Xuan Chu

3.2k total citations · 1 hit paper
54 papers, 2.7k citations indexed

About

Xuan Chu is a scholar working on Analytical Chemistry, Plant Science and Biophysics. According to data from OpenAlex, Xuan Chu has authored 54 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Analytical Chemistry, 18 papers in Plant Science and 17 papers in Biophysics. Recurrent topics in Xuan Chu's work include Spectroscopy and Chemometric Analyses (33 papers), Spectroscopy Techniques in Biomedical and Chemical Research (17 papers) and Advanced Chemical Sensor Technologies (14 papers). Xuan Chu is often cited by papers focused on Spectroscopy and Chemometric Analyses (33 papers), Spectroscopy Techniques in Biomedical and Chemical Research (17 papers) and Advanced Chemical Sensor Technologies (14 papers). Xuan Chu collaborates with scholars based in China, United States and Norway. Xuan Chu's co-authors include Jing Wei, Kun Xu, Wei Wang, Daoyou Guo, Weihua Tang, Hui‐Xiong Deng, Ming Lei, Xiangyu Sun, Ji-Gen Chen and Zhongming Wei and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and IEEE Access.

In The Last Decade

Xuan Chu

52 papers receiving 2.6k citations

Hit Papers

Machine learning in materials science 2019 2026 2021 2023 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuan Chu China 23 1.3k 842 602 527 512 54 2.7k
Dan Liu China 33 1.6k 1.2× 218 0.3× 459 0.8× 998 1.9× 178 0.3× 131 3.5k
Martin Andersson Sweden 32 1.8k 1.4× 172 0.2× 412 0.7× 1.6k 3.1× 845 1.7× 137 3.2k
Qijun Wang China 24 334 0.3× 132 0.2× 229 0.4× 626 1.2× 391 0.8× 87 2.0k
Kyungmin Lee South Korea 26 464 0.3× 216 0.3× 208 0.3× 579 1.1× 33 0.1× 107 2.1k
Shangzhong Jin China 31 677 0.5× 679 0.8× 200 0.3× 1.9k 3.5× 109 0.2× 247 3.5k
Dongyi Wang United States 22 539 0.4× 190 0.2× 201 0.3× 599 1.1× 51 0.1× 84 2.3k
Jian‐An Huang China 27 709 0.5× 1.0k 1.2× 81 0.1× 469 0.9× 389 0.8× 103 3.0k
Zhang De China 23 348 0.3× 420 0.5× 152 0.3× 188 0.4× 37 0.1× 165 1.7k
Xiangjiang Liu China 23 488 0.4× 691 0.8× 139 0.2× 367 0.7× 26 0.1× 48 1.9k

