Xihui Bian

1.4k total citations
53 papers, 1.0k citations indexed

About

Xihui Bian is a scholar working on Analytical Chemistry, Biophysics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Xihui Bian has authored 53 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Analytical Chemistry, 21 papers in Biophysics and 14 papers in Industrial and Manufacturing Engineering. Recurrent topics in Xihui Bian's work include Spectroscopy and Chemometric Analyses (37 papers), Spectroscopy Techniques in Biomedical and Chemical Research (21 papers) and Water Quality Monitoring and Analysis (14 papers). Xihui Bian is often cited by papers focused on Spectroscopy and Chemometric Analyses (37 papers), Spectroscopy Techniques in Biomedical and Chemical Research (21 papers) and Water Quality Monitoring and Analysis (14 papers). Xihui Bian collaborates with scholars based in China, Australia and Netherlands. Xihui Bian's co-authors include Xiaoyao Tan, Xueguang Shao, Wensheng Cai, Yugao Guo, Peng Liu, Ligang Lin, Kaiyi Wang, Qian Li, Zhang Fei and Min Zhang and has published in prestigious journals such as Journal of Hazardous Materials, Food Chemistry and Nanoscale.

In The Last Decade

Xihui Bian

50 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xihui Bian China 19 807 428 297 268 113 53 1.0k
Jan Gerretzen Netherlands 14 889 1.1× 436 1.0× 373 1.3× 176 0.7× 281 2.5× 17 1.3k
Edvan Cirino Silva Brazil 7 1.0k 1.3× 347 0.8× 335 1.1× 328 1.2× 102 0.9× 9 1.2k
Chao Tan China 25 905 1.1× 467 1.1× 402 1.4× 162 0.6× 310 2.7× 106 1.6k
Shungeng Min China 19 953 1.2× 346 0.8× 388 1.3× 290 1.1× 192 1.7× 79 1.4k
Jeroen J. Jansen Netherlands 13 931 1.2× 400 0.9× 368 1.2× 179 0.7× 367 3.2× 33 1.5k
Gledson Emı́dio José Brazil 10 1.3k 1.6× 490 1.1× 411 1.4× 428 1.6× 171 1.5× 10 1.5k
Désiré-Luc Massart Belgium 8 1.0k 1.3× 398 0.9× 351 1.2× 346 1.3× 151 1.3× 9 1.3k
Xiaojing Chen China 18 557 0.7× 198 0.5× 285 1.0× 167 0.6× 131 1.2× 49 948
Р. З. Сафиева Russia 11 860 1.1× 399 0.9× 572 1.9× 199 0.7× 94 0.8× 30 1.4k
Jerome Workman United States 23 1.0k 1.3× 437 1.0× 542 1.8× 250 0.9× 227 2.0× 59 1.6k

Countries citing papers authored by Xihui Bian

Since Specialization
Citations

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

Fields of papers citing papers by Xihui Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xihui Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Xihui Bian. A scholar is included among the top collaborators of Xihui Bian 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 Xihui Bian. Xihui Bian 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.
Yan, Fanyong, et al.. (2025). Machine learning-assisted carbon dots synthesis and analysis: State of the art and future directions. TrAC Trends in Analytical Chemistry. 184. 118141–118141. 8 indexed citations
2.
Bian, Xihui, et al.. (2025). Accurate and intelligent quantification of adulterated Angelicae Sinensis Radix by a novel ensemble method with near-infrared spectroscopy. Journal of Applied Research on Medicinal and Aromatic Plants. 46. 100640–100640. 1 indexed citations
3.
4.
Zhao, Junmeng, et al.. (2025). Variational mode decomposition unfolded extreme learning machine for spectral quantitative analysis of complex samples. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 340. 126354–126354. 1 indexed citations
5.
Bian, Xihui, et al.. (2025). A review on sample subset selection methods for multivariate modelling. Chemometrics and Intelligent Laboratory Systems. 265. 105493–105493. 1 indexed citations
6.
7.
Liu, Yu, et al.. (2025). Modern spectroscopic techniques combined with chemometrics for process quality control of traditional Chinese medicine: A review. Microchemical Journal. 213. 113605–113605. 4 indexed citations
8.
Bian, Xihui, et al.. (2024). Rapid quantification of grapeseed oil multiple adulterations using near-infrared spectroscopy coupled with a novel double ensemble modeling method. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 311. 124016–124016. 16 indexed citations
9.
Sun, Hao, et al.. (2024). Firefly Interval Selection Combined With Extreme Learning Machine for Spectral Quantification of Complex Samples. Journal of Chemometrics. 38(9). 1 indexed citations
10.
Huang, Danyang, Wenbo Liu, Pengcheng Liu, et al.. (2024). Electrode informatics accelerated the optimization of key catalyst layer parameters in direct methanol fuel cells. Nanoscale. 17(2). 864–876. 2 indexed citations
11.
Wang, Yao, Zihan Li, Wenqiang Wang, et al.. (2024). Rapid quantification of single component oil in perilla oil blends by ultraviolet–visible spectroscopy combined with chemometrics. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 321. 124710–124710. 4 indexed citations
12.
Bian, Xihui, et al.. (2022). Near infrared spectroscopic variable selection by a novel swarm intelligence algorithm for rapid quantification of high order edible blend oil. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 284. 121788–121788. 46 indexed citations
13.
Zhang, Huan, Xiao Hu, Limei Liu, Junfu Wei, & Xihui Bian. (2022). Near infrared spectroscopy combined with chemometrics for quantitative analysis of corn oil in edible blend oil. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 270. 120841–120841. 54 indexed citations
14.
Bian, Xihui, et al.. (2022). Spectral denoising based on Hilbert–Huang transform combined with F-test. Frontiers in Chemistry. 10. 949461–949461. 9 indexed citations
15.
Wang, Kaiyi, Xihui Bian, Meng Zheng, et al.. (2021). Rapid determination of hemoglobin concentration by a novel ensemble extreme learning machine method combined with near-infrared spectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 263. 120138–120138. 25 indexed citations
16.
17.
Bian, Xihui, et al.. (2017). Ensemble calibration for the spectral quantitative analysis of complex samples. Journal of Chemometrics. 32(11). 29 indexed citations
18.
Lin, Ligang, Hui Sun, Kaiyu Zhang, et al.. (2016). Novel affinity membranes with macrocyclic spacer arms synthesized via click chemistry for lysozyme binding. Journal of Hazardous Materials. 327. 97–107. 12 indexed citations
19.
Bian, Xihui, Wensheng Cai, Xueguang Shao, Da Chen, & Edward R. Grant. (2010). Detecting influential observations by cluster analysis and Monte Carlo cross-validation. The Analyst. 135(11). 2841–2841. 21 indexed citations
20.
Shao, Xueguang, Xihui Bian, & Wensheng Cai. (2010). An improved boosting partial least squares method for near-infrared spectroscopic quantitative analysis. Analytica Chimica Acta. 666(1-2). 32–37. 73 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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2026