethylhexyl phthalate (DEHP) increases the risk of cancer. BMC Public Health. 24(1). 430–430. 18 indexed citations

Xu, Ziyue, Kai Ma, Xu Yuan, & Daming He. (2024). Hydrologic Response to Future Climate Change in the Dulong-Irrawaddy River Basin Based on Coupled Model Intercomparison Project 6. Chinese Geographical Science. 34(2). 294–310. 4 indexed citations

Ma, Kai, Daming He, Shiyin Liu, et al.. (2024). Novel time-lag informed deep learning framework for enhanced streamflow prediction and flood early warning in large-scale catchments. Journal of Hydrology. 631. 130841–130841. 12 indexed citations

Xie, Jiahui, et al.. (2023). Algal growth and alkaline phosphatase activity of ‘green tide’ Chaetomorpha linum in response to phosphorus stress. Journal of Marine Systems. 241. 103912–103912. 6 indexed citations

Chen, Junhao, Zhenghuan Liu, Luchen Yang, et al.. (2023). Relationship between nocturia and hypertension: findings from the NHANES 2005–2016. Frontiers in Cardiovascular Medicine. 10. 1165092–1165092. 13 indexed citations

10.

Chen, Junhao, Zhenghuan Liu, Luchen Yang, et al.. (2023). Sleep-related disorders and lower urinary tract symptoms in middle-aged and elderly males: a cross-sectional study based on NHANES 2005–2008. Sleep And Breathing. 28(1). 359–370. 2 indexed citations

11.

Li, Wenqing, Yong Li, Xinwei Wang, et al.. (2023). Genomic analysis provides insights into the westward expansion of domesticated peaches in China. Horticultural Plant Journal. 10(2). 367–375. 2 indexed citations

12.

Wang, Xiaochang C., et al.. (2022). Isolation of Inorganic-Phosphate-Solubilizing Bacteria and Analysis of their Effect on Phosphorus Release from Lagoon Sediments. Geomicrobiology Journal. 40(1). 46–59. 3 indexed citations

13.

Ma, Kai, Dapeng Feng, Kathryn Lawson, et al.. (2021). Transferring Hydrologic Data Across Continents – Leveraging Data‐Rich Regions to Improve Hydrologic Prediction in Data‐Sparse Regions. Water Resources Research. 57(5). 121 indexed citations

14.

Huang, Xiaorong, et al.. (2020). Development of a revised method for indicators of hydrologic alteration for analyzing the cumulative impacts of cascading reservoirs on flow regime. Hydrology and earth system sciences. 24(8). 4091–4107. 43 indexed citations

15.

Ma, Kai, et al.. (2020). Effect of land use/cover changes on runoff in the Min River watershed. River Research and Applications. 36(5). 749–759. 20 indexed citations

16.

Zhang, Xiaoli, et al.. (2019). Pulp lignification in Korla fragrant pear. European Journal of Horticultural Science. 263–273. 9 indexed citations

17.

Ma, Kai, et al.. (2018). Land Use/Land Cover Changes and Its Response to Hydrological Characteristics in the Upper Reaches of Minjiang River. SHILAP Revista de lepidopterología. 379. 243–248. 4 indexed citations

18.

Huang, Xiaorong, et al.. (2018). Discussion on water resources value accounting and its application. SHILAP Revista de lepidopterología. 379. 279–286. 4 indexed citations

19.

Wang, Yanqiu, et al.. (2018). Preliminary research on quantitative methods of water resources carrying capacity based on water resources balance sheet. SHILAP Revista de lepidopterología. 379. 269–277. 5 indexed citations

20.

Lu, Shibao, Qiang Huang, Kai Ma, & Yongyong Zhang. (2010). Virtual water theory and its application in food security.. Nongye gongcheng xuebao. 26(5). 59–64. 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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