Ming Liu

3.5k total citations
126 papers, 2.6k citations indexed

About

Ming Liu is a scholar working on Global and Planetary Change, Health, Toxicology and Mutagenesis and Ecology. According to data from OpenAlex, Ming Liu has authored 126 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Global and Planetary Change, 30 papers in Health, Toxicology and Mutagenesis and 29 papers in Ecology. Recurrent topics in Ming Liu's work include Remote Sensing in Agriculture (16 papers), Air Quality and Health Impacts (13 papers) and Climate variability and models (12 papers). Ming Liu is often cited by papers focused on Remote Sensing in Agriculture (16 papers), Air Quality and Health Impacts (13 papers) and Climate variability and models (12 papers). Ming Liu collaborates with scholars based in China, United States and Canada. Ming Liu's co-authors include Jian Wu, Bin He, Lin Zhao, Douglas L. Westphal, Aifeng Lü, Lei Zhou, Gaoxiang Zhou, Steven D. Miller, Annette L. Walker and Zhitao Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Environmental Science & Technology.

In The Last Decade

Ming Liu

119 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming Liu China	29	1.3k	656	386	330	245	126	2.6k
Guojie Wang China	26	1.4k 1.1×	566 0.9×	188 0.5×	353 1.1×	264 1.1×	91	2.7k
Hongquan Song China	27	875 0.7×	648 1.0×	478 1.2×	313 0.9×	97 0.4×	82	1.9k
Shuang Liu China	30	740 0.6×	473 0.7×	402 1.0×	386 1.2×	101 0.4×	218	3.5k
Ling Yao China	31	1.0k 0.8×	650 1.0×	474 1.2×	287 0.9×	52 0.2×	146	2.8k
Bala Rajaratnam United States	24	1.6k 1.2×	1.3k 2.0×	118 0.3×	158 0.5×	186 0.8×	72	3.0k
Pengfei Li China	29	541 0.4×	276 0.4×	88 0.2×	577 1.7×	66 0.3×	138	2.5k
Xiaobing Li China	34	1.4k 1.1×	890 1.4×	893 2.3×	756 2.3×	57 0.2×	176	3.2k
Zhao China	24	469 0.4×	499 0.8×	421 1.1×	299 0.9×	98 0.4×	364	2.7k
Linlin Lu China	35	1.9k 1.5×	672 1.0×	452 1.2×	1.1k 3.3×	79 0.3×	119	3.4k

Countries citing papers authored by Ming Liu

Since Specialization

Citations

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

Fields of papers citing papers by Ming Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Liu

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

All Works

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20 of 20 papers shown

Chen, Liqiao, et al.. (2025). Preparation, structural characterisation, and biological activities of polysaccharides from Malus American crabapple fruits. International Journal of Food Science & Technology. 60(1).

Liu, Ming, et al.. (2025). Urban Sewer System Is an Incubator of Sewage-Derived Mercury-Methylating Microorganisms: A New Public Health Challenge. Environmental Science & Technology. 59(32). 17160–17172. 1 indexed citations

Ma, Ding, et al.. (2025). Beyond urban–rural divide: urban hotspots benefit more than non-hotspots in PM2.5 reduction. Applied Geography. 186. 103843–103843. 1 indexed citations

Liu, Ziyan, Ling Han, & Ming Liu. (2024). High-resolution carbon emission mapping and spatial-temporal analysis based on multi-source geographic data: A case study in Xi'an City, China. Environmental Pollution. 361. 124879–124879. 10 indexed citations

Liu, Ming, Guangyu Sun, Zhiguo Zhou, et al.. (2023). Assessing Environmental Oil Spill Based on Fluorescence Images of Water Samples and Deep Learning. Journal of Environmental Informatics. 9 indexed citations

Shen, Jun, et al.. (2022). Comparative analysis of very volatile organic compounds and odors released from decorative medium density fiberboard using gas chromatography–mass spectrometry and olfactory detection. Chemosphere. 309(Pt 1). 136484–136484. 12 indexed citations

Liu, Ming, Zhongqiu Sun, Shan Lu, & Kenji Omasa. (2021). Combining Multiangular, Polarimetric, and Hyperspectral Measurements to Estimate Leaf Nitrogen Concentration From Different Plant Species. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 10 indexed citations

He, Hongjie, Ke Yang, Shusen Wang, et al.. (2021). Deep Learning Approaches to Spatial Downscaling of GRACE Terrestrial Water Storage Products Using EALCO Model Over Canada. Canadian Journal of Remote Sensing. 47(4). 657–675. 16 indexed citations

Chen, Gang, Xun Zhu, Rong Chen, et al.. (2019). Hierarchical Pd@Ni catalyst with a snow-like nanostructure on Ni foam for nitrobenzene hydrogenation. Applied Catalysis A General. 575. 238–245. 17 indexed citations

10.

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

11.

Liu, Ming, et al.. (2019). A Method of Automatically Extracting Forest Fire Burned Areas Using Gf-1 Remote Sensing Images. IEEE Conference Proceedings. 2019. 9953–9955. 1 indexed citations

12.

Xu, Bingcheng, et al.. (2018). Physiological response and ecological adaptability of different Jerusalem artichoke genotypes to salt stress.. Acta Pratacultural Science. 27(6). 120–127. 1 indexed citations

13.

Pan, Chen, et al.. (2015). [Near surface CO2 concentration and its quantitative relationship with character of underlying surface in Shanghai City, China].. PubMed. 26(7). 2123–30. 1 indexed citations

14.

Liu, Ming, et al.. (2013). Effects of deep loosening and nitrogen application on anatomical structures of stalk and lodging in maize.. Yumi kexue. 21(1). 57–63. 7 indexed citations

15.

Liu, Ming. (2013). Effects of Deep Loosening and Nitrogen Application Methods on Grain Filling,Yield and Quality of Spring Maize. Yumi kexue. 2 indexed citations

16.

Liu, Ming & David L. Swanson. (2013). Physiological Evidence That Anthropogenic Woodlots Can Substitute for Native Riparian Woodlands as Stopover Habitat for Migrant Birds. Physiological and Biochemical Zoology. 87(1). 183–195. 19 indexed citations

17.

Hua, Qi, et al.. (2012). Effect of Deep Loosening Mode on Soil Physical Characteristics and Maize Root Distribution. Acta Agriculturae Boreali-Sinica. 27(4). 191–196. 8 indexed citations

18.

Wang, Ling, Fengzhi Liu, Yanming Cai, et al.. (2010). Sensitivity of different vegetable seedlings to lead.. Nongye huanjing kexue xuebao. 29(9). 1646–1652. 1 indexed citations

19.

Liu, Ming, et al.. (2009). Effects of water stress on chlorophyll fluorescence parameters in seedlings of different maize hybrids.. Yumi kexue. 17(3). 95–98. 1 indexed citations

20.

Liu, Ming. (2007). Effects of Plant Density on Photosynthetic Character and Yield Trait in Summer Corn. Yumi kexue. 2 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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