Xiaoling Wang

2.1k total citations
105 papers, 1.5k citations indexed

About

Xiaoling Wang is a scholar working on Molecular Biology, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Xiaoling Wang has authored 105 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 15 papers in Artificial Intelligence and 14 papers in Biomedical Engineering. Recurrent topics in Xiaoling Wang's work include Bacterial biofilms and quorum sensing (31 papers), Micro and Nano Robotics (9 papers) and Bacteriophages and microbial interactions (9 papers). Xiaoling Wang is often cited by papers focused on Bacterial biofilms and quorum sensing (31 papers), Micro and Nano Robotics (9 papers) and Bacteriophages and microbial interactions (9 papers). Xiaoling Wang collaborates with scholars based in China, United States and United Kingdom. Xiaoling Wang's co-authors include Rohit V. Pappu, H. Yu, Natali Gulbahce, Andreas Vitalis, Scott L. Crick, Hoang Tran, A. Martı́nez-Arias, Jonathan C. Hanson, Marcos Fernández–García and José Antonio Rodríguez and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemistry.

In The Last Decade

Xiaoling Wang

97 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoling Wang China 19 717 303 117 107 103 105 1.5k
Weiqiao Liu China 25 376 0.5× 286 0.9× 183 1.6× 81 0.8× 64 0.6× 81 1.9k
Tommi White United States 24 529 0.7× 403 1.3× 86 0.7× 55 0.5× 22 0.2× 69 1.6k
Qinglian Wang China 25 1.3k 1.7× 163 0.5× 164 1.4× 147 1.4× 32 0.3× 138 2.9k
Xiaoling Li China 19 281 0.4× 408 1.3× 289 2.5× 80 0.7× 76 0.7× 139 1.6k
Siddharth Goyal United States 15 1.3k 1.8× 687 2.3× 67 0.6× 150 1.4× 211 2.0× 28 2.8k
Minghui Wang China 19 457 0.6× 345 1.1× 171 1.5× 58 0.5× 157 1.5× 54 1.2k
Zhanfeng Wang China 17 243 0.3× 177 0.6× 140 1.2× 83 0.8× 46 0.4× 61 1.1k
Xiao Wang China 28 611 0.9× 229 0.8× 389 3.3× 102 1.0× 20 0.2× 159 2.7k
Xiangyang Chen China 31 805 1.1× 350 1.2× 444 3.8× 241 2.3× 37 0.4× 186 3.3k
Zhilong Wang China 34 578 0.8× 908 3.0× 299 2.6× 109 1.0× 164 1.6× 155 2.8k

Countries citing papers authored by Xiaoling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoling Wang. A scholar is included among the top collaborators of Xiaoling Wang 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 Wang. Xiaoling Wang 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.
Xiao, Xiao, et al.. (2025). Seismic fragility of earth-rock dams with heterogeneous compacted materials using deep learning-aided intensity measure. Structures. 73. 108373–108373. 1 indexed citations
2.
Liao, Yiqun, et al.. (2025). Applying nanopore sequencing in the etiological diagnosis of bloodstream infection. Frontiers in Microbiology. 16. 1554965–1554965.
3.
Wang, Xiaoling, et al.. (2025). Continuous multi-target tracking across disjoint camera views for field transport productivity analysis. Automation in Construction. 171. 105984–105984. 2 indexed citations
4.
Wang, Jiajun, et al.. (2024). Dynamic path planning of autonomous bulldozers using activity-value-optimised bio-inspired neural networks and adaptive cell decomposition. Applied Soft Computing. 164. 111944–111944. 2 indexed citations
5.
Jiang, Long, Pei Xiong, Wei Jiang, et al.. (2024). Mental health disorder in chronic liver disease: a questionnaire survey. Frontiers in Psychiatry. 15. 1469372–1469372. 1 indexed citations
7.
Li, Wenhao, Haoqing Chen, Xiaoling Wang, et al.. (2024). Complementary information mutual learning for multimodality medical image segmentation. Neural Networks. 180. 106670–106670. 4 indexed citations
8.
Wang, Xiaoling, et al.. (2024). The mechanism of biofilm detachment in porous medium under flow field. Biomicrofluidics. 18(3). 34103–34103.
9.
Zhang, Jinchang, et al.. (2024). Mesoscopic ring element growth and deformation induced biofilm streamer evolution in microfluidic channels. Water Science & Technology. 89(11). 2867–2879.
10.
Li, Xianyong, et al.. (2023). Analysis of biofilm expansion rate of Bacillus subtilis (MTC871) on agar substrates with different stiffness. Canadian Journal of Microbiology. 69(12). 479–487. 2 indexed citations
11.
Zhang, Zheng, et al.. (2023). The porous structure induced heterogeneous and localized failure of the biofilm in microfluidic channels. Water Science & Technology. 88(12). 3181–3193. 1 indexed citations
12.
Wang, Jiankun, et al.. (2023). Phenotypic variations induced emergence of orientation order and morphology in Bacillus subtilis biofilm growth. Biochemical and Biophysical Research Communications. 686. 149198–149198. 4 indexed citations
13.
Kong, Rui, Xianyong Li, Jiankun Wang, & Xiaoling Wang. (2023). Image segmentation based on U-Net++ network method to identify Bacillus Subtilis cells in micro-droplets. Multimedia Tools and Applications. 83(9). 27747–27759. 2 indexed citations
14.
Liu, Song, et al.. (2022). Matrix‐producing cells formed ‘Van Gogh bundles’ facilitate Bacillus subtilis biofilm self‐healing. Environmental Microbiology Reports. 14(5). 822–827. 2 indexed citations
15.
Wang, Xiaoling, et al.. (2021). ‘Chain and running’ induced by mechanical interactions among cells of different phenotypes in the Bacillus subtilis biofilm. European Biophysics Journal. 50(7). 1013–1023. 2 indexed citations
16.
Wang, Xiaoling, et al.. (2021). The self-healing of Bacillus subtilis biofilms. Archives of Microbiology. 203(9). 5635–5645. 6 indexed citations
17.
Wang, Xiaoling, et al.. (2019). Viscoelasticity variation in a biofilm-mediated Bacillus subtilis suspension induced by adding polyethylene glycol. European Biophysics Journal. 48(7). 599–608. 5 indexed citations
18.
Wang, Xiaoling, Stephan A. Koehler, James N. Wilking, et al.. (2016). Probing phenotypic growth in expanding Bacillus subtilis biofilms. Applied Microbiology and Biotechnology. 100(10). 4607–4615. 37 indexed citations
19.
Pan, Xuewen, Zhiwei Huang, Daniel Yuan, et al.. (2010). Trivalent Arsenic Inhibits the Functions of Chaperonin Complex. Genetics. 186(2). 725–734. 48 indexed citations
20.
Wang, Xiaoling & Qingping Sun. (2010). MECHANICAL MODELING OF THE BISTABLE BACTERIAL FLAGELLAR FILAMENT. Acta Mechanica Solida Sinica. 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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