Mingxia Sun

574 total citations
20 papers, 477 citations indexed

About

Mingxia Sun is a scholar working on Surfaces, Coatings and Films, Mechanics of Materials and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Mingxia Sun has authored 20 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surfaces, Coatings and Films, 6 papers in Mechanics of Materials and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Mingxia Sun's work include Surface Modification and Superhydrophobicity (9 papers), Adhesion, Friction, and Surface Interactions (6 papers) and Surface Roughness and Optical Measurements (5 papers). Mingxia Sun is often cited by papers focused on Surface Modification and Superhydrophobicity (9 papers), Adhesion, Friction, and Surface Interactions (6 papers) and Surface Roughness and Optical Measurements (5 papers). Mingxia Sun collaborates with scholars based in China, Australia and Kazakhstan. Mingxia Sun's co-authors include Ai‐Ping Liang, Gregory S. Watson, Jolanta A. Watson, Yongmei Zheng, Lei Jiang, Jitraporn Vongsvivut, Bronwen W. Cribb, Christopher L. Brown, Mark J. Tobin and Jie Ju and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and ACS Applied Materials & Interfaces.

In The Last Decade

Mingxia Sun

19 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingxia Sun China 9 270 141 96 71 70 20 477
Marianne Alleyne United States 17 165 0.6× 148 1.0× 48 0.5× 62 0.9× 70 1.0× 36 688
Florian Hischen Germany 10 171 0.6× 126 0.9× 128 1.3× 58 0.8× 103 1.5× 11 531
Julien Dervaux France 16 250 0.9× 367 2.6× 182 1.9× 53 0.7× 136 1.9× 26 1.1k
Dejan Pantelić Serbia 13 88 0.3× 149 1.1× 66 0.7× 159 2.2× 41 0.6× 87 939
Philipp Comanns Germany 10 352 1.3× 152 1.1× 154 1.6× 119 1.7× 190 2.7× 13 563
Manuel Spaeth Germany 4 334 1.2× 119 0.8× 133 1.4× 85 1.2× 83 1.2× 4 452
Clemens F. Schaber Germany 16 109 0.4× 155 1.1× 138 1.4× 43 0.6× 18 0.3× 27 589
Makoto Yagihashi Japan 8 439 1.6× 210 1.5× 221 2.3× 86 1.2× 80 1.1× 16 553
Hunter King United States 12 71 0.3× 188 1.3× 52 0.5× 56 0.8× 44 0.6× 23 557
Taras Andrukh United States 10 105 0.4× 121 0.9× 50 0.5× 55 0.8× 48 0.7× 13 364

