Lin Mu

3.8k total citations · 2 hit papers
121 papers, 2.9k citations indexed

About

Lin Mu is a scholar working on Oceanography, Ocean Engineering and Atmospheric Science. According to data from OpenAlex, Lin Mu has authored 121 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Oceanography, 25 papers in Ocean Engineering and 25 papers in Atmospheric Science. Recurrent topics in Lin Mu's work include Oceanographic and Atmospheric Processes (28 papers), Ocean Waves and Remote Sensing (23 papers) and Coastal and Marine Dynamics (19 papers). Lin Mu is often cited by papers focused on Oceanographic and Atmospheric Processes (28 papers), Ocean Waves and Remote Sensing (23 papers) and Coastal and Marine Dynamics (19 papers). Lin Mu collaborates with scholars based in China, Australia and United States. Lin Mu's co-authors include Qiu‐Hong Pan, Chang‐Qing Duan, Fei He, Nana Liang, Malcolm J. Reeves, Darong Liu, Lizhe Wang, Jun Wang, Guoliang Yan and Jun Wang and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Lin Mu

109 papers receiving 2.8k citations

Hit Papers

Biosynthesis of Anthocyanins and Their Regulation in Colo... 2010 2026 2015 2020 2010 2012 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Biosynthesis of Anthocyanins and Their Regulation in Colored Grapes
    2010 470 citations Lin Mu et al. profile →
  2. Anthocyanins and Their Variation in Red Wines I. Monomeric Anthocyanins and Their Color Expression
    2012 345 citations Lin Mu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Mu China 23 879 854 672 396 363 121 2.9k
Yueming Hu China 27 724 0.8× 307 0.4× 98 0.1× 831 2.1× 508 1.4× 112 2.8k
Åsmund Rinnan Denmark 31 743 0.8× 673 0.8× 154 0.2× 212 0.5× 806 2.2× 99 5.0k
Moon S. Kim United States 39 827 0.9× 1.5k 1.8× 211 0.3× 64 0.2× 1.1k 3.1× 219 5.5k
William Powrie United Kingdom 52 925 1.1× 422 0.5× 141 0.2× 118 0.3× 576 1.6× 356 8.3k
G. van Straten Netherlands 33 542 0.6× 1.5k 1.8× 34 0.1× 473 1.2× 280 0.8× 202 4.3k
Zhengguo Li China 47 382 0.4× 5.1k 5.9× 411 0.6× 540 1.4× 3.4k 9.3× 192 7.6k
Haiyan Cen China 37 432 0.5× 2.2k 2.5× 230 0.3× 208 0.5× 301 0.8× 120 4.5k
Jean‐Michel Roger France 41 661 0.8× 1.1k 1.3× 181 0.3× 93 0.2× 602 1.7× 192 6.8k
Shiv O. Prasher Canada 44 672 0.8× 1.5k 1.8× 42 0.1× 847 2.1× 434 1.2× 290 7.9k

Countries citing papers authored by Lin Mu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Mu. A scholar is included among the top collaborators of Lin Mu 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 Lin Mu. Lin Mu 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
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Jiang, Haoyu, et al.. (2024). Optimization of latching control for duck wave energy converter based on deep reinforcement learning. Ocean Engineering. 309. 118531–118531. 7 indexed citations
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Zhou, Peng, Shuai Zhang, Lin Mu, & Yuanting Yan. (2024). Online learning from capricious data streams via shared and new feature spaces. Applied Intelligence. 54(19). 9429–9445. 1 indexed citations
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Wang, Shaoqiang, et al.. (2024). Risk Assessment of Oil Spills along the Coastline of Jiaozhou Bay Using GIS Techniques and the MEDSLIK-II Model. Water. 16(7). 996–996. 2 indexed citations
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Mu, Lin, et al.. (2023). Probabilistic modelling of surface drift prediction in marine disasters based on the NN–GA and ARMA model. Ocean Engineering. 281. 114804–114804. 5 indexed citations
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Mu, Lin, et al.. (2023). Regime Shifts in the Damage Caused by Tropical Cyclones in the Guangdong–Hong Kong–Macao Greater Bay Area of China. Journal of Marine Science and Engineering. 11(10). 1889–1889. 2 indexed citations
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Jiang, Haoyu, et al.. (2021). Validation of Wave Spectral Partitions From SWIM Instrument On-Board CFOSAT Against In Situ Data. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 13 indexed citations
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Mu, Lin, et al.. (2021). Semantic Segmentation for Buildings of Large Intra-Class Variation in Remote Sensing Images with O-GAN. Remote Sensing. 13(3). 475–475. 27 indexed citations
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Mu, Lin, et al.. (2021). GAN-Based LUCC Prediction via the Combination of Prior City Planning Information and Land-Use Probability. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 10189–10198. 22 indexed citations
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Wang, Si, et al.. (2021). Quantitative risk assessment of storm surge using GIS techniques and open data: A case study of Daya Bay Zone, China. Journal of Environmental Management. 289. 112514–112514. 27 indexed citations
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Yin, Hongchao, et al.. (2021). Numerical Simulation of Abrasive Flow Machining in Multi-angle Elbows. Zhongguo jixie gongcheng. 32(11). 1299. 1 indexed citations
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Wang, Si, et al.. (2021). Assessing and zoning of typhoon storm surge risk with a geographic information system (GIS) technique: a case study of the coastal area of Huizhou. Natural hazards and earth system sciences. 21(1). 439–462. 21 indexed citations
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Mu, Lin, et al.. (2020). L-UNet: An LSTM Network for Remote Sensing Image Change Detection. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 48 indexed citations
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Liu, Darong, Wenchao Jiang, Lin Mu, & Si Wang. (2020). Streamflow Prediction Using Deep Learning Neural Network: Case Study of Yangtze River. IEEE Access. 8. 90069–90086. 107 indexed citations
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Zhao, Enjin, K. Qu, Lin Mu, Simon Kraatz, & Bing Shi. (2019). Numerical Study on the Hydrodynamic Characteristics of Submarine Pipelines under the Impact of Real-World Tsunami-Like Waves. Water. 11(2). 221–221. 20 indexed citations
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Mu, Lin. (2011). Design and Development of a Laboratory Management System Based on Web. Research and Exploration in Laboratory. 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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