Xiao‐An Fu

3.0k total citations
54 papers, 1.2k citations indexed

About

Xiao‐An Fu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Spectroscopy. According to data from OpenAlex, Xiao‐An Fu has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Biomedical Engineering, 26 papers in Electrical and Electronic Engineering and 6 papers in Spectroscopy. Recurrent topics in Xiao‐An Fu's work include Advanced Chemical Sensor Technologies (24 papers), Gas Sensing Nanomaterials and Sensors (11 papers) and Silicon Carbide Semiconductor Technologies (9 papers). Xiao‐An Fu is often cited by papers focused on Advanced Chemical Sensor Technologies (24 papers), Gas Sensing Nanomaterials and Sensors (11 papers) and Silicon Carbide Semiconductor Technologies (9 papers). Xiao‐An Fu collaborates with scholars based in United States, China and Saudi Arabia. Xiao‐An Fu's co-authors include Michael H. Nantz, Syed Qutubuddin, Mingxiao Li, Mehran Mehregany, Mumiye A. Ogunwale, Daniel J. Conklin, Mandapati V. Ramakrishnam Raju, Michael Bousamra, Yizheng Chen and S.L. Garverick and has published in prestigious journals such as Nature Communications, PLoS ONE and Analytical Chemistry.

In The Last Decade

Xiao‐An Fu

51 papers receiving 1.2k citations

Peers

Xiao‐An Fu

EEE

PHYSI

HTM

Caner Ü. Yurteri Netherlands

Yongqiang Pang China

Naoyuki Ishida Japan

Lianghui Chen China

Yezdi B. Pithawalla United States

Fasheng Li China

Xiaojun Xian United States

Xue Zou China

Guillaume Suárez Switzerland

Fengqin Liu China

Caner Ü. Yurteri Netherlands

Xiao‐An Fu

334 ×0.7

616 ×1.6

EEE

134 ×0.7

122 ×0.7

PHYSI

199 ×1.2

HTM

Citations per year, relative to Xiao‐An Fu Xiao‐An Fu (= 1×) peers Caner Ü. Yurteri

Countries citing papers authored by Xiao‐An Fu

Since Specialization

Citations

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

Fields of papers citing papers by Xiao‐An Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao‐An Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐An Fu. A scholar is included among the top collaborators of Xiao‐An 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 Xiao‐An Fu. Xiao‐An Fu 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

Tran, Kevin, et al.. (2025). Predicting and diagnosing pneumonia in patients undergoing elective cardiac surgery via machine learning analysis of exhaled volatile carbonyl compounds. Journal of Thoracic and Cardiovascular Surgery. 171(2). 465–475.e5.

Nadeem, Muhammad, Irshad Hussain, Xiao‐An Fu, et al.. (2025). A Comprehensive Review of Instrumentation and Applications in Post‐Column and In‐Source Derivatization for LC‐MS. Mass Spectrometry Reviews. 2 indexed citations

Fu, Xiao‐An, Tian‐Jun Yue, Xiaohui Guo, Xiao‐Bing Lu, & Wei‐Min Ren. (2025). Synthesis of highly effective polyester/polyacrylate compatibilizers using switchable polymerization. Nature Communications. 16(1). 2154–2154. 4 indexed citations

Fu, Xiao‐An, et al.. (2024). Cesium ion-guided detection of trichloroethylene in air. Talanta. 276. 126197–126197.

Morris, James, Jianmin Pan, Elizabeth A. Cooke, et al.. (2024). Detection of COVID-19 by quantitative analysis of carbonyl compounds in exhaled breath. Scientific Reports. 14(1). 14568–14568. 3 indexed citations

Taylor, Matthew, et al.. (2024). Disease diagnosis and severity classification in pulmonary fibrosis using carbonyl volatile organic compounds in exhaled breath. Respiratory Medicine. 222. 107534–107534. 4 indexed citations

Brown, Katherine L., et al.. (2024). A comprehensive meta-analysis and systematic review of breath analysis in detection of COVID-19 through Volatile organic compounds. Diagnostic Microbiology and Infectious Disease. 109(3). 116309–116309. 4 indexed citations

Trivedi, Jaimin R., et al.. (2023). Identification of a marker of infection in the breath using a porcine pneumonia model. JTCVS Open. 16. 1063–1069.

Morris, James, Elizabeth A. Cooke, Holly A. Aliesky, et al.. (2023). A feasibility study on exhaled breath analysis using UV spectroscopy to detect COVID-19. Journal of Breath Research. 18(1). 16004–16004. 2 indexed citations

10.

Shesh, N., Samarendra Das, Jianmin Pan, Dwijesh Chandra Mishra, & Xiao‐An Fu. (2022). Multigroup prediction in lung cancer patients and comparative controls using signature of volatile organic compounds in breath samples. PLoS ONE. 17(11). e0277431–e0277431. 14 indexed citations

11.

Xie, Zhenzhen, et al.. (2022). Integration of a micropreconcentrator with solid-phase microextraction for analysis of trace volatile organic compounds by gas chromatography-mass spectrometry. Journal of Chromatography A. 1673. 463083–463083. 21 indexed citations

12.

Jasiński, Jacek B., et al.. (2022). Harnessing the cation-π interactions of metalated gold monolayer-protected clusters to detect aromatic volatile organic compounds. Talanta. 253. 123915–123915. 1 indexed citations

13.

Shaffie, Ahmed, Ahmed Soliman, Xiao‐An Fu, et al.. (2021). A novel technology to integrate imaging and clinical markers for non-invasive diagnosis of lung cancer. Scientific Reports. 11(1). 4597–4597. 15 indexed citations

14.

Raju, Mandapati V. Ramakrishnam, et al.. (2020). Effect of Thiol Molecular Structure on the Sensitivity of Gold Nanoparticle-Based Chemiresistors toward Carbonyl Compounds. Sensors. 20(24). 7024–7024. 5 indexed citations

15.

Chen, Yizheng, et al.. (2019). Characterization of DNPH-coated microreactor chip for analysis of trace carbonyls with application for breath analysis. Journal of Chromatography B. 1106-1107. 58–63. 6 indexed citations

16.

Li, Mingxiao, Qi Li, Michael H. Nantz, & Xiao‐An Fu. (2018). Analysis of Carbonyl Compounds in Ambient Air by a Microreactor Approach. ACS Omega. 3(6). 6764–6769. 15 indexed citations

17.

Schumer, Erin M., Michael Bousamra, Jaimin R. Trivedi, et al.. (2016). Normalization of Exhaled Carbonyl Compounds After Lung Cancer Resection. The Annals of Thoracic Surgery. 102(4). 1095–1100. 13 indexed citations

18.

Schumer, Erin M., Jaimin R. Trivedi, Victor van Berkel, et al.. (2015). High sensitivity for lung cancer detection using analysis of exhaled carbonyl compounds. Journal of Thoracic and Cardiovascular Surgery. 150(6). 1517–1524. 41 indexed citations

19.

Fu, Xiao‐An, et al.. (2007). A study of electrical properties and microstructure of nitrogen-doped poly-SiC films deposited by LPCVD. Sensors and Actuators A Physical. 136(2). 613–617. 18 indexed citations

20.

Fu, Xiao‐An & Syed Qutubuddin. (2004). Swelling behavior of organoclays in styrene and exfoliation in nanocomposites. Journal of Colloid and Interface Science. 283(2). 373–379. 30 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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