Meng Xu

659 total citations
37 papers, 497 citations indexed

About

Meng Xu is a scholar working on Global and Planetary Change, Applied Mathematics and Nature and Landscape Conservation. According to data from OpenAlex, Meng Xu has authored 37 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 10 papers in Applied Mathematics and 8 papers in Nature and Landscape Conservation. Recurrent topics in Meng Xu's work include Ecology and Vegetation Dynamics Studies (6 papers), Species Distribution and Climate Change (5 papers) and Advanced Mathematical Modeling in Engineering (4 papers). Meng Xu is often cited by papers focused on Ecology and Vegetation Dynamics Studies (6 papers), Species Distribution and Climate Change (5 papers) and Advanced Mathematical Modeling in Engineering (4 papers). Meng Xu collaborates with scholars based in United States, China and Norway. Meng Xu's co-authors include Joel E. Cohen, William S. F. Schuster, Shulin Zhou, Samuel Schacher, Jiang‐Yuan Hu, Helge Brunborg, Robert S. Seymour, S. S. Sritharan, Jeppe Kolding and Gordon H. Copp and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Ecology.

In The Last Decade

Meng Xu

35 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Xu United States 13 126 113 90 72 66 37 497
Bo Deng United States 20 53 0.4× 89 0.8× 105 1.2× 33 0.5× 62 0.9× 96 1.3k
Carlos A. Braumann Portugal 13 96 0.8× 153 1.4× 201 2.2× 144 2.0× 63 1.0× 37 982
Colin Thompson Australia 10 214 1.7× 99 0.9× 207 2.3× 73 1.0× 23 0.3× 21 467
Mary Lou Zeeman United States 16 125 1.0× 391 3.5× 233 2.6× 114 1.6× 135 2.0× 28 1.4k
Sophia R.‐J. Jang United States 18 38 0.3× 91 0.8× 79 0.9× 86 1.2× 134 2.0× 104 1.2k
Nicolas Pade United Kingdom 5 242 1.9× 202 1.8× 256 2.8× 177 2.5× 440 6.7× 8 954
Olivier Mazet France 11 50 0.4× 36 0.3× 115 1.3× 38 0.5× 150 2.3× 18 908
NIRA RICHTER-DYN Israel 9 121 1.0× 56 0.5× 132 1.5× 74 1.0× 55 0.8× 17 502
Stanley C. Williams United States 14 25 0.2× 97 0.9× 45 0.5× 102 1.4× 48 0.7× 26 842
Robert D. Edwards United States 14 102 0.8× 38 0.3× 115 1.3× 199 2.8× 122 1.8× 38 677

Countries citing papers authored by Meng Xu

Since Specialization
Citations

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

Fields of papers citing papers by Meng Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Xu. A scholar is included among the top collaborators of Meng Xu 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 Xu. Meng Xu 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.
Benassi, Federico, Alessia Naccarato, & Meng Xu. (2023). Daily Covid-19 infected population densities in Italian provinces follow Taylor’s law. Mathematical Population Studies. 30(4). 229–248. 1 indexed citations
3.
Newman, Erica A., et al.. (2023). Defining an ecological equation of state: Response to Riera et al. (2023). Ecological Modelling. 486. 110532–110532. 2 indexed citations
4.
Cohen, Joel E., Helge Brunborg, & Meng Xu. (2019). Can Taylor’s law of fluctuation scaling and its relatives help demographers select more plausible multi-regional population forecasts?. Vienna Yearbook of Population Research. 1. 15–23. 1 indexed citations
5.
Wei, Hui, Gordon H. Copp, Lorenzo Vilizzi, et al.. (2017). The distribution, establishment and life-history traits of non-native sailfin catfishes Pterygoplichthys spp. in the Guangdong Province of China. Aquatic Invasions. 12(2). 241–249. 25 indexed citations
6.
Xu, Meng, Helge Brunborg, & Joel E. Cohen. (2017). Evaluating multi-regional population projections with Taylor’s law of mean–variance scaling and its generalisation. Journal of Population Research. 34(1). 79–99. 8 indexed citations
7.
Xu, Meng, Guoan Wang, Xiaoliang Li, et al.. (2015). The key factor limiting plant growth in cold and humid alpine areas also plays a dominant role in plant carbon isotope discrimination. Frontiers in Plant Science. 6. 961–961. 23 indexed citations
8.
Xu, Meng, et al.. (2015). On Tricomi Problem of Chaplygin’s Hodograph Equation. Abstract and Applied Analysis. 2015. 1–11. 1 indexed citations
9.
Xu, Meng, William S. F. Schuster, & Joel E. Cohen. (2014). Robustness of Taylor's law under spatial hierarchical groupings of forest tree samples. Population Ecology. 57(1). 93–103. 7 indexed citations
10.
Cohen, Joel E., Meng Xu, & William S. F. Schuster. (2013). Stochastic multiplicative population growth predicts and interprets Taylor's power law of fluctuation scaling. Proceedings of the Royal Society B Biological Sciences. 280(1757). 20122955–20122955. 48 indexed citations
11.
Cohen, Joel E., Meng Xu, & Helge Brunborg. (2013). Taylor's law applies to spatial variation in a human population. 69(1). 22 indexed citations
12.
Cohen, Joel E., Meng Xu, & William S. F. Schuster. (2012). Allometric scaling of population variance with mean body size is predicted from Taylor’s law and density-mass allometry. Proceedings of the National Academy of Sciences. 109(39). 15829–15834. 55 indexed citations
13.
Sritharan, S. S. & Meng Xu. (2011). A stochastic Lagrangian particle model and nonlinear filtering for three dimensional Euler flow with jumps. Communications on Stochastic Analysis. 5(3). 2 indexed citations
14.
Xiao, Yihua, et al.. (2010). Bio-absorption and reserves of urban forest community in Guangzhou.. Dongbei linye daxue xuebao. 38(3). 66–68. 3 indexed citations
15.
Xu, Meng & Shulin Zhou. (2007). Stability and regularity of weak solutions for a generalized thin film equation. Journal of Mathematical Analysis and Applications. 337(1). 49–60. 7 indexed citations
16.
Xu, Meng, et al.. (2005). Hölder Continuity of Weak Solutions for Parabolic Equations with Nonstandard Growth Conditions. Acta Mathematica Sinica English Series. 22(3). 793–806. 25 indexed citations
17.
Xu, Meng, et al.. (2004). Comparative studies on nutritional composition of abalone Haliotis discus hannai between two shell-color stocks. Journal of Fishery Sciences of China. 11(4). 367–370. 2 indexed citations
18.
Xu, Meng & Shulin Zhou. (2004). Existence and uniqueness of weak solutions for a generalized thin film equation. Nonlinear Analysis. 60(4). 755–774. 23 indexed citations
19.
Xu, Meng. (2002). Studies on Identifying the Critical Sterility-inducing Temperature of PTGMS Lines in Rice with Temperature Controlled Cold Water Bed. Zajiao shuidao. 1 indexed citations
20.
Hu, Jiang‐Yuan, Meng Xu, & Samuel Schacher. (2002). Target Interaction Regulates Distribution and Stability of Specific mRNAs. Journal of Neuroscience. 22(7). 2669–2678. 31 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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