Ming Xu

5.7k total citations · 1 hit paper
117 papers, 3.7k citations indexed

About

Ming Xu is a scholar working on Global and Planetary Change, Plant Science and Geophysics. According to data from OpenAlex, Ming Xu has authored 117 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Global and Planetary Change, 27 papers in Plant Science and 17 papers in Geophysics. Recurrent topics in Ming Xu's work include Plant Water Relations and Carbon Dynamics (31 papers), Plant responses to elevated CO2 (22 papers) and Geological and Geochemical Analysis (16 papers). Ming Xu is often cited by papers focused on Plant Water Relations and Carbon Dynamics (31 papers), Plant responses to elevated CO2 (22 papers) and Geological and Geochemical Analysis (16 papers). Ming Xu collaborates with scholars based in China, United States and Pakistan. Ming Xu's co-authors include Yiqing Li, Hua Shang, Yangjian Zhang, Hua Chen, Jonathan M. Adams, Xiaoming Zou, Chuanqing Zhu, Bingru Huang, Jingjin Yu and Yunpu Zheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Ming Xu

111 papers receiving 3.6k citations

Hit Papers

Uptake and Accumulation of Nano/Microplastics in Plants: ... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Xu China 35 1.2k 896 757 668 509 117 3.7k
Yongdong Wang China 32 394 0.3× 719 0.8× 595 0.8× 401 0.6× 403 0.8× 309 4.4k
Gérard Bardoux France 31 671 0.5× 475 0.5× 1.9k 2.5× 1.4k 2.1× 336 0.7× 66 3.5k
Lis Wollesen de Jonge Denmark 43 628 0.5× 596 0.7× 1.9k 2.5× 514 0.8× 800 1.6× 165 5.1k
Jacques Ranger France 43 1.4k 1.2× 1.8k 2.0× 2.3k 3.1× 1.1k 1.7× 358 0.7× 181 6.2k
Daniel deB. Richter United States 31 820 0.7× 322 0.4× 1.5k 1.9× 818 1.2× 154 0.3× 77 3.3k
J. M. Arocena Canada 35 372 0.3× 431 0.5× 498 0.7× 420 0.6× 1.2k 2.3× 130 3.6k
Craig Rasmussen United States 37 723 0.6× 238 0.3× 1.8k 2.4× 913 1.4× 226 0.4× 104 3.8k
W. R. Whalley United Kingdom 48 570 0.5× 3.4k 3.8× 2.9k 3.9× 545 0.8× 212 0.4× 157 7.3k
P. J. Loveland United Kingdom 23 508 0.4× 384 0.4× 1.6k 2.1× 867 1.3× 482 0.9× 58 4.3k
Guido L. B. Wiesenberg Switzerland 34 603 0.5× 600 0.7× 1.7k 2.3× 1.4k 2.0× 360 0.7× 96 4.1k

Countries citing papers authored by Ming Xu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Xu. A scholar is included among the top collaborators of Ming 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 Ming Xu. Ming 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.
Qu, Shen, Qi Zhou, Jasper Verschuur, et al.. (2024). Modeling the dynamic impacts of maritime network blockage on global supply chains. The Innovation. 5(4). 100653–100653. 12 indexed citations
2.
Rashid, Jamshaid, et al.. (2024). Uptake, translocation, and nutrient efficiency of nano-bonechar as a plant growth regulator in hydroponics and soil systems. Environmental Research. 251(Pt 2). 118695–118695. 3 indexed citations
3.
Liu, Yong, et al.. (2023). Analyzing the impacts of cadmium alone and in co-existence with polypropylene microplastics on wheat growth. Frontiers in Plant Science. 14. 1240472–1240472. 21 indexed citations
4.
Xu, Ming, et al.. (2023). Segmentation of Optic Disc and Optic Cup Based on Two-Layer Level Set with Sparse Shape Prior Constraint in Fundus Images. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E106.A(7). 1020–1024. 3 indexed citations
5.
Xu, Ming, et al.. (2022). Effect of occupational stress on depression and sleep of gene sequencing enterprise employees. SHILAP Revista de lepidopterología.
6.
Shakoor, Noman, Muhammad Adeel, Muhammad Zain, et al.. (2022). Exposure of cherry radish (Raphanus sativus L. var. Radculus Pers) to iron-based nanoparticles enhances its nutritional quality by trigging the essential elements. NanoImpact. 25. 100388–100388. 58 indexed citations
7.
Shakoor, Noman, Muhammad Adeel, Imran Azeem, et al.. (2022). Interplay of higher plants with lithium pollution: Global trends, meta-analysis, and perspectives. Chemosphere. 310. 136663–136663. 25 indexed citations
8.
Shedayi, Arshad Ali, et al.. (2022). Spatiotemporal valuation of cultural and natural landscapes contributing to Pakistan’s cultural ecosystem services. Environmental Science and Pollution Research. 29(27). 41834–41848. 13 indexed citations
9.
Xu, Meng, Xiaoliang Li, Thomas W. Kuyper, et al.. (2021). High microbial diversity stabilizes the responses of soil organic carbon decomposition to warming in the subsoil on the Tibetan Plateau. Global Change Biology. 27(10). 2061–2075. 126 indexed citations
10.
11.
Chen, Jun, et al.. (2019). Accumulation condition analysis of the Permian shale gas in the Turpan‐Hami Basin, Northwest China. Geological Journal. 54(6). 4051–4065. 1 indexed citations
12.
Zheng, Yunpu, Lihua Hao, Arshad Ali Shedayi, et al.. (2018). The optimal CO2 concentrations for the growth of three perennial grass species. BMC Plant Biology. 18(1). 27–27. 43 indexed citations
13.
Fei, Li, et al.. (2017). Growth, physiological, and biochemical responses of three grass species to elevated carbon dioxide concentrations.. Pakistan Journal of Botany. 49(6). 2169–2180. 5 indexed citations
14.
Li, Renqiang, et al.. (2017). Quantifying the evidence for co-benefits between species conservation and climate change mitigation in giant panda habitats. Scientific Reports. 7(1). 12705–12705. 5 indexed citations
15.
Xu, Ming & Hua Shang. (2016). Contribution of soil respiration to the global carbon equation. Journal of Plant Physiology. 203. 16–28. 146 indexed citations
16.
Xu, Ming. (2015). The optimal atmospheric CO2 concentration for the growth of winter wheat (Triticum aestivum). Journal of Plant Physiology. 184. 89–97. 42 indexed citations
17.
Yu, Jingjin, Hongmei Du, Ming Xu, & Bingru Huang. (2012). Metabolic Responses to Heat Stress under Elevated Atmospheric CO2 Concentration in a Cool-season Grass Species. Journal of the American Society for Horticultural Science. 137(4). 221–228. 74 indexed citations
18.
Xu, Ming. (2012). Evaluation of Ecosystem Services: Current Status,Challenges and Prospects. Forest Resources Management. 1 indexed citations
19.
Xu, Ming, et al.. (2010). Thermal history and hydrocarbon source rock evolution in the northwestern Sichuan basin. Progress in geophysics. 4 indexed citations
20.
Xu, Ming. (2001). Deep Geological Conditions Constraning the Late Mesozoic Magmatism in SE China. 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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