Baoxiang Liu

931 total citations
38 papers, 682 citations indexed

About

Baoxiang Liu is a scholar working on Information Systems, Computational Theory and Mathematics and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Baoxiang Liu has authored 38 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 8 papers in Computational Theory and Mathematics and 7 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Baoxiang Liu's work include Rough Sets and Fuzzy Logic (8 papers), Advanced Computational Techniques and Applications (6 papers) and Data Mining Algorithms and Applications (5 papers). Baoxiang Liu is often cited by papers focused on Rough Sets and Fuzzy Logic (8 papers), Advanced Computational Techniques and Applications (6 papers) and Data Mining Algorithms and Applications (5 papers). Baoxiang Liu collaborates with scholars based in China, Australia and Singapore. Baoxiang Liu's co-authors include Jiugao Yu, Xiaofei Ma, Jingwen Yang, Peter R. Chang, Pengwu Zheng, Debbie P. Anderson, Na Zhang, Likun Ren, Yang Yang and Xin Bian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Bioresource Technology.

In The Last Decade

Baoxiang Liu

30 papers receiving 663 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Baoxiang Liu 222 169 118 113 109 38 682
Yong Hu 151 0.7× 74 0.4× 80 0.7× 50 0.4× 125 1.1× 36 501
Roya Koshani 343 1.5× 106 0.6× 165 1.4× 75 0.7× 184 1.7× 33 699
Jianbin Li 228 1.0× 119 0.7× 224 1.9× 52 0.5× 240 2.2× 42 937
Ahmad Azfaralariff 112 0.5× 99 0.6× 131 1.1× 63 0.6× 29 0.3× 37 591
Fernando C. S. de Oliveira 118 0.5× 86 0.5× 108 0.9× 41 0.4× 69 0.6× 7 469
Thayse Marques Passos 117 0.5× 84 0.5× 145 1.2× 34 0.3× 63 0.6× 9 570
Héla Kchaou 562 2.5× 139 0.8× 227 1.9× 160 1.4× 92 0.8× 30 986
Tahmasb Hatami 170 0.8× 67 0.4× 252 2.1× 116 1.0× 435 4.0× 60 975
Patrícia Benelli 264 1.2× 39 0.2× 161 1.4× 78 0.7× 141 1.3× 15 714
Xiaoming Guo 54 0.2× 88 0.5× 57 0.5× 126 1.1× 166 1.5× 40 760

Countries citing papers authored by Baoxiang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Baoxiang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoxiang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Baoxiang Liu. A scholar is included among the top collaborators of Baoxiang Liu 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 Baoxiang Liu. Baoxiang Liu 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.
Lin, Nan, et al.. (2025). ECG Waveform Segmentation via Dual-Stream Network with Selective Context Fusion. Electronics. 14(19). 3925–3925.
2.
Bian, Xin, Chunmin Ma, Likun Ren, et al.. (2024). Effects of soy protein isolate interaction with brown rice starch on the multiscale structure of brown rice bread. Journal of the Science of Food and Agriculture. 105(1). 649–660. 3 indexed citations
3.
Xu, Yue, Yang Yang, Chunmin Ma, et al.. (2023). The improvement of the oxidative oat (Avena sativa L.) protein based on ultrasound treatment: Study of structural, emulsifying, and rheological properties. Food Hydrocolloids. 144. 109047–109047. 33 indexed citations
4.
Yang, Yang, Fenglian Chen, Jing Fan, et al.. (2022). Effects of Concentration of Soybean Protein Isolate and Maltose and Oil Phase Volume Fraction on Freeze–Thaw Stability of Pickering Emulsion. Foods. 11(24). 4018–4018. 18 indexed citations
5.
Liu, Baoxiang, Yang Yang, Likun Ren, et al.. (2022). HS-GC-IMS and PCA to Characterize the Volatile Flavor Compounds in Three Sweet Cherry Cultivars and Their Wines in China. Molecules. 27(24). 9056–9056. 22 indexed citations
6.
Ren, Likun, Yang Yang, Chunmin Ma, et al.. (2022). Identification and in silico analysis of novel antioxidant peptides in broken rice protein hydrolysate and its cytoprotective effect against H2O2-induced 2BS cell model. Food Research International. 162(Pt B). 112108–112108. 44 indexed citations
7.
Ren, Likun, Yang Yang, Xiaofei Liu, et al.. (2022). Identification, in silico selection, and mechanism study of novel antioxidant peptides derived from the rice bran protein hydrolysates. Food Chemistry. 408. 135230–135230. 52 indexed citations
8.
Liu, Baoxiang, et al.. (2021). Analyses of the volatile compounds in cherry wine during fermentation and aging in bottle using HS-GC-IMS. Food Science and Technology Research. 27(4). 599–607. 8 indexed citations
9.
Li, Mingxia, et al.. (2020). The Interval Parameter Optimization Model Based on Three-Way Decision Space and Its Application on “Green Products Recommendation”. Discrete Dynamics in Nature and Society. 2020. 1–12. 4 indexed citations
10.
Liu, Baoxiang, et al.. (2020). Research on Image Granulation in Granular Computing. 9. 667–674. 1 indexed citations
11.
Yang, Yafeng, Ru Zhang, & Baoxiang Liu. (2019). Dynamic Horizontal Union Algorithm for Multiple Interval Concept Lattices. Mathematics. 7(2). 159–159. 2 indexed citations
12.
Yang, Yafeng, Ru Zhang, & Baoxiang Liu. (2019). Dynamic Parallel Mining Algorithm of Association Rules Based on Interval Concept Lattice. Mathematics. 7(7). 647–647. 1 indexed citations
13.
Zhang, Feng, et al.. (2015). Granular Computing Based Ontology Learning Model and Its Applications. SHILAP Revista de lepidopterología. 15(6). 103–112. 3 indexed citations
14.
Chang, Peter R., Pengwu Zheng, Baoxiang Liu, et al.. (2011). Characterization of magnetic soluble starch-functionalized carbon nanotubes and its application for the adsorption of the dyes. Journal of Hazardous Materials. 186(2-3). 2144–2150. 172 indexed citations
15.
Zhu, Rongbo, Yanchun Zhang, Baoxiang Liu, & Chun‐Feng Liu. (2010). Proceedings of the Second international conference on Information Computing and Applications. 1 indexed citations
16.
Yu, Jiugao, Jingwen Yang, Baoxiang Liu, & Xiaofei Ma. (2009). Preparation and characterization of glycerol plasticized-pea starch/ZnO–carboxymethylcellulose sodium nanocomposites. Bioresource Technology. 100(11). 2832–2841. 260 indexed citations
17.
Liu, Baoxiang, Yafeng Yang, & Yankun Li. (2009). Construction of set pair knowledge connection function and application. 36. 170–172. 1 indexed citations
18.
Liu, Baoxiang. (2008). Trend and Current Situation of Flux for Aluminium and Its Alloys. 1 indexed citations
19.
Liu, Baoxiang. (2006). The Method of Set Pair Analysis Based on Rough Set Theory.
20.
Liu, Baoxiang. (2003). The Usage of Dynamic Array in Visual C. 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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