Countries citing papers authored by Mingxia Sun

Since Specialization
Citations

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

Fields of papers citing papers by Mingxia Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxia Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Mingxia Sun. A scholar is included among the top collaborators of Mingxia Sun 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 Mingxia Sun. Mingxia Sun 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.
Li, Xin, Shichao Ding, Zhao Wang, et al.. (2025). Machine Learning-Assisted Fe–N–C Single-Atom Nanozyme Rapid Screening Platform for Acetylcholinesterase Inhibitors. Analytical Chemistry. 97(46). 25840–25852.
2.
Wang, Bin, Mingxia Sun, Lijuan Jiang, & Yi Wang. (2025). COMPARISON OF DIFFERENT AGRONOMIC ACTIVITIES ON PHYSICOCHEMICAL PROPERTIES AND N-CYCLING GENE ABUNDANCES IN FARMLAND SOIL NEAR COPPER TAILINGS AREA. Applied Ecology and Environmental Research. 23(3). 4351–4367. 1 indexed citations
3.
Sun, Mingxia, Lei Shi, Gregory S. Watson, et al.. (2024). Dynamic Color Regulation of the Lycaenid Butterfly Wing Scales. Journal of Bionic Engineering. 21(5). 2395–2408. 1 indexed citations
4.
Chen, Chao, Qingqing Chen, Dawei Wang, et al.. (2022). An original deep learning model using limited data for COVID‐19 discrimination: A multicenter study. Medical Physics. 49(6). 3874–3885. 4 indexed citations
5.
Sun, Mingxia, Jiajing Zhang, Gregory S. Watson, et al.. (2018). Differences in Nanostructure and Hydrophobicity of Cicada (Cryptotympana atrata) Forewing Surface with the Distribution of Precipitation. Applied Bionics and Biomechanics. 2018. 1–11. 1 indexed citations
6.
Sun, Mingxia, Yuan Chen, Yongmei Zheng, et al.. (2017). Wettability gradient on the elytra in the aquatic beetle Cybister chinensis and its role in angular position of the beetle at water-air interface. Acta Biomaterialia. 51. 408–417. 13 indexed citations
7.
8.
Watson, Gregory S., David W. Green, Bronwen W. Cribb, et al.. (2017). Insect Analogue to the Lotus Leaf: A Planthopper Wing Membrane Incorporating a Low-Adhesion, Nonwetting, Superhydrophobic, Bactericidal, and Biocompatible Surface. ACS Applied Materials & Interfaces. 9(28). 24381–24392. 76 indexed citations
9.
Sun, Mingxia, et al.. (2016). Two newly recorded genera and species of Owlflies (Neuroptera: Ascalaphidae) from China. Biodiversity Data Journal. 4(4). e7451–e7451. 2 indexed citations
10.
Zhang, Jie, Mingxia Sun, & Xiaodong Wang. (2015). Synopsis of subfamily Haplogleniinae Newman, 1853 in China (Neuroptera: Ascalaphidae). Zootaxa. 3941(3). 375–90. 3 indexed citations
11.
Sun, Mingxia, Gregory S. Watson, Jolanta A. Watson, et al.. (2014). Wettability and Adhesional Differences on a Natural Template: The Cicada Wing. Science of Advanced Materials. 6(7). 1493–1500. 10 indexed citations
12.
Sun, Mingxia, Ai‐Ping Liang, Gregory S. Watson, et al.. (2012). Compound Microstructures and Wax Layer of Beetle Elytral Surfaces and Their Influence on Wetting Properties. PLoS ONE. 7(10). e46710–e46710. 34 indexed citations
13.
Sun, Mingxia, Ai‐Ping Liang, Gregory S. Watson, et al.. (2012). Influence of Cuticle Nanostructuring on the Wetting Behaviour/States on Cicada Wings. PLoS ONE. 7(4). e35056–e35056. 55 indexed citations
14.
Sun, Mingxia, Ai‐Ping Liang, Yongmei Zheng, Gregory S. Watson, & Jolanta A. Watson. (2011). A study of the anti-reflection efficiency of natural nano-arrays of varying sizes. Bioinspiration & Biomimetics. 6(2). 26003–26003. 46 indexed citations
15.
Sun, Mingxia, Gregory S. Watson, Yongmei Zheng, Jolanta A. Watson, & Ai‐Ping Liang. (2009). Wetting properties on nanostructured surfaces of cicada wings. Journal of Experimental Biology. 212(19). 3148–3155. 188 indexed citations
16.
Song, Xianzhong, et al.. (2007). MCP Bottom Die Crack Issue during Destructive Analysis. 864–868. 1 indexed citations
17.
Sun, Mingxia, et al.. (2006). Characterization of microsatellite loci in fulvous fruit bat Rousettus leschenaulti. Molecular Ecology Notes. 6(3). 939–941. 14 indexed citations
18.
Zhu, Chen, et al.. (2005). Preferred orientation controlling of PZT (52–48) thin films prepared by sol–gel process. Journal of Crystal Growth. 285(4). 627–632. 19 indexed citations
19.
Ge, Xue‐Jun, et al.. (1999). Population genetic structure and reproductive biology of Avicennia marina. 1 indexed citations
20.
Sun, Mingxia, et al.. (1999). Population genetics of Balanophora harlandi, a dioecious, holoparasitic flowering plant. The HKU Scholars Hub (University of Hong Kong). 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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