Mengquan Wu

710 total citations
34 papers, 488 citations indexed

About

Mengquan Wu is a scholar working on Oceanography, Global and Planetary Change and Ecology. According to data from OpenAlex, Mengquan Wu has authored 34 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oceanography, 13 papers in Global and Planetary Change and 10 papers in Ecology. Recurrent topics in Mengquan Wu's work include Marine and coastal plant biology (15 papers), Marine and coastal ecosystems (12 papers) and Remote Sensing and Land Use (6 papers). Mengquan Wu is often cited by papers focused on Marine and coastal plant biology (15 papers), Marine and coastal ecosystems (12 papers) and Remote Sensing and Land Use (6 papers). Mengquan Wu collaborates with scholars based in China and United States. Mengquan Wu's co-authors include Jingpu Wang, Guoqi Chai, Qianguo Xing, Tingwei Cui, Min Zhou, Guangzhen Wang, Xueyong Zou, Xiaodong Song, Qianguo Xing and Xuelu Gao and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Marine Pollution Bulletin.

In The Last Decade

Mengquan Wu

33 papers receiving 472 citations

Peers

Mengquan Wu
Yanfang Xiao China
Flavio Borfecchia Italy
Qianguo Xing China
Viviana Piermattei Italy
Nga Nhu Le Japan
Surya Prakash Tiwari Saudi Arabia
Gerardo Toro-Farmer United States
Dries Raymaekers Belgium
Fernando Gilbes Puerto Rico
Enrico C. Paringit Philippines
Yanfang Xiao China
Mengquan Wu
Citations per year, relative to Mengquan Wu Mengquan Wu (= 1×) peers Yanfang Xiao

Countries citing papers authored by Mengquan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mengquan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengquan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Mengquan Wu. A scholar is included among the top collaborators of Mengquan Wu 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 Mengquan Wu. Mengquan Wu 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.
Wu, Mengquan, Gang Chen, Xiaodong Song, et al.. (2025). Satellite observations and deep learning unveil the rapid expansion of offshore wind turbines in China. Resources Conservation and Recycling. 227. 108706–108706.
2.
Wu, Mengquan, et al.. (2024). Offshore wind energy potential in Shandong Sea of China revealed by ERA5 reanalysis data and remote sensing. Journal of Cleaner Production. 464. 142745–142745. 5 indexed citations
3.
Wang, Shikuan, Mengquan Wu, Xinghua Wei, et al.. (2024). An advanced multi-source data fusion method utilizing deep learning techniques for fire detection. Engineering Applications of Artificial Intelligence. 142. 109902–109902. 8 indexed citations
4.
Xue, Mingyue, et al.. (2023). Multi-Factors Synthetically Contribute to Ulva prolifera Outbreaks in the South Yellow Sea of China. Remote Sensing. 15(21). 5151–5151. 10 indexed citations
5.
Wu, Mengquan, et al.. (2023). Ecological Impact Patterns and Temporal Cycles of Green Tide Biomass in the Settlement Region: Based on Time-Series Remote Sensing and In Situ Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 1610–1622. 4 indexed citations
6.
Wu, Mengquan, J. Y. Zhao, Dongliang Wang, et al.. (2023). Effects of Ulva prolifera dissipation on the offshore environment based on remote sensing images and field monitoring data. Acta Oceanologica Sinica. 42(6). 112–120. 3 indexed citations
7.
Wu, Mengquan, et al.. (2023). Deep learning-based monitoring of offshore wind turbines in Shandong Sea of China and their location analysis. Journal of Cleaner Production. 434. 140415–140415. 8 indexed citations
8.
Wang, Shikuan, Mengquan Wu, Hongwei Zheng, et al.. (2023). Detection of Pine Wilt Disease Using Drone Remote Sensing Imagery and Improved YOLOv8 Algorithm: A Case Study in Weihai, China. Forests. 14(10). 2052–2052. 18 indexed citations
9.
Hu, Chuanmin, Lin Qi, Lianbo Hu, et al.. (2023). Mapping Ulva prolifera green tides from space: A revisit on algorithm design and data products. International Journal of Applied Earth Observation and Geoinformation. 116. 103173–103173. 41 indexed citations
10.
11.
Wu, Mengquan, et al.. (2020). Influence of Sea Surface Temperature on Outbreak of Ulva prolifera in the Southern Yellow Sea, China. Chinese Geographical Science. 30(4). 631–642. 25 indexed citations
12.
13.
Xing, Qianguo, Lingling Wu, Liqiao Tian, et al.. (2018). Remote sensing of early-stage green tide in the Yellow Sea for floating-macroalgae collecting campaign. Marine Pollution Bulletin. 133. 150–156. 67 indexed citations
14.
Sun, Xiao, et al.. (2018). Spatio-temporal patterns of Ulva prolifera blooms and the corresponding influence on chlorophyll-a concentration in the Southern Yellow Sea, China. The Science of The Total Environment. 640-641. 807–820. 49 indexed citations
15.
Wang, Guangzhen, et al.. (2018). Estimating the fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil from MODIS data: Assessing the applicability of the NDVI-DFI model in the typical Xilingol grasslands. International Journal of Applied Earth Observation and Geoinformation. 76. 154–166. 58 indexed citations
16.
Wu, Mengquan, et al.. (2014). [Research on the characteristics of Ulva prolifera in Shandong Peninsula during 2008-2012 based on MODIS data].. PubMed. 34(5). 1312–8. 13 indexed citations
17.
Wu, Mengquan, et al.. (2013). Land surface temperature retrieved using MODIS data in Shandong Province. 5 indexed citations
18.
19.
Wang, Haijiang, et al.. (2008). A new remotely sensed image fusion using wavelet packet transform with the best basis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7147. 714713–714713. 1 indexed citations
20.
Wu, Mengquan, et al.. (2007). Monitoring drought in mountainous area based on temperature/vegetation dryness index (TVDI). Ganhanqu dili. 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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