Countries citing papers authored by Xuan Chu

Since Specialization
Citations

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

Fields of papers citing papers by Xuan Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuan Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Xuan Chu. A scholar is included among the top collaborators of Xuan Chu 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 Xuan Chu. Xuan Chu 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.
Gao, Ke, Zhiwei Wang, Xuan Chu, et al.. (2025). Enhancing optoelectronic performance of organic phototransistors through surface doping of tetra-bromo perylene diimide single crystals. Journal of Materials Chemistry C. 13(16). 8077–8083.
2.
Li, Rui, Xuan Chu, Hongyu Wei, et al.. (2025). Physiological and Ecological Responses of Anoectochilus formosanus to Different Light Intensities. Agriculture. 15(7). 705–705. 1 indexed citations
3.
Chu, Xuan, et al.. (2025). Pan-cancer analysis of UGGT1 in human tumors and experimental validation in breast cancer. Scientific Reports. 15(1). 26901–26901.
4.
He, Dan, Chuyu Pan, Yan Zhao, et al.. (2023). Exome-wide screening identifies novel rare risk variants for bone mineral density. Osteoporosis International. 34(5). 965–975. 1 indexed citations
5.
Wei, Hongyu, Wenyue Chen, Lixue Zhu, et al.. (2022). Improved Lightweight Mango Sorting Model Based on Visualization. Agriculture. 12(9). 1467–1467. 5 indexed citations
6.
Chu, Xuan, Pu Miao, Kun Zhang, et al.. (2022). Green Banana Maturity Classification and Quality Evaluation Using Hyperspectral Imaging. Agriculture. 12(4). 530–530. 40 indexed citations
7.
Wei, Hongyu, Wenqi Tang, Xuan Chu, Yinghui Mu, & Zhiyu Ma. (2021). Grading Method of Potted Anthurium Based on RGB-D Features. Mathematical Problems in Engineering. 2021. 1–8. 1 indexed citations
8.
Chu, Xuan, Kun Zhang, Hongli Liu, Zhiyu Ma, & Hongyu Wei. (2021). Early Discrimination of Banana Diseases Based on Two-Dimensional Correlation Spectroscopy (2D-COS) Combined with Partial Least Square Method. 2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST). 170. 1520–1525. 1 indexed citations
9.
Wei, Jing, Xuan Chu, Xiangyu Sun, et al.. (2019). Machine learning in materials science. InfoMat. 1(3). 338–358. 707 indexed citations breakdown →
10.
Chu, Xuan, et al.. (2019). Evaluating Growth of Colletotrichum species by Near infrared (NIR) hyperspectral imaging. IFAC-PapersOnLine. 52(30). 257–262. 1 indexed citations
11.
Bai, Xiwei, et al.. (2018). <i>Research on Classification Method of Cotton Seeds on Machine Vision</i>. 2018 Detroit, Michigan July 29 - August 1, 2018. 1 indexed citations
12.
Wang, Wei, Xin Zhao, Xuan Chu, et al.. (2018). <i>Rapid Classification of Corn Varieties by Using Near Infrared Spectroscopy</i>. 2018 Detroit, Michigan July 29 - August 1, 2018. 2 indexed citations
13.
Chu, Xuan, Wei Wang, Xinzhi Ni, et al.. (2018). Evaluation of growth characteristics of Aspergillus parasiticus inoculated in different culture media by shortwave infrared (SWIR) hyperspectral imaging. Journal of Innovative Optical Health Sciences. 11(5). 1 indexed citations
14.
Wang, Wei, Hongzhe Jiang, Xin Zhao, et al.. (2018). <i>Evaluation of growth characteristics of a mixed culture of toxigenic fungi by Visible/Near-infrared hyperspectral imaging</i>. 2018 Detroit, Michigan July 29 - August 1, 2018. 2 indexed citations
15.
Qian, Yuting, Daoyou Guo, Xuan Chu, et al.. (2017). Mg-doped p-type β-Ga2O3 thin film for solar-blind ultraviolet photodetector. Materials Letters. 209. 558–561. 127 indexed citations
17.
Yuan, Ying, et al.. (2016). [Selection of Characteristic Wavelengths Using SPA and Qualitative Discrimination of Mildew Degree of Corn Kernels Based on SVM].. PubMed. 36(1). 226–30. 14 indexed citations
18.
Wang, Wei, et al.. (2015). A review of technology development process of a typical shrimp peeling machine. Journal of Advanced Mechanical Design Systems and Manufacturing. 9(2). JAMDSM0013–JAMDSM0013. 2 indexed citations
19.
Chu, Xuan, et al.. (2014). [Hyperspectral optimum wavelengths and Fisher discrimination analysis to distinguish different concentrations of aflatoxin on corn kernel surface].. PubMed. 34(7). 1811–5. 5 indexed citations
20.
Wang, Wei, Kurt C. Lawrence, Gerald W. Heitschmidt, et al.. (2013). Classification of different level of Aflatoxin B1 on corn kernels surface using short-wave infrared reflectance hyperspectral imaging. 2013 Kansas City, Missouri, July 21 - July 24, 2013. 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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