Xiaoling Zhou

1.9k total citations · 2 hit papers
59 papers, 1.5k citations indexed

About

Xiaoling Zhou is a scholar working on Materials Chemistry, Health, Toxicology and Mutagenesis and Mechanical Engineering. According to data from OpenAlex, Xiaoling Zhou has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 13 papers in Health, Toxicology and Mutagenesis and 11 papers in Mechanical Engineering. Recurrent topics in Xiaoling Zhou's work include Atmospheric chemistry and aerosols (9 papers), Air Quality and Health Impacts (8 papers) and Microstructure and mechanical properties (6 papers). Xiaoling Zhou is often cited by papers focused on Atmospheric chemistry and aerosols (9 papers), Air Quality and Health Impacts (8 papers) and Microstructure and mechanical properties (6 papers). Xiaoling Zhou collaborates with scholars based in China, United States and Australia. Xiaoling Zhou's co-authors include Hongjun Lin, Huachang Hong, Ronald Pethig, Yanlan Huang, Gerard H. Markx, Fuyong Wu, Liguo Shen, Deng Ying, Ge Xiao and Min Wang and has published in prestigious journals such as Nature, Physical Review Letters and Applied Physics Letters.

In The Last Decade

Xiaoling Zhou

57 papers receiving 1.5k citations

Hit Papers

New methods based on back propagation (BP) and radial bas... 2021 2026 2022 2024 2021 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoling Zhou China 20 392 374 303 291 207 59 1.5k
Jiahao Li China 25 523 1.3× 303 0.8× 142 0.5× 786 2.7× 238 1.1× 190 2.4k
Bangwoo Han South Korea 22 362 0.9× 289 0.8× 248 0.8× 197 0.7× 897 4.3× 112 1.6k
Haoran Wang China 24 389 1.0× 233 0.6× 107 0.4× 511 1.8× 617 3.0× 128 2.1k
Qiang Song China 27 763 1.9× 817 2.2× 197 0.7× 545 1.9× 605 2.9× 185 2.7k
Yun Ren China 19 380 1.0× 130 0.3× 172 0.6× 260 0.9× 173 0.8× 69 1.2k
Yanping Yang China 21 319 0.8× 161 0.4× 144 0.5× 455 1.6× 107 0.5× 69 1.2k
Donghai Zhang China 26 465 1.2× 206 0.6× 154 0.5× 297 1.0× 415 2.0× 92 2.1k
Dun Wu China 29 516 1.3× 929 2.5× 304 1.0× 396 1.4× 337 1.6× 126 2.9k
Junyi Liu China 32 1.2k 3.1× 394 1.1× 189 0.6× 369 1.3× 1.1k 5.2× 151 3.3k
Zhen Chen China 27 586 1.5× 191 0.5× 193 0.6× 454 1.6× 212 1.0× 110 3.0k

Countries citing papers authored by Xiaoling Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoling Zhou. A scholar is included among the top collaborators of Xiaoling Zhou 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 Xiaoling Zhou. Xiaoling Zhou 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.
Zhang, Jing, Yue Yin, Xin Deng, et al.. (2025). Carnosic acid reduces lipid content, enhances gut health, and modulates microbiota composition and metabolism in diet-induced obese mice. Food & Function. 16(5). 1888–1902. 1 indexed citations
2.
Wu, Yanxia, et al.. (2025). Modulation of Ni3Se2/NiSe electronic structure by Mo doping for efficient simultaneous H2 and formate production. International Journal of Hydrogen Energy. 145. 644–652. 1 indexed citations
3.
Wang, Qingtao, et al.. (2024). Cu-doped Ni3S2 electrocatalyst for glycerol oxidation coupling to promote hydrogen evolution reaction. Fuel. 377. 132770–132770. 7 indexed citations
4.
Zeng, Qianqian, Xiaoling Zhou, Liguo Shen, et al.. (2024). Exceptional self-cleaning MXene-based membrane for highly efficient oil/water separation. Journal of Membrane Science. 700. 122691–122691. 67 indexed citations breakdown →
5.
Song, Jiao, et al.. (2024). Preparation, characterization and application of a composite bioflocculant. Environmental Technology. 45(26). 5665–5673. 1 indexed citations
6.
7.
Chen, Lianyang, et al.. (2024). Irreversible phase transition of the Fe50Mn30Cr10Co10 high entropy alloy under stress. Applied Physics Letters. 125(23). 1 indexed citations
8.
Wang, Qingtao, et al.. (2024). A non-noble metal Li, Mn co-doped Ni3S2 electrocatalyst for glycerol oxidation synergistic coupling to promote the hydrogen evolution reaction. New Journal of Chemistry. 48(35). 15470–15482. 2 indexed citations
9.
Zhang, Jianzhen, Duo Ye, Minjie Chen, et al.. (2023). The combination of multiple linear regression and adaptive neuro-fuzzy inference system can accurately predict trihalomethane levels in tap water with fewer water quality parameters. The Science of The Total Environment. 896. 165269–165269. 19 indexed citations
10.
Liu, Hefan, Rui Sun, Jing Li, et al.. (2023). Characterizing VOCs emissions of five packaging and printing enterprises in China and the emission reduction potential of this industry. Journal of Cleaner Production. 420. 138445–138445. 23 indexed citations
11.
Ying, Deng, Xiaoling Zhou, Liguo Shen, et al.. (2021). New methods based on back propagation (BP) and radial basis function (RBF) artificial neural networks (ANNs) for predicting the occurrence of haloketones in tap water. The Science of The Total Environment. 772. 145534–145534. 237 indexed citations breakdown →
12.
Zhou, Zihang, et al.. (2019). [Speciated VOCs Emission Inventory and Ozone Formation Potential in Sichuan Province].. PubMed. 40(4). 1613–1626. 4 indexed citations
13.
Zhou, Xiaoling, Lili Zheng, Hongwei Du, et al.. (2019). Factors influencing DBPs occurrence in tap water of Jinhua Region in Zhejiang Province, China. Ecotoxicology and Environmental Safety. 171. 813–822. 65 indexed citations
14.
Zhou, Zihang, Qinwen Tan, Hefan Liu, et al.. (2018). Emission characteristics and high-resolution spatial and temporal distribution of pollutants from motor vehicles in Chengdu, China. Atmospheric Pollution Research. 10(3). 749–758. 67 indexed citations
15.
Zhou, Xiaoling, Nobumichi Tamura, Jialin Lei, et al.. (2017). Reversal in the Size Dependence of Grain Rotation. Physical Review Letters. 118(9). 96101–96101. 28 indexed citations
16.
Zhou, Xiaoling, et al.. (2015). [Assessment of Soil Fluorine Pollution in Jinhua Fluorite Ore Areas].. PubMed. 36(7). 2648–54. 6 indexed citations
17.
Yang, Chao, Hefei Huang, Xiaoling Zhou, et al.. (2015). High-temperature stability of Ni-3 wt.% SiCNP composite and the effect of milling time. Journal of Nuclear Materials. 467. 635–643. 21 indexed citations
19.
Zhou, Xiaoling, Duanwei He, Shanmin Wang, et al.. (2013). New exploration on phase transition and structure of PbS under high pressure and temperature. Journal of Applied Physics. 113(4). 2 indexed citations
20.
Zhou, Xiaoling, et al.. (2004). Influence of sintering temperatures on hardness and Young's modulus of tricalcium phosphate bioceramic by nanoindentation technique. Materials Characterization. 52(4-5). 301–307. 90 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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