Linlu Mei

2.6k total citations
82 papers, 998 citations indexed

About

Linlu Mei is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, Linlu Mei has authored 82 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Global and Planetary Change, 71 papers in Atmospheric Science and 10 papers in Ecology. Recurrent topics in Linlu Mei's work include Atmospheric aerosols and clouds (68 papers), Atmospheric chemistry and aerosols (61 papers) and Atmospheric Ozone and Climate (35 papers). Linlu Mei is often cited by papers focused on Atmospheric aerosols and clouds (68 papers), Atmospheric chemistry and aerosols (61 papers) and Atmospheric Ozone and Climate (35 papers). Linlu Mei collaborates with scholars based in China, United Kingdom and Germany. Linlu Mei's co-authors include Yong Xue, John P. Burrows, Jie Guang, В. В. Розанов, Marco Vountas, Xingwei He, Gerrit de Leeuw, Hui Xu, Alexander Kokhanovsky and Yahui Che and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Atmospheric Environment.

In The Last Decade

Linlu Mei

77 papers receiving 974 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linlu Mei China 18 802 776 155 118 98 82 998
Andi Walther United States 12 825 1.0× 590 0.8× 88 0.6× 93 0.8× 41 0.4× 27 958
Stanley Q. Kidder United States 16 687 0.9× 764 1.0× 297 1.9× 70 0.6× 111 1.1× 48 1.2k
Murty Divakarla United States 10 640 0.8× 661 0.9× 155 1.0× 53 0.4× 13 0.1× 28 851
N. K. Malakar United States 10 237 0.3× 423 0.5× 590 3.8× 98 0.8× 121 1.2× 21 849
Ulrich Hamann Switzerland 10 534 0.7× 503 0.6× 94 0.6× 77 0.7× 21 0.2× 19 748
Claudio Navacchi Austria 10 219 0.3× 163 0.2× 222 1.4× 119 1.0× 18 0.2× 17 478
Sergio Rota Germany 6 918 1.1× 866 1.1× 187 1.2× 80 0.7× 11 0.1× 8 1.2k
Paolo Pili Germany 7 925 1.2× 871 1.1× 187 1.2× 83 0.7× 11 0.1× 16 1.2k
Alain Ratier Germany 6 919 1.1× 874 1.1× 184 1.2× 78 0.7× 11 0.1× 10 1.2k
Ray L. McAnelly United States 13 1.2k 1.5× 1.3k 1.7× 197 1.3× 24 0.2× 87 0.9× 17 1.5k

Countries citing papers authored by Linlu Mei

Since Specialization
Citations

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

Fields of papers citing papers by Linlu Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linlu Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Linlu Mei. A scholar is included among the top collaborators of Linlu Mei 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 Linlu Mei. Linlu Mei 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.
2.
Li, Teng, Linlu Mei, Xiao Cheng, et al.. (2024). Evaluation of the Radiometric Performance of FY-3D MERSI-II Using Dome C, Antarctica. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 13483–13493.
3.
Zhang, Feng, et al.. (2023). A Hybrid Algorithm for Dust Aerosol Detection: Integrating Forward Radiative Transfer Simulations and Machine Learning. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 4 indexed citations
4.
Mei, Linlu, В. В. Розанов, Evelyn Jäkel, et al.. (2021). The retrieval of snow properties from SLSTR Sentinel-3 – Part 2: Results and validation. ˜The œcryosphere. 15(6). 2781–2802. 8 indexed citations
5.
Jiao, Ziti, Xiaoning Zhang, Linlu Mei, et al.. (2020). Assessment of Improved Ross–Li BRDF Models Emphasizing Albedo Estimates at Large Solar Angles Using POLDER Data. IEEE Transactions on Geoscience and Remote Sensing. 59(12). 9968–9986. 13 indexed citations
6.
Li, Ding, Kai Qin, Lixin Wu, et al.. (2020). Himawari-8-Derived Aerosol Optical Depth Using an Improved Time Series Algorithm Over Eastern China. Remote Sensing. 12(6). 978–978. 11 indexed citations
7.
Mei, Linlu, В. В. Розанов, & John P. Burrows. (2020). A fast and accurate radiative transfer model for aerosol remote sensing. Journal of Quantitative Spectroscopy and Radiative Transfer. 256. 107270–107270. 5 indexed citations
8.
Xie, Yanqing, Yong Xue, Jie Guang, et al.. (2019). Deriving a Global and Hourly Data Set of Aerosol Optical Depth Over Land Using Data From Four Geostationary Satellites: GOES-16, MSG-1, MSG-4, and Himawari-8. IEEE Transactions on Geoscience and Remote Sensing. 58(3). 1538–1549. 24 indexed citations
9.
Ding, Anxin, Ziti Jiao, Yadong Dong, et al.. (2019). Evaluation of the Snow Albedo Retrieved from the Snow Kernel Improved the Ross-Roujean BRDF Model. Remote Sensing. 11(13). 1611–1611. 13 indexed citations
10.
Mei, Linlu, В. В. Розанов, Marco Vountas, John P. Burrows, & Andreas Richter. (2018). XBAER-derived aerosol optical thickness from OLCI/Sentinel-3 observation. Atmospheric chemistry and physics. 18(4). 2511–2523. 23 indexed citations
11.
Jiao, Ziti, Anxin Ding, Alexander Kokhanovsky, et al.. (2018). Development of a snow kernel to better model the anisotropic reflectance of pure snow in a kernel-driven BRDF model framework. Remote Sensing of Environment. 221. 198–209. 68 indexed citations
12.
Che, Yahui, Linlu Mei, Yong Xue, et al.. (2018). Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms—Part 1: Global Evaluation. Remote Sensing. 10(9). 1414–1414. 5 indexed citations
13.
Xie, Yanqing, Yong Xue, Yahui Che, et al.. (2017). Ensemble of ESA/AATSR Aerosol Optical Depth Products Based on the Likelihood Estimate Method With Uncertainties. IEEE Transactions on Geoscience and Remote Sensing. 56(2). 997–1007. 11 indexed citations
14.
Mei, Linlu, В. В. Розанов, Marco Vountas, et al.. (2016). Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results. Remote Sensing of Environment. 197. 125–140. 62 indexed citations
15.
Che, Yahui, Yong Xue, Linlu Mei, et al.. (2016). Inter-comparison of three AATSR Level 2 (L2) AOD products over China. 1 indexed citations
16.
Guang, Jie, et al.. (2014). An Atmospheric Correction Algorithm for FY-3/ MERSI Data over the Land: First Results. EGU General Assembly Conference Abstracts. 2407. 1 indexed citations
17.
Mei, Linlu, Yong Xue, Alexander Kokhanovsky, et al.. (2014). Retrieval of aerosol optical depth over land surfaces from AVHRR data. Atmospheric measurement techniques. 7(8). 2411–2420. 35 indexed citations
18.
Xue, Yong, Hua Xu, Jie Guang, et al.. (2014). Observation of an agricultural biomass burning in central and east China using merged aerosol optical depth data from multiple satellite missions. International Journal of Remote Sensing. 35(16). 5971–5983. 26 indexed citations
19.
20.
Mei, Linlu, Yong Xue, Gerrit de Leeuw, et al.. (2011). Integration of remote sensing data and surface observations to estimate the impact of the Russian wildfires over Europe and Asia during August 2010. Biogeosciences. 8(12). 3771–3791. 41 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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