Shuxia Guo

1.8k total citations · 1 hit paper
63 papers, 1.2k citations indexed

About

Shuxia Guo is a scholar working on Biophysics, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, Shuxia Guo has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Biophysics, 22 papers in Analytical Chemistry and 11 papers in Biomedical Engineering. Recurrent topics in Shuxia Guo's work include Spectroscopy Techniques in Biomedical and Chemical Research (30 papers), Spectroscopy and Chemometric Analyses (22 papers) and ZnO doping and properties (8 papers). Shuxia Guo is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (30 papers), Spectroscopy and Chemometric Analyses (22 papers) and ZnO doping and properties (8 papers). Shuxia Guo collaborates with scholars based in Germany, China and United States. Shuxia Guo's co-authors include Thomas Bocklitz, Jürgen Popp, Petra Rösch, Oleg Ryabchykov, Jürgen Popp, Ute Neugebauer, Nadine Vogler, Xumei Chen, Stephan Stöckel and Ralf Heinke and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Analytical Chemistry.

In The Last Decade

Shuxia Guo

60 papers receiving 1.1k citations

Hit Papers

Chemometric analysis in R... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuxia Guo Germany 20 736 518 290 218 94 63 1.2k
Xiaoyi Lv China 24 714 1.0× 609 1.2× 400 1.4× 464 2.1× 118 1.3× 135 1.9k
Chen Chen China 22 608 0.8× 515 1.0× 292 1.0× 318 1.5× 80 0.9× 108 1.6k
Cheng Chen China 24 762 1.0× 642 1.2× 341 1.2× 390 1.8× 56 0.6× 119 1.8k
Priyanka Dey United Kingdom 18 201 0.3× 93 0.2× 498 1.7× 302 1.4× 356 3.8× 49 1.1k
Yuzhu Li China 19 204 0.3× 48 0.1× 214 0.7× 333 1.5× 242 2.6× 69 1.4k
Xiaoyi Lv China 21 274 0.4× 249 0.5× 399 1.4× 298 1.4× 103 1.1× 104 1.4k
Huilu Yao China 17 228 0.3× 129 0.2× 462 1.6× 165 0.8× 129 1.4× 42 1.0k
Waltraud Kessler Germany 15 129 0.2× 264 0.5× 184 0.6× 129 0.6× 7 0.1× 31 790
Daniel Markl United Kingdom 26 164 0.2× 362 0.7× 707 2.4× 192 0.9× 18 0.2× 89 2.0k
Xuesong Jiang China 21 134 0.2× 433 0.8× 346 1.2× 313 1.4× 8 0.1× 56 1.1k

Countries citing papers authored by Shuxia Guo

Since Specialization
Citations

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

Fields of papers citing papers by Shuxia Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuxia Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Shuxia Guo. A scholar is included among the top collaborators of Shuxia Guo 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 Shuxia Guo. Shuxia Guo 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.
Guo, Shuxia, et al.. (2023). Exploring the Steps of Infrared (IR) Spectral Analysis: Pre-Processing, (Classical) Data Modelling, and Deep Learning. Molecules. 28(19). 6886–6886. 28 indexed citations
2.
Guo, Shuxia, Jie Xue, Jian Liu, et al.. (2022). Smart imaging to empower brain-wide neuroscience at single-cell levels. Brain Informatics. 9(1). 10–10. 3 indexed citations
3.
Guo, Shuxia, et al.. (2021). Image enhancement to leverage the 3D morphological reconstruction of single-cell neurons. Bioinformatics. 38(2). 503–512. 7 indexed citations
4.
Taubert, Martin, Shuxia Guo, Thomas Bocklitz, et al.. (2021). Monitoring Deuterium Uptake in Single Bacterial Cells via Two-Dimensional Raman Correlation Spectroscopy. Analytical Chemistry. 93(21). 7714–7723. 26 indexed citations
6.
Tolstik, Elen, Shuxia Guo, Peter Nordbeck, et al.. (2021). Nonlinear spectroscopy for Fabry disease characterization based on cardiomyocytes. 26–26. 1 indexed citations
7.
Liu, Xiaoyang, Shuxia Guo, Thomas Bocklitz, et al.. (2021). Nondestructive 3D imaging and quantification of hydrated biofilm matrix by confocal Raman microscopy coupled with non-negative matrix factorization. Water Research. 210. 117973–117973. 21 indexed citations
8.
Guo, Shuxia, Thomas G. Mayerhöfer, Susanne Pahlow, et al.. (2020). Deep learning for ‘artefact’ removal in infrared spectroscopy. The Analyst. 145(15). 5213–5220. 27 indexed citations
9.
Taubert, Martin, Shuxia Guo, Rola Houhou, et al.. (2020). Influence of Carbon Sources on Quantification of Deuterium Incorporation in Heterotrophic Bacteria: A Raman-Stable Isotope Labeling Approach. Analytical Chemistry. 92(16). 11429–11437. 21 indexed citations
10.
Guo, Shuxia, et al.. (2020). Deep learning a boon for biophotonics?. Journal of Biophotonics. 13(6). e201960186–e201960186. 64 indexed citations
11.
Liu, Xiaoyang, Shuxia Guo, Anuradha Ramoji, et al.. (2019). Spatiotemporal Organization of Biofilm Matrix Revealed by Confocal Raman Mapping Integrated with Non-negative Matrix Factorization Analysis. Analytical Chemistry. 92(1). 707–715. 30 indexed citations
12.
Guo, Shuxia, Achim Köhler, Boris Zimmermann, et al.. (2018). Extended Multiplicative Signal Correction Based Model Transfer for Raman Spectroscopy in Biological Applications. Analytical Chemistry. 90(16). 9787–9795. 29 indexed citations
13.
Guo, Shuxia, Thomas Bocklitz, Ute Neugebauer, & Jürgen Popp. (2017). Common mistakes in cross-validating classification models. Analytical Methods. 9(30). 4410–4417. 82 indexed citations
14.
Guo, Shuxia, Tobias Meyer, Günther Ernst, et al.. (2017). Multimodal image analysis in tissue diagnostics for skin melanoma. Journal of Chemometrics. 32(1). 13 indexed citations
15.
Guo, Shuxia, Ralf Heinke, Stephan Stöckel, et al.. (2016). Towards an improvement of model transferability for Raman spectroscopy in biological applications. Vibrational Spectroscopy. 91. 111–118. 30 indexed citations
16.
Chen, Xumei, Shuxia Guo, Lei Yu, & Bruce Hellinga. (2011). Short-term forecasting of transit route OD matrix with smart card data. 1513–1518. 11 indexed citations
17.
Guo, Shuxia & Zuliang Du. (2011). Influence of defects on magnetism of Co-doped ZnO. Journal of Magnetism and Magnetic Materials. 324(5). 782–785. 18 indexed citations
18.
Wang, Jingnan, Xumei Chen, & Shuxia Guo. (2009). Bus travel time prediction model with ν - support vector regression. 1–6. 6 indexed citations
19.
Guo, Shuxia. (2008). Cumulative Logistic Regression-Based Measurement Models of Road Traffic Congestion Intensity. Journal of Beijing Jiaotong University. 3 indexed citations
20.
Guo, Shuxia, Xingtang Zhang, Huiling Zhao, et al.. (2005). [Influence of different sol-gel system on the luminescence of nanocrystalline ZnO powder].. PubMed. 25(11). 1195–7. 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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