Xiaotong Fu

1.7k total citations · 1 hit paper
43 papers, 591 citations indexed

About

Xiaotong Fu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Biomaterials. According to data from OpenAlex, Xiaotong Fu has authored 43 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomedical Engineering, 10 papers in Electrical and Electronic Engineering and 9 papers in Biomaterials. Recurrent topics in Xiaotong Fu's work include Microfluidic and Bio-sensing Technologies (9 papers), Microfluidic and Capillary Electrophoresis Applications (8 papers) and Advanced Cellulose Research Studies (6 papers). Xiaotong Fu is often cited by papers focused on Microfluidic and Bio-sensing Technologies (9 papers), Microfluidic and Capillary Electrophoresis Applications (8 papers) and Advanced Cellulose Research Studies (6 papers). Xiaotong Fu collaborates with scholars based in China, United States and Canada. Xiaotong Fu's co-authors include Zachary Gagnon, Dongdong Ye, Cuihua Dong, Chenlu Jiao, Wenyuan Zhu, Hairui Ji, Zhu Long, Zhibin He, John Pieracci and He Wang and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Nano Letters.

In The Last Decade

Xiaotong Fu

36 papers receiving 574 citations

Hit Papers

Gradient all-nanostructured aerogel fibers for enhanced t... 2025 2026 2025 5 10 15 20 25
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Gradient all-nanostructured aerogel fibers for enhanced thermal insulation and mechanical properties
    2025 25 citations Xiaotong Fu, Lianmeng Si et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaotong Fu China 17 256 125 101 84 70 43 591
Byung-Cheol Shin South Korea 11 265 1.0× 361 2.9× 139 1.4× 162 1.9× 58 0.8× 22 820
Jie He China 17 315 1.2× 52 0.4× 112 1.1× 210 2.5× 32 0.5× 56 942
Haodong Zhang China 17 316 1.2× 250 2.0× 62 0.6× 359 4.3× 12 0.2× 46 1.1k
Nam T. Nguyen United Kingdom 15 107 0.4× 81 0.6× 37 0.4× 209 2.5× 29 0.4× 32 644
Jing Ling China 12 230 0.9× 140 1.1× 91 0.9× 285 3.4× 26 0.4× 38 737
Yanjiao Zhao China 15 135 0.5× 127 1.0× 117 1.2× 89 1.1× 13 0.2× 46 664
Yifan Xu United States 12 107 0.4× 54 0.4× 99 1.0× 87 1.0× 11 0.2× 37 554
Shahrouz Taranejoo Iran 13 276 1.1× 268 2.1× 41 0.4× 238 2.8× 42 0.6× 20 798
Youngjun Song South Korea 19 291 1.1× 79 0.6× 193 1.9× 150 1.8× 8 0.1× 59 764
Vladimir B. Bregar Slovenia 14 281 1.1× 236 1.9× 71 0.7× 189 2.3× 26 0.4× 25 691

Countries citing papers authored by Xiaotong Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaotong Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaotong Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaotong Fu. A scholar is included among the top collaborators of Xiaotong Fu 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 Xiaotong Fu. Xiaotong Fu 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, Lanyue, et al.. (2025). Biomass-Derived Gradient and Aligned Structured Aerogel for Sustainable Agricultural Irrigation. Nano Letters. 25(13). 5383–5390. 5 indexed citations
2.
Zhou, Xiaoyue, Jing Zhou, Kaiyu Yuan, et al.. (2025). Plant‐Inspired High‐Performance Hydrovoltaic Electricity Generation in Janus Aerogel Fibers with Gradient Nanostructures. Advanced Functional Materials. 35(50). 1 indexed citations
3.
Fu, Xiaotong, Lianmeng Si, Tingting Yang, et al.. (2025). Gradient all-nanostructured aerogel fibers for enhanced thermal insulation and mechanical properties. Nature Communications. 16(1). 2357–2357. 25 indexed citations breakdown →
4.
Li, C. H., Li Yang, Chenlu Jiao, et al.. (2025). Biomimetic Interface Engineering Approach for Universal Toughening of Rigid Fibers. Advanced Functional Materials. 35(31).
5.
Gao, Lei, et al.. (2025). Small-Signal Stability Analysis and Enhancement of Virtual Admittance Control Based Grid-Forming MMC. IEEE Transactions on Power Electronics. 41(4). 5975–5990.
6.
Fu, Xiaotong, Daniel J. Luckett, Alison Bradley, et al.. (2025). Clinical Presentation of MTAP Deletions in Real-World Settings: Lessons for the Clinical Development of Novel Targeted Therapies. JCO Precision Oncology. 9(9). e2500564–e2500564.
7.
8.
Fu, Xiaotong, et al.. (2024). Cellulose Surface Nanoengineering for Visualizing Food Safety. Nano Letters. 24(33). 10016–10023. 13 indexed citations
9.
Weng, Yiyun, Zihan Jiang, Xiaotong Fu, et al.. (2024). Longitudinal decline in DAT binding in Parkinson’s disease: connections with sleep disturbances. BMC Medicine. 22(1). 550–550.
10.
Fu, Xiaotong, Chenlu Jiao, Ke Zheng, et al.. (2024). Customizable Twisted Nanofluidic Cellulose Fibers by Asymmetric Microfluidics for Self‐Powered Urine Monitoring. Advanced Functional Materials. 35(5). 12 indexed citations
11.
12.
Hu, Bin, et al.. (2023). An ensemble deep learning model for risk stratification of invasive lung adenocarcinoma using thin-slice CT. npj Digital Medicine. 6(1). 119–119. 15 indexed citations
13.
14.
Zhu, Ruifeng, Xiaotong Fu, Shengnan Jin, et al.. (2022). Water and oil-resistant paper materials based on sodium alginate/hydroxypropyl methylcellulose/polyvinyl butyral/nano-silica with biodegradable and high barrier properties. International Journal of Biological Macromolecules. 225. 162–171. 22 indexed citations
15.
Fu, Xiaotong, et al.. (2022). Piezoresistive Conductive Microfluidic Membranes for Low-Cost On-Chip Pressure and Flow Sensing. Sensors. 22(4). 1489–1489. 6 indexed citations
16.
17.
Fu, Xiaotong, et al.. (2021). Leveraging high-throughput purification to accelerate viral vector process development. Journal of Chromatography A. 1663. 462744–462744. 9 indexed citations
18.
Fu, Xiaotong, et al.. (2021). Efficient homogeneous TEMPO-mediated oxidation of cellulose in lithium bromide hydrates. International Journal of Biological Macromolecules. 191. 637–645. 7 indexed citations
19.
Fu, Xiaotong, Ryan Dickerson, George M. Bou-Assaf, et al.. (2019). Analytical Strategies for Quantification of Adeno-Associated Virus Empty Capsids to Support Process Development. Human Gene Therapy Methods. 30(4). 144–152. 68 indexed citations
20.
Zhou, Jiaojiao, Jimmy Su, Xiaotong Fu, Lei Zheng, & Zhizhong Yin. (2017). Microfluidic device for primary tumor spheroid isolation. Experimental Hematology and Oncology. 6(1). 22–22. 29 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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