Meng Mu

729 total citations
19 papers, 628 citations indexed

About

Meng Mu is a scholar working on Oceanography, Environmental Chemistry and Industrial and Manufacturing Engineering. According to data from OpenAlex, Meng Mu has authored 19 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oceanography, 8 papers in Environmental Chemistry and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in Meng Mu's work include Marine and coastal ecosystems (18 papers), Aquatic Ecosystems and Phytoplankton Dynamics (8 papers) and Water Quality Monitoring and Analysis (7 papers). Meng Mu is often cited by papers focused on Marine and coastal ecosystems (18 papers), Aquatic Ecosystems and Phytoplankton Dynamics (8 papers) and Water Quality Monitoring and Analysis (7 papers). Meng Mu collaborates with scholars based in China and France. Meng Mu's co-authors include Yunmei Li, Heng Lyu, Shun Bi, Shaohua Lei, Chenggong Du, Jie Xu, Zhubin Zheng, Ge Liu, Miao Song and Shuai Zeng and has published in prestigious journals such as The Science of The Total Environment, Water Research and Environmental Pollution.

In The Last Decade

Meng Mu

19 papers receiving 600 citations

Peers

Meng Mu

OCEAN

WST

IME

ECOLO

Shun Bi China

Minqi Hu China

Darryl J. Keith United States

Xavier Sòria‐Perpinyà Spain

Tim Moore United States

C. G. Griffin United States

Bridget N. Seegers United States

Helgi Arst Estonia

Zhubin Zheng China

Michael Ondrusek United States

Shun Bi China

Meng Mu

500 ×1.3

OCEAN

276 ×1.1

WST

213 ×1.1

261 ×1.3

IME

175 ×1.1

ECOLO

Citations per year, relative to Meng Mu Meng Mu (= 1×) peers Shun Bi

Countries citing papers authored by Meng Mu

Since Specialization

Citations

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

Fields of papers citing papers by Meng Mu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Mu

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

All Works

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19 of 19 papers shown

Chen, Zhichao, et al.. (2024). Monitoring 36-year water clarity dynamics in turbid waters of the Pearl River Estuary, China, using Landsat data. Ecological Informatics. 81. 102600–102600. 4 indexed citations

Bi, Shun, Yunmei Li, Ge Liu, et al.. (2021). Assessment of Algorithms for Estimating Chlorophyll-a Concentration in Inland Waters: A Round-Robin Scoring Method Based on the Optically Fuzzy Clustering. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 22 indexed citations

Xu, Jie, Yunmei Li, Heng Lyu, et al.. (2021). Simultaneous inversion of concentrations of POC and its endmembers in lakes: A novel remote sensing strategy. The Science of The Total Environment. 770. 145249–145249. 13 indexed citations

Zheng, Zhubin, Ge Liu, Chenggong Du, et al.. (2021). Simulation and Assessment of the Capabilities of Orbita Hyperspectral (OHS) Imagery for Remotely Monitoring Chlorophyll-a in Eutrophic Plateau Lakes. Remote Sensing. 13(14). 2821–2821. 17 indexed citations

Mu, Meng, Yunmei Li, Shun Bi, et al.. (2021). Prediction of algal bloom occurrence based on the naive Bayesian model considering satellite image pixel differences. Ecological Indicators. 124. 107416–107416. 29 indexed citations

Song, Miao, Yangyang Li, Zhiming Wu, et al.. (2020). A Semianalytical Algorithm for Mapping Proportion of Cyanobacterial Biomass in Eutrophic Inland Lakes Based on OLCI Data. IEEE Transactions on Geoscience and Remote Sensing. 58(7). 5148–5161. 9 indexed citations

Song, Miao, Heng Lyu, Jie Xu, et al.. (2020). Characteristics of the chromophoric dissolved organic matter of urban black-odor rivers using fluorescence and UV–visible spectroscopy. Environmental Pollution. 268(Pt B). 115763–115763. 34 indexed citations

Xu, Jie, Shaohua Lei, Shun Bi, et al.. (2019). Tracking spatio-temporal dynamics of POC sources in eutrophic lakes by remote sensing. Water Research. 168. 115162–115162. 46 indexed citations

Song, Miao, Heng Lyu, Qiao Wang, et al.. (2019). Estimation of terrestrial humic-like substances in inland lakes based on the optical and fluorescence characteristics of chromophoric dissolved organic matter (CDOM) using OLCI images. Ecological Indicators. 101. 399–409. 32 indexed citations

10.

Lei, Shaohua, Jie Xu, Yunmei Li, et al.. (2019). Remote Monitoring of PSD Slope Under the Influence of Sand Dredging Activities in Lake Hongze Based on Landsat-8/OLI Data and VIIRS/DNB Night-Time Light Composite Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(11). 4198–4212. 9 indexed citations

11.

Lei, Shaohua, Jie Xu, Yunmei Li, et al.. (2019). An approach for retrieval of horizontal and vertical distribution of total suspended matter concentration from GOCI data over Lake Hongze. The Science of The Total Environment. 700. 134524–134524. 50 indexed citations

12.

Bi, Shun, Yunmei Li, Heng Lyu, et al.. (2019). Quantifying Spatiotemporal Dynamics of the Column-Integrated Algal Biomass in Nonbloom Conditions Based on OLCI Data: A Case Study of Lake Dianchi, China. IEEE Transactions on Geoscience and Remote Sensing. 57(10). 7447–7459. 25 indexed citations

13.

Mu, Meng, Chuanqing Wu, Yunmei Li, et al.. (2019). Long-term observation of cyanobacteria blooms using multi-source satellite images: a case study on a cloudy and rainy lake. Environmental Science and Pollution Research. 26(11). 11012–11028. 35 indexed citations

14.

Bi, Shun, Yunmei Li, Jie Xu, et al.. (2019). Optical classification of inland waters based on an improved Fuzzy C-Means method. Optics Express. 27(24). 34838–34838. 35 indexed citations

15.

Xu, Jie, Heng Lyu, Xiaoguang Xu, et al.. (2019). Dual stable isotope tracing the source and composition of POM during algae blooms in a large and shallow eutrophic lake: All contributions from algae?. Ecological Indicators. 102. 599–607. 36 indexed citations

16.

Bi, Shun, Yunmei Li, Qiao Wang, et al.. (2018). Inland Water Atmospheric Correction Based on Turbidity Classification Using OLCI and SLSTR Synergistic Observations. Remote Sensing. 10(7). 1002–1002. 58 indexed citations

17.

Lei, Shaohua, Di Wu, Yunmei Li, et al.. (2018). Remote sensing monitoring of the suspended particle size in Hongze Lake based on GF-1 data. International Journal of Remote Sensing. 40(8). 3179–3203. 36 indexed citations

18.

Ren, Jingli, Zhubin Zheng, Yunmei Li, et al.. (2018). Remote observation of water clarity patterns in Three Gorges Reservoir and Dongting Lake of China and their probable linkage to the Three Gorges Dam based on Landsat 8 imagery. The Science of The Total Environment. 625. 1554–1566. 80 indexed citations

19.

Du, Chenggong, Yunmei Li, Qiao Wang, et al.. (2017). Tempo-spatial dynamics of water quality and its response to river flow in estuary of Taihu Lake based on GOCI imagery. Environmental Science and Pollution Research. 24(36). 28079–28101. 58 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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